chore: update Docker image names to reflect new repository ownership

chore: update changelog for v0.2.5 release and bump version to v0.2.5
feat(video): implement video generation task creation and polling mechanism
2026-07-24 15:24:06 +08:00 · 2026-06-08 15:30:08 +08:00 · 2026-06-08 15:27:33 +08:00 · 2026-06-08 15:26:35 +08:00 · 2026-06-08 15:11:16 +08:00 · 2026-06-08 14:59:30 +08:00
28 changed files with 2327 additions and 453 deletions
@@ -9,9 +9,37 @@ permissions:
  contents: read
  packages: write

+env:
+  IMAGE_NAME: ghcr.io/basketikun/infinite-canvas
+
 jobs:
-  build:
+  meta:
    runs-on: ubuntu-latest
+    outputs:
+      tags: ${{ steps.meta.outputs.tags }}
+      labels: ${{ steps.meta.outputs.labels }}
+    steps:
+      - id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.IMAGE_NAME }}
+          tags: |
+            type=ref,event=tag
+            type=sha,prefix=
+
+  build:
+    needs: meta
+    runs-on: ${{ matrix.runner }}
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - platform: linux/amd64
+            arch: amd64
+            runner: ubuntu-latest
+          - platform: linux/arm64
+            arch: arm64
+            runner: ubuntu-24.04-arm
    steps:
      - uses: actions/checkout@v4

@@ -23,19 +51,65 @@ jobs:
          username: ${{ github.actor }}
          password: ${{ secrets.GITHUB_TOKEN }}

-      - id: meta
-        uses: docker/metadata-action@v5
-        with:
-          images: ghcr.io/${{ github.repository }}
-          tags: |
-            type=ref,event=tag
-            type=sha,prefix=
-
-      - uses: docker/build-push-action@v6
+      - id: build
+        uses: docker/build-push-action@v6
        with:
          context: .
-          push: true
-          tags: ${{ steps.meta.outputs.tags }}
-          labels: ${{ steps.meta.outputs.labels }}
-          cache-from: type=gha
-          cache-to: type=gha,mode=max
+          platforms: ${{ matrix.platform }}
+          labels: ${{ needs.meta.outputs.labels }}
+          outputs: type=image,name=${{ env.IMAGE_NAME }},push-by-digest=true,name-canonical=true,push=true
+          cache-from: type=gha,scope=app-${{ matrix.arch }}
+          cache-to: type=gha,mode=max,scope=app-${{ matrix.arch }}
+
+      - name: Export digest
+        shell: bash
+        run: |
+          mkdir -p "$RUNNER_TEMP/digests"
+          digest="${{ steps.build.outputs.digest }}"
+          touch "$RUNNER_TEMP/digests/${digest#sha256:}"
+
+      - uses: actions/upload-artifact@v4
+        with:
+          name: digests-${{ matrix.arch }}
+          path: ${{ runner.temp }}/digests/*
+          if-no-files-found: error
+          retention-days: 1
+
+  merge:
+    needs:
+      - meta
+      - build
+    runs-on: ubuntu-latest
+    steps:
+      - uses: docker/setup-buildx-action@v3
+
+      - uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - uses: actions/download-artifact@v4
+        with:
+          path: ${{ runner.temp }}/digests
+          pattern: digests-*
+          merge-multiple: true
+
+      - name: Create multi-arch manifest
+        shell: bash
+        env:
+          TAGS: ${{ needs.meta.outputs.tags }}
+        run: |
+          tag_args=()
+          while IFS= read -r tag; do
+            if [ -n "$tag" ]; then
+              tag_args+=("-t" "$tag")
+            fi
+          done <<< "$TAGS"
+
+          digest_args=()
+          while IFS= read -r digest_file; do
+            digest_args+=("${IMAGE_NAME}@sha256:${digest_file}")
+          done < <(find "$RUNNER_TEMP/digests" -type f -printf '%f\n' | sort)
+
+          docker buildx imagetools create "${tag_args[@]}" "${digest_args[@]}"
@@ -9,9 +9,38 @@ permissions:
  contents: read
  packages: write

+env:
+  IMAGE_NAME: ghcr.io/basketikun/infinite-canvas-docs
+
 jobs:
-  build:
+  meta:
    runs-on: ubuntu-latest
+    outputs:
+      tags: ${{ steps.meta.outputs.tags }}
+      labels: ${{ steps.meta.outputs.labels }}
+    steps:
+      - id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.IMAGE_NAME }}
+          tags: |
+            type=raw,value=latest
+            type=ref,event=tag
+            type=sha,prefix=
+
+  build:
+    needs: meta
+    runs-on: ${{ matrix.runner }}
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - platform: linux/amd64
+            arch: amd64
+            runner: ubuntu-latest
+          - platform: linux/arm64
+            arch: arm64
+            runner: ubuntu-24.04-arm
    steps:
      - uses: actions/checkout@v4

@@ -23,21 +52,66 @@ jobs:
          username: ${{ github.actor }}
          password: ${{ secrets.GITHUB_TOKEN }}

-      - id: meta
-        uses: docker/metadata-action@v5
-        with:
-          images: ghcr.io/${{ github.repository }}-docs
-          tags: |
-            type=raw,value=latest
-            type=ref,event=tag
-            type=sha,prefix=
-
-      - uses: docker/build-push-action@v6
+      - id: build
+        uses: docker/build-push-action@v6
        with:
          context: .
          file: ./docs/Dockerfile
-          push: true
-          tags: ${{ steps.meta.outputs.tags }}
-          labels: ${{ steps.meta.outputs.labels }}
-          cache-from: type=gha,scope=docs
-          cache-to: type=gha,mode=max,scope=docs
+          platforms: ${{ matrix.platform }}
+          labels: ${{ needs.meta.outputs.labels }}
+          outputs: type=image,name=${{ env.IMAGE_NAME }},push-by-digest=true,name-canonical=true,push=true
+          cache-from: type=gha,scope=docs-${{ matrix.arch }}
+          cache-to: type=gha,mode=max,scope=docs-${{ matrix.arch }}
+
+      - name: Export digest
+        shell: bash
+        run: |
+          mkdir -p "$RUNNER_TEMP/digests"
+          digest="${{ steps.build.outputs.digest }}"
+          touch "$RUNNER_TEMP/digests/${digest#sha256:}"
+
+      - uses: actions/upload-artifact@v4
+        with:
+          name: docs-digests-${{ matrix.arch }}
+          path: ${{ runner.temp }}/digests/*
+          if-no-files-found: error
+          retention-days: 1
+
+  merge:
+    needs:
+      - meta
+      - build
+    runs-on: ubuntu-latest
+    steps:
+      - uses: docker/setup-buildx-action@v3
+
+      - uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - uses: actions/download-artifact@v4
+        with:
+          path: ${{ runner.temp }}/digests
+          pattern: docs-digests-*
+          merge-multiple: true
+
+      - name: Create multi-arch manifest
+        shell: bash
+        env:
+          TAGS: ${{ needs.meta.outputs.tags }}
+        run: |
+          tag_args=()
+          while IFS= read -r tag; do
+            if [ -n "$tag" ]; then
+              tag_args+=("-t" "$tag")
+            fi
+          done <<< "$TAGS"
+
+          digest_args=()
+          while IFS= read -r digest_file; do
+            digest_args+=("${IMAGE_NAME}@sha256:${digest_file}")
+          done < <(find "$RUNNER_TEMP/digests" -type f -printf '%f\n' | sort)
+
+          docker buildx imagetools create "${tag_args[@]}" "${digest_args[@]}"
@@ -2,6 +2,21 @@

 ## Unreleased

+## v0.2.5 - 2026-06-08
+
+ [新增] 新增图片切图功能。
+ [新增] 支持webdav同步数据。
+ [修复] 修复画布文字节点错误问题。
+
+## v0.2.4 - 2026-06-04
+
+ [新增] 新增图片反推提示词功能。
+
+## v0.2.3 - 2026-06-04
+
+ [新增] 新增图片蒙版局部修改功能。
+ [优化] 优化配置节点@图片功能。
+
 ## v0.2.2 - 2026-06-04

 + [新增] 新增图片放大工具。
@@ -1 +1 @@
-v0.2.1
+v0.2.5
@@ -5,8 +5,15 @@ description: 当前版本已实现但仍需人工验证的变更项

 # 待测试

+- 视频创作台创建视频任务成功后会立即写入左侧生成记录，状态显示为“生成中”；刷新页面后会读取本地任务 ID 继续轮询，任务成功或失败后更新同一条记录，需要验证 OpenAI 视频接口和 Seedance 任务接口的刷新恢复。
+- 修复画布文字节点编辑时双击进入编辑、全选文本出现重影和错位的问题；文字节点内容编辑框改为使用原生 textarea 文本渲染，仍保留 `@` 资源候选插入，需要验证编辑态选区、展示态文字换行和右上角“生图”按钮避让都正常。
+- 配置弹窗新增 WebDAV 同步配置，可填写 WebDAV 地址、远程目录、用户名和密码/应用密码，并选择“前端直连”或“Next.js 转发”；远端会按 `canvas/`、`assets/`、`image-workbench/`、`video-workbench/` 四个业务目录分别写入 `manifest.json` 清单和 `files/` 媒体目录，会合并画布项目、我的素材、生图/视频生成记录和引用到的本地媒体文件，四个业务分区会并发同步，并在同步中显示读取远端、检查媒体、上传新增媒体、上传清单等阶段和文件计数进度条；WebDAV 请求会做超时提示，目录已存在但 `MKCOL` 返回 `423 Locked` 时会复查目录存在后继续同步，需要在支持 CORS 的 NAS/WebDAV 服务和不支持 CORS 的 Koofr 转发模式下验证首次上传、第二台设备拉取合并、再次同步和认证失败提示。
+- 图片节点悬浮工具栏新增“切图”入口；点击后可输入行数和列数，预览切分网格，并在确认后把原图切成对应数量的图片子节点，按原图网格排列到画布右侧且自动与原图连线。
+- 画布生成配置节点的“生成配置/组装提示词”改为在节点下方打开独立输入浮层；浮层支持输入 `@` 从已连接图片、文本、视频、音频中选择引用，引用会以图片缩略图或文本标记展示，图片引用可放大预览；生成时再按当前引用解析为实际素材编号，不再提供或读取输入排序。
+- 图片节点悬浮工具栏新增“局部编辑”入口，打开后可在图片上用画笔/擦除工具绘制遮罩区域、填写局部修改要求，并通过图片编辑接口携带同尺寸 PNG mask 生成新图片节点；结果节点会放在原图右侧并自动连线，原图保持不变。
+- 图片节点悬浮工具栏新增“反推提示词”入口；点击后会在原图右侧创建包含反推预设提示词的文本节点，并继续创建一个已切到“文本”模式的生成配置节点，图片节点和文本节点都会自动连到该配置节点，配置节点会预填包含原图和文本节点引用的组装提示词并自动打开，用户可自行点击配置节点开始生成。
 - 图片节点悬浮工具栏新增“复制提示词”、“放大”和“超分”入口，并在末尾增加 `...` 更多按钮；点击“复制提示词”会复制生成该图片的提示词，图片没有提示词时会提示暂无可复制内容；点击 `...` 后打开 Ant Design 风格的“自定义工具栏”弹窗，可在图片节点占位上预览悬浮工具栏，信息、删除、存素材、下载、编辑和图片工具都在同一个快捷工具列表中勾选配置，并可切换是否显示按钮文字，保存后写入本地配置；`...` 配置入口固定显示，预览工具栏下方提供常驻横向滚动控制条。“放大”可在弹窗中选择 1K/2K/4K 目标像素和高清插值、双线性、最近邻算法，按原图比例生成新图片节点，已达到的目标像素会禁用并提示无需放大，最高不超过 4K；“超分”当前只打开暂未实现弹窗。
- Canvas 资源节点会按当前生成上下文显示 `图片1`、`视频1`、`音频1`、`文本1` 角标；文本节点内容框、节点底部 prompt 面板和生成配置预览文本编辑框输入 `@` 时应弹出已连接资源选择器，点击缩略图或文字可插入纯文本编号，并以蓝色 token 视觉高亮。
+- Canvas 资源节点会按当前生成上下文显示 `图片1`、`视频1`、`音频1`、`文本1` 角标；文本节点内容框和节点底部 prompt 面板输入 `@` 时应弹出已连接资源选择器，点击缩略图或文字可插入纯文本编号，并以蓝色 token 视觉高亮。
 - 文本节点连接到生成配置节点时，`@` 候选和实际生成输入应读取该生成配置节点的上游参考资源；生成配置输入统计区域应可拖动整个配置节点，预览按钮和设置控件仍保持可点击。
 - 配置弹窗改为“配置与用户偏好”并放大为可滚动弹窗；本地直连支持配置生图、视频、文本、音频四类可选模型列表和默认模型，新建画布生图和配置节点会读取“画布默认生图张数”，需要验证远程渠道和本地直连模型列表都能正确显示。
 - 画布音频节点底部生成面板改为音频提示词、音频模型下拉和 OpenAI Speech 参数设置，支持 `voice`、`response_format`、`speed`、`instructions` 并通过 `/audio/speech` 生成音频节点；需要验证本地直连和云端渠道的生成、重试、下载和刷新恢复。
@@ -19,16 +19,19 @@ import { canvasThemes, type CanvasBackgroundMode } from "@/lib/canvas-theme";
 import { UserStatusActions } from "@/components/layout/user-status-actions";
 import { useAssetStore } from "@/stores/use-asset-store";
 import { useThemeStore } from "@/stores/use-theme-store";
-import { cropDataUrl, upscaleDataUrl } from "../utils/canvas-image-data";
+import { cropDataUrl, splitDataUrl, upscaleDataUrl } from "../utils/canvas-image-data";
 import { fitNodeSize, nodeSizeFromRatio } from "../utils/canvas-node-size";
 import { App, Button, Dropdown, Modal } from "antd";
 import { NODE_DEFAULT_SIZE, getNodeSpec } from "../constants";
 import { ActiveConnectionPath, ConnectionPath } from "../components/canvas-connections";
+import { CanvasConfigComposer } from "../components/canvas-config-composer";
 import { CanvasConfigNodePanel } from "../components/canvas-config-node-panel";
 import { CanvasAssistantPanel } from "../components/canvas-assistant-panel";
 import { CanvasNodeContextMenu } from "../components/canvas-context-menu";
 import { CanvasNodeAngleDialog, type CanvasImageAngleParams } from "../components/canvas-node-angle-dialog";
 import { CanvasNodeCropDialog, type CanvasImageCropRect } from "../components/canvas-node-crop-dialog";
+import { CanvasNodeMaskEditDialog, type CanvasImageMaskEditPayload } from "../components/canvas-node-mask-edit-dialog";
+import { CanvasNodeSplitDialog, type CanvasImageSplitParams } from "../components/canvas-node-split-dialog";
 import { CanvasNodeUpscaleDialog, type CanvasImageUpscaleParams } from "../components/canvas-node-upscale-dialog";
 import { buildNodeChatMessages, buildNodeGenerationContext, buildNodeGenerationInputs, hydrateNodeGenerationContext, type NodeGenerationInput } from "../components/canvas-node-generation";
 import { CanvasNodeHoverToolbar, CanvasNodeInfoModal } from "../components/canvas-node-hover-toolbar";
@@ -40,7 +43,7 @@ import { CanvasToolbar } from "../components/canvas-toolbar";
 import { AssetPickerModal, type AssetPickerTab, type InsertAssetPayload } from "../components/asset-picker-modal";
 import { CanvasZoomControls } from "../components/canvas-zoom-controls";
 import { useCanvasStore } from "../stores/use-canvas-store";
-import { buildCanvasResourceReferences, buildInputMentionReferences, buildNodeMentionReferences } from "../utils/canvas-resource-references";
+import { buildCanvasResourceReferences, buildNodeMentionReferences } from "../utils/canvas-resource-references";
 import {
    CanvasNodeType,
    type CanvasAssistantImage,
@@ -87,6 +90,12 @@ const CONNECTION_NODE_HIT_PADDING = 32;
 const NODE_STATUS_LOADING = "loading" as const;
 const NODE_STATUS_SUCCESS = "success" as const;
 const NODE_STATUS_ERROR = "error" as const;
+const IMAGE_PROMPT_REVERSE_PRESET = `请根据参考图片反推一段适合用于 AI 生图的提示词。
+
+要求：
+1. 只输出提示词正文，不要解释。
+2. 覆盖主体、构图、风格、光线、色彩、材质、镜头和氛围。
+3. 尽量写成可直接用于生图模型的完整提示词。`;

 function createCanvasNode(type: CanvasNodeType, position: Position, metadata?: CanvasNodeMetadata): CanvasNodeData {
    const spec = getNodeSpec(type);
@@ -273,6 +282,8 @@ function InfiniteCanvasPage() {
    const [editRequestNonce, setEditRequestNonce] = useState(0);
    const [infoNodeId, setInfoNodeId] = useState<string | null>(null);
    const [cropNodeId, setCropNodeId] = useState<string | null>(null);
+    const [maskEditNodeId, setMaskEditNodeId] = useState<string | null>(null);
+    const [splitNodeId, setSplitNodeId] = useState<string | null>(null);
    const [upscaleNodeId, setUpscaleNodeId] = useState<string | null>(null);
    const [superResolveNodeId, setSuperResolveNodeId] = useState<string | null>(null);
    const [angleNodeId, setAngleNodeId] = useState<string | null>(null);
@@ -576,6 +587,8 @@ function InfiniteCanvasPage() {
    const toolbarNode = toolbarNodeId ? nodeById.get(toolbarNodeId) || null : null;
    const infoNode = infoNodeId ? nodeById.get(infoNodeId) || null : null;
    const cropNode = cropNodeId ? nodeById.get(cropNodeId) || null : null;
+    const maskEditNode = maskEditNodeId ? nodeById.get(maskEditNodeId) || null : null;
+    const splitNode = splitNodeId ? nodeById.get(splitNodeId) || null : null;
    const upscaleNode = upscaleNodeId ? nodeById.get(upscaleNodeId) || null : null;
    const superResolveNode = superResolveNodeId ? nodeById.get(superResolveNodeId) || null : null;
    const angleNode = angleNodeId ? nodeById.get(angleNodeId) || null : null;
@@ -635,12 +648,6 @@ function InfiniteCanvasPage() {
        nodes.forEach((node) => map.set(node.id, buildNodeMentionReferences(node, nodes, connections)));
        return map;
    }, [connections, nodes]);
-    const configMentionReferencesById = useMemo(() => {
-        const map = new Map<string, ReturnType<typeof buildInputMentionReferences>>();
-        configInputsById.forEach((inputs, nodeId) => map.set(nodeId, buildInputMentionReferences(inputs)));
-        return map;
-    }, [configInputsById]);
-
    const createNode = useCallback(
        (type: CanvasNodeType, position?: Position) => {
            const targetPosition = position || getCanvasCenter();
@@ -698,6 +705,7 @@ function InfiniteCanvasPage() {
            setEditingNodeId((current) => (current && allIds.has(current) ? null : current));
            setInfoNodeId((current) => (current && allIds.has(current) ? null : current));
            setCropNodeId((current) => (current && allIds.has(current) ? null : current));
+            setMaskEditNodeId((current) => (current && allIds.has(current) ? null : current));
            setAngleNodeId((current) => (current && allIds.has(current) ? null : current));
            setPreviewNodeId((current) => (current && allIds.has(current) ? null : current));
            setRunningNodeId((current) => (current && allIds.has(current) ? null : current));
@@ -730,6 +738,7 @@ function InfiniteCanvasPage() {
        setConnections([]);
        setInfoNodeId(null);
        setCropNodeId(null);
+        setMaskEditNodeId(null);
        setAngleNodeId(null);
        setPreviewNodeId(null);
        setRunningNodeId(null);
@@ -1226,7 +1235,8 @@ function InfiniteCanvasPage() {

    useEffect(() => {
        const handleKeyDown = (event: KeyboardEvent) => {
-            if (event.target instanceof HTMLInputElement || event.target instanceof HTMLTextAreaElement || event.target instanceof HTMLSelectElement) return;
+            const target = event.target instanceof Element ? event.target : null;
+            if (event.target instanceof HTMLInputElement || event.target instanceof HTMLTextAreaElement || event.target instanceof HTMLSelectElement || target?.closest("[contenteditable='true'],[data-canvas-no-zoom]")) return;

            const key = event.key.toLowerCase();
            const isModifierShortcut = event.metaKey || event.ctrlKey;
@@ -1285,6 +1295,7 @@ function InfiniteCanvasPage() {
                setEditingNodeId(null);
                setInfoNodeId(null);
                setCropNodeId(null);
+                setMaskEditNodeId(null);
                setPendingConnectionCreate(null);
            }
        };
@@ -1439,6 +1450,53 @@ function InfiniteCanvasPage() {
        [addAsset, message],
    );

+    const createImageReversePromptNodes = useCallback(
+        (node: CanvasNodeData) => {
+            if (node.type !== CanvasNodeType.Image || !node.metadata?.content) {
+                message.warning("图片节点为空，无法反推提示词");
+                return;
+            }
+
+            const gap = 96;
+            const textSpec = NODE_DEFAULT_SIZE[CanvasNodeType.Text];
+            const configSpec = NODE_DEFAULT_SIZE[CanvasNodeType.Config];
+            const centerY = node.position.y + node.height / 2;
+            const textNode = {
+                ...createCanvasNode(
+                    CanvasNodeType.Text,
+                    { x: node.position.x + node.width + gap + textSpec.width / 2, y: centerY },
+                    { content: IMAGE_PROMPT_REVERSE_PRESET, prompt: IMAGE_PROMPT_REVERSE_PRESET, status: NODE_STATUS_SUCCESS, fontSize: 14 },
+                ),
+                title: "反推提示词",
+            };
+            const configNode = {
+                ...createCanvasNode(
+                    CanvasNodeType.Config,
+                    { x: textNode.position.x + textNode.width + gap + configSpec.width / 2, y: centerY },
+                    {
+                        generationMode: "text",
+                        model: effectiveConfig.textModel || effectiveConfig.model || defaultConfig.textModel,
+                        count: 1,
+                        composerContent: `参考图片：@[node:${node.id}]\n任务说明：@[node:${textNode.id}]`,
+                    },
+                ),
+                title: "反推提示词配置",
+            };
+
+            setNodes((prev) => [...prev, textNode, configNode]);
+            setConnections((prev) => [
+                ...prev,
+                { id: nanoid(), fromNodeId: node.id, toNodeId: configNode.id },
+                { id: nanoid(), fromNodeId: textNode.id, toNodeId: configNode.id },
+            ]);
+            setSelectedNodeIds(new Set([configNode.id]));
+            setSelectedConnectionId(null);
+            setDialogNodeId(configNode.id);
+            setContextMenu(null);
+        },
+        [effectiveConfig.model, effectiveConfig.textModel, message],
+    );
+
    const cropImageNode = useCallback(async (node: CanvasNodeData, crop: CanvasImageCropRect) => {
        if (!node.metadata?.content) return;
        const cropped = await cropDataUrl(node.metadata.content, crop);
@@ -1464,6 +1522,91 @@ function InfiniteCanvasPage() {
        setCropNodeId(null);
    }, []);

+    const splitImageNode = useCallback(
+        async (node: CanvasNodeData, params: CanvasImageSplitParams) => {
+            if (!node.metadata?.content) return;
+            setSplitNodeId(null);
+            const pieces = await splitDataUrl(node.metadata.content, params);
+            const gap = 16;
+            const cellWidth = node.width / params.columns;
+            const cellHeight = node.height / params.rows;
+            const startX = node.position.x + node.width + 96;
+            const startY = node.position.y;
+            const childNodes = await Promise.all(
+                pieces.map(async (piece) => {
+                    const image = await uploadImage(piece.dataUrl);
+                    const id = nanoid();
+                    return {
+                        id,
+                        type: CanvasNodeType.Image,
+                        title: `${node.title || "图片"} ${piece.row + 1}-${piece.column + 1}`,
+                        position: { x: startX + piece.column * (cellWidth + gap), y: startY + piece.row * (cellHeight + gap) },
+                        width: cellWidth,
+                        height: cellHeight,
+                        metadata: {
+                            ...imageMetadata(image),
+                            prompt: node.metadata?.prompt,
+                        },
+                    } satisfies CanvasNodeData;
+                }),
+            );
+            setNodes((prev) => [...prev, ...childNodes]);
+            setConnections((prev) => [...prev, ...childNodes.map((child) => ({ id: nanoid(), fromNodeId: node.id, toNodeId: child.id }))]);
+            setSelectedNodeIds(new Set(childNodes.map((child) => child.id)));
+            setSelectedConnectionId(null);
+            setDialogNodeId(null);
+            message.success(`已切分为 ${childNodes.length} 个子节点`);
+        },
+        [message],
+    );
+
+    const maskEditImageNode = useCallback(
+        async (node: CanvasNodeData, payload: CanvasImageMaskEditPayload) => {
+            if (!node.metadata?.content) return;
+            const generationConfig = { ...buildGenerationConfig(effectiveConfig, node, "image"), count: "1", size: node.metadata?.size || "auto" };
+            if (!isAiConfigReady(generationConfig, generationConfig.model)) {
+                openConfigDialog(true);
+                return;
+            }
+            const userPrompt = payload.prompt.trim();
+            const prompt = `只修改蒙版透明区域，其他区域保持不变。${userPrompt}`;
+            const childId = nanoid();
+            const source = { id: node.id, name: `${node.title || node.id}.png`, type: node.metadata.mimeType || "image/png", dataUrl: node.metadata.content, storageKey: node.metadata.storageKey };
+            const generationMetadata = buildImageGenerationMetadata("edit", generationConfig, 1, [source]);
+            setMaskEditNodeId(null);
+            setRunningNodeId(childId);
+            setNodes((prev) => [
+                ...prev,
+                {
+                    id: childId,
+                    type: CanvasNodeType.Image,
+                    title: userPrompt.slice(0, 32) || "局部编辑结果",
+                    position: { x: node.position.x + node.width + 96, y: node.position.y },
+                    width: node.width,
+                    height: node.height,
+                    metadata: { prompt, status: NODE_STATUS_LOADING, ...generationMetadata },
+                },
+            ]);
+            setConnections((prev) => [...prev, { id: nanoid(), fromNodeId: node.id, toNodeId: childId }]);
+            setSelectedNodeIds(new Set([childId]));
+            setSelectedConnectionId(null);
+            setDialogNodeId(childId);
+            try {
+                const image = await requestEdit(generationConfig, prompt, [source], { id: `${node.id}-mask`, name: "mask.png", type: "image/png", dataUrl: payload.maskDataUrl }).then((items) => items[0]);
+                const uploaded = await uploadImage(image.dataUrl);
+                const size = fitNodeSize(uploaded.width, uploaded.height, node.width, node.height);
+                setNodes((prev) => prev.map((item) => (item.id === childId ? { ...item, width: size.width, height: size.height, metadata: { ...item.metadata, ...imageMetadata(uploaded), prompt, ...generationMetadata } } : item)));
+            } catch (error) {
+                const errorDetails = error instanceof Error ? error.message : "局部修改失败";
+                message.error(errorDetails);
+                setNodes((prev) => prev.map((item) => (item.id === childId ? { ...item, metadata: { ...item.metadata, status: NODE_STATUS_ERROR, errorDetails } } : item)));
+            } finally {
+                setRunningNodeId(null);
+            }
+        },
+        [effectiveConfig, isAiConfigReady, message, openConfigDialog],
+    );
+
    const upscaleImageNode = useCallback(async (node: CanvasNodeData, params: CanvasImageUpscaleParams) => {
        if (!node.metadata?.content) return;
        setUpscaleNodeId(null);
@@ -1682,12 +1825,13 @@ function InfiniteCanvasPage() {
            );
            const effectivePrompt = generationContext.prompt.trim();
            const markSourceStatus = sourceNode?.type !== CanvasNodeType.Image && !editingTextNode;
+            const statusPrompt = sourceNode?.type === CanvasNodeType.Config ? effectivePrompt : prompt;
            if (!effectivePrompt && (mode === "text" || mode === "audio")) {
                setRunningNodeId(null);
                return;
            }
            let pendingChildIds: string[] = [];
-            if (markSourceStatus) setNodes((prev) => prev.map((node) => (node.id === nodeId ? { ...node, metadata: { ...node.metadata, prompt, status: NODE_STATUS_LOADING, errorDetails: undefined } } : node)));
+            if (markSourceStatus) setNodes((prev) => prev.map((node) => (node.id === nodeId ? { ...node, metadata: { ...node.metadata, prompt: statusPrompt, status: NODE_STATUS_LOADING, errorDetails: undefined } } : node)));

            try {
                if (mode === "image") {
@@ -1751,7 +1895,7 @@ function InfiniteCanvasPage() {
                                ? isConfigNode
                                    ? {
                                          ...node,
-                                          metadata: { ...node.metadata, prompt, status: NODE_STATUS_LOADING, errorDetails: undefined },
+                                          metadata: { ...node.metadata, prompt: effectivePrompt, status: NODE_STATUS_LOADING, errorDetails: undefined },
                                      }
                                    : isEmptyImageNode
                                      ? {
@@ -1902,16 +2046,16 @@ function InfiniteCanvasPage() {
                    const childNodes: CanvasNodeData[] = childIds.map((id, index) => ({
                        id,
                        type: CanvasNodeType.Text,
-                        title: prompt.slice(0, 32) || "Generated Text",
+                        title: effectivePrompt.slice(0, 32) || "Generated Text",
                        position: {
                            x: parentPosition.x + parentConfig.width + 96,
                            y: parentPosition.y + parentConfig.height / 2 - textConfig.height / 2 + (index - (textCount - 1) / 2) * (textConfig.height + 36),
                        },
                        width: textConfig.width,
                        height: textConfig.height,
-                        metadata: { prompt, status: NODE_STATUS_LOADING, fontSize: 14 },
+                        metadata: { prompt: effectivePrompt, status: NODE_STATUS_LOADING, fontSize: 14 },
                    }));
-                    setNodes((prev) => [...prev.map((node) => (node.id === nodeId && isConfigNode ? { ...node, metadata: { ...node.metadata, prompt, status: NODE_STATUS_LOADING, errorDetails: undefined } } : node)), ...childNodes]);
+                    setNodes((prev) => [...prev.map((node) => (node.id === nodeId && isConfigNode ? { ...node, metadata: { ...node.metadata, prompt: effectivePrompt, status: NODE_STATUS_LOADING, errorDetails: undefined } } : node)), ...childNodes]);
                    setConnections((prev) => [...prev, ...childIds.map((childId) => ({ id: nanoid(), fromNodeId: nodeId, toNodeId: childId }))]);
                }

@@ -2240,32 +2384,39 @@ function InfiniteCanvasPage() {
                            showImageInfo={showImageInfo}
                            resourceLabel={resourceReferenceByNodeId.get(node.id)}
                            mentionReferences={mentionReferencesByNodeId.get(node.id) || []}
-                            renderPanel={(panelNode) => (
-                                <CanvasNodePromptPanel
-                                    node={panelNode}
-                                    isRunning={runningNodeId === panelNode.id}
-                                    mentionReferences={mentionReferencesByNodeId.get(panelNode.id) || []}
-                                    onPromptChange={handleNodePromptChange}
-                                    onConfigChange={handleConfigNodeChange}
-                                    onGenerate={handleGenerateNode}
-                                    onImageSettingsOpenChange={(open) => {
-                                        setNodeImageSettingsOpen(open);
-                                        if (open) setToolbarNodeId(null);
-                                    }}
-                                />
-                            )}
+                            renderPanel={(panelNode) =>
+                                panelNode.type === CanvasNodeType.Config ? (
+                                    <CanvasConfigComposer
+                                        value={panelNode.metadata?.composerContent ?? panelNode.metadata?.prompt ?? ""}
+                                        inputs={configInputsById.get(panelNode.id) || []}
+                                        onChange={(composerContent) => handleConfigNodeChange(panelNode.id, { composerContent })}
+                                        onClose={() => setDialogNodeId(null)}
+                                    />
+                                ) : (
+                                    <CanvasNodePromptPanel
+                                        node={panelNode}
+                                        isRunning={runningNodeId === panelNode.id}
+                                        mentionReferences={mentionReferencesByNodeId.get(panelNode.id) || []}
+                                        onPromptChange={handleNodePromptChange}
+                                        onConfigChange={handleConfigNodeChange}
+                                        onGenerate={handleGenerateNode}
+                                        onImageSettingsOpenChange={(open) => {
+                                            setNodeImageSettingsOpen(open);
+                                            if (open) setToolbarNodeId(null);
+                                        }}
+                                    />
+                                )
+                            }
                            renderNodeContent={(contentNode) => (
                                <CanvasConfigNodePanel
                                    node={contentNode}
                                    isRunning={runningNodeId === contentNode.id}
                                    inputSummary={getInputSummary(configInputsById.get(contentNode.id) || [])}
-                                    inputs={configInputsById.get(contentNode.id) || []}
-                                    mentionReferences={configMentionReferencesById.get(contentNode.id) || []}
                                    onConfigChange={handleConfigNodeChange}
-                                    onTextInputChange={handleNodeContentChange}
+                                    onComposerToggle={() => setDialogNodeId((current) => (current === contentNode.id ? null : contentNode.id))}
                                    onGenerate={(nodeId) => {
                                        const target = nodesRef.current.find((item) => item.id === nodeId);
-                                        void handleGenerateNode(nodeId, target?.metadata?.generationMode || "image", target?.metadata?.prompt || "");
+                                        void handleGenerateNode(nodeId, target?.metadata?.generationMode || "image", target?.metadata?.composerContent ?? target?.metadata?.prompt ?? "");
                                    }}
                                />
                            )}
@@ -2286,6 +2437,7 @@ function InfiniteCanvasPage() {
                            onSetBatchPrimary={setBatchPrimary}
                            onRetry={(node) => void handleRetryNode(node)}
                            onGenerateImage={generateImageFromTextNode}
+                            onViewImage={(node) => setPreviewNodeId(node.id)}
                            onContextMenu={(event, id) => {
                                event.preventDefault();
                                event.stopPropagation();
@@ -2324,11 +2476,14 @@ function InfiniteCanvasPage() {
                    onUpload={(node) => handleUploadRequest(node.id)}
                    onDownload={downloadNodeImage}
                    onSaveAsset={(node) => void saveNodeAsset(node)}
+                    onMaskEdit={(node) => setMaskEditNodeId(node.id)}
                    onCrop={(node) => setCropNodeId(node.id)}
+                    onSplit={(node) => setSplitNodeId(node.id)}
                    onUpscale={(node) => setUpscaleNodeId(node.id)}
                    onSuperResolve={(node) => setSuperResolveNodeId(node.id)}
                    onAngle={(node) => setAngleNodeId(node.id)}
                    onViewImage={(node) => setPreviewNodeId(node.id)}
+                    onReversePrompt={createImageReversePromptNodes}
                    onRetry={(node) => void handleRetryNode(node)}
                    onToggleFreeResize={(node) => toggleNodeFreeResize(node.id)}
                    onDelete={(node) => deleteNodes(new Set([node.id]))}
@@ -2393,6 +2548,10 @@ function InfiniteCanvasPage() {

                {cropNode?.metadata?.content ? <CanvasNodeCropDialog dataUrl={cropNode.metadata.content} open={Boolean(cropNode)} onClose={() => setCropNodeId(null)} onConfirm={(crop) => void cropImageNode(cropNode!, crop)} /> : null}

+                {maskEditNode?.metadata?.content ? <CanvasNodeMaskEditDialog dataUrl={maskEditNode.metadata.content} open={Boolean(maskEditNode)} onClose={() => setMaskEditNodeId(null)} onConfirm={(payload) => void maskEditImageNode(maskEditNode!, payload)} /> : null}
+
+                {splitNode?.metadata?.content ? <CanvasNodeSplitDialog dataUrl={splitNode.metadata.content} open={Boolean(splitNode)} onClose={() => setSplitNodeId(null)} onConfirm={(params) => void splitImageNode(splitNode!, params)} /> : null}
+
                {upscaleNode?.metadata?.content ? <CanvasNodeUpscaleDialog dataUrl={upscaleNode.metadata.content} open={Boolean(upscaleNode)} onClose={() => setUpscaleNodeId(null)} onConfirm={(params) => void upscaleImageNode(upscaleNode!, params)} /> : null}

                <Modal title="AI 超分" open={Boolean(superResolveNode?.metadata?.content)} centered footer={null} onCancel={() => setSuperResolveNodeId(null)}>
@@ -0,0 +1,366 @@
+"use client";
+
+import { useEffect, useMemo, useRef, useState } from "react";
+import type { CSSProperties, KeyboardEvent, MouseEvent, PointerEvent } from "react";
+import { Button, Image } from "antd";
+import { FileText, Image as ImageIcon, Music2, Video, X } from "lucide-react";
+
+import { canvasThemes } from "@/lib/canvas-theme";
+import { useThemeStore } from "@/stores/use-theme-store";
+import type { NodeGenerationInput } from "./canvas-node-generation";
+
+type CanvasConfigComposerProps = {
+    value: string;
+    inputs: NodeGenerationInput[];
+    onChange: (value: string) => void;
+    onClose: () => void;
+};
+
+type Token =
+    | { type: "text"; value: string }
+    | { type: "reference"; nodeId: string };
+
+type MentionState = {
+    query: string;
+};
+
+export const CONFIG_REFERENCE_PATTERN = /@\[node:([^\]]+)\]/g;
+
+export function CanvasConfigComposer({ value, inputs, onChange, onClose }: CanvasConfigComposerProps) {
+    const theme = canvasThemes[useThemeStore((state) => state.theme)];
+    const editorRef = useRef<HTMLDivElement>(null);
+    const composingRef = useRef(false);
+    const [mention, setMention] = useState<MentionState | null>(null);
+    const [activeIndex, setActiveIndex] = useState(0);
+    const [imagePreview, setImagePreview] = useState<string | null>(null);
+    const tokens = useMemo(() => parseComposerTokens(value), [value]);
+    const referenceById = useMemo(() => new Map(inputs.map((input) => [input.nodeId, input])), [inputs]);
+    const candidates = useMemo(() => {
+        if (!mention) return [];
+        const query = (mention.query || "").trim().toLowerCase();
+        if (!query) return inputs;
+        return inputs.filter((input) => `${resourceLabel(input, inputs)} ${input.title} ${input.text || ""}`.toLowerCase().includes(query));
+    }, [inputs, mention]);
+
+    useEffect(() => {
+        if (document.activeElement === editorRef.current) return;
+        const editor = editorRef.current;
+        if (!editor) return;
+        editor.textContent = "";
+        tokens.forEach((token) => {
+            if (token.type === "text") {
+                editor.append(document.createTextNode(token.value));
+                return;
+            }
+            const input = referenceById.get(token.nodeId);
+            if (input) editor.append(createReferenceChip(input, inputs, theme, setImagePreview));
+        });
+    }, [inputs, referenceById, theme, tokens]);
+
+    const syncFromEditor = () => {
+        const editor = editorRef.current;
+        if (!editor) return;
+        const next = serializeEditor(editor);
+        onChange(next);
+        syncMention();
+    };
+
+    const syncMention = () => {
+        const text = textBeforeCaret();
+        const match = /@([^\s@]*)$/.exec(text);
+        if (!match || !inputs.length) {
+            closeMention();
+            return;
+        }
+        setMention({ query: match[1] || "" });
+        setActiveIndex(0);
+    };
+
+    const closeMention = () => {
+        setMention(null);
+        setActiveIndex(0);
+    };
+
+    const insertReference = (input: NodeGenerationInput) => {
+        const editor = editorRef.current;
+        if (!editor) return;
+        removeActiveMention();
+        const chip = createReferenceChip(input, inputs, theme, setImagePreview);
+        const space = document.createTextNode(" ");
+        const selection = window.getSelection();
+        const range = selection?.rangeCount ? selection.getRangeAt(0) : null;
+        if (range) {
+            range.insertNode(space);
+            range.insertNode(chip);
+            range.setStartAfter(space);
+            range.collapse(true);
+            selection?.removeAllRanges();
+            selection?.addRange(range);
+        } else {
+            editor.append(chip, space);
+            placeCaretAtEnd(editor);
+        }
+        closeMention();
+        onChange(serializeEditor(editor));
+    };
+
+    const stopCanvasInteraction = (event: PointerEvent | MouseEvent) => event.stopPropagation();
+
+    return (
+        <div
+            data-canvas-no-zoom
+            className="rounded-2xl border p-3 shadow-2xl backdrop-blur"
+            style={{ background: theme.toolbar.panel, borderColor: theme.toolbar.border, color: theme.node.text }}
+            onMouseDown={stopCanvasInteraction}
+            onPointerDown={stopCanvasInteraction}
+            onWheel={(event) => event.stopPropagation()}
+        >
+            <div className="mb-2 flex items-center justify-between gap-2">
+                <div className="flex min-w-0 items-baseline gap-2">
+                    <div className="shrink-0 text-xs font-semibold">组装提示词</div>
+                    <div className="truncate text-[11px] opacity-55">@ 引用已连接素材，发送前按当前连接重新编号</div>
+                </div>
+                <Button size="small" type="text" className="!h-7 !w-7 !min-w-7 !p-0" icon={<X className="size-3.5" />} onClick={onClose} />
+            </div>
+            <div className="relative rounded-xl border" style={{ background: theme.node.fill, borderColor: theme.node.stroke }}>
+                {!value.trim() ? <div className="pointer-events-none absolute left-3 top-2 text-sm leading-7" style={{ color: theme.node.placeholder }}>输入提示词，按 @ 引用连接的图片或文本</div> : null}
+                <div
+                    ref={editorRef}
+                    contentEditable
+                    suppressContentEditableWarning
+                    className="thin-scrollbar min-h-28 w-full overflow-y-auto whitespace-pre-wrap break-words px-3 py-2 text-sm leading-7 outline-none"
+                    style={{ color: theme.node.text }}
+                    onInput={() => {
+                        if (!composingRef.current) syncFromEditor();
+                    }}
+                    onCompositionStart={() => {
+                        composingRef.current = true;
+                    }}
+                    onCompositionEnd={() => {
+                        composingRef.current = false;
+                        syncFromEditor();
+                    }}
+                    onKeyDown={(event: KeyboardEvent<HTMLDivElement>) => {
+                        event.stopPropagation();
+                        if (mention && candidates.length) {
+                            if (event.key === "ArrowDown") {
+                                event.preventDefault();
+                                setActiveIndex((index) => (index + 1) % candidates.length);
+                                return;
+                            }
+                            if (event.key === "ArrowUp") {
+                                event.preventDefault();
+                                setActiveIndex((index) => (index - 1 + candidates.length) % candidates.length);
+                                return;
+                            }
+                            if (event.key === "Enter") {
+                                event.preventDefault();
+                                insertReference(candidates[Math.min(activeIndex, candidates.length - 1)]);
+                                return;
+                            }
+                            if (event.key === "Escape") {
+                                event.preventDefault();
+                                closeMention();
+                                return;
+                            }
+                        }
+                        if ((event.key === "Backspace" || event.key === "Delete") && deleteAdjacentReference(event.key)) {
+                            event.preventDefault();
+                            requestAnimationFrame(syncFromEditor);
+                            return;
+                        }
+                        requestAnimationFrame(syncMention);
+                    }}
+                    onBlur={() => window.setTimeout(closeMention, 120)}
+                />
+                {mention && candidates.length ? <MentionMenu inputs={candidates} allInputs={inputs} activeIndex={Math.min(activeIndex, candidates.length - 1)} theme={theme} onSelect={insertReference} /> : null}
+            </div>
+            {imagePreview ? <Image src={imagePreview} alt="引用图片预览" style={{ display: "none" }} preview={{ visible: true, src: imagePreview, onVisibleChange: (visible) => !visible && setImagePreview(null) }} /> : null}
+        </div>
+    );
+
+}
+
+function MentionMenu({ inputs, allInputs, activeIndex, theme, onSelect }: { inputs: NodeGenerationInput[]; allInputs: NodeGenerationInput[]; activeIndex: number; theme: (typeof canvasThemes)[keyof typeof canvasThemes]; onSelect: (input: NodeGenerationInput) => void }) {
+    const selectedRef = useRef(false);
+    const selectInput = (input: NodeGenerationInput) => {
+        if (selectedRef.current) return;
+        selectedRef.current = true;
+        onSelect(input);
+    };
+
+    return (
+        <div className="absolute left-2 top-[calc(100%+6px)] z-[90] max-h-56 w-64 overflow-y-auto rounded-xl border p-1 shadow-2xl" style={{ background: theme.toolbar.panel, borderColor: theme.toolbar.border }}>
+            {inputs.map((input, index) => (
+                <button
+                    key={input.nodeId}
+                    type="button"
+                    className="flex w-full min-w-0 items-center gap-2 rounded-lg px-2 py-1.5 text-left text-xs transition"
+                    style={{ background: index === activeIndex ? theme.toolbar.activeBg : "transparent", color: index === activeIndex ? theme.toolbar.activeText : theme.node.text }}
+                    onMouseDown={(event) => {
+                        event.preventDefault();
+                        event.stopPropagation();
+                        selectInput(input);
+                    }}
+                >
+                    <ResourcePreview input={input} />
+                    <span className="min-w-0 flex-1">
+                        <span className="block font-medium">{resourceLabel(input, allInputs)}</span>
+                        <span className="block truncate opacity-65">{input.text || input.title}</span>
+                    </span>
+                </button>
+            ))}
+        </div>
+    );
+}
+
+function ResourcePreview({ input }: { input: NodeGenerationInput }) {
+    if (input.type === "image" && input.image) return <img src={input.image.dataUrl} alt="" className="size-9 rounded-md object-cover" />;
+    if (input.type === "video" && input.video) return <video src={input.video.url} className="size-9 rounded-md bg-black object-cover" muted preload="metadata" />;
+    const Icon = input.type === "audio" ? Music2 : input.type === "video" ? Video : input.type === "image" ? ImageIcon : FileText;
+    return (
+        <span className="grid size-9 shrink-0 place-items-center rounded-md bg-black/10">
+            <Icon className="size-4" />
+        </span>
+    );
+}
+
+function createReferenceChip(input: NodeGenerationInput, inputs: NodeGenerationInput[], theme: (typeof canvasThemes)[keyof typeof canvasThemes], onImagePreview: (url: string) => void) {
+    const wrapper = document.createElement("span");
+    wrapper.contentEditable = "false";
+    wrapper.dataset.referenceNodeId = input.nodeId;
+    wrapper.className = "mx-px inline-flex h-7 max-w-40 items-center justify-center overflow-hidden rounded-md border px-1 text-xs leading-none align-middle";
+    Object.assign(wrapper.style, chipStyle(theme));
+    if (input.type === "image" && input.image) {
+        const image = document.createElement("img");
+        image.src = input.image.dataUrl;
+        image.alt = input.title;
+        image.className = "size-6 rounded object-cover";
+        wrapper.className = "mx-px inline-flex size-6 items-center justify-center overflow-hidden rounded align-middle";
+        wrapper.appendChild(image);
+        wrapper.addEventListener("click", (event) => {
+            event.preventDefault();
+            event.stopPropagation();
+            onImagePreview(input.image?.dataUrl || "");
+        });
+    } else {
+        wrapper.title = input.text || input.title;
+        const text = document.createElement("span");
+        text.className = "block truncate";
+        text.textContent = input.type === "text" ? input.text || input.title : input.title;
+        wrapper.appendChild(text);
+    }
+    return wrapper;
+}
+
+function serializeEditor(editor: HTMLElement) {
+    return serializeNodes(editor.childNodes).replace(/\uFEFF/g, "");
+}
+
+function serializeNodes(nodes: NodeListOf<ChildNode>) {
+    let result = "";
+    nodes.forEach((node) => {
+        if (node.nodeType === Node.TEXT_NODE) result += node.textContent || "";
+        if (!(node instanceof HTMLElement)) return;
+        const nodeId = node.dataset.referenceNodeId;
+        if (nodeId) result += `@[node:${nodeId}]`;
+        else if (node.tagName === "BR") result += "\n";
+        else result += serializeNodes(node.childNodes);
+    });
+    return result;
+}
+
+function removeActiveMention() {
+    const selection = window.getSelection();
+    if (!selection?.rangeCount) return;
+    const range = selection.getRangeAt(0);
+    const text = textBeforeCaret();
+    const match = /@([^\s@]*)$/.exec(text);
+    if (!match) return;
+    range.setStart(range.startContainer, Math.max(0, range.startOffset - (match[1] || "").length - 1));
+    range.deleteContents();
+}
+
+function deleteAdjacentReference(key: string) {
+    const selection = window.getSelection();
+    if (!selection?.rangeCount || !selection.isCollapsed) return false;
+    const range = selection.getRangeAt(0);
+    const target = adjacentReferenceNode(range, key);
+    if (!target) return false;
+    const nextCaretNode = document.createTextNode("");
+    target.replaceWith(nextCaretNode);
+    range.setStart(nextCaretNode, 0);
+    range.collapse(true);
+    selection.removeAllRanges();
+    selection.addRange(range);
+    return true;
+}
+
+function adjacentReferenceNode(range: Range, key: string) {
+    const container = range.startContainer;
+    const offset = range.startOffset;
+    const previous = key === "Backspace";
+    if (container.nodeType === Node.TEXT_NODE) {
+        const text = container.textContent || "";
+        if ((previous && offset > 0) || (!previous && offset < text.length)) return null;
+        return findReferenceSibling(container, previous);
+    }
+    const children = Array.from(container.childNodes);
+    return findReferenceSibling(children[previous ? offset - 1 : offset] || container, previous, true);
+}
+
+function findReferenceSibling(node: Node, previous: boolean, includeSelf = false): HTMLElement | null {
+    let current: Node | null = includeSelf ? node : previous ? node.previousSibling : node.nextSibling;
+    while (current && current.nodeType === Node.TEXT_NODE && !(current.textContent || "").trim()) current = previous ? current.previousSibling : current.nextSibling;
+    return current instanceof HTMLElement && current.dataset.referenceNodeId ? current : null;
+}
+
+function textBeforeCaret() {
+    const selection = window.getSelection();
+    if (!selection?.rangeCount) return "";
+    const range = selection.getRangeAt(0).cloneRange();
+    const editor = closestEditor(range.startContainer);
+    if (!editor) return "";
+    range.setStart(editor, 0);
+    return range.toString();
+}
+
+function closestEditor(node: Node) {
+    const element = node instanceof Element ? node : node.parentElement;
+    return element?.closest("[contenteditable='true']") || null;
+}
+
+function placeCaretAtEnd(element: HTMLElement) {
+    const range = document.createRange();
+    range.selectNodeContents(element);
+    range.collapse(false);
+    const selection = window.getSelection();
+    selection?.removeAllRanges();
+    selection?.addRange(range);
+}
+
+function parseComposerTokens(value: string): Token[] {
+    const tokens: Token[] = [];
+    let lastIndex = 0;
+    for (const match of value.matchAll(CONFIG_REFERENCE_PATTERN)) {
+        if (match.index === undefined) continue;
+        if (match.index > lastIndex) tokens.push({ type: "text", value: value.slice(lastIndex, match.index) });
+        tokens.push({ type: "reference", nodeId: match[1] });
+        lastIndex = match.index + match[0].length;
+    }
+    if (lastIndex < value.length) tokens.push({ type: "text", value: value.slice(lastIndex) });
+    return tokens;
+}
+
+function resourceLabel(input: NodeGenerationInput, inputs: NodeGenerationInput[]) {
+    const sameTypeInputs = inputs.filter((item) => item.type === input.type);
+    const index = Math.max(0, sameTypeInputs.findIndex((item) => item.nodeId === input.nodeId));
+    if (input.type === "image") return `图片${index + 1}`;
+    if (input.type === "video") return `视频${index + 1}`;
+    if (input.type === "audio") return `音频${index + 1}`;
+    return `文本${index + 1}`;
+}
+
+function chipStyle(theme: (typeof canvasThemes)[keyof typeof canvasThemes]): CSSProperties {
+    return { background: theme.toolbar.panel, borderColor: theme.node.stroke, color: theme.node.text };
+}
@@ -1,41 +1,29 @@
 "use client";

 import type { CSSProperties } from "react";
-import { useState } from "react";
-import { ArrowDown, ArrowLeft, ArrowRight, ArrowUp, Edit3, Eye, Image as ImageIcon, LoaderCircle, MessageSquare, Music2, Play, Video } from "lucide-react";
-import { App, Button, Empty, Modal, Segmented } from "antd";
+import { Image as ImageIcon, LoaderCircle, MessageSquare, Music2, Play, Settings2, Video } from "lucide-react";
+import { Button, Segmented } from "antd";

 import { ModelPicker } from "@/components/model-picker";
 import { defaultConfig, useConfigStore, useEffectiveConfig, type AiConfig } from "@/stores/use-config-store";
 import { CreditSymbol, requestCreditCost } from "@/constant/credits";
 import { canvasThemes } from "@/lib/canvas-theme";
-import { imageReferenceLabel } from "@/lib/image-reference-prompt";
-import { seedanceReferenceLabel } from "@/lib/seedance-video";
 import { useThemeStore } from "@/stores/use-theme-store";
 import { CanvasImageSettingsPopover } from "./canvas-image-settings-popover";
 import { CanvasAudioSettingsPopover, type CanvasAudioSettingKey } from "./canvas-audio-settings-popover";
-import { CanvasResourceMentionTextarea } from "./canvas-resource-mention-textarea";
 import { CanvasVideoSettingsPopover } from "./canvas-video-settings-popover";
-import type { NodeGenerationInput } from "./canvas-node-generation";
 import type { CanvasGenerationMode, CanvasNodeData, CanvasNodeMetadata } from "../types";
-import type { CanvasResourceReference } from "../utils/canvas-resource-references";

 type CanvasConfigNodePanelProps = {
    node: CanvasNodeData;
    isRunning: boolean;
    inputSummary: { textCount: number; imageCount: number; videoCount: number; audioCount: number };
-    inputs: NodeGenerationInput[];
-    mentionReferences?: CanvasResourceReference[];
    onConfigChange: (nodeId: string, patch: Partial<CanvasNodeMetadata>) => void;
-    onTextInputChange: (nodeId: string, content: string) => void;
    onGenerate: (nodeId: string) => void;
+    onComposerToggle: () => void;
 };

-export function CanvasConfigNodePanel({ node, isRunning, inputSummary, inputs, mentionReferences = [], onConfigChange, onTextInputChange, onGenerate }: CanvasConfigNodePanelProps) {
-    const { message } = App.useApp();
-    const [previewOpen, setPreviewOpen] = useState(false);
-    const [editingTextId, setEditingTextId] = useState<string | null>(null);
-    const [editingText, setEditingText] = useState("");
+export function CanvasConfigNodePanel({ node, isRunning, inputSummary, onConfigChange, onGenerate, onComposerToggle }: CanvasConfigNodePanelProps) {
    const globalConfig = useEffectiveConfig();
    const modelCosts = useConfigStore((state) => state.publicSettings?.modelChannel.modelCosts);
    const openConfigDialog = useConfigStore((state) => state.openConfigDialog);
@@ -45,37 +33,9 @@ export function CanvasConfigNodePanel({ node, isRunning, inputSummary, inputs, m
    const count = Math.max(1, Math.min(15, Math.floor(Math.abs(Number(config.count)) || 1)));
    const credits = requestCreditCost({ channelMode: config.channelMode, modelCosts, model: config.model, count: mode === "image" ? count : 1 });
    const chipStyle = { background: theme.node.fill, borderColor: theme.node.stroke, color: theme.node.text };
-    const textInputs = inputs.filter((input) => input.type === "text");
-    const imageInputs = inputs.filter((input) => input.type === "image");
-    const videoInputs = inputs.filter((input) => input.type === "video");
-    const audioInputs = inputs.filter((input) => input.type === "audio");
-    const editingMentionReferences = editingTextId ? mentionReferences.filter((reference) => reference.nodeId !== editingTextId) : mentionReferences;
    const hasAnyInput = Boolean(inputSummary.textCount || inputSummary.imageCount || inputSummary.videoCount || inputSummary.audioCount);
-    const canGenerate = mode === "audio" ? inputSummary.textCount > 0 : hasAnyInput;
-
-    const moveInput = (input: NodeGenerationInput, offset: number) => {
-        const sameTypeInputs = inputs.filter((item) => item.type === input.type);
-        const sameTypeIndex = sameTypeInputs.findIndex((item) => item.nodeId === input.nodeId);
-        const targetInput = sameTypeInputs[sameTypeIndex + offset];
-        if (!targetInput) return;
-        const index = inputs.findIndex((item) => item.nodeId === input.nodeId);
-        const targetIndex = inputs.findIndex((item) => item.nodeId === targetInput.nodeId);
-        const next = [...inputs];
-        [next[index], next[targetIndex]] = [next[targetIndex], next[index]];
-        onConfigChange(node.id, { inputOrder: next.map((input) => input.nodeId) });
-        message.success("已调整输入顺序");
-    };
-    const startTextEdit = (input: NodeGenerationInput) => {
-        setEditingTextId(input.nodeId);
-        setEditingText(input.text || "");
-    };
-    const saveTextEdit = () => {
-        if (!editingTextId) return;
-        onTextInputChange(editingTextId, editingText);
-        setEditingText("");
-        setEditingTextId(null);
-        message.success("已保存文本提示词");
-    };
+    const hasComposerContent = Boolean((node.metadata?.composerContent ?? node.metadata?.prompt ?? "").trim());
+    const canGenerate = hasComposerContent || (mode === "audio" ? inputSummary.textCount > 0 : hasAnyInput);

    return (
        <div className="flex h-full w-full cursor-move flex-col px-3 pb-3 pt-7 text-sm" style={{ color: theme.node.text }} onWheel={(event) => event.stopPropagation()}>
@@ -134,9 +94,9 @@ export function CanvasConfigNodePanel({ node, isRunning, inputSummary, inputs, m
                <InputChip label="参考图" value={`${inputSummary.imageCount} 张`} style={chipStyle} />
                <InputChip label="参考视频" value={`${inputSummary.videoCount} 个`} style={chipStyle} />
                <InputChip label="参考音频" value={`${inputSummary.audioCount} 个`} style={chipStyle} />
-                <button type="button" className="inline-flex h-7 cursor-pointer items-center gap-1 rounded-md border px-2 text-[11px]" style={chipStyle} onMouseDown={(event) => event.stopPropagation()} onClick={() => setPreviewOpen(true)}>
-                    <Eye className="size-3.5" />
-                    预览
+                <button type="button" className="inline-flex h-7 cursor-pointer items-center gap-1 rounded-md border px-2 text-[11px]" style={chipStyle} onMouseDown={(event) => event.stopPropagation()} onClick={onComposerToggle}>
+                    <Settings2 className="size-3.5" />
+                    组装提示词
                </button>
            </div>

@@ -167,238 +127,6 @@ export function CanvasConfigNodePanel({ node, isRunning, inputSummary, inputs, m
                    <span>开始生成</span>
                </span>
            </Button>
-            <Modal
-                title="输入预览"
-                open={previewOpen}
-                onCancel={() => setPreviewOpen(false)}
-                footer={null}
-                centered
-                width={860}
-                mask={{ closable: true }}
-                keyboard
-                destroyOnHidden
-                modalRender={(modal) => (
-                    <div onClick={(event) => event.stopPropagation()} onMouseDown={(event) => event.stopPropagation()} onPointerDown={(event) => event.stopPropagation()}>
-                        {modal}
-                    </div>
-                )}
-            >
-                <div onMouseDown={(event) => event.stopPropagation()} onPointerDown={(event) => event.stopPropagation()} onWheelCapture={(event) => event.stopPropagation()}>
-                    {inputs.length ? (
-                        <div className="flex h-[min(66vh,580px)] flex-col gap-3 overflow-hidden">
-                            <div className="shrink-0">
-                                <PreviewSection title="图片提示词" count={imageInputs.length} empty="暂无图片提示词">
-                                    <div className="thin-scrollbar flex gap-1.5 overflow-x-auto pb-1">
-                                        {imageInputs.map((input, index) => (
-                                            <ImageSortCard key={input.nodeId} input={input} imageIndex={index} imageTotal={imageInputs.length} inputs={inputs} theme={theme} onMove={moveInput} />
-                                        ))}
-                                    </div>
-                                </PreviewSection>
-                            </div>
-                            <div className="shrink-0">
-                                <PreviewSection title="参考视频" count={videoInputs.length} empty="暂无参考视频">
-                                    <div className="thin-scrollbar flex gap-1.5 overflow-x-auto pb-1">
-                                        {videoInputs.map((input, index) => (
-                                            <VideoSortCard key={input.nodeId} input={input} videoIndex={index} videoTotal={videoInputs.length} theme={theme} onMove={moveInput} />
-                                        ))}
-                                    </div>
-                                </PreviewSection>
-                            </div>
-                            <div className="shrink-0">
-                                <PreviewSection title="参考音频" count={audioInputs.length} empty="暂无参考音频">
-                                    <div className="thin-scrollbar flex gap-1.5 overflow-x-auto pb-1">
-                                        {audioInputs.map((input, index) => (
-                                            <AudioSortCard key={input.nodeId} input={input} audioIndex={index} audioTotal={audioInputs.length} theme={theme} onMove={moveInput} />
-                                        ))}
-                                    </div>
-                                </PreviewSection>
-                            </div>
-                            <div className="grid min-h-0 flex-1 grid-cols-2 gap-3 overflow-hidden">
-                                <div className="thin-scrollbar min-h-0 overflow-y-auto pr-1.5">
-                                    <PreviewSection title="文本提示词" count={textInputs.length} empty="暂无文本提示词">
-                                        <div className="space-y-1.5">
-                                            {textInputs.map((input, index) => (
-                                                <TextSortCard key={input.nodeId} input={input} textIndex={index} textTotal={textInputs.length} inputs={inputs} theme={theme} onMove={moveInput} onEdit={startTextEdit} />
-                                            ))}
-                                        </div>
-                                    </PreviewSection>
-                                </div>
-                                <div className="flex min-h-0 flex-col rounded-xl border p-2.5" style={{ background: theme.node.fill, borderColor: theme.node.stroke }}>
-                                    {editingTextId ? (
-                                        <>
-                                            <div className="mb-2 flex items-center justify-between">
-                                                <div className="text-sm font-semibold">编辑文本提示词</div>
-                                                <Button size="small" type="text" onClick={() => setEditingTextId(null)}>
-                                                    收起
-                                                </Button>
-                                            </div>
-                                            <CanvasResourceMentionTextarea containerClassName="min-h-0 flex-1" className="thin-scrollbar h-full w-full resize-none rounded-md border px-2 py-1 text-xs leading-5 outline-none" style={{ background: theme.node.panel, borderColor: theme.node.stroke, color: theme.node.text }} value={editingText} references={editingMentionReferences} onChange={setEditingText} />
-                                            <div className="mt-2 flex justify-end gap-2">
-                                                <Button size="small" onClick={() => setEditingTextId(null)}>
-                                                    取消
-                                                </Button>
-                                                <Button size="small" type="primary" onClick={saveTextEdit}>
-                                                    保存
-                                                </Button>
-                                            </div>
-                                        </>
-                                    ) : (
-                                        <div className="flex h-full flex-col justify-center rounded-xl border border-dashed px-4 text-center text-xs leading-5 opacity-45" style={{ borderColor: theme.node.stroke }}>
-                                            <Edit3 className="mx-auto mb-2 size-5" />
-                                            选择一条文本后在这里编辑
-                                        </div>
-                                    )}
-                                </div>
-                            </div>
-                        </div>
-                    ) : (
-                        <Empty image={Empty.PRESENTED_IMAGE_SIMPLE} description="暂无提示词或参考图" className="py-8" />
-                    )}
-                </div>
-            </Modal>
-        </div>
-    );
-}
-
-function PreviewSection({ title, count, empty, children }: { title: string; count: number; empty: string; children: React.ReactNode }) {
-    return (
-        <section>
-            <div className="sticky top-0 z-10 mb-1 flex items-center justify-between px-0.5 py-0.5 backdrop-blur-sm">
-                <div className="text-xs font-semibold">{title}</div>
-                <div className="text-[11px] opacity-50">{count} 个</div>
-            </div>
-            {count ? children : <div className="rounded-xl border border-dashed px-3 py-5 text-center text-xs opacity-45">{empty}</div>}
-        </section>
-    );
-}
-
-function TextSortCard({
-    input,
-    textIndex,
-    textTotal,
-    inputs,
-    theme,
-    onMove,
-    onEdit,
-}: {
-    input: NodeGenerationInput;
-    textIndex: number;
-    textTotal: number;
-    inputs: NodeGenerationInput[];
-    theme: (typeof canvasThemes)[keyof typeof canvasThemes];
-    onMove: (input: NodeGenerationInput, offset: number) => void;
-    onEdit: (input: NodeGenerationInput) => void;
-}) {
-    return (
-        <div className="grid grid-cols-[minmax(0,1fr)_72px] items-center gap-1.5 rounded-md border px-2 py-1" style={{ background: `${theme.node.fill}99`, borderColor: theme.node.stroke }}>
-            <div className="min-w-0">
-                <div className="truncate text-[10px] font-medium opacity-50">文本 {textIndex + 1}</div>
-                <div className="line-clamp-1 whitespace-pre-wrap break-words text-[11px] leading-4 opacity-80">{input.text}</div>
-            </div>
-            <div className="flex justify-end gap-1">
-                <Button size="small" className="!h-6 !w-6 !min-w-6 !p-0" icon={<Edit3 className="size-3" />} onClick={() => onEdit(input)} />
-                <VerticalOrderButtons index={textIndex} total={textTotal} onMove={(offset) => onMove(input, offset)} />
-            </div>
-        </div>
-    );
-}
-
-function ImageSortCard({
-    input,
-    imageIndex,
-    imageTotal,
-    inputs,
-    theme,
-    onMove,
-}: {
-    input: NodeGenerationInput;
-    imageIndex: number;
-    imageTotal: number;
-    inputs: NodeGenerationInput[];
-    theme: (typeof canvasThemes)[keyof typeof canvasThemes];
-    onMove: (input: NodeGenerationInput, offset: number) => void;
-}) {
-    if (!input.image) return null;
-    return (
-        <div className="w-24 shrink-0 overflow-hidden rounded-lg border" style={{ background: theme.node.fill, borderColor: theme.node.stroke }}>
-            <div className="relative">
-                <img src={input.image.dataUrl} alt={input.title} className="aspect-square w-full object-cover" />
-                <span className="absolute left-1 top-1 rounded bg-black/50 px-1 py-0.5 text-[9px] font-medium text-white">{imageReferenceLabel(imageIndex)}</span>
-                <HorizontalOrderButtons index={imageIndex} total={imageTotal} onMove={(offset) => onMove(input, offset)} />
-            </div>
-        </div>
-    );
-}
-
-function VideoSortCard({
-    input,
-    videoIndex,
-    videoTotal,
-    theme,
-    onMove,
-}: {
-    input: NodeGenerationInput;
-    videoIndex: number;
-    videoTotal: number;
-    theme: (typeof canvasThemes)[keyof typeof canvasThemes];
-    onMove: (input: NodeGenerationInput, offset: number) => void;
-}) {
-    if (!input.video) return null;
-    return (
-        <div className="w-32 shrink-0 overflow-hidden rounded-lg border" style={{ background: theme.node.fill, borderColor: theme.node.stroke }}>
-            <div className="relative">
-                <video src={input.video.url} className="aspect-video w-full bg-black object-cover" muted preload="metadata" />
-                <span className="absolute left-1 top-1 rounded bg-black/50 px-1 py-0.5 text-[9px] font-medium text-white">{seedanceReferenceLabel("video", videoIndex)}</span>
-                <HorizontalOrderButtons index={videoIndex} total={videoTotal} onMove={(offset) => onMove(input, offset)} />
-            </div>
-        </div>
-    );
-}
-
-function AudioSortCard({
-    input,
-    audioIndex,
-    audioTotal,
-    theme,
-    onMove,
-}: {
-    input: NodeGenerationInput;
-    audioIndex: number;
-    audioTotal: number;
-    theme: (typeof canvasThemes)[keyof typeof canvasThemes];
-    onMove: (input: NodeGenerationInput, offset: number) => void;
-}) {
-    if (!input.audio) return null;
-    return (
-        <div className="w-48 shrink-0 rounded-lg border p-2" style={{ background: theme.node.fill, borderColor: theme.node.stroke }}>
-            <div className="mb-1.5 flex min-w-0 items-center gap-1.5 text-[11px] opacity-70">
-                <Music2 className="size-3.5 shrink-0" />
-                <span className="truncate">{input.title}</span>
-            </div>
-            <audio src={input.audio.url} controls className="h-8 w-full" preload="metadata" />
-            <div className="mt-1 flex justify-between">
-                <Button size="small" className="!h-6 !w-6 !min-w-6 !rounded-full !p-0" icon={<ArrowLeft className="size-3" />} disabled={audioIndex <= 0} onClick={() => onMove(input, -1)} />
-                <span className="text-[10px] opacity-45">{seedanceReferenceLabel("audio", audioIndex)}</span>
-                <Button size="small" className="!h-6 !w-6 !min-w-6 !rounded-full !p-0" icon={<ArrowRight className="size-3" />} disabled={audioIndex >= audioTotal - 1} onClick={() => onMove(input, 1)} />
-            </div>
-        </div>
-    );
-}
-
-function VerticalOrderButtons({ index, total, onMove }: { index: number; total: number; onMove: (offset: number) => void }) {
-    return (
-        <>
-            <Button size="small" className="!h-6 !w-6 !min-w-6 !p-0" icon={<ArrowUp className="size-3" />} disabled={index <= 0} onClick={() => onMove(-1)} />
-            <Button size="small" className="!h-6 !w-6 !min-w-6 !p-0" icon={<ArrowDown className="size-3" />} disabled={index >= total - 1} onClick={() => onMove(1)} />
-        </>
-    );
-}
-
-function HorizontalOrderButtons({ index, total, onMove }: { index: number; total: number; onMove: (offset: number) => void }) {
-    return (
-        <div className="absolute inset-x-1 bottom-1 flex justify-between">
-            <Button size="small" className="!h-6 !w-6 !min-w-6 !rounded-full !bg-white/85 !p-0 !shadow-sm" icon={<ArrowLeft className="size-3" />} disabled={index <= 0} onClick={() => onMove(-1)} />
-            <Button size="small" className="!h-6 !w-6 !min-w-6 !rounded-full !bg-white/85 !p-0 !shadow-sm" icon={<ArrowRight className="size-3" />} disabled={index >= total - 1} onClick={() => onMove(1)} />
        </div>
    );
 }
@@ -1,22 +1,25 @@
 "use client";

 import type { ReactNode } from "react";
-import { Camera, Copy, Lock, LockOpen, Maximize2, Scissors, Sparkles, Upload, ZoomIn } from "lucide-react";
+import { Brush, Camera, Copy, FileText, Grid2x2, Lock, LockOpen, Maximize2, Scissors, Sparkles, Upload, ZoomIn } from "lucide-react";

 import type { CanvasNodeData } from "../types";

-export type ImageNodeActionToolId = "copyPrompt" | "replace" | "resize" | "crop" | "upscale" | "superResolve" | "angle" | "view";
+export type ImageNodeActionToolId = "copyPrompt" | "reversePrompt" | "replace" | "resize" | "maskEdit" | "crop" | "split" | "upscale" | "superResolve" | "angle" | "view";
 export type ImageQuickToolId = "info" | "delete" | "saveAsset" | "download" | "edit" | ImageNodeActionToolId;

 export type ImageToolHandlers = {
    onUpload: (node: CanvasNodeData) => void;
    onToggleFreeResize: (node: CanvasNodeData) => void;
+    onMaskEdit: (node: CanvasNodeData) => void;
    onCrop: (node: CanvasNodeData) => void;
+    onSplit: (node: CanvasNodeData) => void;
    onUpscale: (node: CanvasNodeData) => void;
    onSuperResolve: (node: CanvasNodeData) => void;
    onAngle: (node: CanvasNodeData) => void;
    onViewImage: (node: CanvasNodeData) => void;
    onCopyPrompt: (node: CanvasNodeData) => void;
+    onReversePrompt: (node: CanvasNodeData) => void;
 };

 export type ImageToolDefinition = {
@@ -35,7 +38,7 @@ export type ImageQuickToolsConfig = {
    showLabels: boolean;
 };

-export const IMAGE_QUICK_TOOLS_STORAGE_KEY = "canvas-image-quick-tools-v3";
+export const IMAGE_QUICK_TOOLS_STORAGE_KEY = "canvas-image-quick-tools-v6";

 const defaultBaseToolIds: ImageQuickToolId[] = ["info", "delete", "saveAsset", "download", "edit"];

@@ -49,6 +52,15 @@ export const imageToolDefinitions: ImageToolDefinition[] = [
        icon: () => <Copy className="size-4" />,
        run: (node, handlers) => handlers.onCopyPrompt(node),
    },
+    {
+        id: "reversePrompt",
+        defaultVisible: true,
+        panelLabel: "反推提示词",
+        label: "反推提示词",
+        title: "创建反推提示词的文本和配置节点",
+        icon: () => <FileText className="size-4" />,
+        run: (node, handlers) => handlers.onReversePrompt(node),
+    },
    {
        id: "replace",
        defaultVisible: true,
@@ -68,6 +80,15 @@ export const imageToolDefinitions: ImageToolDefinition[] = [
        active: (node) => Boolean(node.metadata?.freeResize),
        run: (node, handlers) => handlers.onToggleFreeResize(node),
    },
+    {
+        id: "maskEdit",
+        defaultVisible: true,
+        panelLabel: "局部编辑",
+        label: "局部编辑",
+        title: "添加蒙版遮罩后局部修改",
+        icon: () => <Brush className="size-4" />,
+        run: (node, handlers) => handlers.onMaskEdit(node),
+    },
    {
        id: "crop",
        defaultVisible: true,
@@ -77,6 +98,15 @@ export const imageToolDefinitions: ImageToolDefinition[] = [
        icon: () => <Scissors className="size-4" />,
        run: (node, handlers) => handlers.onCrop(node),
    },
+    {
+        id: "split",
+        defaultVisible: true,
+        panelLabel: "切图",
+        label: "切图",
+        title: "按行列切分图片",
+        icon: () => <Grid2x2 className="size-4" />,
+        run: (node, handlers) => handlers.onSplit(node),
+    },
    {
        id: "upscale",
        defaultVisible: true,
@@ -1,4 +1,6 @@
 import type { ChatCompletionMessage } from "@/services/api/image";
+import { imageReferenceLabel } from "@/lib/image-reference-prompt";
+import { seedanceReferenceLabel } from "@/lib/seedance-video";
 import type { ReferenceImage } from "@/types/image";
 import type { ReferenceAudio, ReferenceVideo } from "@/types/media";
 import { CanvasNodeType, type CanvasConnection, type CanvasNodeData } from "../types";
@@ -27,6 +29,11 @@ export type NodeGenerationInput = {

 export function buildNodeGenerationContext(nodeId: string, nodes: CanvasNodeData[], connections: CanvasConnection[], prompt: string): NodeGenerationContext {
    const inputs = buildNodeGenerationInputs(nodeId, nodes, connections);
+    const sourceNode = nodes.find((node) => node.id === nodeId);
+    if (sourceNode?.type === CanvasNodeType.Config && Boolean(sourceNode.metadata?.composerContent?.trim())) {
+        return buildComposerGenerationContext(inputs, prompt);
+    }
+
    const upstreamText = inputs
        .map((input) => input.text)
        .filter(Boolean)
@@ -47,6 +54,65 @@ export function buildNodeGenerationContext(nodeId: string, nodes: CanvasNodeData
    };
 }

+function buildComposerGenerationContext(inputs: NodeGenerationInput[], prompt: string): NodeGenerationContext {
+    const inputByNodeId = new Map(inputs.map((input) => [input.nodeId, input]));
+    const selectedInputs: NodeGenerationInput[] = [];
+    const labelByNodeId = new Map<string, string>();
+    const textBlocks: string[] = [];
+    const counts = { image: 0, video: 0, audio: 0, text: 0 };
+    let hasToken = false;
+    let lastIndex = 0;
+    let nextPrompt = "";
+
+    for (const match of prompt.matchAll(/@\[node:([^\]]+)\]/g)) {
+        if (match.index === undefined) continue;
+        hasToken = true;
+        nextPrompt += prompt.slice(lastIndex, match.index);
+        const input = inputByNodeId.get(match[1]);
+        if (input) {
+            let label = labelByNodeId.get(input.nodeId);
+            if (!label) {
+                label = generationLabel(input.type, counts[input.type]++);
+                labelByNodeId.set(input.nodeId, label);
+                if (input.type === "text") textBlocks.push(`【${label}】\n${input.text || ""}`);
+                else selectedInputs.push(input);
+            }
+            nextPrompt += input.type === "text" ? `【${label}】` : label;
+        }
+        lastIndex = match.index + match[0].length;
+    }
+
+    nextPrompt += prompt.slice(lastIndex);
+    if (textBlocks.length) nextPrompt = `${nextPrompt.trim()}\n\n${textBlocks.join("\n\n")}`;
+    const referenceImages = selectedInputs.map((input) => input.image).filter((image): image is ReferenceImage => Boolean(image));
+    const referenceVideos = selectedInputs.map((input) => input.video).filter((video): video is ReferenceVideo => Boolean(video));
+    const referenceAudios = selectedInputs.map((input) => input.audio).filter((audio): audio is ReferenceAudio => Boolean(audio));
+
+    if (!hasToken) {
+        return {
+            prompt,
+            referenceImages: [],
+            referenceVideos: [],
+            referenceAudios: [],
+            textCount: 0,
+            imageCount: 0,
+            videoCount: 0,
+            audioCount: 0,
+        };
+    }
+
+    return {
+        prompt: nextPrompt,
+        referenceImages,
+        referenceVideos,
+        referenceAudios,
+        textCount: counts.text,
+        imageCount: referenceImages.length,
+        videoCount: referenceVideos.length,
+        audioCount: referenceAudios.length,
+    };
+}
+
 export function buildNodeGenerationInputs(nodeId: string, nodes: CanvasNodeData[], connections: CanvasConnection[]): NodeGenerationInput[] {
    return getGenerationResourceNodes(nodeId, nodes, connections).flatMap((node): NodeGenerationInput[] => {
        const image = readReferenceImage(node);
@@ -84,6 +150,13 @@ function readNodeTextInput(node: CanvasNodeData) {
    return node.metadata?.prompt || "";
 }

+function generationLabel(type: NodeGenerationInput["type"], index: number) {
+    if (type === "image") return imageReferenceLabel(index);
+    if (type === "video") return seedanceReferenceLabel("video", index);
+    if (type === "audio") return seedanceReferenceLabel("audio", index);
+    return `文本${index + 1}`;
+}
+
 function readReferenceImage(node: CanvasNodeData): ReferenceImage | null {
    if (node.type !== CanvasNodeType.Image || !node.metadata?.content) return null;
    return {
@@ -26,11 +26,14 @@ type CanvasNodeHoverToolbarProps = {
    onUpload: (node: CanvasNodeData) => void;
    onDownload: (node: CanvasNodeData) => void;
    onSaveAsset: (node: CanvasNodeData) => void;
+    onMaskEdit: (node: CanvasNodeData) => void;
    onCrop: (node: CanvasNodeData) => void;
+    onSplit: (node: CanvasNodeData) => void;
    onUpscale: (node: CanvasNodeData) => void;
    onSuperResolve: (node: CanvasNodeData) => void;
    onAngle: (node: CanvasNodeData) => void;
    onViewImage: (node: CanvasNodeData) => void;
+    onReversePrompt: (node: CanvasNodeData) => void;
    onRetry: (node: CanvasNodeData) => void;
    onToggleFreeResize: (node: CanvasNodeData) => void;
    onDelete: (node: CanvasNodeData) => void;
@@ -60,11 +63,14 @@ export function CanvasNodeHoverToolbar({
    onUpload,
    onDownload,
    onSaveAsset,
+    onMaskEdit,
    onCrop,
+    onSplit,
    onUpscale,
    onSuperResolve,
    onAngle,
    onViewImage,
+    onReversePrompt,
    onRetry,
    onToggleFreeResize,
    onDelete,
@@ -117,7 +123,7 @@ export function CanvasNodeHoverToolbar({
        }
        copyText(prompt, "提示词已复制");
    };
-    const imageTools = buildImageToolbarTools(node, { onUpload, onToggleFreeResize, onCrop, onUpscale, onSuperResolve, onAngle, onViewImage, onCopyPrompt: copyImagePrompt });
+    const imageTools = buildImageToolbarTools(node, { onUpload, onToggleFreeResize, onMaskEdit, onCrop, onSplit, onUpscale, onSuperResolve, onAngle, onViewImage, onCopyPrompt: copyImagePrompt, onReversePrompt });

    function openImageToolSettings() {
        onKeep(node.id);
@@ -137,7 +143,7 @@ export function CanvasNodeHoverToolbar({
        ...(canOpenDialog ? [{ id: "edit", title: "编辑", label: "编辑", icon: <MessageSquare className="size-4" />, onClick: () => onToggleDialog(node) }] : []),
        ...(isText ? [{ id: "editText", title: "编辑文本", label: "编辑文字", icon: <Pencil className="size-4" />, onClick: () => onEditText(node) }] : []),
        ...(isText ? [{ id: "generateImage", title: "用文本生图", label: "生图", icon: <ImageIcon className="size-4" />, onClick: () => onGenerateImage(node) }] : []),
-        ...(isConfig ? [{ id: "config", title: "生成配置", label: "生成配置", icon: <Settings2 className="size-4" />, onClick: () => onInfo(node) }] : []),
+        ...(isConfig ? [{ id: "config", title: "生成配置", label: "生成配置", icon: <Settings2 className="size-4" />, onClick: () => onToggleDialog(node) }] : []),
        ...(isText ? [{ id: "decreaseFont", title: "减小字号", label: "缩小", icon: <Minus className="size-4" />, onClick: () => onDecreaseFont(node) }] : []),
        ...(isText ? [{ id: "increaseFont", title: "增大字号", label: "放大", icon: <Plus className="size-4" />, onClick: () => onIncreaseFont(node) }] : []),
        ...(isImage && !hasImage ? [{ id: "uploadImage", title: "上传图片", label: "上传图片", icon: <Upload className="size-4" />, onClick: () => onUpload(node) }] : []),
@@ -0,0 +1,279 @@
+"use client";
+
+import { useEffect, useRef, useState, type PointerEvent as ReactPointerEvent } from "react";
+import { Button, Input, Modal, Slider } from "antd";
+import { Brush, Eraser, RotateCcw, WandSparkles, X } from "lucide-react";
+
+import { readImageMeta } from "@/lib/image-utils";
+
+export type CanvasImageMaskEditPayload = {
+    prompt: string;
+    maskDataUrl: string;
+};
+
+type DrawMode = "paint" | "erase";
+
+const defaultBrushSize = 100;
+const maskFillColor = "rgba(37, 99, 235, .38)";
+const maskBorderColor = "rgba(255, 255, 255, .72)";
+
+export function CanvasNodeMaskEditDialog({ dataUrl, open, onClose, onConfirm }: { dataUrl: string; open: boolean; onClose: () => void; onConfirm: (payload: CanvasImageMaskEditPayload) => void }) {
+    const maskCanvasRef = useRef<HTMLCanvasElement>(null);
+    const previewCanvasRef = useRef<HTMLCanvasElement>(null);
+    const drawingRef = useRef<{ active: boolean; last: { x: number; y: number } | null }>({ active: false, last: null });
+    const [image, setImage] = useState<{ width: number; height: number } | null>(null);
+    const [prompt, setPrompt] = useState("");
+    const [brushSize, setBrushSize] = useState(defaultBrushSize);
+    const [mode, setMode] = useState<DrawMode>("paint");
+    const [error, setError] = useState("");
+
+    useEffect(() => {
+        if (!open) return;
+        setPrompt("");
+        setBrushSize(defaultBrushSize);
+        setMode("paint");
+        setError("");
+        void readImageMeta(dataUrl).then(setImage);
+    }, [dataUrl, open]);
+
+    useEffect(() => {
+        clearCanvas(maskCanvasRef.current);
+        clearCanvas(previewCanvasRef.current);
+    }, [image]);
+
+    const draw = (event: ReactPointerEvent<HTMLCanvasElement>) => {
+        const point = readCanvasPoint(event.currentTarget, event.clientX, event.clientY);
+        const maskCanvas = maskCanvasRef.current;
+        const context = maskCanvas?.getContext("2d");
+        if (!context) return;
+        context.lineCap = "round";
+        context.lineJoin = "round";
+        context.lineWidth = brushSize;
+        context.globalCompositeOperation = mode === "paint" ? "source-over" : "destination-out";
+        context.strokeStyle = "#000";
+        context.fillStyle = "#000";
+        if (!drawingRef.current.last) {
+            drawMaskStroke(context, point, point, brushSize);
+        } else {
+            drawMaskStroke(context, drawingRef.current.last, point, brushSize);
+        }
+        renderMaskPreview(maskCanvas, previewCanvasRef.current);
+        drawingRef.current.last = point;
+        if (mode === "paint") {
+            setError("");
+        }
+    };
+
+    const startDraw = (event: ReactPointerEvent<HTMLCanvasElement>) => {
+        event.preventDefault();
+        event.stopPropagation();
+        event.currentTarget.setPointerCapture(event.pointerId);
+        drawingRef.current = { active: true, last: null };
+        if (maskCanvasRef.current) renderMaskPreview(maskCanvasRef.current, previewCanvasRef.current);
+        draw(event);
+    };
+
+    const moveDraw = (event: ReactPointerEvent<HTMLCanvasElement>) => {
+        if (!drawingRef.current.active) return;
+        event.preventDefault();
+        draw(event);
+    };
+
+    const stopDraw = () => {
+        drawingRef.current = { active: false, last: null };
+        const maskCanvas = maskCanvasRef.current;
+        if (maskCanvas) renderMaskPreview(maskCanvas, previewCanvasRef.current, canvasHasPaint(maskCanvas));
+    };
+
+    const resetMask = () => {
+        clearCanvas(maskCanvasRef.current);
+        clearCanvas(previewCanvasRef.current);
+        setError("");
+    };
+
+    const submit = () => {
+        const nextPrompt = prompt.trim();
+        const canvas = maskCanvasRef.current;
+        if (!nextPrompt) return setError("请输入修改要求");
+        if (!canvas) return;
+        if (!canvasHasPaint(canvas)) return setError("请先涂抹局部区域");
+        onConfirm({ prompt: nextPrompt, maskDataUrl: buildEditMask(canvas) });
+    };
+
+    return (
+        <Modal title={null} open={open && Boolean(dataUrl)} onCancel={onClose} footer={null} width={980} centered destroyOnHidden>
+            <div className="grid gap-5 lg:grid-cols-[minmax(360px,1fr)_320px]">
+                <div className="flex min-h-[360px] items-center justify-center rounded-xl border border-black/10 bg-transparent p-0 dark:border-white/10">
+                    <div className="relative inline-block max-w-full overflow-hidden rounded-lg bg-transparent select-none">
+                        <img src={dataUrl} alt="" className="block max-h-[68vh] max-w-full bg-transparent" draggable={false} />
+                        {image ? (
+                            <>
+                                <canvas ref={maskCanvasRef} width={image.width} height={image.height} className="hidden" />
+                                <canvas
+                                    ref={previewCanvasRef}
+                                    width={image.width}
+                                    height={image.height}
+                                    className="absolute inset-0 h-full w-full cursor-crosshair touch-none"
+                                    onPointerDown={startDraw}
+                                    onPointerMove={moveDraw}
+                                    onPointerUp={stopDraw}
+                                    onPointerCancel={stopDraw}
+                                />
+                            </>
+                        ) : null}
+                    </div>
+                </div>
+
+                <div className="flex min-h-[360px] flex-col gap-5">
+                    <div>
+                        <h2 className="text-xl font-semibold">局部遮罩编辑</h2>
+                        <div className="mt-2 text-sm opacity-60">{image ? `${image.width} x ${image.height}px` : "读取中"}</div>
+                    </div>
+
+                    <div className="grid grid-cols-2 gap-2">
+                        <Button type={mode === "paint" ? "primary" : "default"} icon={<Brush className="size-4" />} onClick={() => setMode("paint")}>
+                            画笔
+                        </Button>
+                        <Button type={mode === "erase" ? "primary" : "default"} icon={<Eraser className="size-4" />} onClick={() => setMode("erase")}>
+                            擦除
+                        </Button>
+                    </div>
+
+                    <div className="space-y-2">
+                        <div className="flex items-center justify-between text-sm">
+                            <span className="font-medium opacity-75">笔刷大小</span>
+                            <span className="font-semibold">{brushSize}px</span>
+                        </div>
+                        <Slider min={8} max={160} step={2} value={brushSize} onChange={setBrushSize} />
+                    </div>
+
+                    <div className="space-y-2">
+                        <div className="text-sm font-medium opacity-75">修改要求</div>
+                        <Input.TextArea
+                            rows={6}
+                            value={prompt}
+                            status={error && !prompt.trim() ? "error" : undefined}
+                            placeholder="例如：把选中区域改成金属材质，保持原图光影"
+                            onChange={(event) => {
+                                setPrompt(event.target.value);
+                                setError("");
+                            }}
+                        />
+                        {error ? <div className="text-xs font-medium text-[#ef4444]">{error}</div> : null}
+                    </div>
+
+                    <div className="mt-auto flex items-center justify-between gap-2">
+                        <Button icon={<RotateCcw className="size-4" />} onClick={resetMask}>
+                            重置
+                        </Button>
+                        <div className="flex items-center gap-2">
+                            <Button icon={<X className="size-4" />} onClick={onClose}>
+                                取消
+                            </Button>
+                            <Button type="primary" icon={<WandSparkles className="size-4" />} onClick={submit}>
+                                AI 修改
+                            </Button>
+                        </div>
+                    </div>
+                </div>
+            </div>
+        </Modal>
+    );
+}
+
+function readCanvasPoint(canvas: HTMLCanvasElement, clientX: number, clientY: number) {
+    const rect = canvas.getBoundingClientRect();
+    return {
+        x: ((clientX - rect.left) / Math.max(1, rect.width)) * canvas.width,
+        y: ((clientY - rect.top) / Math.max(1, rect.height)) * canvas.height,
+    };
+}
+
+function clearCanvas(canvas: HTMLCanvasElement | null) {
+    const context = canvas?.getContext("2d");
+    if (!canvas || !context) return;
+    context.clearRect(0, 0, canvas.width, canvas.height);
+}
+
+function drawMaskStroke(context: CanvasRenderingContext2D, from: { x: number; y: number }, to: { x: number; y: number }, size: number) {
+    if (from.x === to.x && from.y === to.y) {
+        context.beginPath();
+        context.arc(to.x, to.y, size / 2, 0, Math.PI * 2);
+        context.fill();
+        return;
+    }
+    context.beginPath();
+    context.moveTo(from.x, from.y);
+    context.lineTo(to.x, to.y);
+    context.stroke();
+}
+
+function canvasHasPaint(canvas: HTMLCanvasElement) {
+    const context = canvas.getContext("2d");
+    if (!context) return false;
+    const data = context.getImageData(0, 0, canvas.width, canvas.height).data;
+    for (let index = 3; index < data.length; index += 4) {
+        if (data[index] > 0) return true;
+    }
+    return false;
+}
+
+function renderMaskPreview(maskCanvas: HTMLCanvasElement, previewCanvas: HTMLCanvasElement | null, withBorder = false) {
+    const context = previewCanvas?.getContext("2d");
+    if (!previewCanvas || !context) return;
+    context.clearRect(0, 0, previewCanvas.width, previewCanvas.height);
+    context.fillStyle = maskFillColor;
+    context.fillRect(0, 0, previewCanvas.width, previewCanvas.height);
+    context.globalCompositeOperation = "destination-in";
+    context.drawImage(maskCanvas, 0, 0);
+    context.globalCompositeOperation = "source-over";
+    if (withBorder) drawDashedMaskBorder(context, maskCanvas);
+}
+
+function drawDashedMaskBorder(context: CanvasRenderingContext2D, maskCanvas: HTMLCanvasElement) {
+    const maskContext = maskCanvas.getContext("2d");
+    if (!maskContext) return;
+    const { width, height } = maskCanvas;
+    const data = maskContext.getImageData(0, 0, width, height).data;
+    const step = Math.max(1, Math.round(Math.max(width, height) / 1200));
+    const dash = step * 8;
+    const gap = step * 5;
+    const period = dash + gap;
+
+    context.save();
+    context.fillStyle = maskBorderColor;
+    context.shadowColor = "rgba(0, 0, 0, .24)";
+    context.shadowBlur = step * 1.5;
+    for (let y = step; y < height - step; y += step) {
+        for (let x = step; x < width - step; x += step) {
+            const offset = (y * width + x) * 4 + 3;
+            if (data[offset] === 0 || !isMaskEdge(data, width, x, y, step)) continue;
+            if ((x + y) % period > dash) continue;
+            context.fillRect(x - step / 2, y - step / 2, Math.max(1.5, step), Math.max(1.5, step));
+        }
+    }
+    context.restore();
+}
+
+function isMaskEdge(data: Uint8ClampedArray, width: number, x: number, y: number, step: number) {
+    return data[((y - step) * width + x) * 4 + 3] === 0 || data[((y + step) * width + x) * 4 + 3] === 0 || data[(y * width + x - step) * 4 + 3] === 0 || data[(y * width + x + step) * 4 + 3] === 0;
+}
+
+function buildEditMask(selectionCanvas: HTMLCanvasElement) {
+    const canvas = document.createElement("canvas");
+    canvas.width = selectionCanvas.width;
+    canvas.height = selectionCanvas.height;
+    const context = canvas.getContext("2d");
+    if (!context) return selectionCanvas.toDataURL("image/png");
+    const selectionContext = selectionCanvas.getContext("2d");
+    context.fillStyle = "#fff";
+    context.fillRect(0, 0, canvas.width, canvas.height);
+    if (!selectionContext) return canvas.toDataURL("image/png");
+    const selection = selectionContext.getImageData(0, 0, canvas.width, canvas.height);
+    const mask = context.getImageData(0, 0, canvas.width, canvas.height);
+    for (let index = 3; index < mask.data.length; index += 4) {
+        if (selection.data[index] > 0) mask.data[index] = 0;
+    }
+    context.putImageData(mask, 0, 0);
+    return canvas.toDataURL("image/png");
+}
@@ -0,0 +1,104 @@
+"use client";
+
+import { useEffect, useState } from "react";
+import { Button, InputNumber, Modal } from "antd";
+import { Grid2x2 } from "lucide-react";
+
+import { readImageMeta } from "@/lib/image-utils";
+import type { ImageSplitParams } from "../utils/canvas-image-data";
+
+export type CanvasImageSplitParams = ImageSplitParams;
+
+const defaultParams: CanvasImageSplitParams = { rows: 2, columns: 2 };
+const maxGridSize = 12;
+
+export function CanvasNodeSplitDialog({ dataUrl, open, onClose, onConfirm }: { dataUrl: string; open: boolean; onClose: () => void; onConfirm: (params: CanvasImageSplitParams) => void }) {
+    const [params, setParams] = useState(defaultParams);
+    const [image, setImage] = useState<{ width: number; height: number } | null>(null);
+    const total = params.rows * params.columns;
+    const pieceSize = image ? { width: Math.max(1, Math.floor(image.width / params.columns)), height: Math.max(1, Math.floor(image.height / params.rows)) } : null;
+
+    useEffect(() => {
+        if (!open) return;
+        setParams(defaultParams);
+        setImage(null);
+    }, [dataUrl, open]);
+
+    useEffect(() => {
+        if (!open) return;
+        void readImageMeta(dataUrl).then(setImage);
+    }, [dataUrl, open]);
+
+    const update = (key: keyof CanvasImageSplitParams, value: string | number | null) => {
+        setParams((current) => ({ ...current, [key]: clampGrid(value ?? current[key]) }));
+    };
+
+    return (
+        <Modal title={null} open={open && Boolean(dataUrl)} onCancel={onClose} footer={null} width={780} centered destroyOnHidden>
+            <div className="space-y-5">
+                <div>
+                    <h2 className="text-xl font-semibold">切分图片</h2>
+                    <p className="mt-1 text-sm opacity-60">生成 {total} 个图片子节点，并按原图网格排列到画布右侧</p>
+                </div>
+                <div className="grid gap-6 md:grid-cols-[minmax(260px,1fr)_280px]">
+                    <div className="rounded-xl border p-4">
+                        <div className="grid min-h-[300px] place-items-center rounded-lg bg-black/5">
+                            <div className="relative inline-block max-w-full overflow-hidden rounded-lg bg-black shadow-xl">
+                                <img src={dataUrl} alt="" className="block max-h-[340px] max-w-full object-contain opacity-95" draggable={false} />
+                                <SplitGrid rows={params.rows} columns={params.columns} />
+                            </div>
+                        </div>
+                        <div className="mt-3 flex items-center justify-between text-sm">
+                            <span className="opacity-60">原图</span>
+                            <span className="font-semibold">{image ? `${image.width} x ${image.height} px` : "读取中"}</span>
+                        </div>
+                    </div>
+                    <div className="space-y-5 py-2">
+                        <NumberField label="行数" value={params.rows} onChange={(value) => update("rows", value)} />
+                        <NumberField label="列数" value={params.columns} onChange={(value) => update("columns", value)} />
+                        <div className="rounded-xl border px-4 py-3 text-sm">
+                            <div className="flex items-center justify-between">
+                                <span className="opacity-60">子节点</span>
+                                <span className="font-semibold">{total} 个</span>
+                            </div>
+                            <div className="mt-2 flex items-center justify-between">
+                                <span className="opacity-60">单块约</span>
+                                <span className="font-semibold">{pieceSize ? `${pieceSize.width} x ${pieceSize.height}` : "未知"}</span>
+                            </div>
+                        </div>
+                        <Button type="primary" size="large" className="w-full" icon={<Grid2x2 className="size-4" />} onClick={() => onConfirm(params)}>
+                            生成子节点
+                        </Button>
+                    </div>
+                </div>
+            </div>
+        </Modal>
+    );
+}
+
+function NumberField({ label, value, onChange }: { label: string; value: number; onChange: (value: string | number | null) => void }) {
+    return (
+        <label className="block space-y-2">
+            <span className="font-medium opacity-75">{label}</span>
+            <InputNumber className="w-full" min={1} max={maxGridSize} precision={0} value={value} onChange={onChange} />
+        </label>
+    );
+}
+
+function SplitGrid({ rows, columns }: CanvasImageSplitParams) {
+    return (
+        <div className="pointer-events-none absolute inset-0">
+            {Array.from({ length: columns - 1 }).map((_, index) => (
+                <div key={`column-${index}`} className="absolute inset-y-0 border-l border-white/90 shadow-[0_0_0_1px_rgba(0,0,0,.35)]" style={{ left: `${((index + 1) / columns) * 100}%` }} />
+            ))}
+            {Array.from({ length: rows - 1 }).map((_, index) => (
+                <div key={`row-${index}`} className="absolute inset-x-0 border-t border-white/90 shadow-[0_0_0_1px_rgba(0,0,0,.35)]" style={{ top: `${((index + 1) / rows) * 100}%` }} />
+            ))}
+        </div>
+    );
+}
+
+function clampGrid(value: string | number) {
+    const numberValue = Number(value);
+    return Math.min(maxGridSize, Math.max(1, Math.round(Number.isFinite(numberValue) ? numberValue : 1)));
+}
@@ -45,6 +45,7 @@ type CanvasNodeProps = {
    onSetBatchPrimary?: (node: CanvasNodeData) => void;
    onRetry?: (node: CanvasNodeData) => void;
    onGenerateImage?: (node: CanvasNodeData) => void;
+    onViewImage?: (node: CanvasNodeData) => void;
    onContextMenu: (event: React.MouseEvent, nodeId: string) => void;
 };

@@ -99,6 +100,7 @@ export const CanvasNode = React.memo(function CanvasNode({
    onSetBatchPrimary,
    onRetry,
    onGenerateImage,
+    onViewImage,
    onContextMenu,
 }: CanvasNodeProps) {
    const theme = canvasThemes[useThemeStore((state) => state.theme)];
@@ -269,6 +271,11 @@ export const CanvasNode = React.memo(function CanvasNode({
                        onToggleBatch?.(data.id);
                        return;
                    }
+                    if (data.type === CanvasNodeType.Image && hasImageContent) {
+                        event.stopPropagation();
+                        onViewImage?.(data);
+                        return;
+                    }
                    if (data.type !== CanvasNodeType.Text) return;
                    event.stopPropagation();
                    setIsEditingContent(true);
@@ -322,7 +329,7 @@ export const CanvasNode = React.memo(function CanvasNode({
            <ConnectionHandleDot side="left" visible={hovered || isSelected || isConnecting} onMouseDown={(event) => onConnectStart(event, data.id, "target")} />
            <ConnectionHandleDot side="right" visible={data.type !== CanvasNodeType.Config && (hovered || isSelected || isConnecting)} onMouseDown={(event) => onConnectStart(event, data.id, "source")} />

-            {showPanel && renderPanel && data.type !== CanvasNodeType.Config ? <div className="absolute left-1/2 top-full z-[70] w-[500px] -translate-x-1/2 pt-4">{renderPanel(data)}</div> : null}
+            {showPanel && renderPanel ? <div className="absolute left-1/2 top-full z-[70] w-[500px] -translate-x-1/2 pt-4">{renderPanel(data)}</div> : null}
        </div>
    );
 });
@@ -334,7 +341,7 @@ function NodeContent(props: NodeContentRendererProps) {
    if (props.node.metadata?.status === "error") return <ErrorContent node={props.node} theme={props.theme} onRetry={props.onRetry} />;

    const Renderer = nodeContentRenderers[props.node.type];
-    return <Renderer {...props} />;
+    return Renderer ? <Renderer {...props} /> : <UnknownNodeContent theme={props.theme} />;
 }

 const nodeContentRenderers = {
@@ -375,7 +382,18 @@ function ErrorContent({ node, theme, onRetry }: Pick<NodeContentRendererProps, "
    );
 }

+function UnknownNodeContent({ theme }: Pick<NodeContentRendererProps, "theme">) {
+    return (
+        <div className="flex h-full w-full items-center justify-center text-sm" style={{ color: theme.node.placeholder }}>
+            未知节点
+        </div>
+    );
+}
+
 function TextContent({ node, theme, isEditingContent, textareaRef, mentionReferences, onContentChange, onStopEditing, onGenerateImage }: NodeContentRendererProps) {
+    const fontSize = node.metadata?.fontSize || 14;
+    const textStyle = { fontSize: `${fontSize}px`, lineHeight: `${Math.round(fontSize * 1.65)}px`, color: theme.node.text, boxSizing: "border-box" } as React.CSSProperties;
+
    return (
        <div className="flex h-full w-full flex-col overflow-hidden pt-8">
            <button
@@ -397,10 +415,11 @@ function TextContent({ node, theme, isEditingContent, textareaRef, mentionRefere
            {isEditingContent ? (
                <CanvasResourceMentionTextarea
                    ref={textareaRef}
-                    className="thin-scrollbar block h-full w-full resize-none overflow-y-auto whitespace-pre-wrap break-words border-none bg-transparent pl-4 pr-14 pt-0 pb-4 m-0 font-mono leading-relaxed outline-none select-text appearance-none"
-                    style={{ fontSize: `${node.metadata?.fontSize || 14}px`, color: theme.node.text }}
+                    className="thin-scrollbar block h-full w-full resize-none overflow-y-auto whitespace-pre-wrap break-words border-none bg-transparent pl-4 pr-14 pt-0 pb-4 m-0 font-mono outline-none select-text appearance-none"
+                    style={textStyle}
                    value={node.metadata?.content || ""}
                    references={mentionReferences}
+                    highlightLabels={false}
                    onChange={(value) => onContentChange(node.id, value)}
                    onBlur={onStopEditing}
                    onKeyDown={(event) => {
@@ -412,8 +431,8 @@ function TextContent({ node, theme, isEditingContent, textareaRef, mentionRefere
                />
            ) : (
                <div
-                    className="thin-scrollbar block h-full w-full overflow-y-auto whitespace-pre-wrap break-words bg-transparent pl-4 pr-14 pt-0 pb-4 font-mono leading-relaxed"
-                    style={{ fontSize: `${node.metadata?.fontSize || 14}px`, color: theme.node.text }}
+                    className="thin-scrollbar block h-full w-full overflow-y-auto whitespace-pre-wrap break-words bg-transparent pl-4 pr-14 pt-0 pb-4 font-mono"
+                    style={textStyle}
                    onWheel={(event) => event.stopPropagation()}
                >
                    {node.metadata?.content || <span style={{ color: theme.node.placeholder }}>双击编辑文字</span>}
@@ -20,14 +20,16 @@ type Props = Omit<TextareaHTMLAttributes<HTMLTextAreaElement>, "onChange" | "val
    onChange: (value: string) => void;
    onSubmit?: () => void;
    containerClassName?: string;
+    highlightLabels?: boolean;
 };

-export const CanvasResourceMentionTextarea = forwardRef<HTMLTextAreaElement, Props>(function CanvasResourceMentionTextarea({ value, references, onChange, onSubmit, onKeyDown, className, containerClassName, style, ...props }, forwardedRef) {
+export const CanvasResourceMentionTextarea = forwardRef<HTMLTextAreaElement, Props>(function CanvasResourceMentionTextarea({ value, references, onChange, onSubmit, onKeyDown, className, containerClassName, style, highlightLabels = true, ...props }, forwardedRef) {
    const theme = canvasThemes[useThemeStore((state) => state.theme)];
    const textareaRef = useRef<HTMLTextAreaElement | null>(null);
    const overlayRef = useRef<HTMLDivElement | null>(null);
    const [mention, setMention] = useState<MentionState | null>(null);
    const [activeIndex, setActiveIndex] = useState(0);
+    const [hasSelection, setHasSelection] = useState(false);
    const candidates = useMemo(() => {
        if (!mention) return [];
        const query = mention.query.trim().toLowerCase();
@@ -35,7 +37,7 @@ export const CanvasResourceMentionTextarea = forwardRef<HTMLTextAreaElement, Pro
        if (!query) return activeReferences;
        return activeReferences.filter((item) => `${item.label} ${item.title} ${item.kind} ${item.text || ""}`.toLowerCase().includes(query));
    }, [mention, references]);
-    const activeLabels = useMemo(() => Array.from(new Set(references.filter((item) => item.active).map((item) => item.label))).sort((a, b) => b.length - a.length), [references]);
+    const activeLabels = useMemo(() => (highlightLabels ? Array.from(new Set(references.filter((item) => item.active).map((item) => item.label))).sort((a, b) => b.length - a.length) : []), [highlightLabels, references]);

    const updateValue = (next: string, selectionStart?: number) => {
        onChange(next);
@@ -78,17 +80,23 @@ export const CanvasResourceMentionTextarea = forwardRef<HTMLTextAreaElement, Pro
        overlayRef.current.scrollLeft = textareaRef.current.scrollLeft;
    };

+    const updateSelectionState = () => {
+        const textarea = textareaRef.current;
+        setHasSelection(Boolean(textarea && textarea.selectionStart !== textarea.selectionEnd));
+    };
+
+    const showOverlay = Boolean(activeLabels.length && !hasSelection);
    const mergedStyle = {
        ...(style || {}),
-        color: activeLabels.length ? "transparent" : style?.color,
+        color: showOverlay ? "transparent" : style?.color,
        caretColor: style?.color || theme.node.text,
-        ...(activeLabels.length ? { background: "transparent", backgroundColor: "transparent" } : {}),
+        ...(showOverlay ? { background: "transparent", backgroundColor: "transparent" } : {}),
    } as CSSProperties;
    const menu = mention && candidates.length && textareaRef.current ? <MentionMenu textarea={textareaRef.current} references={candidates} activeIndex={Math.min(activeIndex, candidates.length - 1)} theme={theme} onSelect={insertReference} /> : null;

    return (
        <div className={`relative h-full w-full ${containerClassName || ""}`}>
-            {activeLabels.length ? (
+            {showOverlay ? (
                <div ref={overlayRef} className={`${className || ""} pointer-events-none absolute inset-0 overflow-hidden whitespace-pre-wrap break-words`} style={{ ...style, color: theme.node.text }}>
                    <MentionHighlightText value={value || props.placeholder?.toString() || ""} labels={activeLabels} placeholder={!value} />
                </div>
@@ -107,7 +115,22 @@ export const CanvasResourceMentionTextarea = forwardRef<HTMLTextAreaElement, Pro
                    const next = event.target.value;
                    onChange(next);
                    syncMention(next, event.target.selectionStart);
-                    requestAnimationFrame(syncOverlayScroll);
+                    requestAnimationFrame(() => {
+                        syncOverlayScroll();
+                        updateSelectionState();
+                    });
+                }}
+                onSelect={(event) => {
+                    updateSelectionState();
+                    props.onSelect?.(event);
+                }}
+                onKeyUp={(event) => {
+                    updateSelectionState();
+                    props.onKeyUp?.(event);
+                }}
+                onPointerUp={(event) => {
+                    updateSelectionState();
+                    props.onPointerUp?.(event);
                }}
                onKeyDown={(event) => {
                    if (mention && candidates.length) {
@@ -144,6 +167,7 @@ export const CanvasResourceMentionTextarea = forwardRef<HTMLTextAreaElement, Pro
                    props.onScroll?.(event);
                }}
                onBlur={(event) => {
+                    setHasSelection(false);
                    window.setTimeout(closeMention, 120);
                    props.onBlur?.(event);
                }}
@@ -28,6 +28,7 @@ type CanvasStore = {
    openProject: (id: string) => CanvasProject | null;
    renameProject: (id: string, title: string) => void;
    deleteProjects: (ids: string[]) => void;
+    replaceProjects: (projects: CanvasProject[]) => void;
    updateProject: (id: string, patch: Partial<Pick<CanvasProject, "nodes" | "connections" | "chatSessions" | "activeChatId" | "backgroundMode" | "showImageInfo" | "viewport">>) => void;
 };

@@ -112,6 +113,7 @@ export const useCanvasStore = create<CanvasStore>()(
                    const projects = state.projects.filter((project) => !ids.includes(project.id));
                    return { projects };
                }),
+            replaceProjects: (projects) => set({ projects }),
            updateProject: (id, patch) =>
                set((state) => ({
                    projects: state.projects.map((project) => (project.id === id ? { ...project, ...patch, updatedAt: new Date().toISOString() } : project)),
@@ -23,6 +23,7 @@ export type CanvasImageGenerationType = "generation" | "edit";

 export type CanvasNodeMetadata = {
    content?: string;
+    composerContent?: string;
    prompt?: string;
    status?: CanvasNodeStatus;
    errorDetails?: string;
@@ -51,7 +52,6 @@ export type CanvasNodeMetadata = {
    batchUsesReferenceImages?: boolean;
    primaryImageId?: string;
    imageBatchExpanded?: boolean;
-    inputOrder?: string[];
    storageKey?: string;
    mimeType?: string;
    bytes?: number;
@@ -23,6 +23,17 @@ export type ImageUpscaleParams = {
    algorithm: ImageUpscaleAlgorithm;
 };

+export type ImageSplitParams = {
+    rows: number;
+    columns: number;
+};
+
+export type ImageSplitPiece = {
+    row: number;
+    column: number;
+    dataUrl: string;
+};
+
 export async function cropDataUrl(dataUrl: string, crop?: ImageCropRect) {
    const image = await loadImage(dataUrl);
    if (crop) {
@@ -34,6 +45,25 @@ export async function cropDataUrl(dataUrl: string, crop?: ImageCropRect) {
    return drawCrop(image, sx, sy, size, size);
 }

+export async function splitDataUrl(dataUrl: string, params: ImageSplitParams): Promise<ImageSplitPiece[]> {
+    const image = await loadImage(dataUrl);
+    const rows = Math.max(1, Math.floor(params.rows));
+    const columns = Math.max(1, Math.floor(params.columns));
+    const pieces: ImageSplitPiece[] = [];
+
+    for (let row = 0; row < rows; row += 1) {
+        const sy = Math.floor((row * image.height) / rows);
+        const sh = Math.floor(((row + 1) * image.height) / rows) - sy;
+        for (let column = 0; column < columns; column += 1) {
+            const sx = Math.floor((column * image.width) / columns);
+            const sw = Math.floor(((column + 1) * image.width) / columns) - sx;
+            pieces.push({ row, column, dataUrl: drawCrop(image, sx, sy, sw, sh) });
+        }
+    }
+
+    return pieces;
+}
+
 export async function transformAngleDataUrl(dataUrl: string, params: ImageAngleTransform) {
    const image = await loadImage(dataUrl);
    const canvas = document.createElement("canvas");
@@ -15,16 +15,6 @@ export type CanvasResourceReference = {
    active: boolean;
 };

-type MentionInput = {
-    nodeId: string;
-    type: CanvasResourceKind;
-    title: string;
-    text?: string;
-    image?: { dataUrl: string };
-    video?: { url: string };
-    audio?: { url: string };
-};
-
 export function buildCanvasResourceReferences(nodes: CanvasNodeData[], connections: CanvasConnection[], contextNodeId?: string | null) {
    const contextNodes = contextNodeId ? getMentionResourceNodes(contextNodeId, nodes, connections) : [];
    const globalReferences = labelResourceNodes(nodes.filter(isResourceNode), false);
@@ -36,23 +26,6 @@ export function buildNodeMentionReferences(node: CanvasNodeData, nodes: CanvasNo
    return labelResourceNodes(getMentionResourceNodes(node.id, nodes, connections), true);
 }

-export function buildInputMentionReferences(inputs: MentionInput[]) {
-    const counts: Record<CanvasResourceKind, number> = { image: 0, video: 0, audio: 0, text: 0 };
-    return inputs.map((input): CanvasResourceReference => {
-        const index = counts[input.type]++;
-        return {
-            id: input.nodeId,
-            nodeId: input.nodeId,
-            kind: input.type,
-            label: labelForKind(input.type, index),
-            title: input.title || labelForKind(input.type, index),
-            previewUrl: input.image?.dataUrl || input.video?.url || input.audio?.url,
-            text: input.text,
-            active: true,
-        };
-    });
-}
-
 export function getMentionResourceNodes(nodeId: string, nodes: CanvasNodeData[], connections: CanvasConnection[]) {
    const configInputs = getConnectedConfigResourceNodes(nodeId, nodes, connections);
    if (configInputs.length) return configInputs;
@@ -71,13 +44,10 @@ export function getGenerationResourceNodes(nodeId: string, nodes: CanvasNodeData
 }

 function getContextResourceNodes(nodeId: string, nodes: CanvasNodeData[], connections: CanvasConnection[]) {
-    const target = nodes.find((node) => node.id === nodeId);
-    const upstreamNodes = connections
+    return connections
        .filter((connection) => connection.toNodeId === nodeId)
        .map((connection) => nodes.find((node) => node.id === connection.fromNodeId))
        .filter((node): node is CanvasNodeData => Boolean(node && isResourceNode(node)));
-    const order = target?.metadata?.inputOrder || [];
-    return [...order.map((id) => upstreamNodes.find((node) => node.id === id)).filter((node): node is CanvasNodeData => Boolean(node)), ...upstreamNodes.filter((node) => !order.includes(node.id))];
 }

 function getConnectedConfigResourceNodes(nodeId: string, nodes: CanvasNodeData[], connections: CanvasConnection[]) {
@@ -16,7 +16,7 @@ import { formatBytes, formatDuration } from "@/lib/image-utils";
 import { boolConfig, isSeedanceVideoConfig, normalizeSeedanceRatio, seedanceReferenceLabel, seedanceVideoReferenceError, seedanceVideoReferenceHint, SEEDANCE_REFERENCE_LIMITS } from "@/lib/seedance-video";
 import { deleteStoredMedia, resolveMediaUrl, uploadMediaFile } from "@/services/file-storage";
 import { resolveImageUrl, uploadImage } from "@/services/image-storage";
-import { requestVideoGeneration, storeGeneratedVideo } from "@/services/api/video";
+import { createVideoGenerationTask, pollVideoGenerationTask, storeGeneratedVideo, type VideoGenerationTask } from "@/services/api/video";
 import { useAssetStore } from "@/stores/use-asset-store";
 import { useConfigStore, useEffectiveConfig, type AiConfig } from "@/stores/use-config-store";
 import { useThemeStore } from "@/stores/use-theme-store";
@@ -56,7 +56,8 @@ type GenerationLog = {
    size: string;
    resolution: string;
    seconds: string;
-    status: "成功" | "失败";
+    status: "生成中" | "成功" | "失败";
+    task?: VideoGenerationTask;
    video?: GeneratedVideo;
    error?: string;
 };
@@ -71,6 +72,7 @@ const logStore = localforage.createInstance({ name: "infinite-canvas", storeName
 export default function VideoPage() {
    const { message } = App.useApp();
    const fileInputRef = useRef<HTMLInputElement>(null);
+    const activeLogIdsRef = useRef<Set<string>>(new Set());
    const config = useConfigStore((state) => state.config);
    const effectiveConfig = useEffectiveConfig();
    const updateConfig = useConfigStore((state) => state.updateConfig);
@@ -174,26 +176,15 @@ export default function VideoPage() {
        const batchStartedAt = performance.now();
        setStartedAt(batchStartedAt);
        try {
-            const stored = await storeGeneratedVideo(await requestVideoGeneration(snapshot.config, snapshot.text, snapshot.references, snapshot.videoReferences, snapshot.audioReferences));
-            const nextVideo: GeneratedVideo = {
-                id: nanoid(),
-                url: stored.url,
-                storageKey: stored.storageKey,
-                durationMs: performance.now() - batchStartedAt,
-                width: stored.width || 1280,
-                height: stored.height || 720,
-                bytes: stored.bytes,
-                mimeType: stored.mimeType,
-            };
-            setResults([{ id: nextVideo.id, status: "success", video: nextVideo }]);
-            saveLog(buildLog({ prompt: snapshot.text, model, config: snapshot.config, references: snapshot.references, videoReferences: snapshot.videoReferences, audioReferences: snapshot.audioReferences, durationMs: nextVideo.durationMs, status: "成功", video: nextVideo }));
-            message.success("视频已生成");
+            const task = await createVideoGenerationTask(snapshot.config, snapshot.text, snapshot.references, snapshot.videoReferences, snapshot.audioReferences);
+            const log = buildLog({ prompt: snapshot.text, model, config: snapshot.config, references: snapshot.references, videoReferences: snapshot.videoReferences, audioReferences: snapshot.audioReferences, durationMs: 0, status: "生成中", task });
+            await saveLog(log);
+            void pollGenerationLog(log, snapshot.config);
        } catch (error) {
            const errorMessage = error instanceof Error ? error.message : "生成失败";
            setResults([{ id: nanoid(), status: "failed", error: errorMessage }]);
-            saveLog(buildLog({ prompt: snapshot.text, model, config: snapshot.config, references: snapshot.references, videoReferences: snapshot.videoReferences, audioReferences: snapshot.audioReferences, durationMs: performance.now() - batchStartedAt, status: "失败", error: errorMessage }));
+            await saveLog(buildLog({ prompt: snapshot.text, model, config: snapshot.config, references: snapshot.references, videoReferences: snapshot.videoReferences, audioReferences: snapshot.audioReferences, durationMs: performance.now() - batchStartedAt, status: "失败", error: errorMessage }));
            message.error(errorMessage);
-        } finally {
            setRunning(false);
        }
    };
@@ -276,11 +267,68 @@ export default function VideoPage() {
        setDeleteConfirmOpen(false);
    };

-    const saveLog = (log: GenerationLog) => {
-        void logStore.setItem(log.id, serializeLog(log)).then(refreshLogs);
+    const saveLog = async (log: GenerationLog) => {
+        await logStore.setItem(log.id, serializeLog(log));
+        await refreshLogs();
    };

-    const refreshLogs = async () => setLogs(await readStoredLogs());
+    const refreshLogs = async () => {
+        const nextLogs = await readStoredLogs();
+        setLogs(nextLogs);
+        resumePendingLogs(nextLogs);
+        return nextLogs;
+    };
+
+    const resumePendingLogs = (items: GenerationLog[]) => {
+        for (const log of items) {
+            if (log.status === "生成中" && log.task) void pollGenerationLog(log);
+        }
+    };
+
+    const pollGenerationLog = async (log: GenerationLog, configOverride?: AiConfig) => {
+        if (!log.task || activeLogIdsRef.current.has(log.id)) return;
+        activeLogIdsRef.current.add(log.id);
+        setRunning(true);
+        setStartedAt((value) => value || performance.now());
+        setResults((value) => (value.length ? value : [{ id: log.id, status: "pending" }]));
+        const taskConfig = buildVideoConfig({ ...effectiveConfig, ...log.config }, log.task.model || log.model);
+        try {
+            for (let attempt = 0; attempt < 120; attempt += 1) {
+                const state = await pollVideoGenerationTask(configOverride || taskConfig, log.task);
+                if (state.status === "completed") {
+                    const stored = await storeGeneratedVideo(state.result);
+                    const nextVideo: GeneratedVideo = {
+                        id: nanoid(),
+                        url: stored.url,
+                        storageKey: stored.storageKey,
+                        durationMs: Date.now() - log.createdAt,
+                        width: stored.width || 1280,
+                        height: stored.height || 720,
+                        bytes: stored.bytes,
+                        mimeType: stored.mimeType,
+                    };
+                    setResults([{ id: nextVideo.id, status: "success", video: nextVideo }]);
+                    await saveLog({ ...log, status: "成功", durationMs: nextVideo.durationMs, video: nextVideo, error: undefined });
+                    message.success("视频已生成");
+                    return;
+                }
+                if (state.status === "failed") throw new Error(state.error);
+                if (attempt === 119) throw new Error("视频生成超时，请稍后重试");
+                await delay(log.task.provider === "seedance" ? 5000 : 2500);
+            }
+        } catch (error) {
+            const errorMessage = error instanceof Error ? error.message : "生成失败";
+            setResults([{ id: log.id, status: "failed", error: errorMessage }]);
+            await saveLog({ ...log, status: "失败", durationMs: Date.now() - log.createdAt, error: errorMessage });
+            message.error(errorMessage);
+        } finally {
+            activeLogIdsRef.current.delete(log.id);
+            if (!activeLogIdsRef.current.size) {
+                setRunning(false);
+                setStartedAt(0);
+            }
+        }
+    };

    const previewGenerationLog = (log: GenerationLog) => {
        setPreviewLog(log);
@@ -295,7 +343,7 @@ export default function VideoPage() {
        if (log.config.videoSeconds) updateConfig("videoSeconds", log.config.videoSeconds);
        if (log.config.videoGenerateAudio) updateConfig("videoGenerateAudio", log.config.videoGenerateAudio);
        if (log.config.videoWatermark) updateConfig("videoWatermark", log.config.videoWatermark);
-        setResults(log.video ? [{ id: log.video.id, status: "success", video: log.video }] : [{ id: log.id, status: "failed", error: log.error || "生成失败" }]);
+        setResults(log.status === "生成中" ? [{ id: log.id, status: "pending" }] : log.video ? [{ id: log.video.id, status: "success", video: log.video }] : [{ id: log.id, status: "failed", error: log.error || "生成失败" }]);
    };

    return (
@@ -608,7 +656,7 @@ function LogCard({ log, selected, active, onSelectedChange, onClick }: { log: Ge
                    </div>
                </div>
                <div className="grid justify-items-end gap-2">
-                    <Tag className="m-0 flex h-6 items-center rounded-md px-1.5 text-xs leading-none" color={log.status === "成功" ? "blue" : "red"}>
+                    <Tag className="m-0 flex h-6 items-center rounded-md px-1.5 text-xs leading-none" color={log.status === "成功" ? "blue" : log.status === "生成中" ? "processing" : "red"}>
                        {log.status}
                    </Tag>
                    <Tag className="m-0 flex h-6 items-center rounded-md px-1.5 text-xs leading-none" color="green">
@@ -670,6 +718,7 @@ async function normalizeLog(log: Partial<GenerationLog>): Promise<GenerationLog>
        resolution: normalizeResolution(log.resolution || config.vquality || ""),
        seconds: log.seconds || config.videoSeconds || "",
        status: log.status || "成功",
+        task: log.task,
        video,
        error: log.error,
    };
@@ -739,7 +788,7 @@ function normalizeLogConfig(log: Partial<GenerationLog>): GenerationLogConfig {
    };
 }

-function buildLog({ prompt, model, config, references, videoReferences, audioReferences, durationMs, status, video, error }: { prompt: string; model: string; config: AiConfig; references: ReferenceImage[]; videoReferences: ReferenceVideo[]; audioReferences: ReferenceAudio[]; durationMs: number; status: GenerationLog["status"]; video?: GeneratedVideo; error?: string }): GenerationLog {
+function buildLog({ prompt, model, config, references, videoReferences, audioReferences, durationMs, status, task, video, error }: { prompt: string; model: string; config: AiConfig; references: ReferenceImage[]; videoReferences: ReferenceVideo[]; audioReferences: ReferenceAudio[]; durationMs: number; status: GenerationLog["status"]; task?: VideoGenerationTask; video?: GeneratedVideo; error?: string }): GenerationLog {
    const logConfig = {
        model: config.model,
        videoModel: config.videoModel,
@@ -765,6 +814,7 @@ function buildLog({ prompt, model, config, references, videoReferences, audioRef
        resolution: logConfig.vquality,
        seconds: logConfig.videoSeconds,
        status,
+        task,
        video,
        error,
    };
@@ -797,3 +847,7 @@ function normalizeVideoSize(value: string) {
 function normalizeResolution(value: string) {
    return normalizeVideoResolutionValue(value);
 }
+
+function delay(ms: number) {
+    return new Promise((resolve) => setTimeout(resolve, ms));
+}
@@ -0,0 +1,59 @@
+import { NextRequest } from "next/server";
+
+export const runtime = "nodejs";
+export const dynamic = "force-dynamic";
+
+const WEBDAV_PROXY_TIMEOUT_MS = 120000;
+
+export async function POST(request: NextRequest) {
+    const target = request.headers.get("x-webdav-target") || "";
+    const method = (request.headers.get("x-webdav-method") || "GET").toUpperCase();
+    if (!target) return new Response("Missing x-webdav-target", { status: 400 });
+
+    let url: URL;
+    try {
+        url = new URL(target);
+    } catch {
+        return new Response("Invalid x-webdav-target", { status: 400 });
+    }
+    if (url.protocol !== "http:" && url.protocol !== "https:") return new Response("Unsupported WebDAV target", { status: 400 });
+
+    const headers = new Headers();
+    copyHeader(request, headers, "x-webdav-authorization", "Authorization");
+    copyHeader(request, headers, "x-webdav-depth", "Depth");
+    copyHeader(request, headers, "x-webdav-destination", "Destination");
+    copyHeader(request, headers, "x-webdav-overwrite", "Overwrite");
+    copyHeader(request, headers, "x-webdav-content-type", "Content-Type");
+
+    const controller = new AbortController();
+    const timer = setTimeout(() => controller.abort(), WEBDAV_PROXY_TIMEOUT_MS);
+    try {
+        const body = method === "GET" || method === "HEAD" ? undefined : await request.arrayBuffer();
+        console.log(`[webdav-proxy] ${method} ${url.href} ${body?.byteLength || 0}B`);
+        const response = await fetch(url, { method, headers, body: body?.byteLength ? body : undefined, signal: controller.signal });
+        console.log(`[webdav-proxy] ${method} ${url.href} -> ${response.status}`);
+        return new Response(method === "HEAD" ? null : response.body, {
+            status: response.status,
+            headers: responseHeaders(response.headers),
+        });
+    } catch (error) {
+        if (error instanceof Error && error.name === "AbortError") return new Response("WebDAV proxy timeout", { status: 504 });
+        return new Response(error instanceof Error ? error.message : "WebDAV proxy error", { status: 502 });
+    } finally {
+        clearTimeout(timer);
+    }
+}
+
+function copyHeader(request: NextRequest, headers: Headers, from: string, to: string) {
+    const value = request.headers.get(from);
+    if (value) headers.set(to, value);
+}
+
+function responseHeaders(headers: Headers) {
+    const result = new Headers();
+    ["content-type", "etag", "last-modified", "dav"].forEach((key) => {
+        const value = headers.get(key);
+        if (value) result.set(key, value);
+    });
+    return result;
+}
@@ -1,10 +1,13 @@
 "use client";

-import { App, Button, Form, Input, Modal, Segmented, Select } from "antd";
+import { App, Button, Form, Input, Modal, Progress, Segmented, Select } from "antd";
+import { Cloud, RefreshCw, Wifi } from "lucide-react";
 import { useState } from "react";

 import { ModelPicker } from "@/components/model-picker";
 import { fetchImageModels } from "@/services/api/image";
+import { syncAppDataToWebdav, type AppSyncDomainKey, type AppSyncProgressEvent } from "@/services/app-sync";
+import { testWebdavConnection, WEBDAV_MANIFEST_FILE_NAME } from "@/services/webdav-sync";
 import { audioFormatOptions, audioVoiceOptions, normalizeAudioSpeedValue } from "@/lib/audio-generation";
 import { filterModelsByCapability, useConfigStore, useEffectiveConfig, type AiConfig, type ModelCapability } from "@/stores/use-config-store";

@@ -16,6 +19,14 @@ type ModelGroup = {
    optionsLabel: string;
 };

+type WebdavDomainProgress = {
+    label: string;
+    stage: string;
+    current?: number;
+    total?: number;
+    status?: "active" | "success" | "exception";
+};
+
 const modelGroups: ModelGroup[] = [
    { capability: "image", modelKey: "imageModel", modelsKey: "imageModels", defaultLabel: "默认生图模型", optionsLabel: "生图模型可选项" },
    { capability: "video", modelKey: "videoModel", modelsKey: "videoModels", defaultLabel: "默认视频模型", optionsLabel: "视频模型可选项" },
@@ -23,11 +34,35 @@ const modelGroups: ModelGroup[] = [
    { capability: "audio", modelKey: "audioModel", modelsKey: "audioModels", defaultLabel: "默认音频模型", optionsLabel: "音频模型可选项" },
 ];

+const webdavDomainKeys: AppSyncDomainKey[] = ["canvas", "assets", "image-workbench", "video-workbench"];
+const webdavDomainLabels: Record<AppSyncDomainKey, string> = {
+    canvas: "画布",
+    assets: "我的素材",
+    "image-workbench": "生图工作台",
+    "video-workbench": "视频创作台",
+};
+
+function createWebdavDomainProgress(): Record<AppSyncDomainKey, WebdavDomainProgress> {
+    return webdavDomainKeys.reduce(
+        (progress, key) => ({
+            ...progress,
+            [key]: { label: webdavDomainLabels[key], stage: "等待同步" },
+        }),
+        {} as Record<AppSyncDomainKey, WebdavDomainProgress>,
+    );
+}
+
 export function AppConfigModal() {
    const { message } = App.useApp();
    const [loadingModels, setLoadingModels] = useState(false);
+    const [testingWebdav, setTestingWebdav] = useState(false);
+    const [syncingWebdav, setSyncingWebdav] = useState(false);
+    const [webdavSyncStatus, setWebdavSyncStatus] = useState("");
+    const [webdavDomainProgress, setWebdavDomainProgress] = useState(createWebdavDomainProgress);
    const config = useConfigStore((state) => state.config);
+    const webdav = useConfigStore((state) => state.webdav);
    const updateConfig = useConfigStore((state) => state.updateConfig);
+    const updateWebdavConfig = useConfigStore((state) => state.updateWebdavConfig);
    const isConfigOpen = useConfigStore((state) => state.isConfigOpen);
    const shouldPromptContinue = useConfigStore((state) => state.shouldPromptContinue);
    const setConfigDialogOpen = useConfigStore((state) => state.setConfigDialogOpen);
@@ -39,6 +74,7 @@ export function AppConfigModal() {
    const effectiveMode = allowCustomChannel ? config.channelMode : "remote";
    const modelConfig = effectiveMode === "remote" ? effectiveConfig : config;
    const modelOptions = config.models.map((model) => ({ label: model, value: model }));
+    const webdavReady = Boolean(webdav.url.trim());

    const finishConfig = () => {
        setConfigDialogOpen(false);
@@ -89,6 +125,57 @@ export function AppConfigModal() {
        if (!next.includes(config[group.modelKey])) updateConfig(group.modelKey, next[0] || "");
    };

+    const testWebdav = async () => {
+        if (!webdavReady) {
+            message.error("请先填写 WebDAV 地址");
+            return;
+        }
+        setTestingWebdav(true);
+        try {
+            await testWebdavConnection(webdav);
+            message.success("WebDAV 连接可用");
+        } catch (error) {
+            message.error(error instanceof Error ? error.message : "WebDAV 连接测试失败");
+        } finally {
+            setTestingWebdav(false);
+        }
+    };
+
+    const updateWebdavProgress = (event: AppSyncProgressEvent) => {
+        setWebdavSyncStatus(event.stage);
+        if (!event.domain) return;
+        setWebdavDomainProgress((current) => ({
+            ...current,
+            [event.domain as AppSyncDomainKey]: {
+                label: event.label || webdavDomainLabels[event.domain as AppSyncDomainKey],
+                stage: event.stage,
+                current: event.current,
+                total: event.total,
+                status: event.status,
+            },
+        }));
+    };
+
+    const syncWebdav = async () => {
+        if (!webdavReady) {
+            message.error("请先填写 WebDAV 地址");
+            return;
+        }
+        setSyncingWebdav(true);
+        setWebdavDomainProgress(createWebdavDomainProgress());
+        setWebdavSyncStatus("准备同步");
+        try {
+            const result = await syncAppDataToWebdav(webdav, updateWebdavProgress);
+            updateWebdavConfig("lastSyncedAt", result.syncedAt);
+            message.success(`同步完成：${result.projects} 个画布，${result.assets} 个素材，${result.imageLogs + result.videoLogs} 条记录，本次上传 ${result.uploadedFiles} 个文件 ${formatBytes(result.uploadedBytes)}`);
+        } catch (error) {
+            setWebdavSyncStatus(error instanceof Error ? error.message : "WebDAV 同步失败");
+            message.error(error instanceof Error ? error.message : "WebDAV 同步失败");
+        } finally {
+            setSyncingWebdav(false);
+        }
+    };
+
    return (
        <Modal
            title={
@@ -218,6 +305,72 @@ export function AppConfigModal() {
                            <Input.TextArea rows={3} value={config.systemPrompt} placeholder="例如：你是一位擅长电影感写实摄影的视觉导演。" onChange={(event) => updateConfig("systemPrompt", event.target.value)} />
                        </Form.Item>
                    ) : null}
+                    <section className="mt-5 rounded-lg border border-stone-200 p-3 dark:border-stone-800">
+                        <div className="mb-3 flex flex-wrap items-start justify-between gap-3">
+                            <div>
+                                <div className="flex items-center gap-2 text-sm font-semibold">
+                                    <Cloud className="size-4" />
+                                    WebDAV 同步
+                                </div>
+                                <div className="mt-1 text-xs text-stone-500">同步画布、我的素材、生成记录和本地媒体文件，不包含 AI API Key；服务不支持 CORS 时可走 Next.js 转发。</div>
+                            </div>
+                            <div className="text-xs text-stone-500">{webdav.lastSyncedAt ? `上次同步 ${formatWebdavTime(webdav.lastSyncedAt)}` : "尚未同步"}</div>
+                        </div>
+                        <div className="grid gap-4 md:grid-cols-2">
+                            <Form.Item label="连接方式" className="mb-4 md:col-span-2">
+                                <Segmented
+                                    block
+                                    value={webdav.proxyMode}
+                                    onChange={(value) => updateWebdavConfig("proxyMode", value as typeof webdav.proxyMode)}
+                                    options={[
+                                        { label: "前端直连", value: "direct" },
+                                        { label: "Next.js 转发", value: "nextjs" },
+                                    ]}
+                                />
+                            </Form.Item>
+                            <Form.Item label="WebDAV 地址" className="mb-4">
+                                <Input value={webdav.url} placeholder="https://nas.example.com/webdav" onChange={(event) => updateWebdavConfig("url", event.target.value)} />
+                            </Form.Item>
+                            <Form.Item label="远程目录" extra={`会在该目录下分业务目录保存，每个目录包含 ${WEBDAV_MANIFEST_FILE_NAME} 和 files/`} className="mb-4">
+                                <Input value={webdav.directory} placeholder="infinite-canvas" onChange={(event) => updateWebdavConfig("directory", event.target.value)} />
+                            </Form.Item>
+                            <Form.Item label="用户名" className="mb-0">
+                                <Input value={webdav.username} autoComplete="username" onChange={(event) => updateWebdavConfig("username", event.target.value)} />
+                            </Form.Item>
+                            <Form.Item label="密码 / 应用密码" className="mb-0">
+                                <Input.Password value={webdav.password} autoComplete="current-password" onChange={(event) => updateWebdavConfig("password", event.target.value)} />
+                            </Form.Item>
+                        </div>
+                        <div className="mt-4 flex flex-wrap items-center gap-2">
+                            <Button icon={<Wifi className="size-4" />} disabled={!webdavReady || syncingWebdav} loading={testingWebdav} onClick={() => void testWebdav()}>
+                                测试连接
+                            </Button>
+                            <Button type="primary" icon={<RefreshCw className="size-4" />} disabled={!webdavReady || testingWebdav} loading={syncingWebdav} onClick={() => void syncWebdav()}>
+                                {syncingWebdav ? "同步中" : "立即同步"}
+                            </Button>
+                            {webdavSyncStatus ? <span className="text-xs text-stone-500">{webdavSyncStatus}</span> : null}
+                        </div>
+                        {syncingWebdav || webdavSyncStatus ? (
+                            <div className="mt-3 grid gap-2">
+                                {webdavDomainKeys.map((key) => {
+                                    const item = webdavDomainProgress[key];
+                                    const count = item.total ? `${item.current || 0}/${item.total}` : "";
+                                    return (
+                                        <div key={key} className="rounded-md border border-stone-200 px-3 py-2 dark:border-stone-800">
+                                            <div className="mb-1 flex min-w-0 items-center justify-between gap-3 text-xs">
+                                                <span className="shrink-0 font-medium text-stone-700 dark:text-stone-200">{item.label}</span>
+                                                <span className="min-w-0 truncate text-right text-stone-500">
+                                                    {item.stage}
+                                                    {count ? ` · ${count}` : ""}
+                                                </span>
+                                            </div>
+                                            <Progress percent={getWebdavProgressPercent(item)} size="small" status={getWebdavProgressStatus(item)} showInfo={false} />
+                                        </div>
+                                    );
+                                })}
+                            </div>
+                        ) : null}
+                    </section>
                </Form>
            </div>
        </Modal>
@@ -237,3 +390,33 @@ function resolveNextCapabilityModels(current: string[], suggested: string[], all
 function uniqueModels(models: string[]) {
    return Array.from(new Set(models.map((model) => model.trim()).filter(Boolean)));
 }
+
+function formatWebdavTime(value: string) {
+    return new Date(value).toLocaleString("zh-CN", { month: "2-digit", day: "2-digit", hour: "2-digit", minute: "2-digit" });
+}
+
+function getWebdavProgressPercent(item: WebdavDomainProgress) {
+    if (item.status === "success") return 100;
+    if (item.total) return Math.min(100, Math.round(((item.current || 0) / item.total) * 100));
+    if (item.status === "exception") return 100;
+    if (item.stage === "等待同步") return 0;
+    if (item.stage === "读取远端清单") return 12;
+    if (item.stage === "读取本地数据") return 24;
+    if (item.stage === "下载缺失媒体") return 36;
+    if (item.stage === "写入本地合并结果") return 58;
+    if (item.stage === "上传新增媒体") return 66;
+    if (item.stage === "媒体已齐全" || item.stage === "媒体无需上传") return 74;
+    if (item.stage.startsWith("上传清单")) return 90;
+    return item.status === "active" ? 30 : 0;
+}
+
+function getWebdavProgressStatus(item: WebdavDomainProgress): "normal" | "active" | "success" | "exception" {
+    if (item.status === "success" || item.status === "exception") return item.status;
+    return item.status === "active" ? "active" : "normal";
+}
+
+function formatBytes(bytes: number) {
+    if (bytes < 1024) return `${bytes}B`;
+    if (bytes < 1024 * 1024) return `${(bytes / 1024).toFixed(1)}KB`;
+    return `${(bytes / 1024 / 1024).toFixed(1)}MB`;
+}
@@ -222,7 +222,7 @@ export async function requestGeneration(config: AiConfig, prompt: string) {
    }
 }

-export async function requestEdit(config: AiConfig, prompt: string, references: ReferenceImage[]) {
+export async function requestEdit(config: AiConfig, prompt: string, references: ReferenceImage[], mask?: ReferenceImage) {
    const n = Math.max(1, Math.min(15, Math.floor(Math.abs(Number(config.count)) || 1)));
    const quality = normalizeQuality(config.quality);
    const requestSize = resolveRequestSize(quality, config.size);
@@ -241,6 +241,7 @@ export async function requestEdit(config: AiConfig, prompt: string, references:
    }
    const files = await Promise.all(references.map(async (image) => dataUrlToFile({ ...image, dataUrl: await imageToDataUrl(image) })));
    files.forEach((file) => formData.append("image", file));
+    if (mask) formData.set("mask", dataUrlToFile(mask));

    try {
        const response = await axios.post<ImageApiResponse>(aiApiUrl(config, "/images/edits"), formData, { headers: aiHeaders(config) });
@@ -21,6 +21,8 @@ type ApiEnvelope<T> = T | { code?: number; data?: T | null; msg?: string };
 type ReferenceMediaUploadResponse = { id: string; url: string; mimeType: string; bytes: number };

 export type VideoGenerationResult = { blob?: Blob; url?: string; mimeType?: string };
+export type VideoGenerationTask = { id: string; provider: "openai" | "seedance"; model: string };
+export type VideoGenerationTaskState = { status: "pending" } | { status: "completed"; result: VideoGenerationResult } | { status: "failed"; error: string };

 function aiApiUrl(config: AiConfig, path: string) {
    return config.channelMode === "remote" ? `/api/v1${path}` : buildApiUrl(config.baseUrl, path);
@@ -44,15 +46,33 @@ function refreshRemoteUser(config: AiConfig) {
 }

 export async function requestVideoGeneration(config: AiConfig, prompt: string, references: ReferenceImage[] = [], videoReferences: ReferenceVideo[] = [], audioReferences: ReferenceAudio[] = []): Promise<VideoGenerationResult> {
+    const task = await createVideoGenerationTask(config, prompt, references, videoReferences, audioReferences);
+    const delayMs = task.provider === "seedance" ? 5000 : 2500;
+    for (let attempt = 0; attempt < 120; attempt += 1) {
+        const state = await pollVideoGenerationTask(config, task);
+        if (state.status === "completed") return state.result;
+        if (state.status === "failed") throw new Error(state.error);
+        if (attempt === 119) throw new Error(`${task.provider === "seedance" ? "Seedance " : ""}视频生成超时，请稍后重试`);
+        await delay(delayMs);
+    }
+    throw new Error("视频生成超时，请稍后重试");
+}
+
+export async function createVideoGenerationTask(config: AiConfig, prompt: string, references: ReferenceImage[] = [], videoReferences: ReferenceVideo[] = [], audioReferences: ReferenceAudio[] = []): Promise<VideoGenerationTask> {
    const model = (config.model || config.videoModel).trim();
    assertVideoConfig(config, model);
    if (isSeedanceVideoConfig({ ...config, model })) {
-        return requestSeedanceGeneration(config, model, prompt, references, videoReferences, audioReferences);
+        return createSeedanceTask(config, model, prompt, references, videoReferences, audioReferences);
    }
    if (videoReferences.length || audioReferences.length) {
        throw new Error("当前视频接口不支持参考视频或参考音频，请切换到 Seedance 2.0 / 火山 Agent Plan 模型，或移除参考素材");
    }
-    return requestOpenAIVideoGeneration(config, model, prompt, references);
+    return createOpenAIVideoTask(config, model, prompt, references);
+}
+
+export async function pollVideoGenerationTask(config: AiConfig, task: VideoGenerationTask): Promise<VideoGenerationTaskState> {
+    assertVideoConfig(config, task.model);
+    return task.provider === "seedance" ? pollSeedanceTask(config, task) : pollOpenAIVideoTask(config, task);
 }

 export async function storeGeneratedVideo(result: VideoGenerationResult): Promise<UploadedFile> {
@@ -61,7 +81,7 @@ export async function storeGeneratedVideo(result: VideoGenerationResult): Promis
    throw new Error("视频接口没有返回可播放的视频");
 }

-async function requestOpenAIVideoGeneration(config: AiConfig, model: string, prompt: string, references: ReferenceImage[]) {
+async function createOpenAIVideoTask(config: AiConfig, model: string, prompt: string, references: ReferenceImage[]): Promise<VideoGenerationTask> {
    const body = new FormData();
    body.append("model", model);
    body.append("prompt", prompt);
@@ -74,23 +94,29 @@ async function requestOpenAIVideoGeneration(config: AiConfig, model: string, pro
    try {
        const created = unwrapVideoResponse((await axios.post<ApiVideoResponse>(aiApiUrl(config, "/videos"), body, { headers: aiHeaders(config) })).data);
        if (!created.id) throw new Error("视频接口没有返回任务 ID");
-        for (let attempt = 0; attempt < 120; attempt += 1) {
-            const video = unwrapVideoResponse((await axios.get<ApiVideoResponse>(aiApiUrl(config, `/videos/${created.id}`), { headers: aiHeaders(config), params: config.channelMode === "remote" ? { model } : undefined })).data);
-            if (video.status === "completed") break;
-            if (video.status === "failed" || video.status === "cancelled") throw new Error(video.error?.message || "视频生成失败");
-            if (attempt === 119) throw new Error("视频生成超时，请稍后重试");
-            await delay(2500);
-        }
-        const content = await axios.get<Blob>(aiApiUrl(config, `/videos/${created.id}/content`), { headers: aiHeaders(config), params: config.channelMode === "remote" ? { model } : undefined, responseType: "blob" });
-        await assertVideoBlob(content.data);
-        refreshRemoteUser(config);
-        return { blob: content.data };
+        return { id: created.id, provider: "openai", model };
    } catch (error) {
-        throw new Error(readAxiosError(error, "视频生成失败"));
+        throw new Error(readAxiosError(error, "视频任务创建失败"));
    }
 }

-async function requestSeedanceGeneration(config: AiConfig, model: string, prompt: string, references: ReferenceImage[], videoReferences: ReferenceVideo[], audioReferences: ReferenceAudio[]) {
+async function pollOpenAIVideoTask(config: AiConfig, task: VideoGenerationTask): Promise<VideoGenerationTaskState> {
+    try {
+        const video = unwrapVideoResponse((await axios.get<ApiVideoResponse>(aiApiUrl(config, `/videos/${task.id}`), { headers: aiHeaders(config), params: config.channelMode === "remote" ? { model: task.model } : undefined })).data);
+        if (video.status === "completed") {
+            const content = await axios.get<Blob>(aiApiUrl(config, `/videos/${task.id}/content`), { headers: aiHeaders(config), params: config.channelMode === "remote" ? { model: task.model } : undefined, responseType: "blob" });
+            await assertVideoBlob(content.data);
+            refreshRemoteUser(config);
+            return { status: "completed", result: { blob: content.data } };
+        }
+        if (video.status === "failed" || video.status === "cancelled") return { status: "failed", error: video.error?.message || "视频生成失败" };
+        return { status: "pending" };
+    } catch (error) {
+        throw new Error(readAxiosError(error, "视频任务查询失败"));
+    }
+}
+
+async function createSeedanceTask(config: AiConfig, model: string, prompt: string, references: ReferenceImage[], videoReferences: ReferenceVideo[], audioReferences: ReferenceAudio[]): Promise<VideoGenerationTask> {
    if (audioReferences.length && !references.length && !videoReferences.length) {
        throw new Error("Seedance 参考音频不能单独使用，请同时添加参考图或参考视频");
    }
@@ -111,21 +137,25 @@ async function requestSeedanceGeneration(config: AiConfig, model: string, prompt
    try {
        const created = unwrapSeedanceTask((await axios.post<ApiEnvelope<SeedanceTask>>(seedanceApiUrl(config), payload, { headers: aiHeaders(config, "application/json") })).data);
        if (!created.id) throw new Error("Seedance 接口没有返回任务 ID");
-        for (let attempt = 0; attempt < 120; attempt += 1) {
-            const task = unwrapSeedanceTask((await axios.get<ApiEnvelope<SeedanceTask>>(seedanceApiUrl(config, created.id), { headers: aiHeaders(config), params: config.channelMode === "remote" ? { model } : undefined })).data);
-            if (task.status === "succeeded") {
-                const url = task.content?.video_url;
-                if (!url) throw new Error("Seedance 任务成功但没有返回视频 URL");
-                refreshRemoteUser(config);
-                return videoResultFromUrl(url);
-            }
-            if (task.status === "failed" || task.status === "cancelled" || task.status === "expired") throw new Error(task.error?.message || `Seedance 视频生成${task.status === "expired" ? "超时" : "失败"}`);
-            if (attempt === 119) throw new Error("Seedance 视频生成超时，请稍后重试");
-            await delay(5000);
-        }
-        throw new Error("Seedance 视频生成超时，请稍后重试");
+        return { id: created.id, provider: "seedance", model };
    } catch (error) {
-        throw new Error(readAxiosError(error, "Seedance 视频生成失败"));
+        throw new Error(readAxiosError(error, "Seedance 任务创建失败"));
+    }
+}
+
+async function pollSeedanceTask(config: AiConfig, task: VideoGenerationTask): Promise<VideoGenerationTaskState> {
+    try {
+        const state = unwrapSeedanceTask((await axios.get<ApiEnvelope<SeedanceTask>>(seedanceApiUrl(config, task.id), { headers: aiHeaders(config), params: config.channelMode === "remote" ? { model: task.model } : undefined })).data);
+        if (state.status === "succeeded") {
+            const url = state.content?.video_url;
+            if (!url) return { status: "failed", error: "Seedance 任务成功但没有返回视频 URL" };
+            refreshRemoteUser(config);
+            return { status: "completed", result: await videoResultFromUrl(url) };
+        }
+        if (state.status === "failed" || state.status === "cancelled" || state.status === "expired") return { status: "failed", error: state.error?.message || `Seedance 视频生成${state.status === "expired" ? "超时" : "失败"}` };
+        return { status: "pending" };
+    } catch (error) {
+        throw new Error(readAxiosError(error, "Seedance 任务查询失败"));
    }
 }

@@ -0,0 +1,394 @@
+"use client";
+
+import localforage from "localforage";
+
+import { getMediaBlob, resolveMediaUrl, setMediaBlob } from "@/services/file-storage";
+import { getImageBlob, resolveImageUrl, setImageBlob } from "@/services/image-storage";
+import { downloadWebdavFile, uploadWebdavFile, WEBDAV_MANIFEST_FILE_NAME } from "@/services/webdav-sync";
+import type { Asset } from "@/stores/use-asset-store";
+import { useAssetStore } from "@/stores/use-asset-store";
+import type { WebdavSyncConfig } from "@/stores/use-config-store";
+import type { CanvasProject } from "@/app/(user)/canvas/stores/use-canvas-store";
+import { useCanvasStore } from "@/app/(user)/canvas/stores/use-canvas-store";
+
+type StoredLog = Record<string, unknown> & { id?: string };
+export type AppSyncDomainKey = "canvas" | "assets" | "image-workbench" | "video-workbench";
+type DomainKey = AppSyncDomainKey;
+type CanvasDomainData = { projects: CanvasProject[] };
+type AssetDomainData = { assets: Asset[] };
+type LogDomainData = { logs: StoredLog[] };
+
+type AppSyncFile = {
+    storageKey: string;
+    path: string;
+    mimeType: string;
+    bytes: number;
+};
+
+type DomainManifest<T> = {
+    app: "infinite-canvas";
+    version: 1;
+    domain: DomainKey;
+    exportedAt: string;
+    data: T;
+    files: AppSyncFile[];
+};
+
+type SyncDomainOptions<T> = {
+    key: DomainKey;
+    label: string;
+    localData: () => Promise<T>;
+    emptyData: T;
+    mergeData: (local: T, remote: T) => T;
+    applyData?: (data: T) => Promise<void>;
+};
+
+type SyncDomainResult<T> = {
+    data: T;
+    mergedRemote: boolean;
+    files: number;
+    manifestBytes: number;
+    uploadedFiles: number;
+    uploadedBytes: number;
+};
+
+export type AppSyncResult = {
+    syncedAt: string;
+    mergedRemote: boolean;
+    projects: number;
+    assets: number;
+    imageLogs: number;
+    videoLogs: number;
+    files: number;
+    manifestBytes: number;
+    uploadedFiles: number;
+    uploadedBytes: number;
+};
+
+export type AppSyncProgressEvent = {
+    domain?: AppSyncDomainKey;
+    label?: string;
+    stage: string;
+    current?: number;
+    total?: number;
+    status?: "active" | "success" | "exception";
+};
+
+export type AppSyncProgress = (event: AppSyncProgressEvent) => void;
+
+const FILE_CONCURRENCY = 3;
+const imageLogStore = localforage.createInstance({ name: "infinite-canvas", storeName: "image_generation_logs" });
+const videoLogStore = localforage.createInstance({ name: "infinite-canvas", storeName: "video_generation_logs" });
+type LogStore = typeof imageLogStore;
+const storageKeyPattern = /^(image|video|audio|file|video-reference|audio-reference):/;
+
+export async function syncAppDataToWebdav(config: WebdavSyncConfig, onProgress?: AppSyncProgress): Promise<AppSyncResult> {
+    emitProgress(onProgress, { stage: "等待本地数据加载" });
+    await Promise.all([waitForHydration(useCanvasStore), waitForHydration(useAssetStore)]);
+
+    const [canvas, assets, imageLogs, videoLogs] = await Promise.all([
+        syncDomain<CanvasDomainData>(config, onProgress, {
+            key: "canvas",
+            label: "画布",
+            emptyData: { projects: [] },
+            localData: async () => ({ projects: useCanvasStore.getState().projects }),
+            mergeData: (local, remote) => ({ projects: mergeById(local.projects, remote.projects, "updatedAt") }),
+            applyData: async (data) => useCanvasStore.getState().replaceProjects(data.projects),
+        }),
+        syncDomain<AssetDomainData>(config, onProgress, {
+            key: "assets",
+            label: "我的素材",
+            emptyData: { assets: [] },
+            localData: async () => ({ assets: useAssetStore.getState().assets }),
+            mergeData: (local, remote) => ({ assets: mergeById(local.assets, remote.assets, "updatedAt") }),
+            applyData: async (data) => useAssetStore.getState().replaceAssets(await Promise.all(data.assets.map(hydrateAsset))),
+        }),
+        syncDomain<LogDomainData>(config, onProgress, {
+            key: "image-workbench",
+            label: "生图工作台",
+            emptyData: { logs: [] },
+            localData: async () => ({ logs: await readStoredLogs(imageLogStore) }),
+            mergeData: (local, remote) => ({ logs: mergeById(local.logs, remote.logs, "createdAt") }),
+            applyData: async (data) => replaceStoredLogs(imageLogStore, data.logs),
+        }),
+        syncDomain<LogDomainData>(config, onProgress, {
+            key: "video-workbench",
+            label: "视频创作台",
+            emptyData: { logs: [] },
+            localData: async () => ({ logs: await readStoredLogs(videoLogStore) }),
+            mergeData: (local, remote) => ({ logs: mergeById(local.logs, remote.logs, "createdAt") }),
+            applyData: async (data) => replaceStoredLogs(videoLogStore, data.logs),
+        }),
+    ]);
+
+    const result = {
+        syncedAt: new Date().toISOString(),
+        mergedRemote: [canvas, assets, imageLogs, videoLogs].some((item) => item.mergedRemote),
+        projects: canvas.data.projects.length,
+        assets: assets.data.assets.length,
+        imageLogs: imageLogs.data.logs.length,
+        videoLogs: videoLogs.data.logs.length,
+        files: canvas.files + assets.files + imageLogs.files + videoLogs.files,
+        manifestBytes: canvas.manifestBytes + assets.manifestBytes + imageLogs.manifestBytes + videoLogs.manifestBytes,
+        uploadedFiles: canvas.uploadedFiles + assets.uploadedFiles + imageLogs.uploadedFiles + videoLogs.uploadedFiles,
+        uploadedBytes: canvas.uploadedBytes + assets.uploadedBytes + imageLogs.uploadedBytes + videoLogs.uploadedBytes,
+    };
+    emitProgress(onProgress, { stage: "同步完成", status: "success" });
+    return result;
+}
+
+async function syncDomain<T>(config: WebdavSyncConfig, onProgress: AppSyncProgress | undefined, options: SyncDomainOptions<T>): Promise<SyncDomainResult<T>> {
+    try {
+        emitProgress(onProgress, { domain: options.key, label: options.label, stage: "读取远端清单", status: "active" });
+        const remoteManifest = await readDomainManifest(config, options.key, options.emptyData);
+        emitProgress(onProgress, { domain: options.key, label: options.label, stage: "读取本地数据", status: "active" });
+        const localData = await options.localData();
+        const mergedData = remoteManifest ? options.mergeData(localData, remoteManifest.data) : localData;
+
+        if (remoteManifest) {
+            emitProgress(onProgress, { domain: options.key, label: options.label, stage: "下载缺失媒体", status: "active" });
+            await downloadMissingFiles(config, options.key, mergedData, remoteManifest.files, onProgress);
+            emitProgress(onProgress, { domain: options.key, label: options.label, stage: "写入本地合并结果", status: "active" });
+            await options.applyData?.(mergedData);
+        }
+
+        emitProgress(onProgress, { domain: options.key, label: options.label, stage: "上传新增媒体", status: "active" });
+        const uploaded = await uploadChangedFiles(config, options.key, mergedData, remoteManifest?.files || [], onProgress);
+        const manifest: DomainManifest<T> = { app: "infinite-canvas", version: 1, domain: options.key, exportedAt: new Date().toISOString(), data: mergedData, files: uploaded.files };
+        const manifestFile = new Blob([JSON.stringify(manifest, null, 2)], { type: "application/json" });
+        emitProgress(onProgress, { domain: options.key, label: options.label, stage: `上传清单 ${formatBytes(manifestFile.size)}`, status: "active" });
+        await uploadWebdavFile(config, domainPath(options.key, WEBDAV_MANIFEST_FILE_NAME), manifestFile, "application/json");
+        emitProgress(onProgress, { domain: options.key, label: options.label, stage: "完成", current: 1, total: 1, status: "success" });
+
+        return {
+            data: mergedData,
+            mergedRemote: Boolean(remoteManifest),
+            files: uploaded.files.length,
+            manifestBytes: manifestFile.size,
+            uploadedFiles: uploaded.uploadedFiles,
+            uploadedBytes: uploaded.uploadedBytes,
+        };
+    } catch (error) {
+        emitProgress(onProgress, { domain: options.key, label: options.label, stage: error instanceof Error ? error.message : "同步失败", status: "exception" });
+        throw error;
+    }
+}
+
+async function readDomainManifest<T>(config: WebdavSyncConfig, domain: DomainKey, emptyData: T): Promise<DomainManifest<T> | null> {
+    const file = await downloadWebdavFile(config, domainPath(domain, WEBDAV_MANIFEST_FILE_NAME));
+    if (!file) return null;
+    const data = JSON.parse(await file.text()) as DomainManifest<T>;
+    if (data.app !== "infinite-canvas" || data.domain !== domain) throw new Error(`${domain} 同步清单不是当前应用的数据`);
+    return {
+        app: "infinite-canvas",
+        version: 1,
+        domain,
+        exportedAt: data.exportedAt || new Date().toISOString(),
+        data: data.data || emptyData,
+        files: Array.isArray(data.files) ? data.files : [],
+    };
+}
+
+async function downloadMissingFiles<T>(config: WebdavSyncConfig, domain: DomainKey, data: T, remoteFiles: AppSyncFile[], onProgress?: AppSyncProgress) {
+    const remoteFileMap = new Map(remoteFiles.map((item) => [item.storageKey, item]));
+    const tasks: AppSyncFile[] = [];
+    const storageKeys = collectStorageKeys(data);
+    let scanned = 0;
+    for (const storageKey of storageKeys) {
+        const localBlob = storageKey.startsWith("image:") ? await getImageBlob(storageKey) : await getMediaBlob(storageKey);
+        scanned += 1;
+        if (localBlob) {
+            emitProgress(onProgress, { domain, label: domainLabel(domain), stage: "检查缺失媒体", current: scanned, total: storageKeys.length, status: "active" });
+            continue;
+        }
+        const remoteFile = remoteFileMap.get(storageKey);
+        if (remoteFile) tasks.push(remoteFile);
+        emitProgress(onProgress, { domain, label: domainLabel(domain), stage: "检查缺失媒体", current: scanned, total: storageKeys.length, status: "active" });
+    }
+    if (!tasks.length) {
+        emitProgress(onProgress, { domain, label: domainLabel(domain), stage: "媒体已齐全", current: 1, total: 1, status: "active" });
+        return;
+    }
+    let downloaded = 0;
+    await runWithConcurrency(tasks, FILE_CONCURRENCY, async (remoteFile) => {
+        const blob = await downloadWebdavFile(config, remoteFile.path);
+        if (!blob) return;
+        const typedBlob = blob.type ? blob : blob.slice(0, blob.size, remoteFile.mimeType);
+        await (remoteFile.storageKey.startsWith("image:") ? setImageBlob(remoteFile.storageKey, typedBlob) : setMediaBlob(remoteFile.storageKey, typedBlob));
+        downloaded += 1;
+        emitProgress(onProgress, { domain, label: domainLabel(domain), stage: "下载媒体", current: downloaded, total: tasks.length, status: "active" });
+    });
+}
+
+async function uploadChangedFiles<T>(config: WebdavSyncConfig, domain: DomainKey, data: T, remoteFiles: AppSyncFile[], onProgress?: AppSyncProgress) {
+    const remoteFileMap = new Map(remoteFiles.map((item) => [item.storageKey, item]));
+    const files: AppSyncFile[] = [];
+    const tasks: Array<{ item: AppSyncFile; blob: Blob }> = [];
+    let uploadedFiles = 0;
+    let uploadedBytes = 0;
+
+    const storageKeys = collectStorageKeys(data);
+    let scanned = 0;
+    for (const storageKey of storageKeys) {
+        const blob = storageKey.startsWith("image:") ? await getImageBlob(storageKey) : await getMediaBlob(storageKey);
+        const remoteFile = remoteFileMap.get(storageKey);
+        if (!blob) {
+            if (remoteFile) files.push(remoteFile);
+            scanned += 1;
+            emitProgress(onProgress, { domain, label: domainLabel(domain), stage: "检查本地媒体", current: scanned, total: storageKeys.length, status: "active" });
+            continue;
+        }
+        const item: AppSyncFile = {
+            storageKey,
+            path: remoteFile?.path || domainPath(domain, `files/${safeFileName(storageKey)}.${fileExtension(blob.type, storageKey)}`),
+            mimeType: blob.type || remoteFile?.mimeType || "application/octet-stream",
+            bytes: blob.size,
+        };
+        files.push(item);
+        if (!remoteFile || remoteFile.bytes !== blob.size) tasks.push({ item, blob });
+        scanned += 1;
+        emitProgress(onProgress, { domain, label: domainLabel(domain), stage: "检查本地媒体", current: scanned, total: storageKeys.length, status: "active" });
+    }
+
+    if (!tasks.length) {
+        emitProgress(onProgress, { domain, label: domainLabel(domain), stage: "媒体无需上传", current: 1, total: 1, status: "active" });
+        return { files, uploadedFiles, uploadedBytes };
+    }
+
+    await runWithConcurrency(tasks, FILE_CONCURRENCY, async ({ item, blob }) => {
+        await uploadWebdavFile(config, item.path, blob, item.mimeType);
+        uploadedFiles += 1;
+        uploadedBytes += blob.size;
+        emitProgress(onProgress, { domain, label: domainLabel(domain), stage: `上传媒体 ${formatBytes(blob.size)}`, current: uploadedFiles, total: tasks.length, status: "active" });
+    });
+
+    return { files, uploadedFiles, uploadedBytes };
+}
+
+async function hydrateAsset(asset: Asset): Promise<Asset> {
+    if (asset.kind === "image" && asset.data.storageKey) {
+        const dataUrl = await resolveImageUrl(asset.data.storageKey, asset.data.dataUrl);
+        return { ...asset, coverUrl: asset.coverUrl.startsWith("blob:") ? dataUrl : asset.coverUrl, data: { ...asset.data, dataUrl } };
+    }
+    if (asset.kind === "video" && asset.data.storageKey) {
+        const url = await resolveMediaUrl(asset.data.storageKey, asset.data.url);
+        return { ...asset, coverUrl: asset.coverUrl.startsWith("blob:") ? url : asset.coverUrl, data: { ...asset.data, url } };
+    }
+    return asset;
+}
+
+async function readStoredLogs(store: LogStore) {
+    const logs: StoredLog[] = [];
+    await store.iterate<StoredLog, void>((value) => {
+        if (value && typeof value === "object") logs.push(value);
+    });
+    return logs;
+}
+
+async function replaceStoredLogs(store: LogStore, logs: StoredLog[]) {
+    await store.clear();
+    await runWithConcurrency(logs, FILE_CONCURRENCY, async (log) => {
+        const id = getStringField(log, "id");
+        if (id) await store.setItem(id, log);
+    });
+}
+
+function mergeById<T extends { id?: string }>(local: T[], remote: T[], timeKey: string) {
+    const items = new Map<string, T>();
+    remote.forEach((item) => {
+        const id = item.id || "";
+        if (id) items.set(id, item);
+    });
+    local.forEach((item) => {
+        const id = item.id || "";
+        if (!id) return;
+        const current = items.get(id);
+        if (!current || getTime(item as Record<string, unknown>, timeKey) >= getTime(current as Record<string, unknown>, timeKey)) items.set(id, item);
+    });
+    return Array.from(items.values()).sort((a, b) => getTime(b as Record<string, unknown>, timeKey) - getTime(a as Record<string, unknown>, timeKey));
+}
+
+function collectStorageKeys(value: unknown, keys = new Set<string>()) {
+    if (typeof value === "string") {
+        if (storageKeyPattern.test(value)) keys.add(value);
+        return [...keys];
+    }
+    if (!value || typeof value !== "object") return [...keys];
+    if ("storageKey" in value && typeof value.storageKey === "string" && storageKeyPattern.test(value.storageKey)) keys.add(value.storageKey);
+    Object.values(value).forEach((item) => (Array.isArray(item) ? item.forEach((child) => collectStorageKeys(child, keys)) : collectStorageKeys(item, keys)));
+    return [...keys];
+}
+
+function domainPath(domain: DomainKey, path: string) {
+    return `${domain}/${path}`;
+}
+
+function domainLabel(domain: DomainKey) {
+    if (domain === "canvas") return "画布";
+    if (domain === "assets") return "我的素材";
+    if (domain === "image-workbench") return "生图工作台";
+    return "视频创作台";
+}
+
+function emitProgress(onProgress: AppSyncProgress | undefined, event: AppSyncProgressEvent) {
+    onProgress?.(event);
+}
+
+function getStringField(item: Record<string, unknown>, key: string) {
+    const value = item[key];
+    return typeof value === "string" ? value : "";
+}
+
+function getTime(item: Record<string, unknown>, key: string) {
+    const value = item[key];
+    if (typeof value === "number") return value;
+    if (typeof value === "string") return Date.parse(value) || 0;
+    return 0;
+}
+
+function safeFileName(value: string) {
+    return value.replace(/[\\/:*?"<>|]/g, "_");
+}
+
+function fileExtension(mimeType: string, storageKey: string) {
+    if (mimeType.includes("png")) return "png";
+    if (mimeType.includes("jpeg")) return "jpg";
+    if (mimeType.includes("webp")) return "webp";
+    if (mimeType.includes("gif")) return "gif";
+    if (mimeType.includes("mp4")) return "mp4";
+    if (mimeType.includes("webm")) return "webm";
+    if (mimeType.includes("wav")) return "wav";
+    if (mimeType.includes("mpeg") || mimeType.includes("mp3")) return "mp3";
+    return storageKey.startsWith("image:") ? "png" : "bin";
+}
+
+function waitForHydration<T extends { hydrated: boolean }>(store: { getState: () => T; subscribe: (listener: (state: T) => void) => () => void }) {
+    if (store.getState().hydrated) return Promise.resolve();
+    return new Promise<void>((resolve) => {
+        const unsubscribe = store.subscribe((state) => {
+            if (!state.hydrated) return;
+            unsubscribe();
+            resolve();
+        });
+    });
+}
+
+async function runWithConcurrency<T, R>(items: T[], limit: number, worker: (item: T, index: number) => Promise<R>) {
+    const results = new Array<R>(items.length);
+    let nextIndex = 0;
+    await Promise.all(
+        Array.from({ length: Math.min(limit, items.length) }, async () => {
+            while (nextIndex < items.length) {
+                const index = nextIndex++;
+                results[index] = await worker(items[index], index);
+            }
+        }),
+    );
+    return results;
+}
+
+function formatBytes(bytes: number) {
+    if (bytes < 1024) return `${bytes}B`;
+    if (bytes < 1024 * 1024) return `${(bytes / 1024).toFixed(1)}KB`;
+    return `${(bytes / 1024 / 1024).toFixed(1)}MB`;
+}
@@ -0,0 +1,155 @@
+"use client";
+
+import type { WebdavSyncConfig } from "@/stores/use-config-store";
+
+export const WEBDAV_MANIFEST_FILE_NAME = "manifest.json";
+const WEBDAV_REQUEST_TIMEOUT_MS = 120000;
+const ensuredDirectories = new Set<string>();
+
+export async function testWebdavConnection(config: WebdavSyncConfig) {
+    await ensureWebdavDirectory(config);
+    const response = await webdavFetch(config, "", { method: "PROPFIND", headers: { Depth: "0" } });
+    if (response.ok || response.status === 207) return;
+    await throwWebdavError(response, "WebDAV 连接测试失败");
+}
+
+export async function downloadWebdavSyncFile(config: WebdavSyncConfig) {
+    return downloadWebdavFile(config, WEBDAV_MANIFEST_FILE_NAME);
+}
+
+export async function downloadWebdavFile(config: WebdavSyncConfig, path: string) {
+    await ensureWebdavDirectory(config);
+    const response = await webdavFetch(config, path, { method: "GET" });
+    if (response.status === 404) return null;
+    if (!response.ok) await throwWebdavError(response, "读取 WebDAV 同步文件失败");
+    const file = await withTimeout(response.blob(), "读取 WebDAV 同步文件超时");
+    return file.size ? file : null;
+}
+
+export async function uploadWebdavSyncFile(config: WebdavSyncConfig, file: Blob) {
+    return uploadWebdavFile(config, WEBDAV_MANIFEST_FILE_NAME, file, "application/json");
+}
+
+export async function uploadWebdavFile(config: WebdavSyncConfig, path: string, file: Blob, contentType = "application/octet-stream") {
+    if (!file.size) throw new Error("上传文件为空，已取消上传");
+    await ensureWebdavDirectory(config);
+    await ensureWebdavSubdirectory(config, path);
+    const response = await webdavFetch(config, path, {
+        method: "PUT",
+        headers: { "Content-Type": contentType },
+        body: file,
+    });
+    if (!response.ok) await throwWebdavError(response, "上传 WebDAV 同步文件失败");
+}
+
+async function ensureWebdavDirectory(config: WebdavSyncConfig) {
+    assertWebdavConfig(config);
+    await ensureWebdavDirectoryPath(config, config.directory);
+}
+
+async function ensureWebdavSubdirectory(config: WebdavSyncConfig, path: string) {
+    const directory = normalizePath(path).split("/").slice(0, -1).join("/");
+    if (!directory) return;
+    await ensureWebdavDirectoryPath(config, [config.directory, directory].filter(Boolean).join("/"));
+}
+
+async function ensureWebdavDirectoryPath(config: WebdavSyncConfig, directory: string) {
+    const parts = normalizePath(directory).split("/").filter(Boolean);
+    const cacheKey = `${config.proxyMode}:${config.url}:${parts.join("/")}`;
+    if (ensuredDirectories.has(cacheKey)) return;
+    let path = "";
+    for (const part of parts) {
+        path = path ? `${path}/${part}` : part;
+        const response = await webdavFetch({ ...config, directory: "" }, path, { method: "MKCOL" });
+        if (response.ok || ((response.status === 405 || response.status === 423) && (await webdavDirectoryExists(config, path)))) continue;
+        await throwWebdavError(response, "创建 WebDAV 远程目录失败");
+    }
+    ensuredDirectories.add(cacheKey);
+}
+
+async function webdavDirectoryExists(config: WebdavSyncConfig, path: string) {
+    const response = await webdavFetch({ ...config, directory: "" }, path, { method: "PROPFIND", headers: { Depth: "0" } });
+    return response.ok || response.status === 207;
+}
+
+async function webdavFetch(config: WebdavSyncConfig, path: string, init: RequestInit) {
+    const headers = new Headers(init.headers);
+    if (config.username || config.password) headers.set("Authorization", `Basic ${encodeBasicAuth(`${config.username}:${config.password}`)}`);
+    const controller = new AbortController();
+    const timer = window.setTimeout(() => controller.abort(), WEBDAV_REQUEST_TIMEOUT_MS);
+    try {
+        const url = buildWebdavUrl(config, path);
+        if (config.proxyMode === "nextjs") return await fetch("/webdav-proxy", { method: "POST", headers: proxyHeaders(url, init.method || "GET", headers), body: proxyBody(init), signal: controller.signal });
+        return await fetch(url, { ...init, headers, signal: controller.signal });
+    } catch (error) {
+        if (error instanceof Error && error.name === "AbortError") throw new Error("WebDAV 请求超时，请检查网络、代理或远端服务状态");
+        if (error instanceof TypeError) throw new Error("无法连接 WebDAV，请检查地址、HTTPS 证书、CORS 或网络状态");
+        throw error;
+    } finally {
+        window.clearTimeout(timer);
+    }
+}
+
+function proxyHeaders(target: string, method: string, headers: Headers) {
+    const proxyHeaders = new Headers({
+        "x-webdav-target": target,
+        "x-webdav-method": method,
+    });
+    copyProxyHeader(headers, proxyHeaders, "Authorization", "x-webdav-authorization");
+    copyProxyHeader(headers, proxyHeaders, "Depth", "x-webdav-depth");
+    copyProxyHeader(headers, proxyHeaders, "Destination", "x-webdav-destination");
+    copyProxyHeader(headers, proxyHeaders, "Overwrite", "x-webdav-overwrite");
+    copyProxyHeader(headers, proxyHeaders, "Content-Type", "x-webdav-content-type");
+    const contentType = headers.get("Content-Type");
+    if (contentType) proxyHeaders.set("Content-Type", contentType);
+    return proxyHeaders;
+}
+
+function copyProxyHeader(from: Headers, to: Headers, source: string, target: string) {
+    const value = from.get(source);
+    if (value) to.set(target, value);
+}
+
+function proxyBody(init: RequestInit) {
+    const method = (init.method || "GET").toUpperCase();
+    if (method === "GET" || method === "HEAD") return undefined;
+    return init.body || undefined;
+}
+
+function buildWebdavUrl(config: WebdavSyncConfig, path: string) {
+    const baseUrl = config.url.trim().replace(/\/+$/, "");
+    const remotePath = [normalizePath(config.directory), normalizePath(path)].filter(Boolean).join("/");
+    if (!remotePath) return baseUrl;
+    return `${baseUrl}/${remotePath.split("/").map(encodeURIComponent).join("/")}`;
+}
+
+function normalizePath(path: string) {
+    return path.trim().replace(/^\/+|\/+$/g, "");
+}
+
+function assertWebdavConfig(config: WebdavSyncConfig) {
+    if (!config.url.trim()) throw new Error("请先填写 WebDAV 地址");
+}
+
+async function throwWebdavError(response: Response, fallback: string): Promise<never> {
+    const detail = await response.text().catch(() => "");
+    if (response.status === 401 || response.status === 403) throw new Error("WebDAV 认证失败，请检查用户名、密码或应用密码");
+    if (response.status === 404) throw new Error("WebDAV 路径不存在，请检查地址和远程目录");
+    throw new Error(`${fallback}：${response.status}${detail ? ` ${detail.slice(0, 120)}` : ""}`);
+}
+
+function encodeBasicAuth(value: string) {
+    const bytes = new TextEncoder().encode(value);
+    let binary = "";
+    bytes.forEach((byte) => {
+        binary += String.fromCharCode(byte);
+    });
+    return btoa(binary);
+}
+
+function withTimeout<T>(promise: Promise<T>, message: string) {
+    return new Promise<T>((resolve, reject) => {
+        const timer = window.setTimeout(() => reject(new Error(message)), WEBDAV_REQUEST_TIMEOUT_MS);
+        promise.then(resolve, reject).finally(() => window.clearTimeout(timer));
+    });
+}
@@ -28,10 +28,12 @@ type AssetBase<T extends AssetKind> = {
 };

 type AssetStore = {
+    hydrated: boolean;
    assets: Asset[];
    addAsset: (asset: Omit<Asset, "id" | "createdAt" | "updatedAt">) => string;
    updateAsset: (id: string, patch: Partial<Omit<Asset, "id" | "createdAt">>) => void;
    removeAsset: (id: string) => void;
+    replaceAssets: (assets: Asset[]) => void;
    cleanupImages: (extra?: unknown) => void;
 };

@@ -66,6 +68,7 @@ const assetStorage: PersistStorage<AssetStore> = {
 export const useAssetStore = create<AssetStore>()(
    persist(
        (set, get) => ({
+            hydrated: false,
            assets: [],
            addAsset: (asset) => {
                const now = new Date().toISOString();
@@ -83,6 +86,7 @@ export const useAssetStore = create<AssetStore>()(
                    get().cleanupImages({ assets });
                    return { assets };
                }),
+            replaceAssets: (assets) => set({ assets }),
            cleanupImages: (extra) => {
                window.setTimeout(async () => {
                    const { useCanvasStore } = await import("@/app/(user)/canvas/stores/use-canvas-store");
@@ -95,6 +99,9 @@ export const useAssetStore = create<AssetStore>()(
            name: ASSET_STORE_KEY,
            storage: assetStorage,
            partialize: (state) => ({ assets: state.assets }) as StorageValue<AssetStore>["state"],
+            onRehydrateStorage: () => () => {
+                useAssetStore.setState({ hydrated: true });
+            },
        },
    ),
 );
@@ -36,6 +36,15 @@ export type AiConfig = {
    canvasImageCount: string;
 };

+export type WebdavSyncConfig = {
+    proxyMode: "direct" | "nextjs";
+    url: string;
+    username: string;
+    password: string;
+    directory: string;
+    lastSyncedAt: string;
+};
+
 export const CONFIG_STORE_KEY = "infinite-canvas:ai_config_store";
 export type ModelCapability = "image" | "video" | "text" | "audio";

@@ -68,13 +77,24 @@ export const defaultConfig: AiConfig = {
    canvasImageCount: "3",
 };

+export const defaultWebdavSyncConfig: WebdavSyncConfig = {
+    proxyMode: "direct",
+    url: "",
+    username: "",
+    password: "",
+    directory: "infinite-canvas",
+    lastSyncedAt: "",
+};
+
 type ConfigStore = {
    config: AiConfig;
+    webdav: WebdavSyncConfig;
    publicSettings: AdminPublicSettings | null;
    isPublicSettingsLoading: boolean;
    isConfigOpen: boolean;
    shouldPromptContinue: boolean;
    updateConfig: <K extends keyof AiConfig>(key: K, value: AiConfig[K]) => void;
+    updateWebdavConfig: <K extends keyof WebdavSyncConfig>(key: K, value: WebdavSyncConfig[K]) => void;
    loadPublicSettings: () => Promise<void>;
    isAiConfigReady: (config: AiConfig, model: string) => boolean;
    openConfigDialog: (shouldPromptContinue?: boolean) => void;
@@ -168,6 +188,7 @@ export const useConfigStore = create<ConfigStore>()(
    persist(
        (set, get) => ({
            config: defaultConfig,
+            webdav: defaultWebdavSyncConfig,
            publicSettings: null,
            isPublicSettingsLoading: false,
            isConfigOpen: false,
@@ -179,6 +200,13 @@ export const useConfigStore = create<ConfigStore>()(
                        [key]: value,
                    },
                })),
+            updateWebdavConfig: (key, value) =>
+                set((state) => ({
+                    webdav: {
+                        ...state.webdav,
+                        [key]: value,
+                    },
+                })),
            loadPublicSettings: async () => {
                if (get().isPublicSettingsLoading) return;
                set({ isPublicSettingsLoading: true });
@@ -195,12 +223,15 @@ export const useConfigStore = create<ConfigStore>()(
        }),
        {
            name: CONFIG_STORE_KEY,
-            partialize: (state) => ({ config: state.config }),
+            partialize: (state) => ({ config: state.config, webdav: state.webdav }),
            merge: (persisted, current) => {
-                const persistedConfig = ((persisted as Partial<ConfigStore>).config || {}) as Partial<AiConfig>;
+                const persistedState = (persisted || {}) as Partial<ConfigStore>;
+                const persistedConfig = (persistedState.config || {}) as Partial<AiConfig>;
+                const persistedWebdav = (persistedState.webdav || {}) as Partial<WebdavSyncConfig>;
                const config = { ...defaultConfig, ...persistedConfig };
                return {
                    ...current,
+                    webdav: { ...defaultWebdavSyncConfig, ...persistedWebdav },
                    config: {
                        ...config,
                        channelMode: config.channelMode || "remote",
Author	SHA1	Message	Date
HouYunFei	8aa3fad684	chore: update Docker image names to reflect new repository ownership	2026-06-08 15:30:08 +08:00
HouYunFei	22f256d1be	chore: update changelog for v0.2.5 release and bump version to v0.2.5	2026-06-08 15:27:33 +08:00
HouYunFei	8d0b5ecdb8	feat(video): implement video generation task creation and polling mechanism	2026-06-08 15:26:35 +08:00
HouYunFei	373229a04a	fix(canvas): resolve text node editing issues and improve textarea rendering	2026-06-08 15:11:16 +08:00
HouYunFei	39a1e859b1	feat(webdav): add WebDAV synchronization configuration and functionality	2026-06-08 14:59:30 +08:00
kunkun	dd9347e85d	Merge pull request #47 from YuSaZh/main ci: 增加 ARM 架构 Docker 镜像自动构建	2026-06-08 11:30:16 +08:00
YuSaZh	13418a4d26	ci: build docker images on native runners	2026-06-07 22:25:30 +09:00
YuSaZh	506378c308	ci: publish multi-arch docker images	2026-06-07 21:46:01 +09:00
HouYunFei	81b9a207b9	feat(toolbar): add image splitting feature to toolbar for generating sub-images	2026-06-07 12:25:52 +08:00
kunkun	3667557dc2	Merge pull request #37 from 1847123733/main 添加图像节点双击放大预览功能	2026-06-04 17:41:54 +08:00
HouYunFei	b05d759f20	chore: bump version from v0.2.3 to v0.2.4	2026-06-04 17:25:39 +08:00
HouYunFei	6d3b89c842	feat(toolbar): add reverse prompt feature to image node toolbar for generating prompt text	2026-06-04 17:25:30 +08:00
1847123733	eb050fc08a	Merge branch 'basketikun:main' into main	2026-06-04 17:15:17 +08:00
王鑫凯	72024c8138	feat(canvas): 添加图像节点预览功能 - 在CanvasNode组件中添加onViewImage回调属性 - 实现图像节点点击时触发预览功能 - 修复事件冒泡问题，确保图像预览操作不会触发其他交互	2026-06-04 17:13:28 +08:00
HouYunFei	51df099936	chore: bump version from v0.2.2 to v0.2.3	2026-06-04 17:03:54 +08:00
HouYunFei	96cca4d97c	feat(canvas): enhance configuration node with new input handling and reference selection features	2026-06-04 17:03:48 +08:00
kunkun	75d5af5d8c	Bump version from v0.2.1 to v0.2.2	2026-06-04 16:30:40 +08:00
HouYunFei	8a51cc609f	feat(toolbar): add mask editing feature to image node toolbar for localized modifications	2026-06-04 16:12:38 +08:00