Refine video canvas function replica

app/(admin)/settings/video-canvas/page.tsx

@@ -0,0 +1,15 @@
+import { redirect } from "next/navigation";
+import { requireAdmin } from "@/lib/middleware/admin";
+import { VideoCanvasSettingsClient } from "./video-canvas-settings-client";
+
+export const dynamic = "force-dynamic";
+
+export default async function VideoCanvasSettingsPage() {
+  try {
+    await requireAdmin();
+  } catch {
+    redirect("/");
+  }
+
+  return <VideoCanvasSettingsClient />;
+}

app/(admin)/settings/video-canvas/video-canvas-settings-client.tsx

@@ -0,0 +1,242 @@
+"use client";
+
+import { useEffect, useMemo, useState } from "react";
+import useSWR from "swr";
+import { toast } from "sonner";
+import { Button } from "@/components/ui/button";
+import {
+  Card,
+  CardContent,
+  CardDescription,
+  CardHeader,
+  CardTitle,
+} from "@/components/ui/card";
+import { Input } from "@/components/ui/input";
+import { Label } from "@/components/ui/label";
+import { Switch } from "@/components/ui/switch";
+import { Textarea } from "@/components/ui/textarea";
+import { fetcher } from "@/lib/utils";
+import {
+  type VideoCanvasFunctionConfig,
+  type VideoCanvasFunctionDefinition,
+  VIDEO_CANVAS_FUNCTION_CONFIG_KEY,
+  defaultVideoCanvasFunctionConfig,
+  normalizeVideoCanvasFunctionConfig,
+} from "@/lib/video-canvas/config";
+
+type SettingsResponse = {
+  setting?: {
+    value?: unknown;
+  };
+};
+
+const functionKindLabels: Record<VideoCanvasFunctionDefinition["kind"], string> = {
+  audio: "音频",
+  image: "图片生成",
+  "image-edit": "图片编辑",
+  multimodal: "多模态",
+  utility: "工具",
+  video: "视频生成",
+  workflow: "工作流",
+};
+
+export function VideoCanvasSettingsClient() {
+  const { data, isLoading, mutate } = useSWR<SettingsResponse>(
+    `/api/admin/settings?key=${VIDEO_CANVAS_FUNCTION_CONFIG_KEY}`,
+    fetcher,
+  );
+  const [config, setConfig] = useState<VideoCanvasFunctionConfig>(defaultVideoCanvasFunctionConfig);
+  const [saving, setSaving] = useState(false);
+
+  useEffect(() => {
+    if (!data) return;
+    setConfig(normalizeVideoCanvasFunctionConfig(data.setting?.value));
+  }, [data]);
+
+  const functions = useMemo(
+    () =>
+      Object.values(config.functions).sort((a, b) => {
+        const kindCompare = a.kind.localeCompare(b.kind);
+        return kindCompare || a.label.localeCompare(b.label);
+      }),
+    [config.functions],
+  );
+
+  const updateRoot = (updates: Partial<VideoCanvasFunctionConfig>) => {
+    setConfig((current) => ({ ...current, ...updates }));
+  };
+
+  const updateFunction = (
+    key: string,
+    updates: Partial<VideoCanvasFunctionDefinition>,
+  ) => {
+    setConfig((current) => ({
+      ...current,
+      functions: {
+        ...current.functions,
+        [key]: {
+          ...current.functions[key],
+          ...updates,
+        },
+      },
+    }));
+  };
+
+  const save = async () => {
+    setSaving(true);
+    try {
+      const response = await fetch("/api/admin/settings", {
+        method: "POST",
+        headers: { "Content-Type": "application/json" },
+        body: JSON.stringify({
+          key: VIDEO_CANVAS_FUNCTION_CONFIG_KEY,
+          value: config,
+        }),
+      });
+      const payload = await response.json().catch(() => ({}));
+      if (!response.ok) {
+        throw new Error(payload?.message || payload?.error || "保存失败");
+      }
+      toast.success("视频画布功能配置已保存");
+      await mutate();
+    } catch (error) {
+      toast.error(error instanceof Error ? error.message : "保存失败");
+    } finally {
+      setSaving(false);
+    }
+  };
+
+  const resetToDefault = () => {
+    setConfig(defaultVideoCanvasFunctionConfig);
+    toast.info("已恢复默认配置，保存后生效");
+  };
+
+  return (
+    <main className="mx-auto flex w-full max-w-7xl flex-col gap-6 px-6 py-8">
+      <div className="flex flex-col gap-4 md:flex-row md:items-start md:justify-between">
+        <div>
+          <h1 className="text-2xl font-semibold tracking-tight">视频画布功能设置</h1>
+          <p className="mt-2 max-w-3xl text-sm text-muted-foreground">
+            这里集中配置复刻画布里的工具能力、预设提示词、默认模型和扣点。前端优先按复刻目标触发，后端缺口可以先留空或后续替换。
+          </p>
+        </div>
+        <div className="flex gap-2">
+          <Button disabled={saving || isLoading} onClick={resetToDefault} type="button" variant="outline">
+            恢复默认
+          </Button>
+          <Button disabled={saving || isLoading} onClick={save} type="button">
+            {saving ? "保存中..." : "保存配置"}
+          </Button>
+        </div>
+      </div>
+
+      <Card>
+        <CardHeader className="flex flex-col gap-4 md:flex-row md:items-start md:justify-between">
+          <div>
+            <CardTitle className="text-xl">全局模型与开关</CardTitle>
+            <CardDescription>
+              默认模型可填写现有后端的模型标识；保持 auto 时由各接口按当前可用模型选择。
+            </CardDescription>
+          </div>
+          <div className="flex items-center gap-3">
+            <Label htmlFor="video-canvas-enabled">启用视频画布功能串联</Label>
+            <Switch
+              checked={config.enabled}
+              id="video-canvas-enabled"
+              onCheckedChange={(checked) => updateRoot({ enabled: checked })}
+            />
+          </div>
+        </CardHeader>
+        <CardContent className="grid gap-4 md:grid-cols-3">
+          <div className="space-y-2">
+            <Label htmlFor="defaultImageModel">默认图片/编辑模型</Label>
+            <Input
+              id="defaultImageModel"
+              onChange={(event) => updateRoot({ defaultImageModel: event.target.value })}
+              value={config.defaultImageModel}
+            />
+          </div>
+          <div className="space-y-2">
+            <Label htmlFor="defaultVideoModel">默认视频模型</Label>
+            <Input
+              id="defaultVideoModel"
+              onChange={(event) => updateRoot({ defaultVideoModel: event.target.value })}
+              value={config.defaultVideoModel}
+            />
+          </div>
+          <div className="space-y-2">
+            <Label htmlFor="defaultMultimodalModel">默认多模态模型</Label>
+            <Input
+              id="defaultMultimodalModel"
+              onChange={(event) => updateRoot({ defaultMultimodalModel: event.target.value })}
+              value={config.defaultMultimodalModel}
+            />
+          </div>
+        </CardContent>
+      </Card>
+
+      <div className="grid gap-4">
+        {functions.map((item) => (
+          <Card className={!item.enabled ? "opacity-70" : undefined} key={item.key}>
+            <CardHeader className="space-y-4">
+              <div className="flex flex-col gap-3 md:flex-row md:items-start md:justify-between">
+                <div>
+                  <CardTitle className="flex flex-wrap items-center gap-2 text-base">
+                    <span>{item.label}</span>
+                    <span className="rounded-full bg-muted px-2 py-0.5 text-xs font-normal text-muted-foreground">
+                      {functionKindLabels[item.kind]}
+                    </span>
+                    <span className="rounded-full bg-muted px-2 py-0.5 text-xs font-normal text-muted-foreground">
+                      {item.route}
+                    </span>
+                  </CardTitle>
+                  <CardDescription className="mt-2">{item.description}</CardDescription>
+                </div>
+                <div className="flex items-center gap-3">
+                  <Label htmlFor={`enabled-${item.key}`}>启用</Label>
+                  <Switch
+                    checked={item.enabled}
+                    id={`enabled-${item.key}`}
+                    onCheckedChange={(checked) => updateFunction(item.key, { enabled: checked })}
+                  />
+                </div>
+              </div>
+              <div className="grid gap-4 md:grid-cols-[1fr_120px]">
+                <div className="space-y-2">
+                  <Label htmlFor={`model-${item.key}`}>模型覆盖</Label>
+                  <Input
+                    id={`model-${item.key}`}
+                    onChange={(event) => updateFunction(item.key, { model: event.target.value })}
+                    placeholder="留空使用全局默认模型"
+                    value={item.model || ""}
+                  />
+                </div>
+                <div className="space-y-2">
+                  <Label htmlFor={`credit-${item.key}`}>扣点</Label>
+                  <Input
+                    id={`credit-${item.key}`}
+                    min={0}
+                    onChange={(event) =>
+                      updateFunction(item.key, { creditCost: Number(event.target.value || 0) })
+                    }
+                    type="number"
+                    value={item.creditCost ?? 0}
+                  />
+                </div>
+              </div>
+            </CardHeader>
+            <CardContent>
+              <Label htmlFor={`prompt-${item.key}`}>预设提示词 / 规则</Label>
+              <Textarea
+                className="mt-2 min-h-28"
+                id={`prompt-${item.key}`}
+                onChange={(event) => updateFunction(item.key, { prompt: event.target.value })}
+                value={item.prompt}
+              />
+            </CardContent>
+          </Card>
+        ))}
+      </div>
+    </main>
+  );
+}

app/api/admin/settings/route.ts

@@ -38,6 +38,10 @@ import {
   normalizeThreeDModelAliasConfig,
   THREED_MODEL_ALIAS_CONFIG_SETTING_KEY,
 } from "@/lib/model3d/model-alias-config";
+import {
+  normalizeVideoCanvasFunctionConfig,
+  VIDEO_CANVAS_FUNCTION_CONFIG_KEY,
+} from "@/lib/video-canvas/config";
 
 const settingSchema = z.object({
   key: z.string(),
@@ -196,6 +200,10 @@ export async function POST(request: Request) {
       nextValue = normalizedValue;
     }
 
+    if (key === VIDEO_CANVAS_FUNCTION_CONFIG_KEY) {
+      nextValue = normalizeVideoCanvasFunctionConfig(value);
+    }
+
     if (key === THIRD_PARTY_SQLSERVER_CONFIG_KEY) {
       const existingSetting = await getSystemSetting({
         key: THIRD_PARTY_SQLSERVER_CONFIG_KEY,

app/api/video-canvas/config/route.ts

@@ -0,0 +1,17 @@
+import { getSystemSetting } from "@/lib/db/queries";
+import {
+  VIDEO_CANVAS_FUNCTION_CONFIG_KEY,
+  defaultVideoCanvasFunctionConfig,
+  normalizeVideoCanvasFunctionConfig,
+} from "@/lib/video-canvas/config";
+
+export const dynamic = "force-dynamic";
+
+export async function GET() {
+  const setting = await getSystemSetting({ key: VIDEO_CANVAS_FUNCTION_CONFIG_KEY }).catch(() => null);
+  const config = setting?.value
+    ? normalizeVideoCanvasFunctionConfig(setting.value)
+    : defaultVideoCanvasFunctionConfig;
+
+  return Response.json({ config });
+}

components/canvas/LiblibVideoCanvasReplica.tsx

@@ -44,7 +44,18 @@ import { toast } from "sonner";
 import useSWR from "swr";
 import capturedCanvasModules from "@/artifacts/liblib-frontend-capture-ed9a2c12570a49b9a1186017b2c38b52/canvas-modules.json";
 import { cn, fetcher } from "@/lib/utils";
-import { canvasService } from "@/services/canvas";
+import {
+  canvasService,
+  imageGenerationService,
+  videoGenerationService,
+  workflowAnalysisService,
+} from "@/services/canvas";
+import {
+  type VideoCanvasFunctionConfig,
+  type VideoCanvasFunctionDefinition,
+  defaultVideoCanvasFunctionConfig,
+  normalizeVideoCanvasFunctionConfig,
+} from "@/lib/video-canvas/config";
 
 type ActivePanel =
   | "add"
@@ -371,7 +382,8 @@ const OFFICIAL_NODE_GAP = 100;
 const OFFICIAL_TEXT_RESOURCE_HEIGHT = 232;
 const OFFICIAL_TEXT_RESOURCE_WIDTH = 350;
 const OFFICIAL_IMAGE_TOOLBAR_SCALE = 0.7;
-const OFFICIAL_COMPOSER_SCALE = 1;
+const OFFICIAL_COMPOSER_SCALE = 0.42;
+const OFFICIAL_ZOOM_DOCK_SCALE = 0.5;
 const PROMPT_COMPOSER_BASE_WIDTH = 895;
 const PROMPT_COMPOSER_BASE_HEIGHT = 286;
 const PRESET_COMPOSER_BASE_HEIGHT = 238;
@@ -1138,6 +1150,45 @@ function getNodeSourceMediaUrl(node: CloneNode | null | undefined) {
   return getDraftString(node, "sourceUrl") || getNodeMediaUrl(node);
 }
 
+function getConfiguredFunction(
+  config: VideoCanvasFunctionConfig,
+  key: string,
+): VideoCanvasFunctionDefinition {
+  return config.functions[key] || defaultVideoCanvasFunctionConfig.functions[key];
+}
+
+function getFunctionModel(
+  config: VideoCanvasFunctionConfig,
+  definition: VideoCanvasFunctionDefinition,
+) {
+  const fallback =
+    definition.kind === "video"
+      ? config.defaultVideoModel
+      : definition.kind === "multimodal"
+        ? config.defaultMultimodalModel
+        : config.defaultImageModel;
+  const model = (definition.model || fallback || "").trim();
+  return model && model !== "auto" ? model : undefined;
+}
+
+function composeFunctionPrompt(
+  definition: VideoCanvasFunctionDefinition,
+  userPrompt?: string,
+) {
+  const base = definition.prompt.trim();
+  const extra = String(userPrompt || "").trim();
+  if (!base) return extra;
+  if (!extra || extra === base) return base;
+  return `${base}\n\n用户补充：${extra}`;
+}
+
+function getFirstGeneratedImageUrl(
+  response: Awaited<ReturnType<typeof imageGenerationService.generateImage>>,
+) {
+  const first = response.data?.images?.[0];
+  return first?.originalUrl || first?.thumbnailUrl || "";
+}
+
 function createEqualGridRects(rows: number, columns: number): GridCropRect[] {
   return Array.from({ length: rows * columns }).map((_, index) => {
     const column = index % columns;
@@ -1669,6 +1720,14 @@ export function LiblibVideoCanvasReplica({ canvasId, isLoading = false }: Liblib
   const canvasRef = useRef<HTMLDivElement | null>(null);
   const dragRef = useRef<DragState | null>(null);
   const { data: siteBrandSettings } = useSWR<SiteBrandSettings>("/api/site-settings", fetcher);
+  const { data: videoCanvasFunctionSettings } = useSWR<{ config?: VideoCanvasFunctionConfig }>(
+    "/api/video-canvas/config",
+    fetcher
+  );
+  const videoCanvasFunctionConfig = useMemo(
+    () => normalizeVideoCanvasFunctionConfig(videoCanvasFunctionSettings?.config),
+    [videoCanvasFunctionSettings?.config]
+  );
   const [nodes, setNodes] = useState<CloneNode[]>([]);
   const [edges, setEdges] = useState<CloneEdge[]>([]);
   const [selectedNodeId, setSelectedNodeId] = useState<string | null>(null);
@@ -2435,7 +2494,8 @@ export function LiblibVideoCanvasReplica({ canvasId, isLoading = false }: Liblib
       const title = labels[action];
       if (action === "grid") {
         const { columns, rows } = normalizeGridOption(option || "9宫格");
-        const gridNode = createNineGridCompositeNode({
+        const gridDefinition = getConfiguredFunction(videoCanvasFunctionConfig, "multi-view-nine-grid");
+        let gridNode = createNineGridCompositeNode({
           anchor,
           columns,
           option,
@@ -2444,6 +2504,33 @@ export function LiblibVideoCanvasReplica({ canvasId, isLoading = false }: Liblib
           x: rightX,
           y: centerY(347),
         });
+        if (videoCanvasFunctionConfig.enabled && gridDefinition?.enabled) {
+          const prompt = composeFunctionPrompt(gridDefinition, option);
+          const response = await imageGenerationService.generateImage({
+            aspectRatio: "16:9",
+            imageCount: 1,
+            model: getFunctionModel(videoCanvasFunctionConfig, gridDefinition),
+            prompt,
+            referenceImage: sourceUrl,
+          });
+          const generatedUrl = response.success ? getFirstGeneratedImageUrl(response) : "";
+          if (generatedUrl) {
+            gridNode = {
+              ...gridNode,
+              draftValues: {
+                ...(gridNode.draftValues || {}),
+                generated: true,
+                mediaUrl: generatedUrl,
+                prompt,
+                sourceNodeId: anchor.id,
+                sourceUrl,
+                url: [generatedUrl],
+              },
+            };
+          } else if (!response.success) {
+            toast.error(response.error || "九宫格生成失败，已保留可切分占位节点");
+          }
+        }
         setNodes((current) => [...current, gridNode]);
         setEdges((current) => [...current, { id: makeId("edge"), source: anchor.id, target: gridNode.id }]);
         setSelectedNodeId(gridNode.id);
@@ -2455,8 +2542,92 @@ export function LiblibVideoCanvasReplica({ canvasId, isLoading = false }: Liblib
         return;
       }
 
+      const functionKey =
+        action === "lighting"
+          ? "lighting"
+          : action === "panorama"
+            ? "panorama-720"
+            : /扩/.test(option || "")
+              ? "image-outpaint"
+              : /重绘/.test(option || "")
+                ? "image-repaint"
+                : /擦/.test(option || "")
+                  ? "image-erase"
+                  : /抠/.test(option || "")
+                    ? "remove-bg"
+                    : "hd-upscale";
+      const definition = getConfiguredFunction(videoCanvasFunctionConfig, functionKey);
+      const prompt = composeFunctionPrompt(definition, option?.trim() || title);
+
+      if (videoCanvasFunctionConfig.enabled && definition?.enabled) {
+        let generatedUrl = "";
+        if (definition.route === "enhance") {
+          const response = await imageGenerationService.enhanceImage(sourceUrl);
+          generatedUrl = response.success ? response.data?.url || "" : "";
+          if (!generatedUrl && !response.success) toast.error(response.error || "高清处理失败");
+        } else if (definition.route === "extend") {
+          const response = await imageGenerationService.extendImage(sourceUrl, { prompt });
+          generatedUrl = response.success ? response.data?.url || "" : "";
+          if (!generatedUrl && !response.success) toast.error(response.error || "扩图处理失败");
+        } else if (definition.route === "remove-bg") {
+          const response = await imageGenerationService.removeBackground(sourceUrl);
+          generatedUrl = response.success ? response.data?.url || "" : "";
+          if (!generatedUrl && !response.success) toast.error(response.error || "抠图处理失败");
+        } else if (definition.route === "canvas-generate-image") {
+          const response = await imageGenerationService.generateImage({
+            aspectRatio: "16:9",
+            imageCount: 1,
+            model: getFunctionModel(videoCanvasFunctionConfig, definition),
+            prompt,
+            referenceImage: sourceUrl,
+          });
+          generatedUrl = response.success ? getFirstGeneratedImageUrl(response) : "";
+          if (!generatedUrl && !response.success) toast.error(response.error || `${definition.label}处理失败`);
+        }
+
+        if (generatedUrl) {
+          const resultNode = createMediaResourceNode({
+            action: "IMAGE_RESOURCE",
+            height: 280,
+            mediaType: "image",
+            mediaUrl: generatedUrl,
+            prompt,
+            title: definition.label || title,
+            width: 420,
+            x: rightX,
+            y: centerY(280),
+          });
+          setNodes((current) => [
+            ...current,
+            {
+              ...resultNode,
+              draftValues: {
+                ...(resultNode.draftValues || {}),
+                generated: true,
+                params: {
+                  mode: action,
+                  prompt,
+                  sourceNodeId: anchor.id,
+                  sourceUrl,
+                },
+                sourceNodeId: anchor.id,
+                sourceUrl,
+                toolbarOption: option || "",
+              },
+            },
+          ]);
+          setEdges((current) => [...current, { id: makeId("edge"), source: anchor.id, target: resultNode.id }]);
+          setSelectedNodeId(resultNode.id);
+          setCanvasCommand(null);
+          setNodeContextMenu(null);
+          setConnectionMenu(null);
+          setActivePanel(null);
+          toast.success(`已生成「${definition.label || title}」结果`);
+          return;
+        }
+      }
+
       const created = createTargetModuleNode("image", rightX, 0, nodes.length + 1);
-      const prompt = option?.trim() || title;
       const resultNode: CloneNode = {
         ...created,
         title,
@@ -2485,7 +2656,7 @@ export function LiblibVideoCanvasReplica({ canvasId, isLoading = false }: Liblib
       setActivePanel(null);
       toast.success(`已创建「${title}」工作流节点`);
     },
-    [nodes]
+    [nodes, videoCanvasFunctionConfig]
   );
 
   const updateTextResourceContent = useCallback((nodeId: string, content: string) => {
@@ -2505,19 +2676,63 @@ export function LiblibVideoCanvasReplica({ canvasId, isLoading = false }: Liblib
   }, []);
 
   const submitSelectedImagePrompt = useCallback(
-    (nodeId: string, payload: ComposerSubmitPayload) => {
+    async (nodeId: string, payload: ComposerSubmitPayload) => {
       const anchor = nodes.find((node) => node.id === nodeId);
       if (!anchor) return;
       const sourceUrl = getNodeMediaUrl(anchor) || CHARACTER_IMAGE_URL;
       const rightX = Math.round(anchor.x + anchor.width + OFFICIAL_NODE_GAP);
-      const created = createTargetModuleNode("image", rightX, 0, nodes.length + 1);
-      const prompt = payload.prompt.trim() || payload.slashScene || "生成角色三视图";
+      const starterMode = getPresetMode(anchor);
+      const functionKey =
+        payload.slashScene && /九宫格|宫格|多机位/.test(payload.slashScene)
+          ? "multi-view-nine-grid"
+          : starterMode === "character-three-view"
+            ? "character-three-view"
+            : "image-repaint";
+      const definition = getConfiguredFunction(videoCanvasFunctionConfig, functionKey);
+      const prompt = composeFunctionPrompt(
+        definition,
+        payload.prompt.trim() || payload.slashScene || "生成角色三视图",
+      );
+      const count = Math.max(1, Math.min(4, Number.parseInt(payload.settings.count, 10) || 1));
+      let generatedUrl = "";
+
+      if (videoCanvasFunctionConfig.enabled && definition?.enabled) {
+        const response = await imageGenerationService.generateImage({
+          aspectRatio: payload.settings.ratio,
+          imageCount: count,
+          model: getFunctionModel(videoCanvasFunctionConfig, definition),
+          prompt,
+          referenceImage: sourceUrl,
+        });
+        generatedUrl = response.success ? getFirstGeneratedImageUrl(response) : "";
+        if (!generatedUrl && !response.success) {
+          toast.error(response.error || `${definition.label}生成失败，已保留生成节点`);
+        }
+      }
+
+      const generatedNode = generatedUrl
+        ? createMediaResourceNode({
+            action: "IMAGE_RESOURCE",
+            height: functionKey === "multi-view-nine-grid" ? 347 : 280,
+            mediaType: "image",
+            mediaUrl: generatedUrl,
+            prompt,
+            title: payload.slashScene || definition.label || "图片生成",
+            width: functionKey === "multi-view-nine-grid" ? 560 : 420,
+            x: rightX,
+            y: Math.round(anchor.y + anchor.height / 2 - (functionKey === "multi-view-nine-grid" ? 347 : 280) / 2),
+          })
+        : null;
+      const created = generatedNode || createTargetModuleNode("image", rightX, 0, nodes.length + 1);
       const resultNode: CloneNode = {
         ...created,
-        title: payload.slashScene || "图片生成",
-        y: Math.round(anchor.y + anchor.height / 2 - created.height / 2),
+        title: payload.slashScene || definition.label || "图片生成",
+        y:
+          generatedNode?.y ??
+          Math.round(anchor.y + anchor.height / 2 - created.height / 2),
         draftValues: {
           ...(created.draftValues || {}),
+          generated: Boolean(generatedUrl) || created.draftValues?.generated,
           params: {
             prompt,
             references: payload.references,
@@ -2528,6 +2743,8 @@ export function LiblibVideoCanvasReplica({ canvasId, isLoading = false }: Liblib
           },
           sourceNodeId: anchor.id,
           sourceUrl,
+          targetPreset: starterMode || undefined,
+          toolbarOption: payload.slashScene || "",
         },
       };
       const referenceEdges = payload.references
@@ -2545,9 +2762,113 @@ export function LiblibVideoCanvasReplica({ canvasId, isLoading = false }: Liblib
       setNodeContextMenu(null);
       setConnectionMenu(null);
       setActivePanel(null);
-      toast.success("已按当前提示词创建图片生成节点");
+      toast.success(generatedUrl ? "已按当前提示词生成图片结果" : "已按当前提示词创建图片生成节点");
     },
-    [nodes]
+    [nodes, videoCanvasFunctionConfig]
+  );
+
+  const runPresetComposerSubmit = useCallback(
+    async (nodeId: string, mode: Exclude<ActiveStarterScene, null>, draftPrompt: string) => {
+      const node = nodes.find((item) => item.id === nodeId);
+      if (!node) return;
+      const incomingNodes = edges
+        .filter((edge) => edge.target === nodeId)
+        .map((edge) => nodes.find((item) => item.id === edge.source))
+        .filter((item): item is CloneNode => Boolean(item));
+      const imageUrls = incomingNodes
+        .filter((item) => item.inputType === "image")
+        .map((item) => getNodeSourceMediaUrl(item))
+        .filter(Boolean);
+      const videoUrls = incomingNodes
+        .filter((item) => item.inputType === "video")
+        .map((item) => getNodeSourceMediaUrl(item))
+        .filter(Boolean);
+
+      try {
+        if (mode === "story-script") {
+          const definition = getConfiguredFunction(videoCanvasFunctionConfig, "story-script");
+          const textInputs = incomingNodes
+            .flatMap((item) => {
+              const content = item.draftValues?.content;
+              return Array.isArray(content) ? content.filter((value): value is string => typeof value === "string") : [];
+            })
+            .join("\n\n");
+          const prompt = composeFunctionPrompt(definition, `${draftPrompt}\n\n${textInputs}`.trim());
+          const response = await workflowAnalysisService.analyze({
+            imageUrls,
+            mode: "agent-plan",
+            nodeTitle: node.title,
+            prompt,
+            videoUrls,
+          });
+          if (!response.success) throw new Error(response.error || "故事脚本生成失败");
+          const content =
+            response.data?.raw ||
+            response.data?.agentPlan?.join("\n") ||
+            response.data?.summary ||
+            "";
+          setNodes((current) =>
+            current.map((item) =>
+              item.id === nodeId
+                ? {
+                    ...item,
+                    draftValues: {
+                      ...(item.draftValues || {}),
+                      content: content ? [content] : item.draftValues?.content,
+                      generated: true,
+                      prompt,
+                      rows: response.data?.shotIdeas || item.draftValues?.rows,
+                    },
+                  }
+                : item
+            )
+          );
+          toast.success("故事脚本已生成");
+          return;
+        }
+
+        const definition = getConfiguredFunction(
+          videoCanvasFunctionConfig,
+          mode === "audio-to-video" ? "audio-to-video" : "first-frame-video",
+        );
+        const prompt = composeFunctionPrompt(definition, draftPrompt);
+        const response = await videoGenerationService.generateVideo({
+          images: imageUrls.slice(0, 4),
+          preferredModelRef: getFunctionModel(videoCanvasFunctionConfig, definition),
+          prompt,
+          ratio: "16:9",
+          resolution: "720p",
+        });
+        if (!response.success || !response.data?.url) {
+          throw new Error(response.error || `${definition.label}生成失败`);
+        }
+        setNodes((current) =>
+          current.map((item) =>
+            item.id === nodeId
+              ? {
+                  ...item,
+                  kind: "media",
+                  subtitle: "生成结果",
+                  draftValues: {
+                    ...(item.draftValues || {}),
+                    generated: true,
+                    mediaType: "video",
+                    mediaUrl: response.data?.url,
+                    nodeType: "video",
+                    prompt,
+                    url: [response.data?.url],
+                    videoMeta: response.data?.metadata || null,
+                  },
+                }
+              : item
+          )
+        );
+        toast.success(`${definition.label}已生成`);
+      } catch (error) {
+        toast.error(error instanceof Error ? error.message : "生成失败");
+      }
+    },
+    [edges, nodes, videoCanvasFunctionConfig]
   );
 
   const createFreeNode = useCallback(
@@ -2598,14 +2919,170 @@ export function LiblibVideoCanvasReplica({ canvasId, isLoading = false }: Liblib
     toast.success("已复制节点");
   }, [nodes]);
 
-  const runNode = useCallback((nodeId: string) => {
+  const runNode = useCallback(async (nodeId: string) => {
     const node = nodes.find((item) => item.id === nodeId);
     if (!node) return;
     setSelectedNodeId(nodeId);
     setNodeContextMenu(null);
     setConnectionMenu(null);
-    toast.message(`${node.title} 生成接口待接入。`);
-  }, [nodes]);
+
+    const incomingNodes = edges
+      .filter((edge) => edge.target === nodeId)
+      .map((edge) => nodes.find((item) => item.id === edge.source))
+      .filter((item): item is CloneNode => Boolean(item));
+    const imageUrls = incomingNodes
+      .filter((item) => item.inputType === "image")
+      .map((item) => getNodeSourceMediaUrl(item))
+      .filter(Boolean);
+    const videoUrls = incomingNodes
+      .filter((item) => item.inputType === "video")
+      .map((item) => getNodeSourceMediaUrl(item))
+      .filter(Boolean);
+    const action = String(node.draftValues?.action || "");
+    const params = (node.draftValues?.params || {}) as Record<string, unknown>;
+    const rawPrompt = String(params.prompt || node.draftValues?.prompt || "");
+
+    try {
+      if (node.inputType === "image" || /IMAGE_GENERATE/.test(action)) {
+        const functionKey =
+          action === "IMAGE_GENERATE_NINE_GRID"
+            ? "multi-view-nine-grid"
+            : node.draftValues?.generatorType === "ENHANCE"
+              ? "hd-upscale"
+              : "image-repaint";
+        const definition = getConfiguredFunction(videoCanvasFunctionConfig, functionKey);
+        const sourceUrl = imageUrls[0] || getNodeSourceMediaUrl(node);
+        const prompt = composeFunctionPrompt(definition, rawPrompt || String(params.option || node.title));
+        let generatedUrl = "";
+
+        if (definition.route === "enhance" && sourceUrl) {
+          const response = await imageGenerationService.enhanceImage(sourceUrl);
+          generatedUrl = response.success ? response.data?.url || "" : "";
+          if (!generatedUrl && !response.success) throw new Error(response.error || "图片增强失败");
+        } else {
+          const response = await imageGenerationService.generateImage({
+            aspectRatio: action === "IMAGE_GENERATE_NINE_GRID" ? "16:9" : undefined,
+            imageCount: 1,
+            model: getFunctionModel(videoCanvasFunctionConfig, definition),
+            prompt,
+            referenceImage: sourceUrl || undefined,
+          });
+          generatedUrl = response.success ? getFirstGeneratedImageUrl(response) : "";
+          if (!generatedUrl && !response.success) throw new Error(response.error || "图片生成失败");
+        }
+
+        if (!generatedUrl) throw new Error("图片生成未返回结果");
+        setNodes((current) =>
+          current.map((item) =>
+            item.id === nodeId
+              ? {
+                  ...item,
+                  kind: "media",
+                  subtitle: "生成结果",
+                  draftValues: {
+                    ...(item.draftValues || {}),
+                    generated: true,
+                    mediaType: "image",
+                    mediaUrl: generatedUrl,
+                    nodeType: "image",
+                    prompt,
+                    sourceUrl,
+                    url: [generatedUrl],
+                  },
+                }
+              : item
+          )
+        );
+        toast.success(`${node.title} 已生成图片结果`);
+        return;
+      }
+
+      if (node.inputType === "video" || /VIDEO_GENERATE/.test(action)) {
+        const definition = getConfiguredFunction(
+          videoCanvasFunctionConfig,
+          imageUrls.length >= 2 ? "first-last-frame-video" : imageUrls.length === 1 ? "first-frame-video" : "text-to-video",
+        );
+        const prompt = composeFunctionPrompt(definition, rawPrompt || node.title);
+        const response = await videoGenerationService.generateVideo({
+          images: imageUrls.slice(0, 4),
+          preferredModelRef: getFunctionModel(videoCanvasFunctionConfig, definition),
+          prompt,
+          ratio: "16:9",
+          resolution: "720p",
+        });
+        if (!response.success || !response.data?.url) {
+          throw new Error(response.error || "视频生成失败");
+        }
+        setNodes((current) =>
+          current.map((item) =>
+            item.id === nodeId
+              ? {
+                  ...item,
+                  kind: "media",
+                  subtitle: "生成结果",
+                  draftValues: {
+                    ...(item.draftValues || {}),
+                    generated: true,
+                    mediaType: "video",
+                    mediaUrl: response.data?.url,
+                    nodeType: "video",
+                    prompt,
+                    url: [response.data?.url],
+                    videoMeta: response.data?.metadata || null,
+                  },
+                }
+              : item
+          )
+        );
+        toast.success(`${node.title} 已生成视频结果`);
+        return;
+      }
+
+      if (node.inputType === "text" || /SCRIPT_GENERATE|TEXT_GENERATE/.test(action)) {
+        const definition = getConfiguredFunction(
+          videoCanvasFunctionConfig,
+          imageUrls.length > 0 || videoUrls.length > 0 ? "image-to-prompt" : "story-script",
+        );
+        const prompt = composeFunctionPrompt(definition, rawPrompt || STORY_SCRIPT_PROMPT);
+        const response = await workflowAnalysisService.analyze({
+          imageUrls,
+          mode: "agent-plan",
+          nodeTitle: node.title,
+          prompt,
+          videoUrls,
+        });
+        if (!response.success) throw new Error(response.error || "多模态分析失败");
+        const content =
+          response.data?.raw ||
+          response.data?.agentPlan?.join("\n") ||
+          response.data?.summary ||
+          response.data?.recommendedNextSteps?.join("\n") ||
+          "";
+        setNodes((current) =>
+          current.map((item) =>
+            item.id === nodeId
+              ? {
+                  ...item,
+                  draftValues: {
+                    ...(item.draftValues || {}),
+                    content: content ? [content] : item.draftValues?.content,
+                    generated: true,
+                    prompt,
+                    rows: response.data?.shotIdeas || item.draftValues?.rows,
+                  },
+                }
+              : item
+          )
+        );
+        toast.success(`${node.title} 已生成文本结果`);
+        return;
+      }
+
+      toast.info(`${node.title} 暂无可执行的后端动作`);
+    } catch (error) {
+      toast.error(error instanceof Error ? error.message : `${node.title} 生成失败`);
+    }
+  }, [edges, nodes, videoCanvasFunctionConfig]);
 
   const deleteNode = useCallback((nodeId: string) => {
     setNodes((current) => current.filter((node) => node.id !== nodeId));
@@ -2971,6 +3448,13 @@ export function LiblibVideoCanvasReplica({ canvasId, isLoading = false }: Liblib
           nodes={nodes}
           onComposerSubmit={(payload) => submitSelectedImagePrompt(selectedPresetControlNode.id, payload)}
           onImageToolAction={(action, option) => runSelectedImageToolAction(selectedPresetControlNode.id, action, option)}
+          onPresetSubmit={(prompt) =>
+            runPresetComposerSubmit(
+              selectedPresetControlNode.id,
+              selectedPresetMode ?? "character-three-view",
+              prompt
+            )
+          }
           selectedNode={selectedPresetControlNode}
         />
       ) : null}
@@ -3139,7 +3623,22 @@ export function LiblibVideoCanvasReplica({ canvasId, isLoading = false }: Liblib
       {angleEditorNode ? (
         <MultiAngleEditorDialog
           node={angleEditorNode}
-          onApply={(settings) => {
+          onApply={async (settings) => {
+            const angleDefinition = getConfiguredFunction(videoCanvasFunctionConfig, "angle-edit");
+            const sourceUrl = getNodeMediaUrl(angleEditorNode) || getNodeSourceMediaUrl(angleEditorNode);
+            let generatedUrl = "";
+            if (sourceUrl && videoCanvasFunctionConfig.enabled && angleDefinition?.enabled) {
+              const response = await imageGenerationService.editAngle({
+                horizontalAngle: settings.horizontalAngle,
+                imageUrl: sourceUrl,
+                verticalAngle: settings.verticalAngle,
+                zoom: settings.zoom,
+              });
+              generatedUrl = response.success ? response.data?.url || response.data?.thumbnailUrl || "" : "";
+              if (!generatedUrl && !response.success) {
+                toast.error(response.error || "多角度生成失败，已保留参数");
+              }
+            }
             setNodes((current) =>
               current.map((node) =>
                 node.id === angleEditorNode.id
@@ -3160,8 +3659,39 @@ export function LiblibVideoCanvasReplica({ canvasId, isLoading = false }: Liblib
                   : node
               )
             );
+            if (generatedUrl) {
+              const resultNode = createMediaResourceNode({
+                action: "IMAGE_RESOURCE",
+                height: 280,
+                mediaType: "image",
+                mediaUrl: generatedUrl,
+                prompt: angleDefinition.prompt,
+                title: "多角度结果",
+                width: 420,
+                x: Math.round(angleEditorNode.x + angleEditorNode.width + OFFICIAL_NODE_GAP),
+                y: Math.round(angleEditorNode.y + angleEditorNode.height / 2 - 140),
+              });
+              setNodes((current) => [
+                ...current,
+                {
+                  ...resultNode,
+                  draftValues: {
+                    ...(resultNode.draftValues || {}),
+                    angleSettings: settings,
+                    generated: true,
+                    sourceNodeId: angleEditorNode.id,
+                    sourceUrl,
+                  },
+                },
+              ]);
+              setEdges((current) => [
+                ...current,
+                { id: makeId("edge"), source: angleEditorNode.id, target: resultNode.id },
+              ]);
+              setSelectedNodeId(resultNode.id);
+            }
             setAngleEditorNodeId(null);
-            toast.success("已应用多角度参数，生成接口待接入。");
+            toast.success(generatedUrl ? "已按多角度参数生成结果" : "已应用多角度参数");
           }}
           onClose={() => setAngleEditorNodeId(null)}
         />
@@ -3356,41 +3886,43 @@ function ZoomDock({
 
   return (
     <div className="absolute bottom-5 left-5 z-40" data-canvas-overlay="true">
-      {overviewOpen ? (
-        <CanvasOverviewPopover nodes={nodes} selectedNodeId={selectedNodeId || null} />
-      ) : null}
-      <div className="flex h-[72px] items-center gap-2 rounded-[18px] border border-white/9 bg-[#202020]/95 px-3 text-white/74 shadow-[0_18px_48px_rgba(0,0,0,0.42)] backdrop-blur-[10px]">
-        <ZoomDockButton active={overviewOpen} label="画布总览" onClick={onToggleOverview}>
-          <GridTilesGlyph />
-        </ZoomDockButton>
-        <ZoomDockButton active={Boolean(selectedNodeId)} label="定位选中" onClick={onCenter} selectedOutline>
-          <MapPinGlyph />
-        </ZoomDockButton>
-        <ZoomDockButton active={snapEnabled} label={snapEnabled ? "吸附已开启" : "吸附已关闭"} onClick={onToggleSnap}>
-          <MagnetGlyph />
-        </ZoomDockButton>
-        <div className="mx-2 h-8 w-px bg-white/10" />
-        <button
-          className="flex h-12 w-12 cursor-pointer items-center justify-center rounded-[12px] text-[24px] leading-none text-white/72 transition-colors hover:bg-white/8 hover:text-white"
-          onClick={onZoomOut}
-          type="button"
-        >
-          -
-        </button>
-        <button
-          className="h-12 min-w-[86px] cursor-pointer rounded-[12px] px-2 text-center text-[20px] font-medium tabular-nums leading-[48px] text-white/86 transition-colors hover:bg-white/8"
-          onClick={onCenter}
-          type="button"
-        >
-          {Math.round(zoom * 100)}%
-        </button>
-        <button
-          className="flex h-12 w-12 cursor-pointer items-center justify-center rounded-[12px] text-[28px] leading-none text-white/82 transition-colors hover:bg-white/8 hover:text-white"
-          onClick={onZoomIn}
-          type="button"
-        >
-          +
-        </button>
+      <div style={{ transform: `scale(${OFFICIAL_ZOOM_DOCK_SCALE})`, transformOrigin: "bottom left" }}>
+        {overviewOpen ? (
+          <CanvasOverviewPopover nodes={nodes} selectedNodeId={selectedNodeId || null} />
+        ) : null}
+        <div className="flex h-[54px] items-center gap-1 rounded-[14px] border border-white/9 bg-[#202020]/95 px-2 text-white/74 shadow-[0_18px_48px_rgba(0,0,0,0.42)] backdrop-blur-[10px]">
+          <ZoomDockButton active={overviewOpen} label="画布总览" onClick={onToggleOverview}>
+            <GridTilesGlyph />
+          </ZoomDockButton>
+          <ZoomDockButton active={Boolean(selectedNodeId)} label="定位选中" onClick={onCenter} selectedOutline>
+            <MapPinGlyph />
+          </ZoomDockButton>
+          <ZoomDockButton active={snapEnabled} label={snapEnabled ? "吸附已开启" : "吸附已关闭"} onClick={onToggleSnap}>
+            <MagnetGlyph />
+          </ZoomDockButton>
+          <div className="mx-1 h-7 w-px bg-white/10" />
+          <button
+            className="flex h-10 w-10 cursor-pointer items-center justify-center rounded-[10px] text-[21px] leading-none text-white/72 transition-colors hover:bg-white/8 hover:text-white"
+            onClick={onZoomOut}
+            type="button"
+          >
+            -
+          </button>
+          <button
+            className="h-10 min-w-[68px] cursor-pointer rounded-[10px] px-2 text-center text-[16px] font-medium tabular-nums leading-[40px] text-white/86 transition-colors hover:bg-white/8"
+            onClick={onCenter}
+            type="button"
+          >
+            {Math.round(zoom * 100)}%
+          </button>
+          <button
+            className="flex h-10 w-10 cursor-pointer items-center justify-center rounded-[10px] text-[23px] leading-none text-white/82 transition-colors hover:bg-white/8 hover:text-white"
+            onClick={onZoomIn}
+            type="button"
+          >
+            +
+          </button>
+        </div>
       </div>
     </div>
   );
@@ -3412,7 +3944,7 @@ function ZoomDockButton({
   return (
     <button
       className={cn(
-        "flex h-12 w-12 cursor-pointer items-center justify-center rounded-[12px] text-white/74 transition-colors hover:bg-white/10 hover:text-white",
+        "flex h-10 w-10 cursor-pointer items-center justify-center rounded-[10px] text-white/74 transition-colors hover:bg-white/10 hover:text-white",
         active && "bg-white/10 text-white",
         active && selectedOutline && "bg-transparent shadow-[0_0_0_2px_#8dc5ff]"
       )}
@@ -3629,6 +4161,7 @@ function PresetWorkflowControls({
   nodes,
   onComposerSubmit,
   onImageToolAction,
+  onPresetSubmit,
   selectedNode,
 }: {
   anchor: PresetControlAnchor;
@@ -3636,6 +4169,7 @@ function PresetWorkflowControls({
   nodes: CloneNode[];
   onComposerSubmit: (payload: ComposerSubmitPayload) => void;
   onImageToolAction: (action: ImageToolbarAction, option?: string) => void;
+  onPresetSubmit: (prompt: string) => void;
   selectedNode: CloneNode;
 }) {
   if (mode === "character-three-view") {
@@ -3667,6 +4201,7 @@ function PresetWorkflowControls({
         <PresetComposerPanel
           anchor={anchor}
           credit="8"
+          onSubmit={onPresetSubmit}
           prompt={STORY_SCRIPT_PROMPT}
           submitMessage="故事脚本生成接口待接入。"
           title="脚本生成器"
@@ -3690,6 +4225,7 @@ function PresetWorkflowControls({
         <PresetComposerPanel
           anchor={anchor}
           credit="28"
+          onSubmit={onPresetSubmit}
           prompt="以当前图为首帧生成视频。"
           submitMessage="首帧图生视频接口待接入。"
           thumbnailUrl={FIRST_FRAME_IMAGE_URL}
@@ -3701,7 +4237,7 @@ function PresetWorkflowControls({
 
   return (
     <div className="pointer-events-none absolute inset-0 z-30" data-canvas-overlay="true">
-      <AudioToVideoComposerPanel anchor={anchor} />
+      <AudioToVideoComposerPanel anchor={anchor} onSubmit={onPresetSubmit} />
     </div>
   );
 }
@@ -3779,7 +4315,15 @@ function CharacterPresetToolbar({
   );
 }
 
-function AudioToVideoComposerPanel({ anchor }: { anchor?: PresetControlAnchor }) {
+function AudioToVideoComposerPanel({
+  anchor,
+  onSubmit,
+}: {
+  anchor?: PresetControlAnchor;
+  onSubmit?: (prompt: string) => void;
+}) {
+  const [prompt, setPrompt] = useState(AUDIO_TO_VIDEO_PROMPT);
+
   return (
     <div
       className="pointer-events-auto absolute overflow-visible"
@@ -3845,8 +4389,9 @@ function AudioToVideoComposerPanel({ anchor }: { anchor?: PresetControlAnchor })
         </div>
         <textarea
           className="mt-5 h-[62px] w-full resize-none bg-transparent text-[24px] leading-8 text-white/78 outline-none placeholder:text-white/46"
-          defaultValue={AUDIO_TO_VIDEO_PROMPT}
+          onChange={(event) => setPrompt(event.target.value)}
           placeholder="根据上传的音频生成对应场景画面，镜头语言、节奏、音乐匹配情绪变化，电影级质感。"
+          value={prompt}
         />
         <div className="absolute bottom-5 left-5 right-[86px] flex items-center gap-7 overflow-hidden text-[22px] text-white/82">
           <ComposerControl label="Seedance 2.0" icon="▥" dropdown onClick={() => toast.info("视频模型选择后端待接入。")} />
@@ -3862,7 +4407,13 @@ function AudioToVideoComposerPanel({ anchor }: { anchor?: PresetControlAnchor })
         </div>
         <button
           className="absolute bottom-5 right-5 flex h-14 w-14 items-center justify-center rounded-[14px] bg-white text-[34px] leading-none text-black hover:bg-white/90"
-          onClick={() => toast.info("音频生视频生成接口待接入。")}
+          onClick={() => {
+            if (onSubmit) {
+              onSubmit(prompt);
+              return;
+            }
+            toast.info("音频生视频生成接口待接入。");
+          }}
           type="button"
         >
           ↑
@@ -4341,6 +4892,7 @@ function AudioResourcePanel() {
 function PresetComposerPanel({
   anchor,
   credit,
+  onSubmit,
   prompt,
   submitMessage,
   thumbnailUrl,
@@ -4348,6 +4900,7 @@ function PresetComposerPanel({
 }: {
   anchor?: PresetControlAnchor;
   credit: string;
+  onSubmit?: (prompt: string) => void;
   prompt: string;
   submitMessage: string;
   thumbnailUrl?: string;
@@ -4409,7 +4962,13 @@ function PresetComposerPanel({
 	      </div>
 	      <button
 	        className="absolute bottom-5 right-5 flex h-11 w-11 items-center justify-center rounded-[12px] bg-white/76 text-[24px] text-black hover:bg-white"
-	        onClick={() => toast.info(submitMessage)}
+	        onClick={() => {
+            if (onSubmit) {
+              onSubmit(draftPrompt);
+              return;
+            }
+            toast.info(submitMessage);
+          }}
 	        type="button"
 	      >
 	        ↑

docs/video-canvas-official-function-map.md

@@ -0,0 +1,68 @@
+# 视频画布复刻功能映射
+
+本文档记录 LibTV 目标画布的功能分类、官方接口线索，以及当前项目的前后端串联策略。目标优先级是“复刻前端和工作流逻辑优先，后端缺口留空可配置”。
+
+## 官方接口线索
+
+- 工具定义：`GET /api/tool_spec/list`
+- 工作流预设：`GET /api/canvas/workflow/list`
+- 创建生成任务：`POST /api/task/generation/create`
+- 生成进度：`POST /api/task/generation/progress/batch`
+- 打光专项：`POST /api/task/generation/lighting`
+- 视频优化：`POST /api/task/generation/video/opt`
+- 扣点估算：`POST /api/task/generation/power/calculator` 和 `/batch`
+- 画布保存：`POST /api/canvas/project/draft/update`
+
+抓取到的官方工具规格里，工具大类约为：图片 22、视频 38、音频 3、文本 3、合成 1。模式大类包括 image2image、image2video、singleImage2video、frames2video、audio2video、image2text、video2text、videoEdit2video、video2video。
+
+## 功能分类
+
+| 功能 | 官方逻辑判断 | 当前串联 |
+| --- | --- | --- |
+| 角色三视图 | 图片编辑/图生图模型，参考图保持角色一致性 | `/api/canvas/generate/image`，提示词在系统设置配置 |
+| 多机位九宫格 | 图片编辑/图生图模型生成带黑色分割线的 3x3 分镜图 | `/api/canvas/generate/image`，生成结果再支持宫格切分 |
+| 宫格切分 | 图像识别/本地分割线检测，按黑线切 4/9/16/25 张 | 当前前端本地检测黑线并生成切片节点 |
+| 多角度编辑器 | 图片编辑模型，参数含水平环绕、垂直俯仰、景别缩放 | `/api/angle-edit` |
+| 高清 | 图像增强/超分接口 | `/api/enhance` |
+| 扩图/720 全景 | 图片拓展或图片编辑模型 | `/api/extend` |
+| 重绘/擦除 | 图片编辑生图模型，擦除后续可替换蒙版接口 | `/api/canvas/generate/image` |
+| 抠图 | 图像分割/抠图接口 | `/api/rmbg` |
+| 图片反推提示词 | 多模态模型 image2text | `/api/canvas/workflow/analyze` |
+| 故事/分镜脚本 | 文本模型或多模态模型，输出表格化镜号 | `/api/canvas/workflow/analyze` |
+| 文生视频 | 视频生成模型 text2video | `/api/canvas/generate/video` |
+| 首帧图生视频 | 视频生成模型 image2video | `/api/canvas/generate/video` |
+| 首尾帧生视频 | 视频生成模型 frames2video | `/api/canvas/generate/video`，最多传 4 张图 |
+| 音频生视频 | audio2video，官方会结合音频节拍/情绪和参考图 | 当前先用提示词+参考图走 `/api/canvas/generate/video`，音频节拍解析后端后续补 |
+| 工具箱工作流模板 | 预设画布工作流，点击后在当前画布展开节点 | 前端已按官方工作流思路展开，后续模板内容可配置化扩充 |
+
+## 配置入口
+
+新增系统设置键：`video_canvas_function_config`
+
+新增页面：`/settings/video-canvas`
+
+可配置内容：
+
+- 总开关
+- 默认图片/视频/多模态模型
+- 每个功能的启用状态
+- 每个功能的模型覆盖
+- 每个功能的扣点
+- 每个功能的预设提示词/规则
+
+## 当前已接入的前端触发点
+
+- 选中图片后的九宫格、高清、扩图、打光、全景、重绘、擦除、抠图
+- 九宫格切分，识别黑色分割线拆为单独镜头图
+- 多角度编辑器提交
+- 角色三视图提示词框提交
+- 故事脚本、首帧视频、音频生视频预设 Composer 提交
+- 右键“立即生成”按节点类型执行图片/视频/多模态分析
+
+## 后续后端缺口
+
+- 真正的 audio2video 音频节拍/情绪解析输入
+- 视频编辑到视频、视频参考生成分镜脚本的专用接口
+- 擦除/局部重绘的蒙版编辑接口
+- 官方扣点估算等价接口
+- 官方 67 个工具规格的完整后台模型路由表

lib/video-canvas/config.ts

@@ -0,0 +1,313 @@
+export const VIDEO_CANVAS_FUNCTION_CONFIG_KEY = "video_canvas_function_config";
+
+export type VideoCanvasFunctionKind =
+  | "multimodal"
+  | "image"
+  | "image-edit"
+  | "video"
+  | "audio"
+  | "utility"
+  | "workflow";
+
+export type VideoCanvasBackendRoute =
+  | "canvas-generate-image"
+  | "canvas-generate-video"
+  | "canvas-workflow-analyze"
+  | "angle-edit"
+  | "enhance"
+  | "enhance-pro"
+  | "extend"
+  | "remove-bg"
+  | "layer-split"
+  | "local";
+
+export type VideoCanvasFunctionDefinition = {
+  key: string;
+  label: string;
+  kind: VideoCanvasFunctionKind;
+  route: VideoCanvasBackendRoute;
+  enabled: boolean;
+  model?: string;
+  creditCost?: number;
+  prompt: string;
+  description: string;
+  requiresBackend?: boolean;
+};
+
+export type VideoCanvasFunctionConfig = {
+  enabled: boolean;
+  defaultImageModel: string;
+  defaultVideoModel: string;
+  defaultMultimodalModel: string;
+  functions: Record<string, VideoCanvasFunctionDefinition>;
+};
+
+const defaultFunctions: VideoCanvasFunctionDefinition[] = [
+  {
+    key: "character-three-view",
+    label: "角色三视图",
+    kind: "image-edit",
+    route: "canvas-generate-image",
+    enabled: true,
+    creditCost: 14,
+    prompt:
+      "以输入角色图为唯一角色参考，生成正面、侧面、背面三视图角色设定图。保持五官、发型、服装、颜色和体型一致，干净白底，三视图水平排布，适合后续视频角色一致性使用。",
+    description: "官方角色三视图预设，使用参考图生图/编辑模型。",
+  },
+  {
+    key: "multi-view-nine-grid",
+    label: "多机位九宫格",
+    kind: "image-edit",
+    route: "canvas-generate-image",
+    enabled: true,
+    creditCost: 14,
+    prompt:
+      "以选中图片为角色/主体参考，生成多视角 3x3 九宫格分镜图。保持主体一致，九个镜头包含远景、全身、侧身、背面、半身、近景、局部细节等视角，使用清晰黑色分割线分隔每一格，白色或干净背景。",
+    description: "官方九宫格工具：先生成带黑色分割线的 3x3 分镜图，再由宫格切分拆成单张镜头。",
+  },
+  {
+    key: "grid-split",
+    label: "宫格切分",
+    kind: "utility",
+    route: "local",
+    enabled: true,
+    creditCost: 0,
+    prompt: "识别黑色宫格分割线，将合成图切分为可单独调整的镜头图片。",
+    description: "浏览器端识别黑色分割线并生成切片节点；后端可后续替换为更稳的图像分割服务。",
+  },
+  {
+    key: "lighting",
+    label: "打光",
+    kind: "image-edit",
+    route: "canvas-generate-image",
+    enabled: true,
+    creditCost: 14,
+    prompt:
+      "在保持主体、构图和身份一致的前提下，对图片进行电影级光影重塑，增强轮廓光、层次、对比和空间感，保留自然材质细节。",
+    description: "图片编辑生图模型，复刻官方打光工具。",
+  },
+  {
+    key: "hd-upscale",
+    label: "高清",
+    kind: "utility",
+    route: "enhance",
+    enabled: true,
+    creditCost: 8,
+    prompt: "提升图片清晰度、细节和分辨率，保持原图内容不变。",
+    description: "接入现有图片增强接口；高清重绘可在模型字段指定增强 Pro。",
+  },
+  {
+    key: "panorama-720",
+    label: "720 全景",
+    kind: "image-edit",
+    route: "extend",
+    enabled: true,
+    creditCost: 14,
+    prompt:
+      "基于当前图片向四周扩展为 720 全景视野，保持主体与场景一致，补全自然环境和空间透视，避免变形和重复纹理。",
+    description: "优先使用拓图接口，必要时可切到图片编辑生图模型。",
+  },
+  {
+    key: "image-outpaint",
+    label: "扩图",
+    kind: "utility",
+    route: "extend",
+    enabled: true,
+    creditCost: 10,
+    prompt: "在保持主体不变的前提下扩展画面边界，补全自然背景和构图。",
+    description: "对应官方高清菜单里的扩图。",
+  },
+  {
+    key: "image-repaint",
+    label: "重绘",
+    kind: "image-edit",
+    route: "canvas-generate-image",
+    enabled: true,
+    creditCost: 14,
+    prompt: "保持主体结构和身份一致，按照用户补充提示重绘画面局部或整体风格。",
+    description: "对应官方高清菜单里的重绘。",
+  },
+  {
+    key: "image-erase",
+    label: "擦除",
+    kind: "image-edit",
+    route: "canvas-generate-image",
+    enabled: true,
+    creditCost: 10,
+    prompt: "根据用户标记或文字说明移除指定元素，并自然补全背景纹理。",
+    description: "当前以前端提示词占位接图片编辑模型，后续可替换为蒙版编辑接口。",
+  },
+  {
+    key: "remove-bg",
+    label: "抠图",
+    kind: "utility",
+    route: "remove-bg",
+    enabled: true,
+    creditCost: 4,
+    prompt: "移除图片背景，保留主体透明或干净背景结果。",
+    description: "接入现有抠图接口。",
+  },
+  {
+    key: "image-crop",
+    label: "裁剪",
+    kind: "utility",
+    route: "local",
+    enabled: true,
+    creditCost: 0,
+    prompt: "按用户选择的裁剪比例或宫格切片范围处理图片。",
+    description: "本地画布裁剪/宫格切分能力。",
+  },
+  {
+    key: "angle-edit",
+    label: "多角度编辑器",
+    kind: "image-edit",
+    route: "angle-edit",
+    enabled: true,
+    creditCost: 1,
+    prompt: "根据水平环绕、垂直俯仰和景别缩放参数生成新的角色/主体视角。",
+    description: "接现有 /api/angle-edit，多角度编辑器提交时触发。",
+  },
+  {
+    key: "story-script",
+    label: "故事脚本生成",
+    kind: "multimodal",
+    route: "canvas-workflow-analyze",
+    enabled: true,
+    creditCost: 6,
+    prompt: "根据输入文本、图片或视频参考，生成结构化分镜脚本，包含镜号、场景、画面、声音和镜头节奏。",
+    description: "多模态大模型/文本模型生成脚本表格。",
+  },
+  {
+    key: "image-to-prompt",
+    label: "图片反推提示词",
+    kind: "multimodal",
+    route: "canvas-workflow-analyze",
+    enabled: true,
+    creditCost: 3,
+    prompt: "分析参考图片，输出结构化中文提示词，包括主体、环境、构图、光影、镜头语言和风格关键词。",
+    description: "多模态识图生成提示词。",
+  },
+  {
+    key: "text-to-video",
+    label: "文生视频",
+    kind: "video",
+    route: "canvas-generate-video",
+    enabled: true,
+    creditCost: 14,
+    prompt: "根据文本描述生成短视频，保持镜头运动、节奏和电影级质感。",
+    description: "视频生成模型，走现有视频生成接口。",
+  },
+  {
+    key: "first-frame-video",
+    label: "首帧图生视频",
+    kind: "video",
+    route: "canvas-generate-video",
+    enabled: true,
+    creditCost: 14,
+    prompt: "以参考图片作为视频首帧，生成自然流畅的短视频。",
+    description: "图片到视频/首帧生视频。",
+  },
+  {
+    key: "first-last-frame-video",
+    label: "首尾帧生成视频",
+    kind: "video",
+    route: "canvas-generate-video",
+    enabled: true,
+    creditCost: 14,
+    prompt: "以两张参考图作为首帧和尾帧，生成首尾连贯的短视频。",
+    description: "首尾帧视频生成。",
+  },
+  {
+    key: "audio-to-video",
+    label: "音频生视频",
+    kind: "video",
+    route: "canvas-generate-video",
+    enabled: true,
+    creditCost: 14,
+    prompt: "根据上传音频生成对应场景画面，镜头语言、节奏、音乐匹配情绪变化，电影级质感。",
+    description: "官方为音频+参考图到视频；当前先接视频生成提示词和参考图，音频节拍解析接口后续补充。",
+    requiresBackend: true,
+  },
+];
+
+export const defaultVideoCanvasFunctionConfig: VideoCanvasFunctionConfig = {
+  enabled: true,
+  defaultImageModel: "auto",
+  defaultVideoModel: "auto",
+  defaultMultimodalModel: "auto",
+  functions: Object.fromEntries(defaultFunctions.map((item) => [item.key, item])),
+};
+
+function isRecord(value: unknown): value is Record<string, unknown> {
+  return Boolean(value) && typeof value === "object" && !Array.isArray(value);
+}
+
+function normalizeFunctionDefinition(
+  key: string,
+  value: unknown,
+  fallback: VideoCanvasFunctionDefinition,
+): VideoCanvasFunctionDefinition {
+  const incoming = isRecord(value) ? value : {};
+  const normalized: VideoCanvasFunctionDefinition = {
+    ...fallback,
+    key,
+    label: String(incoming.label || fallback.label),
+    kind: (incoming.kind as VideoCanvasFunctionKind) || fallback.kind,
+    route: (incoming.route as VideoCanvasBackendRoute) || fallback.route,
+    enabled: typeof incoming.enabled === "boolean" ? incoming.enabled : fallback.enabled,
+    model: typeof incoming.model === "string" ? incoming.model : fallback.model,
+    creditCost:
+      typeof incoming.creditCost === "number" && Number.isFinite(incoming.creditCost)
+        ? Math.max(0, incoming.creditCost)
+        : fallback.creditCost,
+    prompt: String(incoming.prompt || fallback.prompt),
+    description: String(incoming.description || fallback.description),
+    requiresBackend:
+      typeof incoming.requiresBackend === "boolean"
+        ? incoming.requiresBackend
+        : fallback.requiresBackend,
+  };
+  return normalized;
+}
+
+export function normalizeVideoCanvasFunctionConfig(value: unknown): VideoCanvasFunctionConfig {
+  if (!isRecord(value)) return defaultVideoCanvasFunctionConfig;
+  const incomingFunctions = isRecord(value.functions) ? value.functions : {};
+  const functions: Record<string, VideoCanvasFunctionDefinition> = {};
+
+  for (const [key, fallback] of Object.entries(defaultVideoCanvasFunctionConfig.functions)) {
+    functions[key] = normalizeFunctionDefinition(key, incomingFunctions[key], fallback);
+  }
+
+  for (const [key, customValue] of Object.entries(incomingFunctions)) {
+    if (functions[key] || !isRecord(customValue)) continue;
+    const fallback: VideoCanvasFunctionDefinition = {
+      key,
+      label: String(customValue.label || key),
+      kind: (customValue.kind as VideoCanvasFunctionKind) || "workflow",
+      route: (customValue.route as VideoCanvasBackendRoute) || "local",
+      enabled: customValue.enabled !== false,
+      creditCost: typeof customValue.creditCost === "number" ? Math.max(0, customValue.creditCost) : 0,
+      prompt: String(customValue.prompt || ""),
+      description: String(customValue.description || "自定义视频画布功能"),
+    };
+    functions[key] = normalizeFunctionDefinition(key, customValue, fallback);
+  }
+
+  return {
+    enabled: value.enabled !== false,
+    defaultImageModel:
+      typeof value.defaultImageModel === "string" && value.defaultImageModel.trim()
+        ? value.defaultImageModel.trim()
+        : defaultVideoCanvasFunctionConfig.defaultImageModel,
+    defaultVideoModel:
+      typeof value.defaultVideoModel === "string" && value.defaultVideoModel.trim()
+        ? value.defaultVideoModel.trim()
+        : defaultVideoCanvasFunctionConfig.defaultVideoModel,
+    defaultMultimodalModel:
+      typeof value.defaultMultimodalModel === "string" && value.defaultMultimodalModel.trim()
+        ? value.defaultMultimodalModel.trim()
+        : defaultVideoCanvasFunctionConfig.defaultMultimodalModel,
+    functions,
+  };
+}