Prevent Vidu model selection from looping node updates

Vidu-style video models can load parameter schemas that change the Generate Video node height and trigger React Flow dimension updates. The fix keeps schema-driven resize notifications stable, skips no-op node height writes, and ignores duplicate React Flow node changes before they enter the workflow store.

It also preserves completed media outputs when a stopped or reloaded workflow still has transient loading/skipped state, so existing video results do not appear stuck after recovery.

Constraint: The crash was reported from a browser state where choosing Vidu hit React's maximum update depth in onNodesChange.

Rejected: Clear browser storage as the fix | it would hide persisted workflow loops without fixing the update path.

Rejected: Remove dynamic video handles | visible media/text inputs are product behavior and required for model-specific workflows.

Confidence: high

Scope-risk: moderate

Directive: Keep React Flow dimension and schema resize writes idempotent; new node resize paths should no-op when dimensions are already applied.

Tested: npm test -- --run src/components/__tests__/GenerateVideoNode.test.tsx -t 'should not resize repeatedly'

Tested: npm test -- --run src/components/__tests__/GenerateVideoNode.test.tsx src/components/__tests__/ModelParameters.test.tsx src/store/__tests__/workflowStore.integration.test.ts src/store/__tests__/skipPropagation.test.ts src/store/execution/__tests__/generateVideoExecutor.test.ts

Tested: npm run build

Tested: npm run test:run

src/components/__tests__/GenerateVideoNode.test.tsx

@@ -819,6 +819,61 @@ describe("GenerateVideoNode", () => {
       expect(screen.getByLabelText("Sound")).toBeChecked();
     });
 
+    it("should not resize repeatedly when a non-sound video model schema is stable", async () => {
+      window.localStorage.removeItem("node-banana-schema-cache");
+      mockFetch.mockImplementation((url) => {
+        const requestUrl = String(url);
+        if (requestUrl.startsWith("/api/models?")) {
+          return Promise.resolve({
+            ok: true,
+            json: () => Promise.resolve({ models: [] }),
+          });
+        }
+        if (requestUrl.startsWith("/api/models/")) {
+          return Promise.resolve({
+            ok: true,
+            json: () => Promise.resolve({
+              parameters: [{ name: "motion", type: "string", label: "Motion" }],
+              inputs: [{ name: "prompt", type: "text", required: true, label: "Prompt" }],
+            }),
+          });
+        }
+        return Promise.resolve({
+          ok: true,
+          json: () => Promise.resolve({}),
+        });
+      });
+
+      const props = createNodeProps({
+        selectedModel: {
+          provider: "newapiwg",
+          modelId: "vidu-q1",
+          displayName: "Vidu Q1",
+          capabilities: ["text-to-video"],
+        },
+      });
+
+      const { rerender } = render(
+        <TestWrapper>
+          <GenerateVideoNode {...props} />
+        </TestWrapper>
+      );
+
+      await waitFor(() => {
+        expect(mockSetNodes.mock.calls.length).toBeGreaterThan(0);
+      });
+      const resizeCallsAfterSchemaLoad = mockSetNodes.mock.calls.length;
+
+      rerender(
+        <TestWrapper>
+          <GenerateVideoNode {...props} />
+        </TestWrapper>
+      );
+      await new Promise((resolve) => setTimeout(resolve, 0));
+
+      expect(mockSetNodes.mock.calls.length).toBe(resizeCallsAfterSchemaLoad);
+    });
+
     it("should render ModelParameters when model is selected", async () => {
       render(
         <TestWrapper>

src/components/nodes/GenerateVideoNode.tsx

@@ -39,6 +39,10 @@ import {
 
 // Video generation capabilities
 const VIDEO_CAPABILITIES: ModelCapability[] = ["text-to-video", "image-to-video", "video-to-video", "audio-to-video"];
+const VIDEO_BASIC_PARAMETER_NAMES = [
+  ...VIDEO_DURATION_PARAMETER_NAMES,
+  ...VIDEO_RESOLUTION_PARAMETER_NAMES,
+];
 
 /** Returns true for Gemini-native Veo video models */
 function isVeoModel(modelId: string | undefined): boolean {
@@ -312,13 +316,16 @@ export function GenerateVideoNode({ id, data, selected }: NodeProps<GenerateVide
       const baseHeight = 300; // Default node height
       const newHeight = baseHeight + parameterHeight;
 
-      setNodes((nodes) =>
+      setNodes((nodes) => {
-        nodes.map((node) =>
+        let changed = false;
-          node.id === id
+        const nextNodes = nodes.map((node) => {
-            ? { ...node, style: { ...node.style, height: newHeight } }
+          if (node.id !== id) return node;
-            : node
+          if (node.style?.height === newHeight) return node;
-        )
+          changed = true;
-      );
+          return { ...node, style: { ...node.style, height: newHeight } };
+        });
+        return changed ? nextNodes : nodes;
+      });
     },
     [id, setNodes]
   );
@@ -436,9 +443,10 @@ export function GenerateVideoNode({ id, data, selected }: NodeProps<GenerateVide
   }, [nodeData.lastUsedModel?.displayName, nodeData.outputVideo, nodeData.selectedModel?.displayName, nodeData.selectedModel?.modelId, t]);
   const displayError = formatUserFacingError(nodeData.error, t, displayTitle);
   const videoSoundSupported = modelSupportsVideoSound(nodeData.selectedModel);
-  const hiddenVideoParameterNames = videoSoundSupported
+  const hiddenVideoParameterNames = useMemo(
-    ? VIDEO_FIRST_CLASS_PARAMETER_NAMES
+    () => videoSoundSupported ? VIDEO_FIRST_CLASS_PARAMETER_NAMES : VIDEO_BASIC_PARAMETER_NAMES,
-    : [...VIDEO_DURATION_PARAMETER_NAMES, ...VIDEO_RESOLUTION_PARAMETER_NAMES];
+    [videoSoundSupported]
+  );
 
   // Provider badge as title prefix
   const titlePrefix = useMemo(() => (

src/components/nodes/ModelParameters.tsx

@@ -85,6 +85,7 @@ function ModelParametersInner({
   const [error, setError] = useState<string | null>(null);
   // Use stable selector for API keys to prevent unnecessary re-fetches
   const { replicateApiKey, falApiKey, kieApiKey, wavespeedApiKey } = useProviderApiKeys();
+  const lastExpandCountRef = useRef<number | null>(null);
 
   // Fetch schema when modelId changes
   useEffect(() => {
@@ -163,6 +164,7 @@ function ModelParametersInner({
     () => schema.filter((param) => !hiddenParameterSet.has(param.name)),
     [hiddenParameterSet, schema]
   );
+  const visibleParameterCount = visibleSchema.length;
 
   // Remove parameters controlled by a higher-priority surface, such as the bottom composer.
   useEffect(() => {
@@ -202,10 +204,16 @@ function ModelParametersInner({
 
   // Notify parent to resize node when schema loads
   useEffect(() => {
-    if (visibleSchema.length > 0 && onExpandChange) {
+    if (visibleParameterCount === 0) {
-      onExpandChange(true, visibleSchema.length);
+      lastExpandCountRef.current = null;
+      return;
+    }
+    if (lastExpandCountRef.current === visibleParameterCount) return;
+    lastExpandCountRef.current = visibleParameterCount;
+    if (visibleParameterCount > 0 && onExpandChange) {
+      onExpandChange(true, visibleParameterCount);
     }
-  }, [visibleSchema, onExpandChange]);
+  }, [visibleParameterCount, onExpandChange]);
 
   const handleParameterChange = useCallback(
     (name: string, value: unknown) => {

src/store/__tests__/skipPropagation.test.ts

@@ -438,6 +438,32 @@ describe("Skip propagation", () => {
 
       expect(useWorkflowStore.getState().skippedNodeIds.size).toBe(0);
     });
+
+    it("should clear loading status on stopped nodes with existing video output", () => {
+      useWorkflowStore.setState({
+        nodes: [
+          createTestNode("video-1", "generateVideo", {
+            inputImages: [],
+            inputPrompt: "happy fuji",
+            outputVideo: "https://example.com/fuji.mp4",
+            outputVideoStorageStatus: "remote-only",
+            status: "loading",
+            error: null,
+            videoHistory: [],
+            selectedVideoHistoryIndex: 0,
+          }),
+        ],
+        currentNodeIds: ["video-1"],
+        isRunning: true,
+      });
+
+      const store = useWorkflowStore.getState();
+      store.stopWorkflow();
+
+      const node = useWorkflowStore.getState().nodes[0];
+      expect(node.data.status).toBe("complete");
+      expect(node.data.outputVideo).toBe("https://example.com/fuji.mp4");
+    });
   });
 
   describe("Multi-level cascade", () => {

src/store/__tests__/workflowStore.integration.test.ts

@@ -98,6 +98,43 @@ describe("workflowStore integration tests", () => {
     resetStore();
   });
 
+  describe("onNodesChange no-op guards", () => {
+    it("should ignore duplicate measured dimensions from React Flow", () => {
+      const node = {
+        ...createTestNode("video-1", "generateVideo", {}),
+        measured: { width: 360, height: 300 },
+      } as WorkflowNode;
+      const nodes = [node];
+      useWorkflowStore.setState({ nodes, hasUnsavedChanges: false });
+
+      useWorkflowStore.getState().onNodesChange([
+        { id: "video-1", type: "dimensions", dimensions: { width: 360, height: 300 } },
+      ]);
+
+      expect(useWorkflowStore.getState().nodes).toBe(nodes);
+      expect(useWorkflowStore.getState().hasUnsavedChanges).toBe(false);
+    });
+
+    it("should apply dimensions when the measured value changes", () => {
+      useWorkflowStore.setState({
+        nodes: [
+          {
+            ...createTestNode("video-1", "generateVideo", {}),
+            measured: { width: 360, height: 300 },
+          } as WorkflowNode,
+        ],
+        hasUnsavedChanges: false,
+      });
+
+      useWorkflowStore.getState().onNodesChange([
+        { id: "video-1", type: "dimensions", dimensions: { width: 420, height: 300 } },
+      ]);
+
+      expect(useWorkflowStore.getState().nodes[0].measured?.width).toBe(420);
+      expect(useWorkflowStore.getState().hasUnsavedChanges).toBe(false);
+    });
+  });
+
   describe("getConnectedInputs", () => {
     describe("Basic data extraction scenarios", () => {
       it("should extract image from imageInput node", () => {
@@ -2298,15 +2335,45 @@ describe("workflowStore integration tests", () => {
 
         const store = useWorkflowStore.getState();
         await store.loadWorkflow({
+          version: 1,
           id: "test-workflow",
           name: "Test",
           nodes: [],
           edges: [],
+          edgeStyle: "angular",
         });
 
         expect(useWorkflowStore.getState().viewedCommentNodeIds.size).toBe(0);
       });
 
+      it("should clear transient loading status when loading a workflow with an existing video output", async () => {
+        const store = useWorkflowStore.getState();
+        await store.loadWorkflow({
+          version: 1,
+          id: "test-workflow",
+          name: "Happy Fuji",
+          nodes: [
+            createTestNode("video-1", "generateVideo", {
+              inputImages: [],
+              inputPrompt: "happy fuji",
+              outputVideo: "https://example.com/fuji.mp4",
+              outputVideoStorageStatus: "remote-only",
+              status: "loading",
+              error: null,
+              videoHistory: [],
+              selectedVideoHistoryIndex: 0,
+            }),
+          ],
+          edges: [],
+          edgeStyle: "angular",
+        });
+
+        const node = useWorkflowStore.getState().nodes[0];
+        expect(node.data.status).toBe("complete");
+        expect(node.data.outputVideo).toBe("https://example.com/fuji.mp4");
+        expect(node.data.outputVideoStorageStatus).toBe("remote-only");
+      });
+
       it("should promote a NewApiWG fallback when env status is known before workflow load", async () => {
         useWorkflowStore.setState({
           providerSettings: defaultProviderSettings,
@@ -2324,6 +2391,7 @@ describe("workflowStore integration tests", () => {
 
         const store = useWorkflowStore.getState();
         await store.loadWorkflow({
+          version: 1,
           id: "test-workflow",
           name: "Test",
           nodes: [
@@ -2347,6 +2415,7 @@ describe("workflowStore integration tests", () => {
             }),
           ],
           edges: [],
+          edgeStyle: "angular",
         });
 
         const node = useWorkflowStore.getState().nodes[0];

src/store/workflowStore.ts

@@ -596,6 +596,134 @@ function promoteUnavailableGeminiFallbacks(
   return { nodes: nextNodes, changed };
 }
 
+const NODE_OUTPUT_KEYS = [
+  "outputImage",
+  "outputImageRef",
+  "outputVideo",
+  "outputVideoRef",
+  "outputVideoRemoteUrl",
+  "outputAudio",
+  "outputAudioRef",
+  "outputText",
+  "output3dUrl",
+  "savedFilePath",
+  "capturedImage",
+  "capturedImageRef",
+  "image",
+  "imageRef",
+  "video",
+  "videoRef",
+  "audio",
+  "model3d",
+  "glbUrl",
+  "images",
+  "imageRefs",
+  "videos",
+  "videoRefs",
+  "outputItems",
+] as const;
+
+function hasUsableOutputValue(value: unknown): boolean {
+  if (value === null || value === undefined) return false;
+  if (typeof value === "string") {
+    const trimmed = value.trim();
+    return trimmed.length > 0 && trimmed !== "[]";
+  }
+  if (Array.isArray(value)) return value.some(hasUsableOutputValue);
+  return true;
+}
+
+function hasNodeOutput(data: WorkflowNodeData): boolean {
+  const record = data as Record<string, unknown>;
+  return NODE_OUTPUT_KEYS.some((key) => hasUsableOutputValue(record[key]));
+}
+
+function resetTransientExecutionState(nodes: WorkflowNode[]): { nodes: WorkflowNode[]; changed: boolean } {
+  let changed = false;
+  const nextNodes = nodes.map((node) => {
+    const data = node.data as WorkflowNodeData;
+    const status = (data as Record<string, unknown>).status;
+    if (status !== "loading" && status !== "skipped") return node;
+
+    changed = true;
+    return {
+      ...node,
+      data: {
+        ...data,
+        status: hasNodeOutput(data) ? "complete" : "idle",
+        error: null,
+      } as WorkflowNodeData,
+    } as WorkflowNode;
+  });
+
+  return { nodes: nextNodes as WorkflowNode[], changed };
+}
+
+function numbersMatch(a: unknown, b: unknown): boolean {
+  return typeof a === "number" && typeof b === "number" && Math.abs(a - b) < 0.5;
+}
+
+function positionMatches(a: XYPosition | undefined, b: XYPosition | undefined): boolean {
+  return !!a && !!b && numbersMatch(a.x, b.x) && numbersMatch(a.y, b.y);
+}
+
+function isDimensionValueEffective(
+  node: WorkflowNode,
+  axis: "width" | "height",
+  value: number | undefined,
+  setAttributes: boolean | "width" | "height" | undefined,
+): boolean {
+  if (value === undefined) return false;
+
+  if (!numbersMatch(node.measured?.[axis], value)) {
+    return true;
+  }
+
+  if (
+    setAttributes === true ||
+    setAttributes === axis
+  ) {
+    return !numbersMatch(node[axis], value);
+  }
+
+  return false;
+}
+
+function isNodeChangeEffective(
+  change: NodeChange<WorkflowNode>,
+  nodeById: Map<string, WorkflowNode>,
+): boolean {
+  switch (change.type) {
+    case "add":
+    case "replace":
+      return true;
+    case "remove":
+      return nodeById.has(change.id);
+    case "select": {
+      const node = nodeById.get(change.id);
+      return !!node && node.selected !== change.selected;
+    }
+    case "position": {
+      const node = nodeById.get(change.id);
+      if (!node) return false;
+      const positionChanged = change.position !== undefined && !positionMatches(node.position, change.position);
+      const draggingChanged = typeof change.dragging === "boolean" && node.dragging !== change.dragging;
+      return positionChanged || draggingChanged;
+    }
+    case "dimensions": {
+      const node = nodeById.get(change.id);
+      if (!node) return false;
+      const widthChanged = isDimensionValueEffective(node, "width", change.dimensions?.width, change.setAttributes);
+      const heightChanged = isDimensionValueEffective(node, "height", change.dimensions?.height, change.setAttributes);
+      const resizing = (node as WorkflowNode & { resizing?: boolean }).resizing;
+      const resizingChanged = typeof change.resizing === "boolean" && resizing !== change.resizing;
+      return widthChanged || heightChanged || resizingChanged;
+    }
+    default:
+      return true;
+  }
+}
+
 const workflowStoreImpl: StateCreator<WorkflowStore> = (set, get) => ({
   nodes: [],
   edges: [],
@@ -829,18 +957,22 @@ const workflowStoreImpl: StateCreator<WorkflowStore> = (set, get) => ({
   },
 
   onNodesChange: (changes: NodeChange<WorkflowNode>[]) => {
+    const nodeById = new Map(get().nodes.map((node) => [node.id, node]));
+    const effectiveChanges = changes.filter((change) => isNodeChangeEffective(change, nodeById));
+    if (effectiveChanges.length === 0) return;
+
     // Only mark as unsaved for meaningful changes (not selection changes)
-    const hasMeaningfulChange = changes.some(
+    const hasMeaningfulChange = effectiveChanges.some(
       (c) => c.type !== "select" && c.type !== "dimensions"
     );
     // Track manual changes only for remove operations (not position/selection/dimensions)
-    const hasRemoveChange = changes.some((c) => c.type === "remove");
+    const hasRemoveChange = effectiveChanges.some((c) => c.type === "remove");
 
     // Undo: capture snapshot on drag start
-    const hasDragStart = changes.some(
+    const hasDragStart = effectiveChanges.some(
       (c) => c.type === "position" && (c as { dragging?: boolean }).dragging === true
     );
-    const hasDragEnd = changes.some(
+    const hasDragEnd = effectiveChanges.some(
       (c) => c.type === "position" && (c as { dragging?: boolean }).dragging === false
     );
     if (hasDragStart && !isDragging) {
@@ -861,7 +993,7 @@ const workflowStoreImpl: StateCreator<WorkflowStore> = (set, get) => ({
     }
 
     set((state) => ({
-      nodes: applyNodeChanges(changes, state.nodes),
+      nodes: applyNodeChanges(effectiveChanges, state.nodes),
       ...(hasMeaningfulChange ? { hasUnsavedChanges: true } : {}),
     }));
 
@@ -1724,7 +1856,17 @@ const workflowStoreImpl: StateCreator<WorkflowStore> = (set, get) => ({
     if (controller) {
       controller.abort("user-cancelled");
     }
-    set({ isRunning: false, currentNodeIds: [], skippedNodeIds: new Set(), _abortController: null });
+    set((state) => {
+      const reset = resetTransientExecutionState(state.nodes);
+      return {
+        nodes: reset.nodes,
+        isRunning: false,
+        currentNodeIds: [],
+        skippedNodeIds: new Set(),
+        _abortController: null,
+        hasUnsavedChanges: state.hasUnsavedChanges || reset.changed,
+      };
+    });
   },
 
   mockTutorialExecution: async () => {
@@ -2315,6 +2457,14 @@ const workflowStoreImpl: StateCreator<WorkflowStore> = (set, get) => ({
       };
     }
 
+    const restoredExecutionState = resetTransientExecutionState(hydratedWorkflow.nodes as WorkflowNode[]);
+    if (restoredExecutionState.changed) {
+      hydratedWorkflow = {
+        ...hydratedWorkflow,
+        nodes: restoredExecutionState.nodes,
+      };
+    }
+
     // Load cost data for this workflow
     const costData = workflow.id ? loadWorkflowCostData(workflow.id) : null;
 
@@ -2343,7 +2493,6 @@ const workflowStoreImpl: StateCreator<WorkflowStore> = (set, get) => ({
           ? joinBrowserFileSystemPath(directoryPath, "generations")
           : null),
       lastSavedAt: savedConfig?.lastSavedAt || null,
-      hasUnsavedChanges: promotedModels.changed,
       // Restore cost data
       incurredCost: costData?.incurredCost || 0,
       // Track where imageRefs are valid from
@@ -2354,6 +2503,7 @@ const workflowStoreImpl: StateCreator<WorkflowStore> = (set, get) => ({
       viewedCommentNodeIds: new Set<string>(),
       // Dismiss welcome modal after loading a workflow
       showQuickstart: false,
+      hasUnsavedChanges: promotedModels.changed || restoredExecutionState.changed,
     });
 
     // Clear snapshot unless explicitly preserving (e.g., AI workflow generation)