Move library collections as a group and map v2 identity refs.

Collapsed collection actions now move, rename, delete, and rerun every part so chains stay together. Identity mode follows the v2u3 Ref2VA picture wiring.

Co-authored-by: Cursor <cursoragent@cursor.com>

server/utils/workflow.ts

@@ -1,6 +1,7 @@
 // Nitro bundles these JSON graphs into the production server output.
 import workflowV1 from '../assets/workflow_minimax_video.json'
 import workflowV2 from '../assets/workflow_minimax_video_v2.json'
+import { buildIdentityPrompt } from '~/utils/identityPrompt'
 
 export type VideoWorkflowId = 'v1' | 'v2'
 
@@ -69,8 +70,10 @@ export function buildWorkflow(params: GenerateParams) {
   const graph = structuredClone(templateFor(version))
   const width = snap32(params.width)
   const height = snap32(params.height)
-  const refs = (params.referenceImageNames || []).map(name => String(name || '').trim()).filter(Boolean).slice(0, 4)
-  const useRefs = version === 'v2' && params.useIdentityRefs === true && refs.length > 0
+  const refs = Array.from({ length: 4 }, (_, index) => String(params.referenceImageNames?.[index] || '').trim())
+  const extraPictures = refs.flatMap((name, index) => name ? [index + 2] : [])
+  const useRefs = version === 'v2' && params.useIdentityRefs === true
+  const graphPrompt = useRefs ? buildIdentityPrompt(params.prompt, extraPictures) : params.prompt
 
   for (const [id, node] of Object.entries(graph)) {
     if (IMAGE_CLASSES.has(node.class_type) && 'image' in node.inputs && id === '114') {
@@ -78,19 +81,19 @@ export function buildWorkflow(params: GenerateParams) {
     }
 
     if (PROMPT_CLASSES.has(node.class_type) || node.class_type.includes('Qwen3')) {
-      if ('prompt' in node.inputs) node.inputs.prompt = params.prompt
-      if ('text' in node.inputs) node.inputs.text = params.prompt
+      if ('prompt' in node.inputs) node.inputs.prompt = graphPrompt
+      if ('text' in node.inputs) node.inputs.text = graphPrompt
     }
 
     if (node.class_type === 'MiniMaxH3ImageToVideo') {
-      node.inputs.prompt = params.prompt
+      node.inputs.prompt = graphPrompt
       if (typeof node.inputs.width === 'number') node.inputs.width = width
       if (typeof node.inputs.height === 'number') node.inputs.height = height
       if (typeof node.inputs.length === 'number') node.inputs.length = params.length
     }
 
     if (node.class_type === 'MiniMaxH3ReferenceToVideo') {
-      node.inputs.prompt = params.prompt
+      node.inputs.prompt = graphPrompt
       if (!Array.isArray(node.inputs.length)) node.inputs.length = ['174', 1]
     }
 
@@ -190,7 +193,7 @@ export function buildWorkflow(params: GenerateParams) {
     }
   }
 
-  if (version === 'v2') applyV2IdentityPath(graph, params, useRefs, refs)
+  if (version === 'v2') applyV2IdentityPath(graph, params, useRefs, refs, graphPrompt)
 
   if (params.sound === false) {
     delete graph['105:23']
@@ -207,33 +210,31 @@ function applyV2IdentityPath(
   graph: WorkflowGraph,
   params: GenerateParams,
   useRefs: boolean,
-  refs: string[]
+  refs: string[],
+  graphPrompt: string
 ) {
   if (useRefs && graph['155'] && graph['167'] && graph['168']) {
     graph['167'].inputs.latent_image = ['155', 1]
     graph['168'].inputs.conditioning = ['155', 0]
-    graph['155'].inputs.prompt = params.prompt
+    graph['155'].inputs.prompt = graphPrompt
     graph['155'].inputs.length = ['174', 1]
     delete graph['173']
+    if (graph['169']?.inputs) {
+      graph['169'].inputs.unet_name = 'minimax_h3_ref2va_pruned_int8_convrot.safetensors'
+    }
+    if (params.turbo && graph['176']?.inputs) {
+      graph['176'].inputs.lora_name = 'minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors'
+    }
     V2_REF_LOADERS.forEach((id, index) => {
       const name = refs[index]
-      const inputKey = `ref_images.ref_image_${index + 1}`
       if (name && graph[id]) {
         graph[id].inputs.image = name
-      } else {
-        delete graph[id]
-        if (graph['155']?.inputs) delete graph['155'].inputs[inputKey]
+        return
       }
+      delete graph[id]
+      if (graph['155']?.inputs) delete graph['155'].inputs[`ref_images.ref_image_${index + 1}`]
     })
-    graph['v2:cfg'] = {
-      class_type: 'FluxGuidance',
-      inputs: {
-        guidance: params.cfg,
-        conditioning: ['155', 0]
-      },
-      _meta: { title: 'Guidance scale' }
-    }
-    graph['168'].inputs.conditioning = ['v2:cfg', 0]
+    if (graph['150']?.inputs) graph['150'].inputs.value = true
     return
   }