Add LoRA stacks with per-item strengths and named video/image generation presets so setups survive reload without mixing Klein onto MiniMax. Keep LTX Pink Cherry and xAIGen LoRAs on xAIGen, and run Recommend on Beast.

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

server/utils/workflow.ts

@@ -3,10 +3,14 @@ import workflowV1 from '../assets/workflow_minimax_video.json'
 import workflowV2 from '../assets/workflow_minimax_video_v2.json'
 import workflowLtx from '../assets/workflow_ltx_video.json'
 import { buildIdentityPrompt } from '~/utils/identityPrompt'
+import { applyUserLoraToGraph } from '~/server/utils/loras'
+import type { LoraStackItem } from '~/utils/loras'
 import {
   isLtxWorkflow,
   isTextToVideo,
+  LTX_DISABLED_MESSAGE,
   LTX_NEGATIVE,
+  ltxWorkflowEnabled,
   parseVideoWorkflow,
   type VideoWorkflowId
 } from '~/utils/videoModels'
@@ -33,6 +37,8 @@ export interface GenerateParams {
   duration?: number
   useIdentityRefs?: boolean
   referenceImageNames?: string[]
+  loraName?: string
+  loraStack?: LoraStackItem[]
 }
 
 type WorkflowNode = { class_type: string; inputs: Record<string, unknown>; _meta?: { title?: string } }
@@ -74,6 +80,9 @@ function templateFor(id: VideoWorkflowId) {
 
 export function buildWorkflow(params: GenerateParams) {
   const version = parseVideoWorkflow(params.workflow)
+  if (isLtxWorkflow(version) && !ltxWorkflowEnabled()) {
+    throw new Error(LTX_DISABLED_MESSAGE)
+  }
   if (isLtxWorkflow(version)) return buildLtxWorkflow(params, version)
 
   const graph = structuredClone(templateFor(version === 't2v' ? 'v1' : version === 'v2' ? 'v2' : 'v1'))
@@ -216,6 +225,7 @@ export function buildWorkflow(params: GenerateParams) {
     if (graph['105:104']?.inputs) delete graph['105:104'].inputs.audio_vae
   }
 
+  applyUserLoraToGraph(graph, params.loraStack || params.loraName)
   return graph
 }
 
@@ -288,6 +298,7 @@ function buildLtxWorkflow(params: GenerateParams, version: VideoWorkflowId) {
     if (graph['12']?.inputs) graph['12'].inputs.latent = ['8', 0]
     if (graph['14']?.inputs) graph['14'].inputs.latent_image = ['8', 0]
   }
+  applyUserLoraToGraph(graph, params.loraStack || params.loraName)
   return graph
 }
 
@@ -366,6 +377,7 @@ const LABEL_OVERRIDES: Record<string, string> = {
   '105:104': 'Encoding prompt & latent',
   '105:107': 'Computing duration',
   '105:111': 'Setting duration',
+  'user:lora': 'Applying LoRA',
   '105:121': 'Applying turbo LoRA',
   '105:122': 'Selecting model path',
   '105:123': 'Selecting steps',