Match V2 turbo to the local graph: FL2VA models and 6 lightning steps.

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

server/api/extend.post.ts

@@ -64,7 +64,7 @@ export default defineEventHandler(async (event) => {
   const cfg = parseCfg(source.cfg, turbo)
   const samplerName = parseSampler(source.samplerName)
   const scheduler = parseScheduler(source.scheduler)
-  const steps = Number(source.steps || (turbo ? 8 : 20))
+  const steps = Number(source.steps || defaultVideoSteps(turbo, parseVideoWorkflow(source.workflow)))
   const seed = Math.floor(Math.random() * 2_147_483_647)
   const length = frameLength(durationSeconds, fps)
   const width = source.width || 1344

server/api/generate.post.ts

@@ -116,7 +116,7 @@ export default defineEventHandler(async (event) => {
 
   const { width, height } = resolveOutputSize(fields.aspect, image.data, Number(fields.width), Number(fields.height))
   const turbo = fields.turbo !== 'false'
-  const steps = Number(fields.steps || (turbo ? 8 : 20))
+  const steps = Number(fields.steps || defaultVideoSteps(turbo, workflow))
   const seed = fields.seed && fields.seed !== 'random'
     ? Number(fields.seed)
     : Math.floor(Math.random() * 2_147_483_647)

server/utils/watch.ts

@@ -4,7 +4,7 @@ import type { Job, JobEvent } from '~/server/utils/jobs'
 function classifyError(message: string) {
   const lower = message.toLowerCase()
   if (lower.includes('out of memory') || (lower.includes('cuda') && lower.includes('alloc')) || lower.includes('vram')) {
-    return 'ComfyUI VRAM allocation failed. Try Turbo (8 steps) or a smaller aspect ratio.'
+    return 'ComfyUI VRAM allocation failed. Try Turbo or a smaller aspect ratio.'
   }
   if (lower.includes('econnrefused') || lower.includes('unreachable') || lower.includes('fetch failed')) {
     return 'ComfyUI host connection dropped. Confirm the desktop instance is running and reachable on the LAN.'

server/utils/workflow.ts

@@ -191,7 +191,7 @@ export function buildWorkflow(params: GenerateParams) {
       graph[qualityId].inputs.value = params.turbo ? 20 : params.steps
     }
     if (turboId && graph[turboId]?.class_type === 'PrimitiveInt') {
-      graph[turboId].inputs.value = params.turbo ? params.steps : 8
+      graph[turboId].inputs.value = params.turbo ? params.steps : (params.workflow === 'v2' ? 6 : 8)
     }
   }