Show Flux and Krea as Image v2 engine cards, and run Krea on edit, compose, and refine.

Krea image-to-image uses encode plus denoise graphs, not Klein reference latents, and still fails closed if the Krea models are missing.

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

server/api/v2/generate.post.ts

@@ -12,6 +12,8 @@ import {
   IMAGE_V2_TURBO_CFG,
   IMAGE_V2_TURBO_STEPS,
   IMAGE_V2_KREA_CFG,
+  IMAGE_V2_KREA_COMPOSE_DENOISE,
+  IMAGE_V2_KREA_EDIT_DENOISE,
   IMAGE_V2_KREA_STEPS,
   IMAGE_V2_DENOISE_DEFAULT,
   clampImageV2Denoise,
@@ -180,13 +182,7 @@ export default defineEventHandler(async (event) => {
   const hideInput = parseBool(fields.hideInput)
   const hideThumbnail = parseBool(fields.hideThumbnail)
   const requestedEngine = parseImageV2Engine(fields.engine, 'flux')
-  if (requestedEngine === 'krea' && mode !== 'generate') {
-    throw createError({
-      statusCode: 400,
-      statusMessage: 'Krea is available on Generate first.'
-    })
-  }
-  const engine = mode === 'generate' ? requestedEngine : 'flux'
+  const engine = requestedEngine
   const turbo = parseBool(fields.turbo)
   const steps = engine === 'krea'
     ? clampImageSteps(fields.steps, IMAGE_V2_KREA_STEPS)
@@ -207,7 +203,14 @@ export default defineEventHandler(async (event) => {
   const v2Task = (
     mode === 'generate' ? 't2i' : mode === 'refine' ? 'refine' : mode === 'edit' ? 'scene' : task
   ) as ImageV2Task
-  const refineStrength = mode === 'refine' ? clampImageV2Denoise(fields.strength, IMAGE_V2_DENOISE_DEFAULT) : undefined
+  const refineStrength = mode === 'generate'
+    ? undefined
+    : engine === 'krea' || mode === 'refine'
+      ? clampImageV2Denoise(
+        fields.strength,
+        mode === 'compose' ? IMAGE_V2_KREA_COMPOSE_DENOISE : mode === 'edit' ? IMAGE_V2_KREA_EDIT_DENOISE : IMAGE_V2_DENOISE_DEFAULT
+      )
+      : undefined
   const generateConsistencyModel = clampImageV2Strength(
     fields.consistency_model,
     mode === 'generate' || engine === 'krea' ? 0 : IMAGE_V2_CONSISTENCY_MODEL