Add Krea as a second Image v2 Generate engine beside Flux.

Generate can queue krea_v2_generate.json without sharing Klein encoders or falling back if Krea assets are missing. Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-29 07:05:01 -05:00
parent be5211f488
commit f6663444f5
11 changed files with 567 additions and 108 deletions
@@ -6,12 +6,12 @@ Image edit (v1) and Image v2 are siblings. v1 is unchanged. Do not mute-fix `wor
 |---|---|---|
 | Tab | Image edit | Image v2 |
 | Route | `POST /api/edit` | `POST /api/v2/generate` and `POST /v2/generate` |
-| Graphs | One file, prune unused branch | `klein_v2_edit.json`, `klein_v2_compose.json`, `klein_v2_refine.json`, or `klein_v2_generate.json` |
+| Graphs | One file, prune unused branch | `klein_v2_edit.json`, `klein_v2_compose.json`, `klein_v2_refine.json`, `klein_v2_generate.json`, or `krea_v2_generate.json` |
 | Second still | Optional; switches branch | Compose only; required. Mismatch is a 400 |
 | Mask | — | Refine only; required. Missing mask is a 400, not an Edit fallback |
 | Input still | Required | Edit / Compose / Refine required. Generate ignores stills |
-| LoRAs | Optional user picker | SNOFS + Consistency, four strengths. Generate defaults Consistency off |
-| Defaults | 20 steps, CFG 1 | 24 steps, CFG 4 (turbo: 8 / 1) |
+| LoRAs | Optional user picker | Concept LoRA + Consistency (Flux). Generate Consistency off. Krea Generate has no Consistency |
+| Defaults | 20 steps, CFG 1 | Flux: 24 steps, CFG 4 (turbo: 8 / 1). Krea Generate: 8 steps, CFG 1 |

 Poll v2 jobs the same way as v1: `GET /api/generate/{id}/stream` and `GET /api/generate/{id}`.

@@ -20,7 +20,7 @@ Poll v2 jobs the same way as v1: `GET /api/generate/{id}/stream` and `GET /api/g
 - **edit** — one image + text. Task is `scene`. Sending `image_b` is rejected. Use this to change lighting, background, or the whole frame from a single still.
 - **compose** — two images + text. `image_b` is required. No silent one-image fallback. Use this to lock a person from A and pull a face or outfit from B.
 - **refine** — one canvas + a painted mask + text. `image_a` and `mask` are required. `image_b` is ignored. Prompt only what should change inside the mask. Strength is denoise in that region (not CFG). Use this for face / hand / chest fixes without opening Comfy.
- **generate** — text only. No `image_a`, `image_b`, or mask. Size is width × height (768 / 1024 / 1280), not megapixels from a still. Use this to make a new Klein still from a prompt.
+- **generate** — text only. No `image_a`, `image_b`, or mask. Size is width × height (768 / 1024 / 1280), not megapixels from a still. Engine is Flux (`klein_v2_generate.json`) or Krea (`krea_v2_generate.json`). Edit / Compose / Refine stay Flux.

 Compose tasks:

@@ -35,7 +35,8 @@ Dummy tests:

 - Compose + two unrelated photos + “keep everything the same” must change the output. If it matches old v1 gens, still B is not connected.
 - Refine + last good gen + mask on the left breast + “red X painted on the left breast” at strength 0.4. Pass = X on the breast, face/pose/background stay. Fail = whole image regenerates, or nothing changes.
- Generate + “a red cube on a white table, studio light” and no stills. Pass = a new image of that. Fail = missing-image error, or the output equals the last Edit/Compose still.
+- Generate + Flux + “a red cube on a white table, studio light” and no stills. Pass = a new image of that. Fail = missing-image error, or the output equals the last Edit/Compose still.
+- Generate + Krea + the same prompt. Pass = `krea_v2_generate.json` is queued. Fail = Flux graph runs under a Krea label, or a missing Krea model falls back to Flux.

 ## Nodes the mapper patches

@@ -45,7 +46,7 @@ Edit and Compose:
 |------|------|
 | `1` | Load Image A (`inputs.image`) |
 | `2` / `23` | Scale to MP, lanczos (`megapixels`) |
-| `7` | SNOFS LoRA (`lora_name`, `strength_model`, `strength_clip`) |
+| `7` | Concept LoRA (`lora_name`, `strength_model`, `strength_clip`) |
 | `8` | Consistency LoRA (`lora_name`, `strength_model`, `strength_clip`) |
 | `9` | Positive `CLIPTextEncode.text` (role header + user prompt on Compose) |
 | `10` | Negative `CLIPTextEncode.text` |
@@ -75,16 +76,29 @@ Refine only (`klein_v2_refine.json`):
 | `17` | `BasicScheduler.denoise` — this is Strength, not CFG |
 | `19` | Sampler starts from the masked canvas latent, not an empty Flux2 latent |

-Generate only (`klein_v2_generate.json`):
+Generate Flux (`klein_v2_generate.json`):

 | Node | Role |
 |------|------|
 | `14` | `EmptyFlux2LatentImage` at request width × height |
 | `17` | `Flux2Scheduler` steps + the same size |
-| `7` | SNOFS LoRA |
+| `7` | Concept LoRA (Klein file) |
 | `8` | Consistency LoRA — removed at runtime when both strengths are 0 |
 | `9` / `10` | Prompt / negative from the API (no leftover widget text) |

+Generate Krea (`krea_v2_generate.json`):
+
+| Node | Role |
+|------|------|
+| `4` | `UNETLoader` — `krea2_turbo_mxfp8`, then `nvfp4`, then `fp8_scaled` |
+| `5` | `CLIPLoader` type `krea2` — `qwen3vl_4b_fp8_scaled.safetensors` |
+| `6` | `VAELoader` — `qwen_image_vae.safetensors` |
+| `14` | `EmptyLatentImage` at request width × height |
+| `15` | `KSampler` euler / simple, default 8 steps, CFG 1 |
+| `9` / `10` | Prompt / negative from the API |
+
+Krea does not load Klein UNET, Klein CLIP, Klein VAE, Klein Consistency, or the Klein concept LoRA. Missing Krea diffusion / text encoder / VAE fails the job. Concept LoRA on Krea is off unless `NUXT_KREA_CONCEPT_LORA` is set.
+
 There is no `LoadImage`. If the executed Generate graph has a required LoadImage, the job fails. v1 node 145 (muted T2I with a baked prompt) is not used.

 If `image_b` is sent on Edit/Compose and the executed graph has fewer than two `LoadImage` nodes, the job fails. If Refine runs without a mask input or without denoise on the scheduler, the job fails.
@@ -93,10 +107,10 @@ If `image_b` is sent on Edit/Compose and the executed graph has fewer than two `

 | Slider | Default |
 |--------|---------|
-| SNOFS Model | 0.65 |
-| SNOFS CLIP | 0.35 |
-| Consistency Model | 0.70 |
-| Consistency CLIP | 0.70 |
+| Concept LoRA — Model | 0.65 on Flux. 0 on Krea |
+| Concept LoRA — CLIP | 0.35 on Flux. 0 on Krea |
+| Consistency — Model | 0.70 on Flux Edit/Compose/Refine. Off on Generate |
+| Consistency — CLIP | 0.70 on Flux Edit/Compose/Refine. Off on Generate |
 | Steps | 24 (turbo 8) |
 | CFG | 4 (turbo 1) |
 | Scale to MP | 1.0 lanczos |
@@ -108,17 +122,16 @@ If `image_b` is sent on Edit/Compose and the executed graph has fewer than two `
 | Preset | Strength | SNOFS model / CLIP | Consistency | Use for |
 |--------|----------|--------------------|-------------|---------|
 | Face | 0.25–0.35 (chip 0.28) | 0.55 / 0.25 | 0.75 / 0.80 | Glasses, cheeks, jaw. Keep the rest of the canvas. |
-| Hand / chest | 0.35–0.45 (chip 0.40) | 0.65 / 0.30 | 0.70 / 0.70 | Hands, breasts, local contact. Dummy test uses 0.40. |
+| Hand / chest | 0.35–0.45 (chip 0.40) | 0.65 / 0.30 | 0.70 / 0.70 | Hands or chest, local contact. Dummy test uses 0.40. |
 | Heavy | 0.55 | current sliders | current sliders | Stubborn region that barely moved at 0.40. |

 Do not raise Strength to rewrite the whole frame. If the face or background moves, the mask is too big or Strength is too high.

-### NSFW identity vs outfit swap
-
- **identity / face_lock** — keep Consistency at 0.70 / 0.70 so the face from A (identity) or B (face_lock) holds. Do not drop SNOFS CLIP below ~0.30 or the skin/body read falls apart.
- **outfit** — keep SNOFS Model ~0.65 so cloth reads; do not raise it past ~0.85 or it starts rewriting the body from A. Consistency stays at 0.70 so the person in A does not become the person in B.
+- **identity / face_lock** — keep Consistency at 0.70 / 0.70 so the face from A (identity) or B (face_lock) holds. Do not drop Concept LoRA CLIP below ~0.30 or the skin/body read falls apart.
+- **outfit** — keep Concept LoRA Model ~0.65 so cloth reads; do not raise it past ~0.85 or it starts rewriting the body from A. Consistency stays at 0.70 so the person in A does not become the person in B.
 - **scene / edit** — start at the table defaults. Turbo is for drafts only.
 - **refine** — prompt only the masked change. Face vs hand/chest chips set Strength and LoRAs together.
- **generate** — SFW scene = SNOFS 0 / 0. SNOF T2I = SNOFS 0.65 / 0.35. Consistency stays 0. Turbo is 8 steps / CFG 1.
+- **generate / Flux** — Concept LoRA defaults 0.65 / 0.35. Consistency stays 0. Turbo is 8 steps / CFG 1.
+- **generate / Krea** — 8 steps, CFG 1, no Consistency. Concept LoRA stays 0 unless a Krea concept file is configured.

-Presets on this tab store sliders + mode + task (+ Strength when Refine, + size when Generate). They do not load v1 LoRA stacks or a cached latent.
+Presets on this tab store sliders + mode + task + engine (+ Strength when Refine, + size when Generate). They do not load v1 LoRA stacks or a cached latent. Missing engine on an old preset is Flux.
@@ -53,12 +53,14 @@ export default defineNuxtConfig({
    authPassword: process.env.AUTH_PASSWORD || '',
    purgeComfyOutputs: process.env.PURGE_COMFY_OUTPUTS !== 'false',
    comfyFilenamePrefix: process.env.COMFY_FILENAME_PREFIX || 'video/MiniMax_H3',
+    kreaConceptLora: process.env.NUXT_KREA_CONCEPT_LORA || '',
    public: {
      authEnabled: process.env.NUXT_PUBLIC_AUTH_ENABLED === 'true',
      authMode: process.env.NUXT_PUBLIC_AUTH_MODE || process.env.AUTH_MODE || '',
      instanceName: process.env.NUXT_PUBLIC_INSTANCE_NAME || 'AIGen',
      // NUXT_PUBLIC_STUDIO=xaigen on the xAIGen Coolify app (LTX Pink Cherry + xAIGen-prefixed LoRAs)
-      studio: process.env.NUXT_PUBLIC_STUDIO || ''
+      studio: process.env.NUXT_PUBLIC_STUDIO || '',
+      kreaConceptLora: process.env.NUXT_PUBLIC_KREA_CONCEPT_LORA || process.env.NUXT_KREA_CONCEPT_LORA || ''
    }
  },
  nitro: {
@@ -66,7 +66,7 @@
          <h2 class="font-display text-2xl font-bold">Input</h2>
          <p class="text-sm text-zinc-400">{{ studioMode === 'editv2'
            ? (v2Mode === 'generate'
-              ? 'Generate: no reference image. Prompt only. Klein 9B Base text-to-image.'
+              ? 'Generate: no reference image. Prompt only.'
              : v2Mode === 'refine'
              ? 'Refine: paint a mask on Still A. Prompt only what should change in the painted area. Strength is denoise in that region.'
              : v2Mode === 'compose'
@@ -710,10 +710,33 @@
          />
        </div>
        <div v-else-if="studioMode === 'editv2'" class="space-y-3">
-          <p class="text-xs text-zinc-500">Klein v2 · 9B Base · euler. Edit, Compose, Refine, and Generate are separate graphs. Shares the desktop GPU with video.</p>
-          <div v-if="v2Mode === 'generate'" class="space-y-2 rounded-2xl border border-white/10 bg-zinc-950/40 p-3">
+          <p class="text-xs text-zinc-500">Edit, Compose, Refine, and Generate are separate graphs. Shares the desktop GPU with video.</p>
+          <div v-if="v2Mode === 'generate'" class="space-y-3 rounded-2xl border border-white/10 bg-zinc-950/40 p-3">
+            <div>
+              <p class="text-xs text-zinc-400">Engine</p>
+              <div class="mt-2 flex flex-wrap gap-2">
+                <button
+                  type="button"
+                  class="rounded-full border px-2.5 py-1 text-xs"
+                  :class="v2Engine === 'flux' ? 'border-amber-300/70 text-amber-100' : 'border-white/10 text-zinc-400'"
+                  @click="setV2Engine('flux')"
+                >
+                  Flux
+                </button>
+                <button
+                  type="button"
+                  class="rounded-full border px-2.5 py-1 text-xs"
+                  :class="v2Engine === 'krea' ? 'border-amber-300/70 text-amber-100' : 'border-white/10 text-zinc-400'"
+                  @click="setV2Engine('krea')"
+                >
+                  Krea
+                </button>
+              </div>
+              <p class="mt-2 text-xs text-zinc-500">Flux is the current edit and compose engine. Krea is a separate photograph engine.</p>
+            </div>
+            <div>
              <p class="text-xs text-zinc-400">Size · near 1 MP</p>
-            <div class="flex flex-wrap gap-2">
+              <div class="mt-2 flex flex-wrap gap-2">
                <button
                  v-for="(pair, aspect) in IMAGE_V2_GENERATE_ASPECTS"
                  :key="aspect"
@@ -725,23 +748,6 @@
                  {{ aspect }} · {{ pair[0] }}×{{ pair[1] }}
                </button>
              </div>
-            <div class="flex flex-wrap gap-2">
-              <button
-                type="button"
-                class="rounded-full border px-2.5 py-1 text-xs"
-                :class="v2SnofsModel === 0 && v2SnofsClip === 0 ? 'border-amber-300/70 text-amber-100' : 'border-white/10 text-zinc-400'"
-                @click="applyGenerateLook('sfw')"
-              >
-                SFW scene
-              </button>
-              <button
-                type="button"
-                class="rounded-full border px-2.5 py-1 text-xs"
-                :class="v2SnofsModel === IMAGE_V2_GENERATE_SNOFS.snofsModel && v2SnofsClip === IMAGE_V2_GENERATE_SNOFS.snofsClip ? 'border-amber-300/70 text-amber-100' : 'border-white/10 text-zinc-400'"
-                @click="applyGenerateLook('snofs')"
-              >
-                SNOF T2I
-              </button>
            </div>
          </div>
          <div v-if="v2Mode === 'refine'" class="space-y-2 rounded-2xl border border-white/10 bg-zinc-950/40 p-3">
@@ -788,19 +794,36 @@
          </div>
          <div class="grid grid-cols-2 gap-3">
            <label class="block text-sm">
-              <span class="mb-1 block text-zinc-400">SNOFS Model</span>
-              <input v-model.number="v2SnofsModel" type="number" min="0" max="2" step="0.05" class="w-full rounded-xl border border-white/10 bg-zinc-950 px-3 py-2 text-sm outline-none ring-amber-300/40 focus:ring-2">
+              <span class="mb-1 block text-zinc-400">Concept LoRA — Model</span>
+              <input
+                v-model.number="v2SnofsModel"
+                type="number"
+                min="0"
+                max="2"
+                step="0.05"
+                :disabled="v2Engine === 'krea' && !kreaConceptConfigured"
+                class="w-full rounded-xl border border-white/10 bg-zinc-950 px-3 py-2 text-sm outline-none ring-amber-300/40 focus:ring-2 disabled:opacity-50"
+              >
            </label>
            <label class="block text-sm">
-              <span class="mb-1 block text-zinc-400">SNOFS CLIP</span>
-              <input v-model.number="v2SnofsClip" type="number" min="0" max="2" step="0.05" class="w-full rounded-xl border border-white/10 bg-zinc-950 px-3 py-2 text-sm outline-none ring-amber-300/40 focus:ring-2">
+              <span class="mb-1 block text-zinc-400">Concept LoRA — CLIP</span>
+              <input
+                v-model.number="v2SnofsClip"
+                type="number"
+                min="0"
+                max="2"
+                step="0.05"
+                :disabled="v2Engine === 'krea' && !kreaConceptConfigured"
+                class="w-full rounded-xl border border-white/10 bg-zinc-950 px-3 py-2 text-sm outline-none ring-amber-300/40 focus:ring-2 disabled:opacity-50"
+              >
            </label>
-            <label v-if="v2Mode !== 'generate'" class="block text-sm">
-              <span class="mb-1 block text-zinc-400">Consistency Model</span>
+            <p v-if="v2Engine === 'krea' && !kreaConceptConfigured" class="col-span-2 text-xs text-zinc-500">No Krea concept LoRA is configured.</p>
+            <label v-if="v2Mode !== 'generate' && v2Engine !== 'krea'" class="block text-sm">
+              <span class="mb-1 block text-zinc-400">Consistency — Model</span>
              <input v-model.number="v2ConsistencyModel" type="number" min="0" max="2" step="0.05" class="w-full rounded-xl border border-white/10 bg-zinc-950 px-3 py-2 text-sm outline-none ring-amber-300/40 focus:ring-2">
            </label>
-            <label v-if="v2Mode !== 'generate'" class="block text-sm">
-              <span class="mb-1 block text-zinc-400">Consistency CLIP</span>
+            <label v-if="v2Mode !== 'generate' && v2Engine !== 'krea'" class="block text-sm">
+              <span class="mb-1 block text-zinc-400">Consistency — CLIP</span>
              <input v-model.number="v2ConsistencyClip" type="number" min="0" max="2" step="0.05" class="w-full rounded-xl border border-white/10 bg-zinc-950 px-3 py-2 text-sm outline-none ring-amber-300/40 focus:ring-2">
            </label>
            <label class="block text-sm">
@@ -820,7 +843,7 @@
              <input v-model.number="v2Megapixels" type="number" :min="IMAGE_SCALE_MP_MIN" :max="IMAGE_SCALE_MP_MAX" :step="IMAGE_SCALE_MP_STEP" class="w-full rounded-xl border border-white/10 bg-zinc-950 px-3 py-2 text-sm outline-none ring-amber-300/40 focus:ring-2">
            </label>
          </div>
-          <label class="flex cursor-pointer items-center gap-2 text-xs text-zinc-400">
+          <label v-if="v2Engine !== 'krea'" class="flex cursor-pointer items-center gap-2 text-xs text-zinc-400">
            <span class="relative inline-flex h-5 w-9 shrink-0 items-center">
              <input v-model="v2Turbo" type="checkbox" class="peer sr-only" role="switch">
              <span class="absolute inset-0 rounded-full bg-zinc-700 transition peer-checked:bg-amber-400" />
@@ -1959,9 +1982,10 @@ import {
  IMAGE_V2_DENOISE_STEP,
  IMAGE_V2_GENERATE_ASPECTS,
  IMAGE_V2_GENERATE_HEIGHT,
-  IMAGE_V2_GENERATE_SNOFS,
-  IMAGE_V2_GENERATE_SFW,
  IMAGE_V2_GENERATE_WIDTH,
+  IMAGE_V2_KREA_CFG,
+  IMAGE_V2_KREA_CONCEPT_LORA,
+  IMAGE_V2_KREA_STEPS,
  IMAGE_V2_REFINE_FACE,
  IMAGE_V2_REFINE_FACE_PROMPT,
  IMAGE_V2_REFINE_HAND,
@@ -1972,6 +1996,8 @@ import {
  clampImageV2Denoise,
  clampImageV2Size,
  clampImageV2Strength,
+  parseImageV2Engine,
+  type ImageV2Engine,
  type ImageV2GenerateAspect,
  type ImageV2Mode,
  type ImageV2PresetSettings,
@@ -2245,7 +2271,9 @@ const editScaleMegapixels = ref(1)
 const editRefFile = ref<File | null>(null)
 const editRefPreview = ref('')
 const v2Mode = ref<ImageV2Mode>('edit')
+const v2Engine = ref<ImageV2Engine>('flux')
 const v2Task = ref<ImageV2Task>('scene')
+const kreaConceptConfigured = computed(() => Boolean(String(runtimeConfig.public.kreaConceptLora || IMAGE_V2_KREA_CONCEPT_LORA || '').trim()))
 const v2Negative = ref('')
 const v2SnofsModel = ref(IMAGE_V2_SNOFS_MODEL)
 const v2SnofsClip = ref(IMAGE_V2_SNOFS_CLIP)
@@ -3469,6 +3497,7 @@ function currentPresetSnapshot() {
      loraStack: [],
      settings: {
        mode: v2Mode.value,
+        engine: v2Mode.value === 'generate' ? v2Engine.value : 'flux',
        task: v2Mode.value === 'compose' ? v2Task.value : v2Mode.value === 'refine' ? 'refine' : v2Mode.value === 'generate' ? 't2i' : 'scene',
        negative: v2Negative.value,
        snofsModel: clampImageV2Strength(v2SnofsModel.value, IMAGE_V2_SNOFS_MODEL),
@@ -3521,6 +3550,7 @@ function applyGenerationPreset(preset: GenerationPreset) {
  if (preset.kind === 'imagev2') {
    const settings = preset.settings as ImageV2PresetSettings
    v2Mode.value = settings.mode === 'compose' ? 'compose' : settings.mode === 'refine' ? 'refine' : settings.mode === 'generate' ? 'generate' : 'edit'
+    v2Engine.value = v2Mode.value === 'generate' ? parseImageV2Engine(settings.engine, 'flux') : 'flux'
    v2Task.value = v2Mode.value === 'compose' ? (settings.task || 'scene') : v2Mode.value === 'refine' ? 'refine' : v2Mode.value === 'generate' ? 't2i' : 'scene'
    if (typeof settings.negative === 'string') v2Negative.value = settings.negative
    v2SnofsModel.value = clampImageV2Strength(settings.snofsModel, IMAGE_V2_SNOFS_MODEL)
@@ -4803,6 +4833,7 @@ function applyStillSettings(still: LibraryStill) {
      ? settings.mode
      : 'edit'
    setV2Mode(mode)
+    v2Engine.value = mode === 'generate' ? parseImageV2Engine(settings.engine, 'flux') : 'flux'
    if (!settings) return
    if (typeof settings.negative === 'string') v2Negative.value = settings.negative
    if (settings.snofsModel != null) v2SnofsModel.value = clampImageV2Strength(settings.snofsModel, IMAGE_V2_SNOFS_MODEL)
@@ -5424,11 +5455,36 @@ function setV2Mode(mode: ImageV2Mode) {
    v2Task.value = 't2i'
    v2ConsistencyModel.value = 0
    v2ConsistencyClip.value = 0
-  } else if (previous === 'generate' && v2ConsistencyModel.value === 0 && v2ConsistencyClip.value === 0) {
+  } else {
+    v2Engine.value = 'flux'
+    if (previous === 'generate' && v2ConsistencyModel.value === 0 && v2ConsistencyClip.value === 0) {
      v2ConsistencyModel.value = IMAGE_V2_CONSISTENCY_MODEL
      v2ConsistencyClip.value = IMAGE_V2_CONSISTENCY_CLIP
    }
  }
+}
+
+function setV2Engine(engine: ImageV2Engine) {
+  if (engine === 'krea' && v2Mode.value !== 'generate') return
+  const previous = v2Engine.value
+  v2Engine.value = engine
+  if (engine === 'krea') {
+    v2Steps.value = IMAGE_V2_KREA_STEPS
+    v2Cfg.value = IMAGE_V2_KREA_CFG
+    v2SnofsModel.value = 0
+    v2SnofsClip.value = 0
+    v2ConsistencyModel.value = 0
+    v2ConsistencyClip.value = 0
+    v2Turbo.value = false
+    return
+  }
+  if (previous === 'krea') {
+    v2Steps.value = IMAGE_V2_STEPS_DEFAULT
+    v2Cfg.value = IMAGE_V2_CFG_DEFAULT
+    v2SnofsModel.value = IMAGE_V2_SNOFS_MODEL
+    v2SnofsClip.value = IMAGE_V2_SNOFS_CLIP
+  }
+}

 function setGenerateSize(aspect: ImageV2GenerateAspect) {
  const [width, height] = IMAGE_V2_GENERATE_ASPECTS[aspect]
@@ -5436,14 +5492,6 @@ function setGenerateSize(aspect: ImageV2GenerateAspect) {
  v2Height.value = height
 }

-function applyGenerateLook(kind: 'sfw' | 'snofs') {
-  const look = kind === 'sfw' ? IMAGE_V2_GENERATE_SFW : IMAGE_V2_GENERATE_SNOFS
-  v2SnofsModel.value = look.snofsModel
-  v2SnofsClip.value = look.snofsClip
-  v2ConsistencyModel.value = 0
-  v2ConsistencyClip.value = 0
-}
-
 function applyRefinePreset(kind: 'face' | 'hand' | 'heavy') {
  if (kind === 'face') {
    v2Denoise.value = IMAGE_V2_REFINE_FACE.strength
@@ -5537,15 +5585,16 @@ async function editImageV2() {
      const size = clampImageV2Size(v2Width.value, v2Height.value)
      body.append('width', String(size.width))
      body.append('height', String(size.height))
+      body.append('engine', v2Engine.value)
    }
    body.append('prompt', prompt.value.trim())
    body.append('negative', v2Negative.value)
-    body.append('snofs_model', String(clampImageV2Strength(v2SnofsModel.value, IMAGE_V2_SNOFS_MODEL)))
-    body.append('snofs_clip', String(clampImageV2Strength(v2SnofsClip.value, IMAGE_V2_SNOFS_CLIP)))
-    body.append('consistency_model', String(v2Mode.value === 'generate' ? 0 : clampImageV2Strength(v2ConsistencyModel.value, IMAGE_V2_CONSISTENCY_MODEL)))
-    body.append('consistency_clip', String(v2Mode.value === 'generate' ? 0 : clampImageV2Strength(v2ConsistencyClip.value, IMAGE_V2_CONSISTENCY_CLIP)))
-    body.append('steps', String(clampImageSteps(v2Steps.value, IMAGE_V2_STEPS_DEFAULT)))
-    body.append('cfg', String(clampImageCfg(v2Cfg.value, IMAGE_V2_CFG_DEFAULT)))
+    body.append('snofs_model', String(clampImageV2Strength(v2SnofsModel.value, v2Engine.value === 'krea' ? 0 : IMAGE_V2_SNOFS_MODEL)))
+    body.append('snofs_clip', String(clampImageV2Strength(v2SnofsClip.value, v2Engine.value === 'krea' ? 0 : IMAGE_V2_SNOFS_CLIP)))
+    body.append('consistency_model', String(v2Mode.value === 'generate' || v2Engine.value === 'krea' ? 0 : clampImageV2Strength(v2ConsistencyModel.value, IMAGE_V2_CONSISTENCY_MODEL)))
+    body.append('consistency_clip', String(v2Mode.value === 'generate' || v2Engine.value === 'krea' ? 0 : clampImageV2Strength(v2ConsistencyClip.value, IMAGE_V2_CONSISTENCY_CLIP)))
+    body.append('steps', String(clampImageSteps(v2Steps.value, v2Engine.value === 'krea' ? IMAGE_V2_KREA_STEPS : IMAGE_V2_STEPS_DEFAULT)))
+    body.append('cfg', String(clampImageCfg(v2Cfg.value, v2Engine.value === 'krea' ? IMAGE_V2_KREA_CFG : IMAGE_V2_CFG_DEFAULT)))
    if (v2Mode.value !== 'generate') body.append('megapixels', String(clampImageScaleMegapixels(v2Megapixels.value, 1)))
    body.append('turbo', String(v2Turbo.value === true))
    body.append('seed', seedInput.value || 'random')
@@ -5566,7 +5615,7 @@ async function editImageV2() {
      body
    })
    if (started.queued) {
-      toast('Queued Klein v2 behind the current job.')
+      toast(v2Engine.value === 'krea' ? 'Queued Krea generate behind the current job.' : 'Queued Image v2 behind the current job.')
      await refreshStudioQueue()
      return
    }
@@ -11,10 +11,14 @@ import {
  IMAGE_V2_STEPS_DEFAULT,
  IMAGE_V2_TURBO_CFG,
  IMAGE_V2_TURBO_STEPS,
+  IMAGE_V2_KREA_CFG,
+  IMAGE_V2_KREA_STEPS,
  IMAGE_V2_DENOISE_DEFAULT,
  clampImageV2Denoise,
  clampImageV2Size,
  clampImageV2Strength,
+  imageV2WorkflowFile,
+  parseImageV2Engine,
  parseImageV2Mode,
  parseImageV2Task,
  type ImageV2Mode,
@@ -174,9 +178,21 @@ export default defineEventHandler(async (event) => {
  const folderLocked = Boolean(destFolder?.protected && !destFolder.unlocked)
  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 turbo = parseBool(fields.turbo)
-  const steps = turbo ? IMAGE_V2_TURBO_STEPS : clampImageSteps(fields.steps, IMAGE_V2_STEPS_DEFAULT)
-  const cfg = turbo ? IMAGE_V2_TURBO_CFG : clampImageCfg(fields.cfg, IMAGE_V2_CFG_DEFAULT)
+  const steps = engine === 'krea'
+    ? clampImageSteps(fields.steps, IMAGE_V2_KREA_STEPS)
+    : turbo ? IMAGE_V2_TURBO_STEPS : clampImageSteps(fields.steps, IMAGE_V2_STEPS_DEFAULT)
+  const cfg = engine === 'krea'
+    ? clampImageCfg(fields.cfg, IMAGE_V2_KREA_CFG)
+    : turbo ? IMAGE_V2_TURBO_CFG : clampImageCfg(fields.cfg, IMAGE_V2_CFG_DEFAULT)
  const megapixels = mode === 'generate' ? 0 : clampImageScaleMegapixels(fields.megapixels ?? fields.scaleMegapixels, 1)
  const seed = fields.seed && String(fields.seed) !== 'random'
    ? Number(fields.seed)
@@ -191,8 +207,16 @@ export default defineEventHandler(async (event) => {
    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 generateConsistencyModel = clampImageV2Strength(fields.consistency_model, mode === 'generate' ? 0 : IMAGE_V2_CONSISTENCY_MODEL)
-  const generateConsistencyClip = clampImageV2Strength(fields.consistency_clip, mode === 'generate' ? 0 : IMAGE_V2_CONSISTENCY_CLIP)
+  const generateConsistencyModel = clampImageV2Strength(
+    fields.consistency_model,
+    mode === 'generate' || engine === 'krea' ? 0 : IMAGE_V2_CONSISTENCY_MODEL
+  )
+  const generateConsistencyClip = clampImageV2Strength(
+    fields.consistency_clip,
+    mode === 'generate' || engine === 'krea' ? 0 : IMAGE_V2_CONSISTENCY_CLIP
+  )
+  const generateSnofsFallback = engine === 'krea' ? 0 : IMAGE_V2_SNOFS_MODEL
+  const generateSnofsClipFallback = engine === 'krea' ? 0 : IMAGE_V2_SNOFS_CLIP

  const still = imageA
    ? await rememberInputStill({
@@ -262,8 +286,9 @@ export default defineEventHandler(async (event) => {
      imagePipeline: 'v2',
      v2Mode,
      v2Task,
-      snofsModel: clampImageV2Strength(fields.snofs_model, IMAGE_V2_SNOFS_MODEL),
-      snofsClip: clampImageV2Strength(fields.snofs_clip, IMAGE_V2_SNOFS_CLIP),
+      engine,
+      snofsModel: clampImageV2Strength(fields.snofs_model, generateSnofsFallback),
+      snofsClip: clampImageV2Strength(fields.snofs_clip, generateSnofsClipFallback),
      consistencyModel: generateConsistencyModel,
      consistencyClip: generateConsistencyClip,
      maskStillId: savedMask?.id,
@@ -288,9 +313,8 @@ export default defineEventHandler(async (event) => {
    cfg,
    mode: v2Mode,
    task: v2Task,
-    workflow: v2Mode === 'generate'
-      ? 'klein_v2_generate.json'
-      : v2Mode === 'refine' ? 'klein_v2_refine.json' : v2Mode === 'compose' ? 'klein_v2_compose.json' : 'klein_v2_edit.json',
+    engine,
+    workflow: imageV2WorkflowFile(v2Mode, engine),
    width: size?.width || 0,
    height: size?.height || 0,
    strength: refineStrength,
@@ -0,0 +1,81 @@
+{
+  "4": {
+    "inputs": {
+      "unet_name": "krea2_turbo_mxfp8.safetensors",
+      "weight_dtype": "default"
+    },
+    "class_type": "UNETLoader",
+    "_meta": { "title": "Load Krea 2 Turbo" }
+  },
+  "5": {
+    "inputs": {
+      "clip_name": "qwen3vl_4b_fp8_scaled.safetensors",
+      "type": "krea2",
+      "device": "default"
+    },
+    "class_type": "CLIPLoader",
+    "_meta": { "title": "Load Krea 2 CLIP" }
+  },
+  "6": {
+    "inputs": { "vae_name": "qwen_image_vae.safetensors" },
+    "class_type": "VAELoader",
+    "_meta": { "title": "Load Qwen Image VAE" }
+  },
+  "9": {
+    "inputs": {
+      "text": "",
+      "clip": ["5", 0]
+    },
+    "class_type": "CLIPTextEncode",
+    "_meta": { "title": "Positive Prompt" }
+  },
+  "10": {
+    "inputs": {
+      "text": "",
+      "clip": ["5", 0]
+    },
+    "class_type": "CLIPTextEncode",
+    "_meta": { "title": "Negative Prompt" }
+  },
+  "14": {
+    "inputs": {
+      "width": 1024,
+      "height": 1024,
+      "batch_size": 1
+    },
+    "class_type": "EmptyLatentImage",
+    "_meta": { "title": "Empty Latent" }
+  },
+  "15": {
+    "inputs": {
+      "seed": 1,
+      "steps": 8,
+      "cfg": 1,
+      "sampler_name": "euler",
+      "scheduler": "simple",
+      "denoise": 1,
+      "model": ["4", 0],
+      "positive": ["9", 0],
+      "negative": ["10", 0],
+      "latent_image": ["14", 0]
+    },
+    "class_type": "KSampler",
+    "_meta": { "title": "KSampler" }
+  },
+  "20": {
+    "inputs": {
+      "samples": ["15", 0],
+      "vae": ["6", 0]
+    },
+    "class_type": "VAEDecode",
+    "_meta": { "title": "VAE Decode" }
+  },
+  "21": {
+    "inputs": {
+      "filename_prefix": "aigen-v2-krea",
+      "images": ["20", 0]
+    },
+    "class_type": "SaveImage",
+    "_meta": { "title": "Save Image" }
+  }
+}
@@ -21,10 +21,13 @@ import {
  IMAGE_V2_SNOFS_CLIP,
  IMAGE_V2_SNOFS_MODEL,
  IMAGE_V2_STEPS_DEFAULT,
+  IMAGE_V2_KREA_CFG,
+  IMAGE_V2_KREA_STEPS,
  IMAGE_V2_DENOISE_DEFAULT,
  clampImageV2Denoise,
  clampImageV2Size,
  clampImageV2Strength,
+  parseImageV2Engine,
  parseImageV2Mode,
  parseImageV2Task,
  type ImageV2PresetSettings
@@ -115,16 +118,18 @@ function sanitizeImageV2Settings(raw: unknown): ImageV2PresetSettings {
  const rec = raw && typeof raw === 'object' ? raw as Record<string, unknown> : {}
  const mode = parseImageV2Mode(rec.mode) || 'edit'
  const turbo = rec.turbo === true
+  const engine = mode === 'generate' ? parseImageV2Engine(rec.engine, 'flux') : 'flux'
  return {
    mode,
+    engine,
    task: mode === 'compose' ? parseImageV2Task(rec.task, 'scene') : mode === 'refine' ? 'refine' : mode === 'generate' ? 't2i' : 'scene',
    negative: String(rec.negative || '').slice(0, 2000),
    snofsModel: clampImageV2Strength(rec.snofsModel ?? rec.snofs_model, IMAGE_V2_SNOFS_MODEL),
    snofsClip: clampImageV2Strength(rec.snofsClip ?? rec.snofs_clip, IMAGE_V2_SNOFS_CLIP),
    consistencyModel: clampImageV2Strength(rec.consistencyModel ?? rec.consistency_model, mode === 'generate' ? 0 : IMAGE_V2_CONSISTENCY_MODEL),
    consistencyClip: clampImageV2Strength(rec.consistencyClip ?? rec.consistency_clip, mode === 'generate' ? 0 : IMAGE_V2_CONSISTENCY_CLIP),
-    steps: turbo ? 8 : clampImageSteps(rec.steps, IMAGE_V2_STEPS_DEFAULT),
-    cfg: turbo ? 1 : clampImageCfg(rec.cfg, IMAGE_V2_CFG_DEFAULT),
+    steps: engine === 'krea' ? clampImageSteps(rec.steps, IMAGE_V2_KREA_STEPS) : turbo ? 8 : clampImageSteps(rec.steps, IMAGE_V2_STEPS_DEFAULT),
+    cfg: engine === 'krea' ? clampImageCfg(rec.cfg, IMAGE_V2_KREA_CFG) : turbo ? 1 : clampImageCfg(rec.cfg, IMAGE_V2_CFG_DEFAULT),
    megapixels: mode === 'generate' ? undefined : clampImageScaleMegapixels(rec.megapixels ?? rec.scaleMegapixels, 1),
    turbo,
    strength: mode === 'refine' ? clampImageV2Denoise(rec.strength, IMAGE_V2_DENOISE_DEFAULT) : undefined,
@@ -2,16 +2,17 @@ import { createJob, emitJob, type Job } from '~/server/utils/jobs'
 import { ensureComfyReady } from '~/server/utils/comfyLifecycle'
 import { assertImageScaleToTotalPixelsNode, getComfyHost, uploadImage, queuePrompt, purgeComfyArtifacts } from '~/server/utils/comfy'
 import { withImageComfyHost, waitForImageEdit, downloadEditedImage } from '~/server/utils/imageComfy'
-import { buildImageV2Workflow } from '~/server/utils/imageWorkflowV2'
+import { buildImageV2Workflow, resolveKreaGenerateAssets } from '~/server/utils/imageWorkflowV2'
 import { ensureComfyLoraNames } from '~/server/utils/loras'
 import { imageDimensions } from '~/server/utils/resolution'
 import { emitChainJob } from '~/server/utils/watch'
 import { saveStill } from '~/server/utils/library'
-import type { ImageV2Mode, ImageV2Task } from '~/utils/imageV2'
+import { parseImageV2Engine, type ImageV2Engine, type ImageV2Mode, type ImageV2Task } from '~/utils/imageV2'
 import type { EditImageFile } from '~/server/utils/imageChain'

 export type EditV2RunParams = {
  mode: ImageV2Mode
+  engine?: ImageV2Engine
  task: ImageV2Task
  image?: EditImageFile | null
  reference: EditImageFile | null
@@ -64,10 +65,16 @@ export async function runEditV2(job: Job, params: EditV2RunParams) {

    await withImageComfyHost(job.imageComfyHost, async () => {
      const generate = params.mode === 'generate'
+      const engine = generate ? parseImageV2Engine(params.engine, 'flux') : 'flux'
+      if (engine === 'krea' && params.mode !== 'generate') {
+        throw new Error('Krea is available on Generate first.')
+      }
      emitChainJob(job, {
        type: 'status',
        message: generate
-          ? 'Queueing Klein v2 generate on Beast...'
+          ? engine === 'krea'
+            ? 'Queueing Krea generate on Beast...'
+            : 'Queueing Flux generate on Beast...'
          : params.mode === 'refine'
            ? 'Uploading canvas and mask to Beast...'
            : params.mode === 'compose' ? 'Uploading stills A and B to Beast...' : 'Uploading still A to Beast...',
@@ -103,8 +110,10 @@ export async function runEditV2(job: Job, params: EditV2RunParams) {
      }
      await ensureComfyLoraNames('image')
      if (!generate) await assertImageScaleToTotalPixelsNode()
+      const krea = engine === 'krea' ? await resolveKreaGenerateAssets() : null
      const built = buildImageV2Workflow({
        mode: params.mode,
+        engine,
        task: params.task,
        prompt: params.prompt,
        negative: params.negative,
@@ -123,7 +132,11 @@ export async function runEditV2(job: Job, params: EditV2RunParams) {
        width: params.width,
        height: params.height,
        turbo: params.turbo === true,
-        filenamePrefix: `aigen_v2_${job.id.slice(0, 8)}`
+        filenamePrefix: `aigen_v2_${job.id.slice(0, 8)}`,
+        kreaUnetName: krea?.unet,
+        kreaClipName: krea?.clip,
+        kreaVaeName: krea?.vae,
+        kreaConceptLora: krea?.conceptLora
      })
      const queued = await queuePrompt(built.graph, job.clientId)
      job.promptId = queued.prompt_id
@@ -169,6 +182,7 @@ export async function runEditV2(job: Job, params: EditV2RunParams) {
        settings: {
          kind: 'imagev2',
          mode: params.mode,
+          engine,
          task: params.task,
          negative: params.negative,
          snofsModel: params.snofsModel,
@@ -2,7 +2,9 @@ import editTemplate from '../assets/klein_v2_edit.json'
 import composeTemplate from '../assets/klein_v2_compose.json'
 import refineTemplate from '../assets/klein_v2_refine.json'
 import generateTemplate from '../assets/klein_v2_generate.json'
+import kreaGenerateTemplate from '../assets/krea_v2_generate.json'
 import { IMAGE_SCALE_TO_TOTAL_PIXELS } from '~/server/utils/comfy'
+import { imageComfyFetch } from '~/server/utils/imageComfy'
 import { cachedComfyLoraNames } from '~/server/utils/loras'
 import { resolveComfyLoraName, loraIdentityKey } from '~/utils/loras'
 import { clampImageCfg, clampImageScaleMegapixels, clampImageSteps } from '~/utils/generationPresets'
@@ -10,6 +12,13 @@ import {
  IMAGE_V2_CONSISTENCY_CLIP,
  IMAGE_V2_CONSISTENCY_LORA,
  IMAGE_V2_CONSISTENCY_MODEL,
+  IMAGE_V2_KREA_CFG,
+  IMAGE_V2_KREA_CLIP,
+  IMAGE_V2_KREA_CLIP_TYPE,
+  IMAGE_V2_KREA_CONCEPT_LORA,
+  IMAGE_V2_KREA_STEPS,
+  IMAGE_V2_KREA_UNET_CANDIDATES,
+  IMAGE_V2_KREA_VAE,
  IMAGE_V2_SNOFS_CLIP,
  IMAGE_V2_SNOFS_LORA,
  IMAGE_V2_SNOFS_MODEL,
@@ -20,6 +29,9 @@ import {
  clampImageV2Size,
  clampImageV2Strength,
  composeImageV2Prompt,
+  imageV2WorkflowFile,
+  parseImageV2Engine,
+  type ImageV2Engine,
  type ImageV2Mode,
  type ImageV2Task
 } from '~/utils/imageV2'
@@ -46,10 +58,12 @@ export const IMAGE_V2_EDIT_WORKFLOW = 'klein_v2_edit.json'
 export const IMAGE_V2_COMPOSE_WORKFLOW = 'klein_v2_compose.json'
 export const IMAGE_V2_REFINE_WORKFLOW = 'klein_v2_refine.json'
 export const IMAGE_V2_GENERATE_WORKFLOW = 'klein_v2_generate.json'
+export const IMAGE_V2_KREA_GENERATE_WORKFLOW = 'krea_v2_generate.json'

 export interface ImageV2BuildParams {
  mode: ImageV2Mode
  task: ImageV2Task
+  engine?: ImageV2Engine
  prompt: string
  negative?: string
  imageAName?: string
@@ -68,6 +82,10 @@ export interface ImageV2BuildParams {
  seed: number
  megapixels?: number
  filenamePrefix?: string
+  kreaUnetName?: string
+  kreaClipName?: string
+  kreaVaeName?: string
+  kreaConceptLora?: string
 }

 function setInput(graph: WorkflowGraph, id: string, key: string, value: unknown) {
@@ -120,9 +138,140 @@ function bypassLoraNode(graph: WorkflowGraph, id: string, modelFrom: string, cli
  }
 }

-export function assertImageV2Graph(graph: WorkflowGraph, mode: ImageV2Mode, imageBName?: string) {
+function modelBasename(name: string) {
+  return String(name || '').replace(/\\/g, '/').split('/').pop() || ''
+}
+
+function modelIdentity(name: string) {
+  return modelBasename(name).toLowerCase()
+}
+
+async function listComfyModels(folder: string) {
+  const res = await imageComfyFetch(`/models/${encodeURIComponent(folder)}`, {
+    signal: AbortSignal.timeout(8000)
+  }).catch(() => null)
+  if (!res || !res.ok) return [] as string[]
+  const payload = await res.json().catch(() => null)
+  if (Array.isArray(payload)) return payload.map(item => String(item || '')).filter(Boolean)
+  return [] as string[]
+}
+
+function pickComfyModel(available: string[], candidates: string[]) {
+  for (const wanted of candidates) {
+    const id = modelIdentity(wanted)
+    const exact = available.find(name => modelIdentity(name) === id)
+    if (exact) return exact
+    const stem = id.replace(/\.(safetensors|sft|ckpt|pt|bin)$/i, '')
+    const prefix = available.find(name => modelIdentity(name).startsWith(stem))
+    if (prefix) return prefix
+  }
+  return ''
+}
+
+export function configuredKreaConceptLora() {
+  const config = useRuntimeConfig()
+  return String(
+    config.kreaConceptLora
+    || (config.public as { kreaConceptLora?: string } | undefined)?.kreaConceptLora
+    || IMAGE_V2_KREA_CONCEPT_LORA
+    || ''
+  ).trim()
+}
+
+export async function resolveKreaGenerateAssets() {
+  const [unets, clips, vaes, clipInfo] = await Promise.all([
+    listComfyModels('diffusion_models'),
+    listComfyModels('text_encoders').then(async (names) => names.length ? names : listComfyModels('clip')),
+    listComfyModels('vae'),
+    imageComfyFetch('/object_info/CLIPLoader', { signal: AbortSignal.timeout(8000) })
+      .then(async (res) => res.ok ? res.json() : null)
+      .catch(() => null)
+  ])
+  const unet = pickComfyModel(unets, [...IMAGE_V2_KREA_UNET_CANDIDATES])
+  if (!unet) {
+    throw createError({
+      statusCode: 503,
+      statusMessage: 'Krea diffusion model is missing on Beast Comfy (need krea2_turbo_mxfp8, nvfp4, or fp8_scaled).'
+    })
+  }
+  const clip = pickComfyModel(clips, [IMAGE_V2_KREA_CLIP])
+  if (!clip) {
+    throw createError({
+      statusCode: 503,
+      statusMessage: `Krea text encoder is missing on Beast Comfy (${IMAGE_V2_KREA_CLIP}).`
+    })
+  }
+  const vae = pickComfyModel(vaes, [IMAGE_V2_KREA_VAE])
+  if (!vae) {
+    throw createError({
+      statusCode: 503,
+      statusMessage: `Qwen image VAE is missing on Beast Comfy (${IMAGE_V2_KREA_VAE}).`
+    })
+  }
+  const rec = clipInfo && typeof clipInfo === 'object' ? clipInfo as Record<string, unknown> : {}
+  const body = (rec.CLIPLoader && typeof rec.CLIPLoader === 'object' ? rec.CLIPLoader : rec) as {
+    input?: { required?: { type?: unknown } }
+  }
+  const typeSpec = body.input?.required?.type
+  const types = Array.isArray(typeSpec) && Array.isArray(typeSpec[0])
+    ? (typeSpec[0] as unknown[]).map(item => String(item || ''))
+    : []
+  if (types.length && !types.includes(IMAGE_V2_KREA_CLIP_TYPE)) {
+    throw createError({
+      statusCode: 503,
+      statusMessage: 'Beast Comfy CLIPLoader has no krea2 type. Update Comfy before using Krea.'
+    })
+  }
+  return { unet, clip, vae, conceptLora: configuredKreaConceptLora() }
+}
+
+function graphFileNames(graph: WorkflowGraph) {
+  const names: string[] = []
+  for (const node of Object.values(graph)) {
+    for (const key of ['unet_name', 'clip_name', 'vae_name', 'lora_name']) {
+      const value = node.inputs[key]
+      if (typeof value === 'string' && value.trim()) names.push(value)
+    }
+  }
+  return names
+}
+
+function assertKreaGenerateGraph(graph: WorkflowGraph) {
  const loaders = loadImageNames(graph)
-  if (mode === 'generate') {
+  if (loaders.length) {
+    throw createError({
+      statusCode: 500,
+      statusMessage: 'Krea generate graph has a required LoadImage. Refusing to run.'
+    })
+  }
+  const latent = Object.values(graph).find(node => node.class_type === 'EmptyLatentImage')
+  if (!latent) {
+    throw createError({ statusCode: 500, statusMessage: 'Krea generate graph is missing EmptyLatentImage.' })
+  }
+  if (Object.values(graph).some(node => node.class_type === 'EmptyFlux2LatentImage' || node.class_type === 'Flux2Scheduler')) {
+    throw createError({ statusCode: 500, statusMessage: 'Krea generate graph contains a Klein latent or scheduler. Refusing to run.' })
+  }
+  const clip = graph['5']
+  if (!clip || clip.class_type !== 'CLIPLoader' || String(clip.inputs.type || '') !== IMAGE_V2_KREA_CLIP_TYPE) {
+    throw createError({ statusCode: 500, statusMessage: 'Krea generate graph CLIPLoader type must be krea2.' })
+  }
+  const banned = graphFileNames(graph).filter((name) => {
+    const id = modelIdentity(name)
+    return /flux-?2-klein|klein_snofs|flux2-klein-9b-consistency|qwen_3_8b|full_encoder_small_decoder/i.test(id)
+  })
+  if (banned.length) {
+    throw createError({
+      statusCode: 500,
+      statusMessage: 'Krea generate graph includes a Klein model or LoRA. Refusing to run.'
+    })
+  }
+}
+
+export function assertImageV2Graph(graph: WorkflowGraph, mode: ImageV2Mode, imageBName?: string, engine: ImageV2Engine = 'flux') {
+  const loaders = loadImageNames(graph)
+  if (mode === 'generate' && engine === 'krea') {
+    assertKreaGenerateGraph(graph)
+  } else if (mode === 'generate') {
    if (loaders.length) {
      throw createError({
        statusCode: 500,
@@ -188,7 +337,92 @@ export function assertImageV2Graph(graph: WorkflowGraph, mode: ImageV2Mode, imag
  }
 }

+function applyKreaConceptLora(graph: WorkflowGraph, loraName: string, model: number, clip: number) {
+  graph['7'] = {
+    class_type: 'LoraLoader',
+    inputs: {
+      lora_name: loraName,
+      strength_model: model,
+      strength_clip: clip,
+      model: ['4', 0],
+      clip: ['5', 0]
+    },
+    _meta: { title: 'Concept LoRA' }
+  }
+  setInput(graph, PROMPT, 'clip', ['7', 1])
+  setInput(graph, NEGATIVE, 'clip', ['7', 1])
+  setInput(graph, '15', 'model', ['7', 0])
+}
+
+function buildKreaGenerateWorkflow(params: ImageV2BuildParams) {
+  if (!params.kreaUnetName || !params.kreaClipName || !params.kreaVaeName) {
+    throw createError({
+      statusCode: 503,
+      statusMessage: 'Krea models were not resolved. Refusing to fall back to Flux.'
+    })
+  }
+  const graph = structuredClone(kreaGenerateTemplate) as WorkflowGraph
+  const prompt = composeImageV2Prompt('generate', 't2i', params.prompt)
+  const negative = String(params.negative || '')
+  const size = clampImageV2Size(params.width, params.height)
+  const steps = clampImageSteps(params.steps, IMAGE_V2_KREA_STEPS)
+  const cfg = clampImageCfg(params.cfg, IMAGE_V2_KREA_CFG)
+  const conceptName = String(params.kreaConceptLora || '').trim()
+  const snofsModel = conceptName ? clampImageV2Strength(params.snofsModel, 0) : 0
+  const snofsClip = conceptName ? clampImageV2Strength(params.snofsClip, 0) : 0
+  const workflowFile = IMAGE_V2_KREA_GENERATE_WORKFLOW
+
+  setInput(graph, '4', 'unet_name', params.kreaUnetName)
+  setInput(graph, '5', 'clip_name', params.kreaClipName)
+  setInput(graph, '5', 'type', IMAGE_V2_KREA_CLIP_TYPE)
+  setInput(graph, '6', 'vae_name', params.kreaVaeName)
+  setInput(graph, '14', 'width', size.width)
+  setInput(graph, '14', 'height', size.height)
+  setInput(graph, PROMPT, 'text', prompt)
+  setInput(graph, NEGATIVE, 'text', negative)
+  setInput(graph, '15', 'seed', params.seed)
+  setInput(graph, '15', 'steps', steps)
+  setInput(graph, '15', 'cfg', cfg)
+  setInput(graph, '15', 'sampler_name', 'euler')
+  setInput(graph, '15', 'scheduler', 'simple')
+  setInput(graph, SAVE, 'filename_prefix', params.filenamePrefix || 'aigen-v2-krea')
+  if (conceptName && (snofsModel > 0 || snofsClip > 0)) {
+    const resolved = resolveRequiredLora(conceptName, 'Krea concept')
+    if (/klein_snofs|flux2-klein-9b-consistency|flux-?2-klein/i.test(loraIdentityKey(resolved))) {
+      throw createError({ statusCode: 500, statusMessage: 'Refusing to load a Klein LoRA into the Krea graph.' })
+    }
+    applyKreaConceptLora(graph, resolved, snofsModel, snofsClip)
+  }
+
+  assertImageV2Graph(graph, 'generate', undefined, 'krea')
+  const loaders = loadImageNames(graph)
+  console.log(JSON.stringify({
+    src: 'image-v2',
+    engine: 'krea',
+    workflow: workflowFile,
+    mode: 'generate',
+    task: 't2i',
+    size: { width: size.width, height: size.height },
+    models: {
+      unet: params.kreaUnetName,
+      clip: params.kreaClipName,
+      vae: params.kreaVaeName
+    },
+    loras: {
+      concept: graph['7']
+        ? { name: graph['7'].inputs.lora_name, model: snofsModel, clip: snofsClip }
+        : { loaded: false, model: 0, clip: 0 }
+    },
+    steps,
+    cfg,
+    seed: params.seed
+  }))
+  return { graph, workflowFile, loaders, prompt, strength: undefined }
+}
+
 export function buildImageV2Workflow(params: ImageV2BuildParams) {
+  const engine = params.mode === 'generate' ? parseImageV2Engine(params.engine, 'flux') : 'flux'
+  if (params.mode === 'generate' && engine === 'krea') return buildKreaGenerateWorkflow(params)
  const compose = params.mode === 'compose'
  const refine = params.mode === 'refine'
  const generate = params.mode === 'generate'
@@ -214,9 +448,7 @@ export function buildImageV2Workflow(params: ImageV2BuildParams) {
  const cfg = clampImageCfg(params.cfg, 4)
  const strength = refine ? clampImageV2Denoise(params.strength, IMAGE_V2_DENOISE_DEFAULT) : undefined
  const size = generate ? clampImageV2Size(params.width, params.height) : null
-  const workflowFile = generate
-    ? IMAGE_V2_GENERATE_WORKFLOW
-    : refine ? IMAGE_V2_REFINE_WORKFLOW : compose ? IMAGE_V2_COMPOSE_WORKFLOW : IMAGE_V2_EDIT_WORKFLOW
+  const workflowFile = imageV2WorkflowFile(params.mode, engine)

  if (!generate) setInput(graph, LOAD_A, 'image', params.imageAName || '')
  if (compose) setInput(graph, LOAD_B, 'image', params.imageBName || '')
@@ -249,11 +481,12 @@ export function buildImageV2Workflow(params: ImageV2BuildParams) {
    setInput(graph, CONSISTENCY, 'strength_clip', consistencyClip)
  }

-  assertImageV2Graph(graph, params.mode, generate || refine ? undefined : params.imageBName)
+  assertImageV2Graph(graph, params.mode, generate || refine ? undefined : params.imageBName, engine)

  const loaders = loadImageNames(graph)
  console.log(JSON.stringify({
    src: 'image-v2',
+    engine,
    workflow: workflowFile,
    mode: params.mode,
    task: params.task,
@@ -285,16 +518,17 @@ export const IMAGE_V2_NODE_LABELS: Record<string, string> = {
  '2': 'Scaling image A',
  '23': 'Scaling image B',
  '31': 'Resizing mask',
-  '4': 'Loading Flux.2 Klein 9B',
+  '4': 'Loading diffusion model',
  '5': 'Loading CLIP',
  '6': 'Loading VAE',
-  '7': 'Applying SNOFS',
+  '7': 'Applying Concept LoRA',
  '8': 'Applying Consistency',
  '9': 'Encoding prompt',
  '11': 'Encoding image A',
  '24': 'Encoding image B',
  '33': 'Applying mask',
-  '14': 'Building empty Klein latent',
+  '14': 'Building empty latent',
+  '15': 'Sampling',
  '19': 'Sampling Klein v2',
  '20': 'Decoding still',
  '21': 'Saving still'
@@ -54,6 +54,7 @@ export interface StudioJobPayload {
  imagePipeline?: 'v1' | 'v2'
  v2Mode?: 'edit' | 'compose' | 'refine' | 'generate'
  v2Task?: 'scene' | 'identity' | 'outfit' | 'face_lock' | 'refine' | 't2i'
+  engine?: 'flux' | 'krea'
  snofsModel?: number
  snofsClip?: number
  consistencyModel?: number
@@ -753,6 +754,7 @@ async function startStudioEditJob(item: StudioJob) {
      await markStudioLive(item.ownerKey, item.id, live.id)
      void runEditV2(live, {
        mode,
+        engine: mode === 'generate' && payload.engine === 'krea' ? 'krea' : 'flux',
        task: payload.v2Task || 'scene',
        image: mode === 'generate' ? null : image,
        reference: mode === 'refine' || mode === 'generate' ? null : reference,
@@ -1,8 +1,10 @@
 export const IMAGE_V2_MODES = ['edit', 'compose', 'refine', 'generate'] as const
 export const IMAGE_V2_TASKS = ['scene', 'identity', 'outfit', 'face_lock', 'refine', 't2i'] as const
+export const IMAGE_V2_ENGINES = ['flux', 'krea'] as const

 export type ImageV2Mode = (typeof IMAGE_V2_MODES)[number]
 export type ImageV2Task = (typeof IMAGE_V2_TASKS)[number]
+export type ImageV2Engine = (typeof IMAGE_V2_ENGINES)[number]

 export const IMAGE_V2_STEPS_DEFAULT = 24
 export const IMAGE_V2_CFG_DEFAULT = 4
@@ -52,6 +54,18 @@ export type ImageV2GenerateAspect = keyof typeof IMAGE_V2_GENERATE_ASPECTS
 export const IMAGE_V2_GENERATE_SFW = { snofsModel: 0, snofsClip: 0 }
 export const IMAGE_V2_GENERATE_SNOFS = { snofsModel: 0.65, snofsClip: 0.35 }

+export const IMAGE_V2_KREA_STEPS = 8
+export const IMAGE_V2_KREA_CFG = 1
+export const IMAGE_V2_KREA_CLIP = 'qwen3vl_4b_fp8_scaled.safetensors'
+export const IMAGE_V2_KREA_CLIP_TYPE = 'krea2'
+export const IMAGE_V2_KREA_VAE = 'qwen_image_vae.safetensors'
+export const IMAGE_V2_KREA_UNET_CANDIDATES = [
+  'krea2_turbo_mxfp8.safetensors',
+  'krea2_turbo_nvfp4.safetensors',
+  'krea2_turbo_fp8_scaled.safetensors'
+] as const
+export const IMAGE_V2_KREA_CONCEPT_LORA = ''
+
 export const IMAGE_V2_ROLE_HEADERS: Record<Exclude<ImageV2Task, 'scene' | 'refine' | 't2i'>, string> = {
  outfit: 'Person, face, body, pose, and background from image 1. Clothing only from image 2. Fit the outfit from image 2 to the body in image 1. Do not copy image 2’s face, body shape, or pose.',
  face_lock: 'Body, pose, and scene from image 1. Exact face from image 2.',
@@ -68,6 +82,19 @@ export function parseImageV2Task(raw: unknown, fallback: ImageV2Task = 'scene'):
  return IMAGE_V2_TASKS.includes(value as ImageV2Task) ? value as ImageV2Task : fallback
 }

+export function parseImageV2Engine(raw: unknown, fallback: ImageV2Engine = 'flux'): ImageV2Engine {
+  const value = String(raw || '').trim().toLowerCase()
+  return IMAGE_V2_ENGINES.includes(value as ImageV2Engine) ? value as ImageV2Engine : fallback
+}
+
+export function imageV2WorkflowFile(mode: ImageV2Mode, engine: ImageV2Engine = 'flux') {
+  if (mode === 'generate' && engine === 'krea') return 'krea_v2_generate.json'
+  if (mode === 'generate') return 'klein_v2_generate.json'
+  if (mode === 'refine') return 'klein_v2_refine.json'
+  if (mode === 'compose') return 'klein_v2_compose.json'
+  return 'klein_v2_edit.json'
+}
+
 export function clampImageV2Strength(raw: unknown, fallback: number) {
  const value = Number(raw)
  if (!Number.isFinite(value)) return fallback
@@ -118,6 +145,7 @@ export function composeImageV2Prompt(mode: ImageV2Mode, task: ImageV2Task, promp
 export type ImageV2PresetSettings = {
  mode?: ImageV2Mode
  task?: ImageV2Task
+  engine?: ImageV2Engine
  negative?: string
  snofsModel?: number
  snofsClip?: number
@@ -1,5 +1,5 @@
 import { loraDisplayName, normalizeLoraStack, type LoraStackItem } from '~/utils/loras'
-import type { ImageV2Mode, ImageV2Task } from '~/utils/imageV2'
+import type { ImageV2Engine, ImageV2Mode, ImageV2Task } from '~/utils/imageV2'
 import type { VideoWorkflowId } from '~/utils/videoModels'

 export type StillGenerationKind = 'image' | 'imagev2'
@@ -7,6 +7,7 @@ export type StillGenerationKind = 'image' | 'imagev2'
 export type StillGenerationSettings = {
  kind: StillGenerationKind
  mode?: ImageV2Mode
+  engine?: ImageV2Engine
  task?: ImageV2Task
  negative?: string
  snofsModel?: number
@@ -64,6 +65,7 @@ export function normalizeStillSettings(raw: unknown): StillGenerationSettings |
  const mode = value.mode === 'compose' || value.mode === 'refine' || value.mode === 'generate' || value.mode === 'edit'
    ? value.mode
    : undefined
+  const engine = value.engine === 'krea' || value.engine === 'flux' ? value.engine : undefined
  const kind: StillGenerationKind | undefined = value.kind === 'imagev2' || mode
    ? 'imagev2'
    : value.kind === 'image'
@@ -77,6 +79,7 @@ export function normalizeStillSettings(raw: unknown): StillGenerationSettings |
  return {
    kind,
    mode,
+    engine,
    task,
    negative: typeof value.negative === 'string' ? value.negative : undefined,
    snofsModel: finiteNumber(value.snofsModel),
@@ -127,7 +130,8 @@ export function stillModeLabel(still: { filename?: string; settings?: StillGener
          ? 'Refine'
          : 'Edit'
    const task = settings.mode === 'compose' ? composeTaskLabel(settings.task) : ''
-    return task ? `Image v2 · ${mode} · ${task}` : `Image v2 · ${mode}`
+    const engine = settings.mode === 'generate' && settings.engine === 'krea' ? 'Krea' : ''
+    return [mode === 'Generate' && engine ? `Image v2 · ${mode} · ${engine}` : `Image v2 · ${mode}`, task].filter(Boolean).join(' · ')
  }
  if (settings?.kind === 'image') return 'Image edit'
  if (/aigen_v2_/i.test(String(still.filename || ''))) return 'Image v2'
@@ -147,8 +151,11 @@ export function stillSettingsRows(still: { width?: number; height?: number; sett
    } else if (still.width && still.height) {
      rows.push({ label: 'Output', value: `${still.width}×${still.height}` })
    }
+    if (settings.mode === 'generate' && settings.engine) {
+      rows.push({ label: 'Engine', value: settings.engine === 'krea' ? 'Krea' : 'Flux' })
+    }
    if (settings.snofsModel != null || settings.snofsClip != null) {
-      rows.push({ label: 'SNOFS', value: formatPair(settings.snofsModel, settings.snofsClip) })
+      rows.push({ label: 'Concept LoRA', value: formatPair(settings.snofsModel, settings.snofsClip) })
    }
    if (settings.mode !== 'generate' && (settings.consistencyModel != null || settings.consistencyClip != null)) {
      rows.push({ label: 'Consistency', value: formatPair(settings.consistencyModel, settings.consistencyClip) })