Krea 2 Identity Edit
A general image-generation workflow graph; the size class bounds the output resolution in megapixels.
- Modality
- Workflows
- Billing rate
- $0.1125 per 1000 megapixel step
- Listed
- Sep 14, 2026
- Uptime
- 0%
- last 3 days, measured
Playground
Run this model right here. Billed to your account credits per use through the same signed-receipt pipeline as the API.
Checking your session…
Pricing
Charged per use against a signed receipt. Current price version v3; versions are immutable, so the chart below is the platform's actual pricing record.
- Billing rate
- $0.1125 per 1000 megapixel step
Trust & routing
Current trust properties and dispatch capacity advertised by the OpenMayhem network.
- Registered tiers
- T1
- Live tiers
- Not advertised
- Quantizations
- unknown
- Live routes
- 0
- Live providers
- 0
- Prompt processing
- Provider-visible
- Context capacity
- 1
Routing providers
Performance
Measured from real, settled requests over the last 30 days. No synthetic benchmarks.
Not enough traffic yet to report honestly. Numbers appear as real requests accumulate.
Availability
Provider availability polled every minute by the platform itself, replayed hour by hour.
0%online over the last 3 days
Tracking since Sep 14, 3 AM
Supported parameters
From the network's signed model contract; anything else is rejected before a provider runs.
Use it
OpenAI-compatible: point an existing SDK at api.openmayhem.ai and use this model ID.
POST /v1/workflowsWORKFLOWS · mayhem_comfy_workflows +
Working request
curl https://api.openmayhem.ai/v1/workflows \
-H "Authorization: Bearer $OPENMAYHEM_API_KEY" \
-H "Content-Type: application/json" \
-H "Idempotency-Key: $(uuidgen)" \
-d '{
"model": "image.edit.le2mp",
"workflow": {},
"input_files": [
{
"filename": "refs/input.png",
"kind": "image",
"content_type": "image/png",
"encoding": "base64",
"data": "<BASE64_IMAGE>"
}
],
"response_format": "artifact",
"timeout_ms": 120000
}'Parameters
| Parameter | Required | Type | Default | Allowed values | Limits and shape |
|---|---|---|---|---|---|
input_files | Required | array | — | — | min items 1; max items 2 [{"filename":"refs/input.png","kind":"image","content_type":"image/png","encoding":"base64","data":"<BASE64_IMAGE>"}] |
model | Required | string | — | — | — |
workflow | Required | object | — | — | {"node-id":{"class_type":"AllowedNode","inputs":{}}} |
outcome_class | Optional | string | — | — | min length 1; max length 128 |
response_format | Optional | string | artifact | artifact, json | {"type":"json_object"} |
runtime_id | Optional | string | — | — | min length 1; max length 128 |
timeout_ms | Optional | integer | 120000 | — | min 1000; max 3600000 |
user | Optional | string | — | — | min length 1; max length 512 |
Input shapes
input_files
{
"model": "image.edit.le2mp",
"input_files": [
{
"filename": "refs/input.png",
"kind": "image",
"content_type": "image/png",
"encoding": "base64",
"data": "<BASE64_IMAGE>"
}
]
}Workflow surface
Use the complete starter. Node roles, classes, inputs, presets and add-ons below are the values admitted for this workflow.
Workflow nodes
| Node ID / role | Class | Inputs |
|---|---|---|
clip | CLIPLoader | clip_name: part; required; part qwen3vl_4b_fp8_scaled.safetensors device: string; required; fixed default type: string; required; fixed krea2 |
decode | VAEDecode | samples: link; required; from sampler[0] vae: link; required; from vae[0] |
denoiser | UNETLoader | unet_name: part; required; part krea2_turbo_fp8_scaled.safetensors weight_dtype: string; required; fixed default |
edit_patch | Krea2EditModelPatch | fit_mode: string; required; values fit model: link; required; from system_lora[0] ref_boost: number; required; min 1; max 4 ref_boost_a: number; required; min 1; max 4 source_image: link; required; from reference_a[0] or scene_scale[0] source_image_b: link; optional; from reference_b[0] source_latent: link; required; from encode_a[0] source_latent_b: link; optional; from encode_b[0] target_latent: link; required; from latent[0] vae: link; required; from vae[0] |
encode_a | VAEEncode | pixels: link; required; from reference_a[0] or scene_scale[0] vae: link; required; from vae[0] |
encode_b | VAEEncode | pixels: link; required; from reference_b[0] vae: link; required; from vae[0] |
latent | EmptySD3LatentImage | batch_size: integer; required; min 1; max 1 height: integer; required; min 256; max 1920; multiple of 64 width: integer; required; min 256; max 1920; multiple of 64 |
negative | Krea2EditGroundedEncode | clip: link; required; from clip[0] grounding_px: integer; required; values 768 image: link; required; from reference_a[0] or scene_scale[0] image_b: link; optional; from reference_b[0] prompt: string; required system_prompt: string; required; fixed |
output | SaveImage | filename_prefix: string; required images: link; required; from decode[0] |
positive | Krea2EditGroundedEncode | clip: link; required; from clip[0] grounding_px: integer; required; values 768 image: link; required; from reference_a[0] or scene_scale[0] image_b: link; optional; from reference_b[0] prompt: string; required system_prompt: string; required; fixed |
reference_a | LoadImage | image: string; required |
reference_b | LoadImage | image: string; required |
sampler | KSampler | cfg: number; required; min 1; max 4 denoise: number; required; fixed 1 latent_image: link; required; from latent[0] model: link; required; from edit_patch[0] negative: link; required; from negative[0] positive: link; required; from positive[0] sampler_name: string; required; values euler scheduler: string; required; values simple seed: integer; required; min 0; max 9007199254740991 steps: integer; required; min 1; max 10 |
scene_scale | ImageScale | crop: string; required; fixed disabled height: integer; required; fixed 1024 image: link; required; from reference_a[0] upscale_method: string; required; fixed lanczos width: integer; required; fixed 1024 |
system_lora | LoraLoaderModelOnly | lora_name: part; required; part Krea2/krea2_identity_edit_v1_2.safetensors model: link; required; from denoiser[0] strength_model: number; required; fixed 1 |
vae | VAELoader | vae_name: part; required; part qwen_image_vae.safetensors |
Presets
| Preset | Applied values |
|---|---|
turboTurbo | sampler.steps=10; sampler.cfg=1; sampler.sampler_name=euler; sampler.scheduler=simple; edit_patch.ref_boost=4; edit_patch.ref_boost_a=1; positive.grounding_px=768 |
Agent drop-ins
This is a media endpoint, so it cannot replace the text model that drives a coding agent. Call the request above from the agent’s HTTP or tool layer.
FAQ
What does Krea 2 Identity Edit cost on OpenMayhem?
Krea 2 Identity Edit currently costs $0.1125 per 1000 megapixel step. There is no subscription: you buy credit and every request settles against a signed receipt for exactly what it used. Prices are versioned, and the full price history is published on this page.
Is Krea 2 Identity Edit available right now?
No providers are online for Krea 2 Identity Edit at this moment. Availability is polled every minute, and requests are rejected upfront rather than queued indefinitely.
How do I use Krea 2 Identity Edit?
Send an OpenAI-compatible request to https://api.openmayhem.ai/v1/workflows with "model": "image.edit.le2mp" and your API key. Existing OpenAI SDKs work by changing the base URL. Create an account to get a key and starting credit.
Are my prompts stored?
OpenMayhem does not persist prompt or completion text. Requests are proxied to the serving provider and only billing metadata is retained: usage counts, the price applied, and the provider's signed receipt. Generated media files are stored temporarily so you can download them, then expire. The provider that serves a request necessarily processes its content.