Files
chrmc40 097697cc76 Krea 2 (RAW + Turbo) integration + VAE-Utils vendored pack + modal polish
- Krea 2 RAW + Turbo: model configs, prompts, and templates (t2i/i2i, highdetail,
  turbo-t2i-3d-regional) — 3D-poser depth control bridges into Krea 2 via SDXL i2i
- Bundled ComfyUI-VAE-Utils pack: tiled detail-VAE decode + 2x latent-upscale weights
- Upscale/inpaint engines: native qwen_image_vae for krea2 sectional passes, euler the
  krea2 default sampler, real per-engine Steps/CFG defaults, CN-less tile denoise caps,
  krea2 resolution-shift sync
- Model-settings + install-section wiring for the new models and bundled pack
2026-06-26 20:01:54 -07:00

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{
"display_name": "Krea 2 - Turbo",
"model_name": "Krea 2 Turbo",
"version": "Turbo",
"architecture": "krea2",
"family": "krea2_turbo",
"author": "Krea AI",
"description": "Krea 2 Turbo — a distilled 12B dense Diffusion Transformer for fast, high-quality, aesthetic-first text-to-image at native 2K. Uses a Qwen3-VL text encoder and the Qwen Image VAE. 8-step, cfg 1.0. nvfp4 variant is the fastest on Blackwell (RTX 50-series) native FP4.",
"license": "Krea 2 Community License Agreement v.1 (open weights; commercial use requires an Enterprise License once total annual revenue reaches $1M)",
"tags": [
"krea",
"krea2",
"dit",
"transformer",
"photorealistic",
"aesthetic",
"turbo",
"fast"
],
"url": "https://huggingface.co/Comfy-Org/Krea-2",
"release_date": "2026-06-18",
"tag_sources": [],
"tag_format": "spaces",
"prompt_style": "natural",
"trigger": "",
"default_prompt_id": "krea2-default",
"negative": "",
"notes": "8 steps, cfg 1.0, euler+simple (the official Krea recipe — default; er_sde+simple is available for extra grain on photoreal skin), denoise 1.0. Distilled turbo — keep cfg at 1.0 (no real negative). Native 2K (supports 1K-2K). Reuses the Qwen Image VAE (qwen_image_vae.safetensors). Requires a ComfyUI build with the 'krea2' CLIP type (Krea 2 release, June 2026 or newer). RAW-trained Krea 2 LoRAs express on Turbo.",
"files": [
{
"label": "Diffusion Model",
"folder": "diffusion_models",
"variants": [
{
"precision": "fp8",
"filename": "krea2_turbo_fp8_scaled.safetensors",
"size_bytes": 13141730784,
"source": {
"provider": "huggingface",
"repo": "Comfy-Org/Krea-2",
"path": "diffusion_models/krea2_turbo_fp8_scaled.safetensors"
},
"quick_hash": null,
"sha256": null
},
{
"precision": "bf16",
"filename": "krea2_turbo_bf16.safetensors",
"size_bytes": 26283332608,
"source": {
"provider": "huggingface",
"repo": "Comfy-Org/Krea-2",
"path": "diffusion_models/krea2_turbo_bf16.safetensors"
},
"quick_hash": null,
"sha256": null
},
{
"precision": "mxfp8",
"filename": "krea2_turbo_mxfp8.safetensors",
"size_bytes": 13532318080,
"source": {
"provider": "huggingface",
"repo": "Comfy-Org/Krea-2",
"path": "diffusion_models/krea2_turbo_mxfp8.safetensors"
},
"quick_hash": null,
"sha256": null
},
{
"precision": "nvfp4",
"filename": "krea2_turbo_nvfp4.safetensors",
"size_bytes": 7673668288,
"source": {
"provider": "huggingface",
"repo": "Comfy-Org/Krea-2",
"path": "diffusion_models/krea2_turbo_nvfp4.safetensors"
},
"quick_hash": null,
"sha256": null
}
]
},
{
"label": "Text Encoder",
"folder": "text_encoders",
"variants": [
{
"precision": "fp8",
"filename": "qwen3vl_4b_fp8_scaled.safetensors",
"size_bytes": 5242467968,
"source": {
"provider": "huggingface",
"repo": "Comfy-Org/Krea-2",
"path": "text_encoders/qwen3vl_4b_fp8_scaled.safetensors"
},
"sha256": null
},
{
"precision": "bf16",
"filename": "qwen3vl_4b_bf16.safetensors",
"size_bytes": 8875719384,
"source": {
"provider": "huggingface",
"repo": "Comfy-Org/Krea-2",
"path": "text_encoders/qwen3vl_4b_bf16.safetensors"
},
"sha256": null
}
]
},
{
"label": "VAE",
"folder": "vae",
"filename": "qwen_image_vae.safetensors",
"size_bytes": 253806246,
"source": {
"provider": "huggingface",
"repo": "Comfy-Org/Krea-2",
"path": "vae/qwen_image_vae.safetensors"
},
"sha256": null
}
],
"nodes": {
"KSampler": {
"steps": 8,
"cfg": 1.0,
"sampler_name": "euler",
"scheduler": "simple",
"steps_range": [
6,
12
],
"cfg_range": [
1.0,
1.5
],
"sampler_name_options": [
"er_sde",
"euler",
"res_multistep",
"dpmpp_2m",
"euler_ancestral"
],
"scheduler_options": [
"simple",
"beta",
"sgm_uniform",
"normal"
]
},
"EmptySD3LatentImage": {
"width": 1024,
"height": 1536,
"_resolutions": [
{
"width": 1024,
"height": 1536
},
{
"width": 1536,
"height": 1024
},
{
"width": 1024,
"height": 1024
},
{
"width": 1152,
"height": 1536
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{
"width": 1536,
"height": 1152
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"height": 1408
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{
"width": 1152,
"height": 2048
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{
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"height": 1152
}
]
}
}
}