---

license: other

license_name: krea-2-community-license

license_link: LICENSE

library_name: comfyui

base_model:

- krea/Krea-2-Turbo

base_model_relation: quantized

tags:

- comfyui

- gguf

- krea-2

---

<h3 align="left">Krea 2 GGUF Sample Generations</h3>

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<td><img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/5L4UnkmiYc4fYOQsGc6CP.png" alt="Sample 1" width="400"/></td>

<td><img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/Fk54nYMWLsi2tR7PHQJPN.png" alt="Sample 2" width="400"/></td>

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<td><img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/Wft1O2vOQhDvC7Jzfxj_l.png" width="400"/></td>

<td><img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/eDyitcFvxGe1i1yX_cMPJ.png" width="400"/></td>

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<td align="center"><em></em></td>

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</table>

KREA-2 GGUF Weights

Quantized GGUF weights for the Krea-2 Base model, optimized for low-VRAM and consumer hardware local workflows via ComfyUI.

🚀 Overview

Krea-2 is a Diffusion Transformer (DiT). Standard GGUF custom nodes will throw an Unexpected architecture type error natively. To run these weights, you must use our patched custom node fork.

📥 Downloading and Installation

1. Custom Node Requirements (Mandatory)

Standard loaders do not yet recognize krea2 architecture tags in GGUF metadata. Clone the following custom node into your ComfyUI/custom_nodes/ directory:

• Repository: RealRebelAI/ComfyUI-GGUF_KREA-2

2. Required Support Models

Place these base model files in your standard ComfyUI models/ directory:

• Text Encoder (CLIP): Qwen3-VL-4B-FP8-Scaled.safetensors (Load via CLIPLoader, ensuring Type is set to krea2)
• VAE: qwen_image_vae.safetensors (Load via VAELoader)

3. GGUF Weight Installation

1. Download your preferred quantization file (e.g., Krea-2-Base-Q4_K_S.gguf) from the Files and versions tab of this repository.
2. Place the downloaded .gguf file into your ComfyUI/models/unet/ (or equivalent GGUF directory) folder.
3. Load the model in ComfyUI using the UnetLoaderGGUF node.

⚙️ Workflow Notes

Ensure your conditioning setup is mapped appropriately to handle the stacked hidden state requirements of multimodal DiTs to avoid latent sequence mismatch errors.