Krea 2 GGUF Sample Generations 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 C…
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