<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/49ef4f64-5bbf-4a88-9105-6c8acb1e2a37/original=true/49ef4f64-5bbf-4a88-9105-6c8acb1e2a37.jpeg" /> Files:<ul><li><a target="_blank" rel="ugc" href="https://huggingface.co/vantagewithai/Krea-2-Raw-GGUF/blob/main/krea2_raw-Q6_K.gguf">Diffusion model</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/ethanfel/Qwen3-VL-4B-Heretic-ComfyUI-ConvRot-INT8/blob/main/qwen3-vl-4b-heretic_int8_dynamic_convrot.safetensors">Text encoder</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan2_1_VAE_fp32.safetensors">Vae</a></li><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/2726698/krea-2-raw-turbo-extracted-lora?modelVersionId=3064924">Turbo LoRA</a></li><li>If you want ControlNet, you need to git clone the <a target="_blank" rel="ugc" href="https://github.com/facok/comfyui-krea2-controlnet">repo </a>into custom_nodes and get <a target="_blank" rel="ugc" href="https://huggingface.co/Patil/Krea-2-depth-controlnet/tree/main">this LoRA model</a>.</li></ul>Ollama model:<ul><li><a target="_blank" rel="ugc" href="https://huggingface.co/mradermacher/gemma-4-12B-it-uncensored-heretic-GGUF/blob/main/gemma-4-12B-it-uncensored-heretic.Q8_0.gguf">https://huggingface.co/mradermacher/gemma-4-12B-it-uncensored-heretic-GGUF/blob/main/gemma-4-12B-it-uncensored-heretic.Q8_0.gguf</a></li></ul>Enjoy!

Files with SHA256: bd06bb8a30f00b9f9e13b0bc921003d249bff2e44656e832ada3979a63961ea2