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        "## Model Links\n\n- [Hugging Face: molbal/fibo-2.0-GGUF](https://huggingface.co/molbal/fibo-2.0-GGUF)\n- [Fibo 2.0 information page](https://molbal.github.io/gguf/models/fibo-2.0)\n- [GGUF Loader](https://registry.comfy.org/publishers/molbal/nodes/comfyui-gguf-reboot)\n\n**diffusion_models**\n\n- [fibo2-edit-turbo-Q8_0.gguf](https://huggingface.co/molbal/fibo-2.0-GGUF/blob/main/fibo2-edit-turbo-Q8_0.gguf)\n\n**text_encoders**\n\n- [qwen3vl_4b_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/Fibo-2.0/resolve/main/text_encoders/qwen3vl_4b_int8_convrot.safetensors)\n\n**vae**\n\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/Fibo-2.0/resolve/main/vae/flux2-vae.safetensors)\n\n## Model Storage Location\n\n- Diffusion model: `ComfyUI/models/diffusion_models/fibo2-edit-turbo-Q8_0.gguf`\n- Text encoder: `ComfyUI/models/text_encoders/qwen3vl_4b_int8_convrot.safetensors`\n- Fibo 2.0 VAE: `ComfyUI/models/vae/fibo2-flux2-vae.safetensors` (save the downloaded `flux2-vae.safetensors` under this name to keep it separate from other FLUX.2 VAEs)\n\nThe diffusion model loads through the `Unet Loader (GGUF, Dynamic VRAM)` node. This loader gives the best performance; the other GGUF quantizations will be in the same release repository.\n\n- Input image: `ComfyUI/input/fibo2-test-input.png` (or select another image in the Load Image node).\n"
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        "text": "## Model Links\n\n- [Hugging Face: molbal/fibo-2.0-GGUF](https://huggingface.co/molbal/fibo-2.0-GGUF)\n- [Fibo 2.0 information page](https://molbal.github.io/gguf/models/fibo-2.0)\n- [GGUF Loader](https://registry.comfy.org/publishers/molbal/nodes/comfyui-gguf-reboot)\n\n**diffusion_models**\n\n- [fibo2-edit-turbo-Q8_0.gguf](https://huggingface.co/molbal/fibo-2.0-GGUF/blob/main/fibo2-edit-turbo-Q8_0.gguf)\n\n**text_encoders**\n\n- [qwen3vl_4b_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/Fibo-2.0/resolve/main/text_encoders/qwen3vl_4b_int8_convrot.safetensors)\n\n**vae**\n\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/Fibo-2.0/resolve/main/vae/flux2-vae.safetensors)\n\n## Model Storage Location\n\n- Diffusion model: `ComfyUI/models/diffusion_models/fibo2-edit-turbo-Q8_0.gguf`\n- Text encoder: `ComfyUI/models/text_encoders/qwen3vl_4b_int8_convrot.safetensors`\n- Fibo 2.0 VAE: `ComfyUI/models/vae/fibo2-flux2-vae.safetensors` (save the downloaded `flux2-vae.safetensors` under this name to keep it separate from other FLUX.2 VAEs)\n\nThe diffusion model loads through the `Unet Loader (GGUF, Dynamic VRAM)` node. This loader gives the best performance; the other GGUF quantizations will be in the same release repository.\n\n- Input image: `ComfyUI/input/fibo2-test-input.png` (or select another image in the Load Image node).\n"
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