--- base_model: Qwen/Qwen-Image library_name: gguf quantized_by: city96 license: apache-2.0 language: - en - zh pipeline_tag: text-to-image --- This is a direct GGUF conversion of [Qwen/Qwen-Image](https://huggingface.co/Qwen/Qwen-Image). The model files can be used in [ComfyUI](https://github.com/comfyanonymous/ComfyUI/) with the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) custom node. Place the required model(s) in the following folders: | Type | Name | Location | Download | | ------------ | ------------------------------ | --------------------------------- | ---------------- | | Main Model | Qwen-Image | `ComfyUI/models/diffusion_models` | GGUF (this repo) | | Text Encoder | Qwen2.5-VL-7B | `ComfyUI/models/text_encoders` | [Safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main/split_files/text_encoders) / [GGUF](https://huggingface.co/unsloth/Qwen2.5-VL-7B-Instruct-GGUF/tree/main)| | VAE | Qwen-Image VAE | `ComfyUI/models/vae` | [Safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/blob/main/split_files/vae/qwen_image_vae.safetensors) | [**Example workflow**](media/qwen-image_workflow.json) [**Example outputs**](media/qwen-image.jpg) - sample size of 1, not strictly representative  ### Notes > [!NOTE] > The Q5_K_M, Q4_K_M and most importantly the low bitrate quants (Q3_K_M, Q3_K_S, Q2_K) use a new dynamic logic where the first/last layer is kept in high precision. > > For a comparison, see this [imgsli page](https://imgsli.com/NDA0MTIy). With this method, even Q2_K remains somewhat usable. *As this is a quantized model not a finetune, all the same restrictions/original license terms still apply.*
