
This is a direct GGUF conversion of Qwen/Qwen-Image.
The model files can be used in ComfyUI with the 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 / GGUF |
| VAE | Qwen-Image VAE | ComfyUI/models/vae | Safetensors |
Example outputs - sample size of 1, not strictly representative
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. 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.
This is a direct GGUF conversion of Qwen/Qwen-Image.
The model files can be used in ComfyUI with the 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 / GGUF |
| VAE | Qwen-Image VAE | ComfyUI/models/vae | Safetensors |
Example outputs - sample size of 1, not strictly representative
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. 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.