qwen-image-Q3_K_M.gguf
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qwen-image-Q3_K_M.gguf
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qwen-image-Q3_K_M.gguf

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:

TypeNameLocationDownload
Main ModelQwen-ImageComfyUI/models/diffusion_modelsGGUF (this repo)
Text EncoderQwen2.5-VL-7BComfyUI/models/text_encodersSafetensors / GGUF
VAEQwen-Image VAEComfyUI/models/vaeSafetensors

Example workflow

Example outputs - sample size of 1, not strictly representative

sample

Notes

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 model is sourced from an external transfer (transfer address: https://huggingface.co/city96/Qwen-Image-gguf ),if the original author has objections to this transfer, you can click,
Appeal
We will, within 24 hours, edit, delete, or transfer the model to the original author according to the original author's request

user_testgcjc

user_testgcjc

Other

Model Information

Frozen
Original author:
city96
Model Type:
GGUF
Basic Model:
Qwen-image
Resource Name:
models/unet_gguf/qwen-image-Q3_K_M.gguf
MD5:
3b58c98a5e816616162ecb2f853b6700

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:

TypeNameLocationDownload
Main ModelQwen-ImageComfyUI/models/diffusion_modelsGGUF (this repo)
Text EncoderQwen2.5-VL-7BComfyUI/models/text_encodersSafetensors / GGUF
VAEQwen-Image VAEComfyUI/models/vaeSafetensors

Example workflow

Example outputs - sample size of 1, not strictly representative

sample

Notes

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 model is sourced from an external transfer (transfer address: https://huggingface.co/city96/Qwen-Image-gguf ),if the original author has objections to this transfer, you can click,
Appeal
We will, within 24 hours, edit, delete, or transfer the model to the original author according to the original author's request