Qwen-Image-2.1 Uncensored GGUF

GGUF quantizations of Qwen/Qwen-Image-2.1 for local image generation using the original upstream base weights.

Benchmark

Qwen-Image-2.1 benchmark

GGUF files

Quantization File Size
Q8_0 qwen-image-2.1-Q8_0.gguf 7.59 GiB
Q6_K qwen-image-2.1-Q6_K.gguf 5.88 GiB
Q5_K_M qwen-image-2.1-Q5_K_M.gguf 5.22 GiB
Q4_K_M qwen-image-2.1-Q4_K_M.gguf 4.6 GiB
Q4_0 qwen-image-2.1-Q4_0.gguf 4.05 GiB

Q4_K_M is recommended for the best balance of size and quality.

Usage

Use the model with ComfyUI and ComfyUI-GGUF.

These GGUF files contain the Qwen-Image-2.1 image transformer; the original text encoder and VAE are also required for inference.

  1. Download one GGUF file from this repository.
  2. Place it in the ComfyUI diffusion models directory.
  3. Download the required text encoder and VAE from Qwen/Qwen-Image-2.1.
  4. Place them in their corresponding ComfyUI model directories.
  5. Load a Qwen-Image-2.1 workflow and select the GGUF model.
ComfyUI/
└── models/
    β”œβ”€β”€ diffusion_models/
    β”‚   └── qwen-image-2.1-Q4_K_M.gguf
    β”œβ”€β”€ text_encoders/
    β”‚   └── ...
    └── vae/
        └── ...

Uncensored

These are quantizations of the original Qwen-Image-2.1 weights; no fine-tuning, abliteration, or other weight modification was applied. Local testing found no pipeline-level safety checker or prompt blacklist, and the model generated the tested adult, nudity, violence, and other sensitive categories without observed runtime refusal. Hosted services may apply their own moderation.

Source and build

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