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| license: other | |
| license_name: qwen-research | |
| base_model: | |
| - Qwen/Qwen-Image-2.1 | |
| base_model_relation: quantized | |
| pipeline_tag: text-to-image | |
| library_name: gguf | |
| tags: | |
| - gguf | |
| - qwen | |
| - image-generation | |
| - comfyui | |
| - comfyui-gguf | |
| # Qwen-Image-2.1 Uncensored GGUF | |
| GGUF quantizations of [Qwen/Qwen-Image-2.1](https://huggingface.co/Qwen/Qwen-Image-2.1) for local image generation using the original upstream base weights. | |
| ## Benchmark | |
|  | |
| ## GGUF files | |
| | **Quantization** | **File** | **Size** | | |
| | --- | --- | ---: | | |
| | Q8_0 | [**qwen-image-2.1-Q8_0.gguf**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/main/qwen-image-2.1-Q8_0.gguf) | 7.59 GiB | | |
| | Q6_K | [**qwen-image-2.1-Q6_K.gguf**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/main/qwen-image-2.1-Q6_K.gguf) | 5.88 GiB | | |
| | Q5_K_M | [**qwen-image-2.1-Q5_K_M.gguf**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/main/qwen-image-2.1-Q5_K_M.gguf) | 5.22 GiB | | |
| | Q4_K_M | [**qwen-image-2.1-Q4_K_M.gguf**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/main/qwen-image-2.1-Q4_K_M.gguf) | 4.6 GiB | | |
| | Q4_0 | [**qwen-image-2.1-Q4_0.gguf**](https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-GGUF/blob/main/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](https://github.com/comfyanonymous/ComfyUI) and [ComfyUI-GGUF](https://github.com/city96/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](https://huggingface.co/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. | |
| ```text | |
| ComfyUI/ | |
| βββ models/ | |
| βββ diffusion_models/ | |
| β βββ qwen-image-2.1-Q4_K_M.gguf | |
| βββ text_encoders/ | |
| β βββ ... | |
| βββ vae/ | |
| βββ ... | |
| ``` | |
| ## 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 | |
| - **Source model:** [Qwen/Qwen-Image-2.1](https://huggingface.co/Qwen/Qwen-Image-2.1) | |
| - **Source revision:** `b3179ad355be050328e483a9dfdd9e60cd62adfa` | |
| - **Conversion:** [stable-diffusion.cpp](https://github.com/leejet/stable-diffusion.cpp) commit `1330cebae8f2ba99249df846cc0c9444fcbd4308` | |
| - **License:** Qwen Research License | |
| - **Checksums:** [SHA256SUMS](./SHA256SUMS) | |