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  - image-generation
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  - comfyui
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  - comfyui-gguf
 
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  ---
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  # Qwen-Image-2.1-Uncensored-GGUF -> Genesis
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  - **Optimal Setup (GPU + RAM)**: Keep the **GGUF diffusion model in GPU VRAM** (where speed is crucial during sampling) and let the **text encoder run in / offload to System RAM (CPU)**. Because text encoding only runs once per prompt, this saves 9–17 GB of VRAM with virtually zero impact on generation speed.
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  - **Recommended Configuration**:
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- - **Diffusion**: `qwen-image-2.1-UC-Q4_K_M.gguf` (~4.6 GB in VRAM)
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- - **Text Encoder**: `qwen3vl_8b_int8_convrot.safetensors` (~9.35 GB in RAM)
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  - **Low VRAM Mode**: If you experience VRAM out-of-memory errors, start ComfyUI with the `--lowvram` argument.
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- ## Uncensored
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-
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- This GGUF release has no built-in safety checker or content filter. It generates adult, NSFW, and sensitive imagery directly without prompt refusals or blacked-out images. Output behavior depends solely on the input prompts and the environment in which the model is executed.
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-
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  ## Source and build
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  - **Source model:** [Qwen/Qwen-Image-2.1](https://huggingface.co/Qwen/Qwen-Image-2.1)
 
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  - image-generation
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  - comfyui
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  - comfyui-gguf
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+ - genesis
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  ---
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  # Qwen-Image-2.1-Uncensored-GGUF -> Genesis
 
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  - **Optimal Setup (GPU + RAM)**: Keep the **GGUF diffusion model in GPU VRAM** (where speed is crucial during sampling) and let the **text encoder run in / offload to System RAM (CPU)**. Because text encoding only runs once per prompt, this saves 9–17 GB of VRAM with virtually zero impact on generation speed.
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  - **Recommended Configuration**:
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+ - **Diffusion**: `NVFP4`
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+ - **Text Encoder**: `NVFP4`
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  - **Low VRAM Mode**: If you experience VRAM out-of-memory errors, start ComfyUI with the `--lowvram` argument.
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  ## Source and build
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  - **Source model:** [Qwen/Qwen-Image-2.1](https://huggingface.co/Qwen/Qwen-Image-2.1)