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README.md
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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**: `
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- **Text Encoder**: `
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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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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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## 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)
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