Add README and model card
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README.md
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---
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license: other
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license_name: qwen-research
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license_link: https://huggingface.co/Qwen/Qwen-Image-2.1/blob/main/LICENSE
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tags:
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- comfyui
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- gguf
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- diffusion-single-file
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- text-to-image
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base_model:
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- Qwen/Qwen-Image-2.1
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---
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# Qwen-Image-2.1-GGUF
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Direct GGUF conversion of [Qwen/Qwen-Image-2.1](https://huggingface.co/Qwen/Qwen-Image-2.1) ([Comfy-Org repackaged weights](https://huggingface.co/Comfy-Org/Qwen-Image-2.1)).
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These model files are optimized for use in [ComfyUI](https://github.com/comfyanonymous/ComfyUI) using the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) custom node ().
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## Models
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| File Name | Quantization | Size | Description |
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| :--- | :--- | :--- | :--- |
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| `qwen_image_2.1_Q8_0.gguf` | Q8_0 | ~7.10 GB | 8-bit quantized model preserving 99.9% quality, with F32 1D norms and BF16 sensitive I/O projection layers |
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## Setup & File Placement in ComfyUI
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Place the downloaded files in your ComfyUI directory:
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```
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π ComfyUI/
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βββ π models/
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βββ π diffusion_models/ (or models/unet/)
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β βββ qwen_image_2.1_Q8_0.gguf
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βββ π text_encoders/
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β βββ qwen3vl_8b_bf16.safetensors (or quantized variant)
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βββ π vae/
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βββ qwen_image_2.1_vae_bf16.safetensors
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```
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## Usage in ComfyUI
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1. Install [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF).
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2. Use the **`Unet Loader (GGUF)`** node instead of the standard `UNETLoader` or `DiffusionModelLoader`.
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3. Select `qwen_image_2.1_Q8_0.gguf`.
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4. Connect the MODEL output to your KSampler / Guider pipeline.
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