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AlperKTS/Qwen-Image-2.1-GGUF
Qwen-Image-2.1-GGUF is a text-to-image model from AlperKTS. Use it when you need an image from a text prompt. The card lists the license as other.
Downloads · 30 days
13.2K
39% of all-time downloads
All-time downloads
33.5K
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.gguf18.4 GB · 100%
From the Hugging Face model README
Quantized GGUF weights of the state-of-the-art Qwen-Image 2.1 diffusion model for ComfyUI using ComfyUI-GGUF.
These models allow running Qwen-Image 2.1 on consumer GPUs with significantly reduced VRAM footprint while preserving maximum visual quality, text-rendering capabilities, and composition fidelity.
| File | Size | VRAM Recommended | Description |
|---|---|---|---|
qwen_image_2.1_Q8_0.gguf | ~7.2 GB | 12GB+ | Near-lossless precision. Best quality & fidelity. |
qwen_image_2.1_Q6_K.gguf | ~5.5 GB | 8GB - 12GB | Optimal balance of high quality and memory efficiency. |
qwen_image_2.1_Q5_K_M.gguf | ~4.6 GB | 8GB | Fast inference, lowest VRAM consumption, excellent quality. |
Note: The original BF16 diffusion model is ~14.2 GB.
Make sure you have ComfyUI-GGUF installed in your custom_nodes folder:
cd ComfyUI/custom_nodes
git clone https://github.com/city96/ComfyUI-GGUF
Diffusion Model (GGUF):
.gguf files from this repo (e.g. qwen_image_2.1_Q8_0.gguf).ComfyUI/models/diffusion_models/ (or ComfyUI/models/unet/)VAE:
qwen_image_2.1_vae_bf16.safetensors from Comfy-Org/Qwen-Image-2.1.ComfyUI/models/vae/Text Encoder / CLIP:
qwen3vl_8b_fp8_scaled.safetensors or qwen3vl_8b_int8_convrot.safetensors (or qwen3vl_8b_bf16.safetensors) from Comfy-Org/Qwen-Image-2.1.ComfyUI/models/text_encoders/ (or ComfyUI/models/clip/)CLIPLoader, select loader type qwen_image.Pre-configured workflows are included in the workflows/ folder:
Qwen_Image_2.1_GGUF_Text_to_Image.json: Ready-to-run ComfyUI text-to-image workflow using UnetLoaderGGUF.Qwen_Image_2.1_GGUF_Image_Edit.json: Ready-to-run ComfyUI image-to-image / editing workflow using UnetLoaderGGUF.UnetLoaderGGUF (from ComfyUI-GGUF)unet_name: Select qwen_image_2.1_Q8_0.gguf (or Q6_K / Q5_K_M)