AI BriefingPickQwen-Image-2.1-GGUF: Run Qwen-Image 2.1 Locally with 4.6GB VRAM
abenzerps/Qwen-Image-2.1-GGUF
About the project
Quantize the original weights of Qwen-Image 2.1 into GGUF format to generate images in a local environment. It runs in conjunction with ComfyUI-GGUF nodes, and the repository includes the text encoder and VAE files, allowing for immediate setup without separate downloads.
The Q4_K_M quantized version has a size of 4.6GB, significantly reducing VRAM load. By offloading the text encoder to system RAM, you can secure 9–17GB of VRAM, enabling stable inference on low-spec GPUs without a drop in generation speed.
There are no built-in safety filters or content censorship, so adult or sensitive images can be generated without restrictions based on the prompt. Distributed under the Qwen Research License, it is suitable for users who want full control locally.
abenzerps/Qwen-Image-2.1-GGUF
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