Configuring GGUF for low VRAM GPUs in ComfyUI
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How to use GGUF nodes and the UNET Loader in ComfyUI so you can run these AI models even on graphics cards with only 8GB-16GB of VRAM.
Tips for Choosing a Model Based on VRAM
If your GPU has only 8GB of VRAM, choose the Q2 version of the model (roughly 7GB in size). For 12GB of VRAM, you can use mid-sized versions. If you have 16GB of VRAM or more, you can try less compressed versions for better quality.
The Trade-off Between Size and Quality
Using GGUF models (like Q2) will drastically reduce VRAM usage (from 40GB down to 7GB), though the output quality may appear slightly lower compared to the full model.
Update Regularly
Even if you already have the GGUF node installed, it is recommended to regularly 'Update' the node via the Manager to ensure compatibility with the latest models like Qwen imageEdit.
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