GGUF Quantization (Q4 / Q5 / Q8)
Block-quantized weight format that shrinks 24 GB Flux and Hunyuan Video models to fit 8 GB and 12 GB GPUs.
Updated Oct 17, 2026 · 1 min read
- Term
- GGUF Quantization (Q4 / Q5 / Q8)
- In Short
- Block-quantized weight format that shrinks 24 GB Flux and Hunyuan Video models to fit 8 GB and 12 GB GPUs.
- Applies To
- ComfyUI SD 1.5, SDXL, Flux & Video
Definition: GGUF Quantization (Q4 / Q5 / Q8)
Block-quantized weight format that shrinks 24 GB Flux and Hunyuan Video models to fit 8 GB and 12 GB GPUs.
Originally created for llama.cpp, GGUF weights loaded via ComfyUI-GGUF preserve near-FP16 visual quality while cutting VRAM consumption by 50–70%.
How to tune this in your ComfyUI workflow
Every parameter in ComfyUI is exposed directly on its node rather than hidden behind global settings tabs. You can inspect or override this behavior per pass in ComfyUI Studio.
New to node graphs? Grab the Windows installer at /download and open a built-in template from the workflow menu.
FAQs
What does GGUF Quantization (Q4 / Q5 / Q8) do in ComfyUI?
Block-quantized weight format that shrinks 24 GB Flux and Hunyuan Video models to fit 8 GB and 12 GB GPUs. Originally created for llama.cpp, GGUF weights loaded via ComfyUI-GGUF preserve near-FP16 visual quality while cutting VRAM consumption by 50–70%.
Where do I adjust this setting on the canvas?
Check the corresponding loader or KSampler widget in your active workflow graph.
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