| --- |
| tags: |
| - int8-convrot |
| - comfyui |
| --- |
| # ComfyUI-Native-Int8-ConvRot |
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| Int8 ConvRot models, converted to the format ComfyUI Expects. |
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| Int8 ConvRot is the best quantization method so far in terms of Quality:Performance ratio. In my personal experience Int8 ConvRot models provide a similar level of quality to BF16 at a generation time matching or beating FP8_Scaled |
| -- |
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| > 'INT8 ConvRot is row-wise INT8 with parameters and activations rotated before quantization via ConvRot.' https://github.com/BobJohnson24/ComfyUI-INT8-Fast/blob/main/Metrics.md |
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| Quality Ranking: |
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| `GGUF Q8 > INT8 ConvRot > MXFP8 > FP8 >= INT8 Row > INT8 Tensorwise` |
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| References: |
| 1. https://www.reddit.com/r/StableDiffusion/comments/1uimp1j/so_is_int8convrot_the_new_hot_thing/ |
| 2. https://github.com/BobJohnson24/ComfyUI-INT8-Fast/blob/main/Metrics.md |
| 3. https://huggingface.co/Comfy-Org/Boogu-Image/discussions/10#6a404ed359b6d5b4e834a644 |
| 4. https://github.com/Comfy-Org/ComfyUI/pull/14636 |
| 5. https://huggingface.co/bertbobson/ComfyUI-INT8_ConvRot |
| |
