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Explanation of INT8 ConvRot (FP8 is no longer needed)

3 hours ago
  • INT8 ConvRot is a new quantization method natively supported in ComfyUI v0.27.0 (released July 1, 2026).
  • It is particularly beneficial for GeForce RTX 20/30 series but also outperforms FP8 and FP8 Scaled on RTX 40/50 series.
  • INT8 ConvRot uses INT8 encoding with a ConvRot (Convolution + Rotation) technique to distribute outliers, solving INT8's accuracy issues.
  • It is faster than FP8 Scaled even on RTX 5090 (35% reduction in warm start time) and is expected to become the standard 8-bit format.
  • ComfyUI natively supports it; Forge Neo added support in commit 6d0bc6e (2026/7/7).
  • Hardware support for INT8 exists on all RTX 20/30/40/50 series, unlike FP8 which is only supported on RTX 40/50.
  • Performance reports indicate INT8 ConvRot > NVFP4 in speed, with accuracy approaching GGUF Q8.
  • Conversion tools and custom nodes (ComfyUI-INT8-Fast) exist, but native nodes are recommended after v0.27.0.
  • The article includes a detailed classification table of model formats (encoding, scaling, quantization methods).
  • Author measured Krea2 generation speed: INT8 ConvRot 2.56s warm start vs FP8 Scaled 3.91s on RTX 5090.

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