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.