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ComfyUI Quant Benchmark: 10 GPUs, 15 models, and 467 runs comparing int8 ConvRot, nvfp4, w4a8, and fp8 against bf16. Real numbers on what fits, what drifts, and why turbo LoRAs break on quants.

I wanted real numbers for "which quant should I use on my card," so I measured it. Five storage formats (fp8 cast, fp8 scaled, int8 ConvRot, w4a8, nvfp4) against the bf16 original, on base and turbo versions of Anima, Z-Image, MOSS-Image, Krea 2 and SDXL/Illustrious. Quality was graded on an RTX PR…

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  1. 2026-11-10 07:37 · r/StableDiffusion
    ComfyUI Quant Benchmark: 10 GPUs, 15 models, and 467 runs comparing int8 ConvRot, nvfp4, w4a8, and fp8 against bf16. Real numbers on what fits, what drifts, and why turbo LoRAs break on quants.

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