feat: add fp8 optimization for FLUX #2208
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Comparison of inference results with Chroma1-HD. bfloat16: fp8_scaled (block-wise quantization): fp8 (no quantization): The generation settings are the same as here, but the noise is generated on CUDA: https://huggingface.co/lodestones/Chroma1-HD#how-to-use |
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Add
--fp8_scaled(block-wise fp8 quantization) for FLUX.1 and Chroma models.See kohya-ss/musubi-tuner#564 for details about fp8 quantization.
Use
--fp8_scaledinstead of--fp8_baseforflux_train_network.py.