alfredplpl's picture
Update README.md
f089b9c verified
|
raw
history blame
No virus
679 Bytes
metadata
library_name: diffusers
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md

How to cast fp8

  1. Install quanto-optinum.
pip install optimum-quanto
  1. Run the script:
import torch
from safetensors.torch import save_file

from diffusers import FluxTransformer2DModel, FluxPipeline
from optimum.quanto import freeze, qfloat8, quantize

transformer = FluxTransformer2DModel.from_single_file("modern-anime.safetensors", torch_dtype=torch.bfloat16)
quantize(transformer, weights=qfloat8)
freeze(transformer)

transformer.save_pretrained("transformer")