Instructions to use diffusers/FLUX.1-dev-torchao-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/FLUX.1-dev-torchao-fp8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/FLUX.1-dev-torchao-fp8", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download transformer/diffusion_pytorch_model-00002-of-00002.bin from diffusers/FLUX.1-dev-torchao-fp8: direct link, hf CLI and curl.
- Browser
- Download file 1.94 GB
-
https://huggingface.co/diffusers/FLUX.1-dev-torchao-fp8/resolve/main/transformer/diffusion_pytorch_model-00002-of-00002.bin
- Command line
-
hf download hf://diffusers/FLUX.1-dev-torchao-fp8/transformer/diffusion_pytorch_model-00002-of-00002.bin
-
curl -L -o diffusion_pytorch_model-00002-of-00002.bin https://huggingface.co/diffusers/FLUX.1-dev-torchao-fp8/resolve/main/transformer/diffusion_pytorch_model-00002-of-00002.bin
1.94 GB
- Xet hash:
- acaf2e75a6917c3d9e05f22e885899f497e59b96a53fca1874c983f125c0c39d
- Size of remote file:
- 1.94 GB
- SHA256:
- 6eccb0ae8adff86385b78b862053e30a0d1dc1504bd7656f19be4e92024681c9
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