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 vae/diffusion_pytorch_model.bin from diffusers/FLUX.1-dev-torchao-fp8: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/diffusers/FLUX.1-dev-torchao-fp8/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://diffusers/FLUX.1-dev-torchao-fp8@refs/pr/1/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/diffusers/FLUX.1-dev-torchao-fp8/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.bin
168 MB
- Xet hash:
- 523757c3049c44ec8388c793edc5940977ccb5ff4375ac61af7418d6e50f2660
- Size of remote file:
- 168 MB
- SHA256:
- 71626130e357339cfff205609e41df5576b10274702aebed2e00656192b1c61a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.