Instructions to use diffusers/FLUX.1-dev-torchao-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/FLUX.1-dev-torchao-int8 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-int8", 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
Commit History
-
Update README.md
Verified signature7c5cf4d -
Update README.md
Verified signaturee54db16 -
Update README.md
Verified signature71f111a -
Update README.md
Verified signature522679e -
Update README.md
Verified signaturebb5f850 -
Update README.md
Verified signature39a22b3 -
Update README.md
Verified signature64c92a9 -
Upload FluxPipeline
Verified signature5acdf4d -
initial commit
Verified signatureac8e8f9