Instructions to use shaitanzx/FooocusExtend with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shaitanzx/FooocusExtend with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("shaitanzx/FooocusExtend", 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
- Xet hash:
- 19b817212cbc693baced67ecef07a75f751bdcd3c001c6eee0ff3d4783fb0caf
- Size of remote file:
- 1.26 MB
- SHA256:
- a16710b93aeb34ab533aa5154c1a5c1b6ed420d1ac39791faede57087b694e7a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.