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:
- 86062af3798d490f7bb286834c0e0610fb6967dd5e16fbdae974989b9d757552
- Size of remote file:
- 285 MB
- SHA256:
- eeb799bdfcb86ce347f89cd7f286a901517d7e24d3123399d11a79f51329a8f9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.