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:
- 6736ac4e52907df76cb9b5708b450dbe60a61e6829c6fa228070ebfdc1842650
- Size of remote file:
- 17.3 MB
- SHA256:
- 5a69d1c681aef2251802e69131631868b451c3874e0afb46f55bd6cc820e6400
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.