Instructions to use Lucetepolis/OctaFuzz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lucetepolis/OctaFuzz with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lucetepolis/OctaFuzz", 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
- Draw Things
- DiffusionBee

- Xet hash:
- 115582d9aed3caf22d77aa14a759515e54266bf33643a588e0b0b85a4e9130ad
- Size of remote file:
- 1.27 MB
- SHA256:
- 1762cf0e87044f83f8d3603280f77858c6720174655ff8019fee47749065f983
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