Instructions to use Fansy/poison with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fansy/poison with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Fansy/poison", 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:
- f60a1718c383a5ad7f1c7145553828f059deb8113ead32d11632e93b2bbc9507
- Size of remote file:
- 1.92 MB
- SHA256:
- 2ff59681e6657cc26b7dc48bf347a0ede1c37b3a59773807826a3fdf0be9feb8
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