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 Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 38ddeaa94ac0d9e4e9c4207fa5b6614791a5afabdc4743f634da74def8957cb4
- Size of remote file:
- 3.66 MB
- SHA256:
- 9cfd41906be5c6dc5bf154677830e9dddede5d91c9075ac273b297da160088e4
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