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:
- 4b6e73a5719c57a7d907def871c954b6e55e245af8da28be99c2310655861069
- Size of remote file:
- 2.24 MB
- SHA256:
- 876d3766ad8919080170f481c24432106a8d94d5d75d3a83527c7ceea30f59b5
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