Instructions to use dorkian/raCC0ons with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dorkian/raCC0ons with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dorkian/raCC0ons", dtype=torch.bfloat16, device_map="cuda") prompt = "racc0ons, full_body, baseball_uniform, backwards_baseball_hat, angry, attitude" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b66db9d5b7e5ed4f554ef14d0aa696f2bf906a93f19642163425a4c60d832829
- Size of remote file:
- 492 MB
- SHA256:
- 1744cce0ae98f63cca7d5fb251d09adc5f41f2cf7a248bf8a031467478eed42a
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