Instructions to use stablediffusionapi/breakdomainanime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/breakdomainanime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/breakdomainanime", 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:
- 28690ed2f0c8e8423d5dea368505aaca59ac2aeb36bb73c29076e486f1b4d4cb
- Size of remote file:
- 1.72 GB
- SHA256:
- 1bab9f1bead000f1e3f89f7ee5ad8fae5e240791e0813c5f1d164fb757e1d939
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