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
- Draw Things
- DiffusionBee
- Xet hash:
- 280547a067b47d8e16b661a4313ddb9a12f31d36daae9170a0cd8f8807ab0544
- Size of remote file:
- 167 MB
- SHA256:
- 68a72ced74204f7bced2605d8a83843a90a954939e4d0eb0feeefeb170fcf83c
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