Instructions to use Cooper/breakdomain-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cooper/breakdomain-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Cooper/breakdomain-test", 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:
- 9d9f5d9741101eabf3303124d6c0e71f92d22dc2b2a73f330705f7b5cf647a64
- Size of remote file:
- 335 MB
- SHA256:
- 07f7723328e6fd407a42e1bd5061ab671c021846defd69dceaffee7aa91f08c3
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