Instructions to use diffusers-test/testcliper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-test/testcliper with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-test/testcliper", 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:
- 5047ae32141eb0e5aba6c296d966ec37e171a075b048f181d28f4742f071e787
- Size of remote file:
- 706 MB
- SHA256:
- b7e0f882926121963afeab5c69d08495c55a44c3b5aabbd4d5b1d74058567952
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