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
- Draw Things
- DiffusionBee
- Xet hash:
- b53cbf063fad3dffb9bf8e9776bf276505a91b27580c5c72541e5cb64bb8dd18
- Size of remote file:
- 706 MB
- SHA256:
- 0eb4cf70d7768f4f61bb25e98b2ddaf545f6b33ecc2d7cc3eaa4670a09722fd2
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