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:
- e7b449983c01a882627f724065ec7d226feb266a769504deb1bfacd73f394e30
- Size of remote file:
- 1.72 GB
- SHA256:
- b7c8bf8e9e485c552e2f1266790c9a9735ef5c16a67d582f6947b52979354702
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