Instructions to use hf-internal-testing/unidiffuser-diffusers-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/unidiffuser-diffusers-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("hf-internal-testing/unidiffuser-diffusers-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
- Xet hash:
- a026a8409b117a5904a86cc98a1706b402d5b18ccb46cfd0efd402923ce8ce85
- Size of remote file:
- 5.68 MB
- SHA256:
- 8a67163f549e069e9350a75409d34a5ffc4cd7608e6569e6458539db7d60dc7e
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