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:
- 740a55e4633f44859ea19a9724b536fdc691b4a008dbaf699f78019a56b6f16c
- Size of remote file:
- 187 kB
- SHA256:
- c7176313bb1aedeb6808f1009d130eb370d3b1e15420286b9644d40a5f4141ef
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