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:
- 0b9cf33f9c70fbddcaf4c83f20243589d0474e654c952b75037e16ecfa2a9e0e
- Size of remote file:
- 86.6 kB
- SHA256:
- 31df5e33d86c5d8721e9d5bd882adb1f34a5864f418ae6fd2e5cf310a75549b1
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