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:
- 2acef20bb75fcdc8c96355fc24508e190d3e60b73608e2d294524bfdd1e7f286
- Size of remote file:
- 5.66 MB
- SHA256:
- 5baef1297391bd6fac7afa8cae98b861f673eaa80203266a1f15450a5ee7e235
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