Instructions to use hf-internal-testing/tiny-hidream-i1-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-hidream-i1-pipe 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/tiny-hidream-i1-pipe", 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:
- 5c0926e07b8ed274237baf3b9a34a2b466e2221342f619d63517548081899625
- Size of remote file:
- 294 kB
- SHA256:
- b88b3367c9eff519a74b142934eddbef3bfa568365a1ad8dfd3bed32b2361061
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