Instructions to use hf-internal-testing/tiny-anima-modular-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-anima-modular-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-anima-modular-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:
- 6f488b61fc9626ca6950017d133a63a7b85b524a167943c7c78667b5d2ad1baf
- Size of remote file:
- 9.75 MB
- SHA256:
- 86192180357afb3f5a419f22b56461699b6a9138f53a88f33645d608657213af
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