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:
- 8f12a3caa046517f51dc576db9141eb093d69bb9ad7d432271ca3f83e82eed54
- Size of remote file:
- 2.1 MB
- SHA256:
- abd23e56f9608bb7065bcbfd5c5774db81746e47bc8aa34aeaa787a9b91e05a2
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