Instructions to use hf-internal-testing/tiny-wan-animate-2-modular with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-wan-animate-2-modular 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-wan-animate-2-modular", 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:
- 3c09f5b136f12f6834ec6ea75d768d33bd4057d131f6a388767edae1991c903a
- Size of remote file:
- 277 kB
- SHA256:
- 54dadb55b583429729a927c6520359f6fba1d24fdae620ea839a96aeb3a84dbf
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