Instructions to use hf-internal-testing/tiny-wan-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-wan-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-wan-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:
- f01f49fce2aae932cbb57598c978bdd1b2cdd52a848e70d2554ed9d0adb4d50d
- Size of remote file:
- 70.4 kB
- SHA256:
- 5972574afb9fc4993b642cb305ba81712d84e25e8969c5268d847c7164322f2f
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