Instructions to use pruna-test/wan-t2v-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pruna-test/wan-t2v-tiny-random with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pruna-test/wan-t2v-tiny-random", 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:
- 672016bb3e6a888cca3754ee37972b7e21817f0dbfc38f1cc6390f99a981d71f
- Size of remote file:
- 254 MB
- SHA256:
- 39ffe6326a57bbc7c8a704d862e482588e3affc858bdbfc123a91b5ac3a3a42a
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