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:
- 255b6410397888295a06548e9ac3bd22d0c78b7e3d3f3e6933f510e1c46e13b7
- Size of remote file:
- 64.4 MB
- SHA256:
- d6c82969708cb75b742e11be5b6b0d93b9a71bee5318de56e345187d23b97cba
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