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:
- 7d3b9dbb0ec67bf0cadc9ac327b96ece108cd8a353bb6bb0f97e94fd918d12c7
- Size of remote file:
- 16.8 MB
- SHA256:
- 5c2ed5ecfa7f855e24d84ed71c8783aef28b40f822aa46f76807e59ebeec5cee
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