Instructions to use BUHK-VCG/Motion2VideoPrediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BUHK-VCG/Motion2VideoPrediction with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BUHK-VCG/Motion2VideoPrediction", 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:
- b330deca1c46b203dd3c73122355b3aacf9030c974472a1eaf8435da115b4b28
- Size of remote file:
- 6.1 GB
- SHA256:
- 2e8854068758d1771c203549e1c756a6c7b5e90d189bd018eb2f005f08b4c0f7
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