Instructions to use BUHK-VCG/MotionPrediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BUHK-VCG/MotionPrediction 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/MotionPrediction", 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:
- b732043d3b74f5910b46e8aeffa31faa13344aa44168e79501b9d462085bece7
- Size of remote file:
- 6.1 GB
- SHA256:
- 753d39b0f90fe28de26debd5f77d6195a0abf80a132091ee49e953b7d3c64b50
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