Instructions to use OpenDriveLab/SparseVideoNav_VGM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OpenDriveLab/SparseVideoNav_VGM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OpenDriveLab/SparseVideoNav_VGM", 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:
- bd1b504788f1ac2db44278cd1c3a6939010a4a8be97e60aaec422cb49ac8cd82
- Size of remote file:
- 7.19 MB
- SHA256:
- ba6e1f9cd4a66cfe3e2aca1bacdb9a3d952433f815a2fd770f76d89f5036e074
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.