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
Download models/SparseVideoNav-Models/svn_ckpt/diffusion_pytorch_model.safetensors from OpenDriveLab/SparseVideoNav_VGM: direct link, hf CLI and curl.
- Browser
- Download file 7.14 GB
-
https://huggingface.co/OpenDriveLab/SparseVideoNav_VGM/resolve/main/models/SparseVideoNav-Models/svn_ckpt/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://OpenDriveLab/SparseVideoNav_VGM/models/SparseVideoNav-Models/svn_ckpt/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/OpenDriveLab/SparseVideoNav_VGM/resolve/main/models/SparseVideoNav-Models/svn_ckpt/diffusion_pytorch_model.safetensors
7.14 GB
- Xet hash:
- 5ab0170f5a7e171256367d96603d7b85ba71ef3a3cd6981b1e11fb9c21916a7d
- Size of remote file:
- 7.14 GB
- SHA256:
- 4d7164a9dcd91bf95f6d494b4af20128479997481223db85701841aeb4a8866b
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