Image-to-Video
Diffusers
Safetensors
Wan2.2
astronex-world
world-model
video-generation
text-to-video
diffusion
video-diffusion-transformer
interactive
real-time
camera-control
action-conditioned
embodied-ai
robotics
autonomous-driving
Instructions to use Astronex-Lab/Astronex-World with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Wan2.2
How to use Astronex-Lab/Astronex-World with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download tokenizer/tokenizer.json from Astronex-Lab/Astronex-World: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/Astronex-Lab/Astronex-World/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://Astronex-Lab/Astronex-World/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Astronex-Lab/Astronex-World/resolve/main/tokenizer/tokenizer.json
16.8 MB
- Xet hash:
- f7b92491858c0923bd01aeb98a554de12094096a12d0195f578ff70b421702b7
- Size of remote file:
- 16.8 MB
- SHA256:
- 20a46ac256746594ed7e1e3ef733b83fbc5a6f0922aa7480eda961743de080ef
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.