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/spiece.model from Astronex-Lab/Astronex-World: direct link, hf CLI and curl.
- Browser
- Download file 4.55 MB
-
https://huggingface.co/Astronex-Lab/Astronex-World/resolve/main/tokenizer/spiece.model
- Command line
-
hf download hf://Astronex-Lab/Astronex-World/tokenizer/spiece.model
-
curl -L -o spiece.model https://huggingface.co/Astronex-Lab/Astronex-World/resolve/main/tokenizer/spiece.model
4.55 MB
- Xet hash:
- dc1aa1312abfae137f5027bba32255b5b00a18106513c6ad3e2a55475f1fb4a0
- Size of remote file:
- 4.55 MB
- SHA256:
- e3909a67b780650b35cf529ac782ad2b6b26e6d1f849d3fbb6a872905f452458
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