Instructions to use Nvidia-CMU25/DiffusionVideo2WorldGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nvidia-CMU25/DiffusionVideo2WorldGeneration with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Nvidia-CMU25/DiffusionVideo2WorldGeneration", trust_remote_code=True, device_map="auto")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nvidia-CMU25/DiffusionVideo2WorldGeneration", trust_remote_code=True, dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 264 Bytes
7e47687 | 1 2 3 4 5 6 7 8 | # Release Cadence
| Version | Description | Date |
|------------|----------|----------|
| [v1.0](release_notes/v0p1.md) | Initial diffusion and autoregressive WFMs release | 2025-01-06 |
| [v0.1](release_notes/v0p1.md) | Initial tokenizer release | 2024-11-06 |
|