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)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nvidia-CMU25/DiffusionVideo2WorldGeneration", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Updated README for inference code
Verified signature38d216d
-
updated readme
Verified signature0a6b871 -
Updated Readme
Verified signature02fd416 -
Fixed log in dit
Verified signaturef0de413 -
Fixed pipeline call
Verified signature5e6c3a4 -
Fixed args to forward
Verified signaturecac716a -
added image input path
Verified signatureb7bc788
-
Change utils dependency
Verified signature5604d40 -
Modified config and video2world_hf
Verified signature7e47687
-
Upload modified files
Verified signature5a33b3a -
initial commit
Verified signature0660fbf