Instructions to use Alibaba-Research-Intelligence-Computing/Tora_T2V_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alibaba-Research-Intelligence-Computing/Tora_T2V_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Alibaba-Research-Intelligence-Computing/Tora_T2V_diffusers", 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
Commit History
-
Update model card for Tora2
Verified signatureThis PR updates the model card to reflect the new model, Tora2, as presented in the paper [Tora2: Motion and Appearance Customized Diffusion Transformer for Multi-Entity Video Generation](https://huggingface.co/papers/2507.05963). Specifically, it: - Updates the model title and abstract to reflect Tora2. - Updates the paper link to the official Hugging Face paper page for Tora2. - Updates the project page link to the dedicated Tora2 project page. - Enriches the metadata with structured links for the paper, project page, and GitHub repository. - Adds new tags (`tora2`, `multi-entity-video-generation`) for better discoverability. - Integrates comprehensive usage sections (Installation, Inference, Training, etc.) directly from the GitHub repository README to provide a more self-contained and useful resource on the Hub. - Updates the citation to reflect the Tora2 paper.4fbf53b
-
Update README.md
Verified signaturee684092 -
Update README.md
Verified signature333e5a5 -
Update README.md
Verified signature75fefe2
-
Update README.md
Verified signature69069dc -
add weights
Leojcebe9e83
-
initial commit
Verified signatured6180dc