Any-to-Any
Diffusers
Safetensors
MOVA
image-to-video
image-text-to-video
image-to-audio-video
image-text-to-audio-video
MOVA
OpenMOSS
SII
MOSI
sglang-diffusion
Instructions to use OpenMOSS-Team/MOVA-720p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OpenMOSS-Team/MOVA-720p with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OpenMOSS-Team/MOVA-720p", 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
Add pipeline tag, paper link, and citation
#7
by nielsr HF Staff - opened
This PR improves the model card by:
- Adding the
any-to-anypipeline tag to accurately reflect the model's ability to generate synchronized video and audio. - Linking the model to its research paper on Hugging Face.
- Adding the project page link under "Model Sources".
- Adding a BibTeX citation to help researchers cite the work.
yhzx233 changed pull request status to merged