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
Commit History
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Add pipeline tag, paper link, and citation
Verified signatureThis PR improves the model card by: - Adding the `any-to-any` pipeline 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.f06e427
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Verified signature- Update README.md (074c8f55e658218d5af5d61e2518b382ec15cf17) Co-authored-by: Xiangyu Peng <pxyy@users.noreply.huggingface.co>43b448c -
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