Instructions to use JackIsNotInTheBox/Generate_Audio_for_Video_Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JackIsNotInTheBox/Generate_Audio_for_Video_Checkpoints with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JackIsNotInTheBox/Generate_Audio_for_Video_Checkpoints", 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
| license: cc-by-nc-4.0 | |
| tags: | |
| - video-to-audio | |
| This repository contains the model described in [Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis](https://huggingface.co/papers/2412.15322). | |
| Please note that the checkpoints are licensed under CC BY-NC 4.0 and can be used for non-commercial purposes only. | |
| Code: https://github.com/hkchengrex/MMAudio. |