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
Mirror README.md from hkchengrex/MMAudio@eb13a1a9
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upstream/MMAudio/README.md
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---
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license: cc-by-nc-4.0
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tags:
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- video-to-audio
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---
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This repository contains the model described in [Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis](https://huggingface.co/papers/2412.15322).
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Please note that the checkpoints are licensed under CC BY-NC 4.0 and can be used for non-commercial purposes only.
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Code: https://github.com/hkchengrex/MMAudio.
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