Fine-tuned MMAudio Model

Model Details

• Base Architecture: large_44k (from the original MMAudio)
• Fine-tuning: The model was fine-tuned on a private dataset of NSFW content to explore the model's adaptability to specific audio domains. Due to the nature of the training data, the generated audio may reflect mature themes.
• Capabilities: Video-to-Audio, Image-to-Audio, Text-to-Audio.

How to Use

• Python 3.10+
• Git and Git LFS (git-lfs must be installed)

Step-by-Step Instructions

1. Clone the repository: Open your terminal and clone the repository. git-lfs will automatically handle downloading the large model file.
   bash

   1git clone https://huggingface.co/cloud19/NSFW_MMaudio 2cd NSFW_MMaudio
2. Set up a virtual environment (recommended):
   bash

   1python -m venv venv 2source venv/bin/activate 3# On Windows, use: venv\Scripts\activate
3. Install the required dependencies: The requirements.txt file contains all necessary packages.
   pip install -r requirements.txt
4. Run the Gradio application: This will launch a local web server.
   python app.py

• The model's output is heavily influenced by its training data.
• Content Warning: Due to the NSFW nature of the fine-tuning dataset, the model may generate explicit or mature audio content. User discretion is advised.
• Like all generative models, it may produce artifacts or unexpected results.

Original Model Citation

• Original GitHub: https://github.com/hkchengrex/MMAudio