Datasets:

Modalities:
Audio
Image
Tags:
music
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Datasets
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MUImage Dataset

This is the MUImage dataset used to facilitate image to music generation, consisting of 9,966 music files with a total playtime of 27.72 hours generated using the MU-LLaMA and BLIP Image Captioning models. This dataset is used to train the M2UGen model.

The MUImageInstructions.json file contains a list with each of the element having the following format:

{
  "input_file": "1OeqDC6vmto.jpg",
  "output_file": "1OeqDC6vmto.mp3",
  "conversation": [
    {
      "from": "human",
      "value": "Generate a music for the image that is ethereal and spacey, with a focus on the synthesizers and bass, and a hint of a pulsing beat.",
      "input_modality": "image",
      "caption": "the image shows a bright star in the center of a galaxy"
    },
    {
      "from": "gpt",
      "value": "Here is a music that is space-themed and could fit well with the image of a bright star in the center of a galaxy.",
      "caption": "The music is a blend of electronic and acoustic instruments, with a focus on the synthesizers and bass.",
      "output_modality": "audio"
    }
  ]
}
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Models trained or fine-tuned on M2UGen/MUImage