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MusicLDM

by University of California San Diego, Mila-Quebec AI Institute, University of Surre and LAION

Music generation model
Audio
Full
https://github.com/RetroCirce/MusicLDM
musicldm
mudicldm
(undefined)
(Not available)
August 2023
Availability
Base Model Data
MusicLDM is trained on the Audiostock dataset, which contains 9000 music tracks for training and 1000 tracks for testing. Dataset is not directly provided, no information about the original sources accessibility or requirements is provided.
End User Model Data
MusicLDM is trained on the Audiostock dataset, which contains 9000 music tracks for training and 1000 tracks for testing. Dataset is not directly provided, no information about the original sources accessibility or requirements is provided.
Base Model Weights
https://drive.google.com/drive/folders/15VDVcIgf99YRM5oGXhRxa_Rowl54uWho
End User Model Weights
https://drive.google.com/drive/folders/15VDVcIgf99YRM5oGXhRxa_Rowl54uWho
Training Code
https://github.com/RetroCirce/MusicLDM
Documentation
Code Documentation
https://github.com/RetroCirce/MusicLDM/blob/main/README.md
Hardware Architecture
Training procedure and architecture is documented in the preprint and in the appendix additional page for the peer-reviewed version (https://musicldm.github.io/appendix/).
https://arxiv.org/pdf/2308.01546
Preprint
https://arxiv.org/pdf/2308.01546
Paper
Accepted at ICASSP 2024
https://ieeexplore.ieee.org/document/10447265
Modelcard
https://huggingface.co/ucsd-reach/musicldm
Datasheet
Content is limited to data sources origin and details on how to reproduce the data collection. Details on curation and other considerations, such as consent, limitations and selection strategies are missing.
https://github.com/LAION-AI/audio-dataset/blob/main/data_card/Audiostock.md
Access
Licenses
Attribution-NonCommercial-ShareAlike 4.0 International
https://github.com/RetroCirce/MusicLDM/blob/main/LICENSE
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