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Description
Meta's MusicGen is an open-source deep-learning model designed to create short musical compositions based on textual descriptions. Trained on 20,000 hours of music, encompassing complete tracks and single instrument samples, this model produces 12 seconds of audio in response to user prompts. Additionally, users can submit reference audio to extract a general melody, which the model will incorporate alongside the provided description. All generated samples utilize the melody model, ensuring consistency. Furthermore, users have the option to run the model on their own GPUs or utilize Google Colab by following the guidelines available in the repository. MusicGen features a single-stage transformer architecture combined with efficient token interleaving techniques, which streamline the process by eliminating the need for multiple cascading models. This innovative approach enables MusicGen to generate high-quality audio samples that are responsive to both textual inputs and musical characteristics, allowing users to exert greater control over the final output. The combination of these features positions MusicGen as a versatile tool for music creation and exploration.
Description
Seed-Music is an integrated framework that enables the generation and editing of high-quality music, allowing for the creation of both vocal and instrumental pieces from various multimodal inputs such as lyrics, style descriptions, sheet music, audio references, or vocal prompts. This innovative system also facilitates the post-production editing of existing tracks, permitting direct alterations to melodies, timbres, lyrics, or instruments. It employs a combination of autoregressive language modeling and diffusion techniques, organized into a three-stage pipeline: representation learning, which encodes raw audio into intermediate forms like audio tokens and symbolic music tokens; generation, which translates these diverse inputs into music representations; and rendering, which transforms these representations into high-fidelity audio outputs. Furthermore, Seed-Music's capabilities extend to lead-sheet to song conversion, singing synthesis, voice conversion, audio continuation, and style transfer, providing users with fine-grained control over musical structure and composition. This versatility makes it an invaluable tool for musicians and producers looking to explore new creative avenues.
API Access
Has API
API Access
Has API
Integrations
AI-FLOW
Amaro
Google Colab
VESSL AI
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
MusicGen
Website
huggingface.co/spaces/facebook/MusicGen
Vendor Details
Company Name
ByteDance
Founded
2012
Country
China
Website
seed.bytedance.com/en/seed-music