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Description

MiniMax Music 3.0 is an innovative API designed for generating music based on user-defined descriptions, lyrics, or audio references. Developers can utilize the prompt parameter to specify various aspects such as style, mood, instrumentation, vocal qualities, and overall production guidance, while the lyrics parameter provides the necessary vocal text. With the enhancement of its semantic model, the API now better comprehends creative intents and minimizes inconsistencies in AI-generated music outputs. The improved sound quality allows for clearer mixes and accommodates specific instruments and techniques, including slides and legato playing. A newly developed vocal engine offers more organic synthesis capabilities, allowing users to manipulate elements like melody, pronunciation, breathing, and harmonies in layers. Teams have the option to initially use the Lyrics Generation API to compose complete lyrics featuring sections like Verse, Chorus, and Bridge, after which they can pass these lyrics to the Music Generation API, or they may choose to bypass this step and directly generate a song with optimized lyrics. Additionally, Music 3.0 provides the flexibility for creating instrumental pieces without vocals. This versatility makes it a valuable tool for musicians and developers alike, catering to a wide range of creative needs in music production.

Description

We are excited to unveil Jukebox, a cutting-edge neural network designed to create music, including basic vocalization, in diverse genres and artistic expressions as raw audio. Alongside the release of the model weights and code, we are offering a tool to help users explore the music samples generated by Jukebox. By inputting genre, artist, and lyrics, users can receive entirely new music pieces crafted from the ground up. Jukebox is capable of producing a vast array of musical and vocal styles, and it can also generalize to lyrics that were not part of the training dataset. The lyrics included here have been collaboratively crafted by researchers at OpenAI and a language model. When provided with lyrics from its training set, Jukebox generates songs that diverge significantly from the originals, showcasing its creative capabilities. Users can input a 12-second audio clip for Jukebox to build upon, with the final output reflecting a desired style. Our focus on music stems from a desire to advance the potential of generative models further. Utilizing a quantization-based approach called VQ-VAE, Jukebox’s autoencoder model effectively compresses audio into a discrete latent space, enabling innovative sound generation. As we continue to refine these technologies, we look forward to the creative possibilities that lie ahead.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Microsoft Azure
MiniMax
OpenAI

Integrations

Microsoft Azure
MiniMax
OpenAI

Pricing Details

No price information available.
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

MiniMax

Founded

2022

Country

Singapore

Website

platform.minimax.io/docs/guides/music-generation

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

openai.com/blog/jukebox/

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