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What is Seed-Music?

Seed-Music is a comprehensive platform designed for the creation and modification of high-quality musical compositions, enabling users to produce both vocal and instrumental works from a variety of multimodal inputs, including lyrics, stylistic descriptions, sheet music, audio samples, or even vocal suggestions. This cutting-edge framework also supports the post-production editing of pre-existing tracks, allowing users to make direct modifications to melodies, instrumentations, timbres, or lyrics. It utilizes a combination of autoregressive language modeling and diffusion processes, structured into a three-phase pipeline: the first phase is representation learning, which encodes raw audio into intermediate formats such as audio tokens and symbolic music tokens; the second phase is generation, which converts these varied inputs into musical representations; and the final phase is rendering, which changes these representations into high-fidelity sound outputs. Additionally, Seed-Music's features encompass the transformation of lead sheets into complete songs, synthesis of singing voices, voice modulation, audio continuation, and style adaptation, offering users detailed control over the musical elements and composition. This extensive versatility positions it as an essential tool for musicians and music producers eager to delve into new realms of creativity and innovation. Ultimately, Seed-Music not only enhances the creative process but also broadens the possibilities for musical expression in the digital age.

What is DreamActor-M1?

DreamActor-M1 is an advanced diffusion transformer system designed to create realistic human animations from a single image input. This groundbreaking framework facilitates detailed adjustments in both facial and body movements, showcasing its adaptability for a range of animation styles from intimate close-ups to detailed full-body sequences. It stands out for its ability to maintain temporal consistency across longer video clips, ensuring smooth transitions even in sections that aren't visible in the original images. By utilizing a hybrid motion guidance approach that combines implicit facial models, 3D head spheres, and skeletal frameworks, it provides users with sophisticated control over the nuances of animation. Furthermore, it incorporates complementary appearance guidance, leveraging multi-frame references to guarantee consistency in parts that are not directly observable. The training process is organized into three progressive stages, starting with a focus on body skeletons and head spheres, followed by the integration of facial models, and culminating in the optimization of all components for superior output. This careful and thorough training methodology significantly enhances the visual fidelity and realism of the animations produced. Ultimately, DreamActor-M1 represents a monumental leap forward in animation technology.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ByteDance

Date Founded

2012

Company Location

China

Company Website

seed.bytedance.com/en/seed-music

Company Facts

Organization Name

ByteDance

Date Founded

2012

Company Location

China

Company Website

dreamactor.org

Categories and Features

Categories and Features

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