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What is SeedEdit?

SeedEdit represents a state-of-the-art AI image-editing model developed by the Seed team at ByteDance, enabling users to alter existing images using natural-language instructions while preserving untouched areas. By supplying an input image along with a detailed request for modifications—such as changing styles, eliminating or substituting objects, altering backgrounds, modifying lighting, or updating text—the model produces a final image that integrates these edits smoothly while maintaining the original’s structure, resolution, and identity. Employing a diffusion-based framework, SeedEdit is trained via a meta-information embedding pipeline and a combined loss strategy that blends diffusion and reward losses, striking a careful balance between reconstructing images and regenerating them. This meticulous approach results in exceptional editing precision, detail retention, and adherence to user requests. The most recent version, SeedEdit 3.0, can execute high-resolution edits up to 4K, delivers quick inference times (generally within 10-15 seconds), and supports multiple rounds of sequential editing, making it an essential resource for both creative professionals and hobbyists. Furthermore, its groundbreaking features empower users to realize their artistic ideas with an unprecedented level of ease and adaptability, thereby transforming the landscape of digital image editing.

What is ByteDance Seed?

Seed Diffusion Preview represents a cutting-edge language model tailored for code generation that utilizes discrete-state diffusion, enabling it to generate code in a non-linear fashion, which significantly accelerates inference times without sacrificing quality. This pioneering methodology follows a two-phase training procedure that consists of mask-based corruption coupled with edit-based enhancement, allowing a typical dense Transformer to strike an optimal balance between efficiency and accuracy while steering clear of shortcuts such as carry-over unmasking, thereby ensuring rigorous density estimation. Remarkably, the model achieves an impressive inference rate of 2,146 tokens per second on H20 GPUs, outperforming existing diffusion benchmarks while either matching or exceeding accuracy on recognized code evaluation metrics, including various editing tasks. This exceptional performance not only establishes a new standard for the trade-off between speed and quality in code generation but also highlights the practical effectiveness of discrete diffusion techniques in real-world coding environments. Furthermore, its achievements pave the way for improved productivity in coding tasks across diverse platforms, potentially transforming how developers approach code generation and refinement.

Media

Media

Integrations Supported

C++
Flyne AI
Fuser
GPT-4o
Galaxy.ai
Gemini
Go
Java
Python
TESS AI
WaveSpeedAI
graphis

Integrations Supported

C++
Flyne AI
Fuser
GPT-4o
Galaxy.ai
Gemini
Go
Java
Python
TESS AI
WaveSpeedAI
graphis

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
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/seededit

Company Facts

Organization Name

ByteDance

Date Founded

2012

Company Location

China

Company Website

seed.bytedance.com/en/seed_diffusion

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