SeedEdit 3.0

SeedEdit is an advanced AI image-editing model developed by the ByteDance Seed team that enables users to revise an existing image using natural-language text prompts while preserving unedited regions with high fidelity. It accepts an input image plus a text description of the change (such as style conversion, object removal or replacement, background swap, lighting shift, or text change), and produces a seamlessly edited result that maintains structural integrity, resolution, and identity of the original content. The model leverages a diffusion-based architecture trained via a meta-information embedding pipeline and joint loss (combining diffusion and reward losses) to balance image reconstruction and re-generation, resulting in strong editing controllability, detail retention, and prompt adherence. The latest version (SeedEdit 3.0) supports high-resolution edits (up to 4 K), delivers fast inference (under ~10-15 seconds in many cases), and handles multi-round sequential edits.

Seed2.0 Mini is the smallest member of ByteDance’s Seed2.0 series of general-purpose multimodal agent models, designed for high-throughput inference and dense deployment while retaining the core strengths of its larger siblings in multimodal understanding and instruction following. Part of a family that also includes Pro and Lite, the Mini variant is optimized for high-concurrency and batch generation workloads, making it suitable for applications where efficient processing of many requests at scale matters as much as capability. Like other Seed2.0 models, it benefits from systematic enhancements in visual reasoning, motion perception, structured extraction from complex inputs like text and images, and reliable execution of multi-step instructions, but it trades some raw reasoning and output quality for faster, more cost-effective inference and better deployment efficiency.