SeedEdit - An AI image editing model developed by the ByteDance Doubao team.

What is SeedEdit?

SeedEdit is a general-purpose image editing model developed by ByteDance's Doubao Big Model Team. It edits images based on simple natural language commands, including retouching, clothing replacement, enhancement, style transfer, and adding or deleting elements in specified areas. SeedEdit's core advantage lies in finding the optimal balance between maintaining the original image and generating a new one, achieving precise and high-quality editing results. As the first productized general-purpose image editing model in China, SeedEdit has achieved breakthroughs in versatility, controllability, and high-quality editing, supporting zero-shot learning and multi-round editing operations, greatly simplifying the image editing process.

SeedEdit's main functions

• Text-driven image editingUsers can use SeedEdit to edit images based on simple text prompts, such as changing the background, changing the style, and partial replacement.
• Diverse editing capabilitiesIt supports various types of image editing, including local replacement, geometric transformation, relighting, style changes, etc.
• Zero-shot learningSeedEdit provides stable image editing based on text prompts without the need for additional samples.
• Multi-round editing supportIt supports users in making continuous creative edits to the same image, enabling complex editing workflows.
• High-quality image outputMaintain high resolution and aesthetic quality during the editing process to ensure that the edited image is natural and artistic.
• Universality and controllabilitySeedEdit achieves a new breakthrough in the versatility and controllability of image editing, accurately responding to ambiguous editing commands.

SeedEdit's technical principles

• Balanced Reconstruction and RegenerationSeedEdit's core principle is to find the optimal balance between preserving the original image (image reconstruction) and generating a new image (image regeneration).
• Text-to-Image (T2I) ModelThe T2I model is considered a weak editing model, which is based on generating new images for editing, and gradually aligned to become a strong editing model.
• Data generation and filtering strategiesThis paper proposes effective editing data generation and filtering strategies to gradually align the T2I model to a powerful image editor.
• Causal diffusion modelA causal diffusion model is introduced for image-to-image generation, with two branches sharing parameters applied to the input and output images/text, respectively.
• Iterative AlignmentBased on iterative data sampling and model optimization, the model is gradually aligned to improve the accuracy of editing and the consistency of images.
• Explanation of precise editing commandsDesign a new editing architecture to accurately interpret editing instructions and generate images, thereby improving the controllability and accuracy of editing.

SeedEdit project address

• Project official website:team.doubao.com/en/special/seededit
• Technical Papers:https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/SeedEdit.pdf
• Experience the demo online:https://huggingface.co/spaces/ByteDance/SeedEdit-APP

Application scenarios of SeedEdit

• Social media content creationUsers can quickly edit their personal photos or images for sharing on social media, such as changing backgrounds and adjusting styles.
• Advertising and MarketingAdvertising designers can quickly adjust advertising images to adapt to different marketing campaigns, such as changing product colors or scenarios.
• e-commerceE-commerce platforms provide tools that allow sellers and buyers to edit product images, such as changing clothing colors and simulating different lighting effects.
• Artistic CreationArtists and designers realize their creative ideas, transform their styles, or create unique works of art.
• News mediaReporters and editors can quickly adjust news photos to better suit the content or layout of their reports.