On the 11th of this month, ByteDance launched SeedEdit, a large-scale diffusion model-based image editing tool that can modify images according to any text prompt.
Official results
Method
The core challenge in image editing lies in the scarcity of paired image data. To address this issue, SeedEdit treats text-to-image (T2I) models as weak editing models, which "edit" by generating entirely new images based on new prompts. On this basis, we refine and align it into an image-conditional editing model. SeedEdit proposes an efficient editing data generation and filtering strategy that can gradually adjust any T2I model into a powerful image editor. Additionally, SeedEdit designs a new editing architecture capable of accurately interpreting editing instructions and generating images. Based on the Seed T2I foundation model, SeedEdit achieves stable and highly aesthetic image editing effects. It supports executing unlimited editing instructions without compromising image quality, providing users with a high-quality editing experience.
Architecture
SeedEdit introduces the Causal Diffusion Model for image-to-image generation. The model adopts a dual-branch structure to process the input image and the output image/text separately. These two branches share parameters, enabling efficient collaborative optimization and generation.
Comparison
Trial
Trial link🔗: https://huggingface.co/spaces/ByteDance/SeedEdit-APP
I haven't been able to use it yet; there are 445 people ahead of me in line, and the network always disconnects during the wait. Moreover, copying the space isn't fully supported because it requires an APP_KEY and SECRET_KEY. So I can only imagine the effect in my mind.
