Step1X-Edit is a practical general image editing framework that uses the image understanding ability of MLLMs to parse editing instructions, generate editing tokens, and decode them into images through the DiT network. Its importance lies in its ability to effectively meet the editing needs of real users and improve the convenience and flexibility of image editing.
Demand population:
"This product is suitable for designers, content creators and ordinary users who want to quickly edit image with simple instructions. Step1X-Edit can significantly improve work efficiency and lower the barriers to editing."
Example of usage scenarios:
Designers use Step1X-Edit to quickly adjust product pictures to improve publicity effects.
Social media content creators use simple instructions to edit images to enhance visual appeal.
Ordinary users use this model to make simple adjustments and beautify family photos.
Product Features:
Supports a variety of image editing instructions to adapt to different user needs.
Improve editing accuracy using advanced machine learning techniques.
Provides GEdit-Bench benchmarks to support evaluation in real scenarios.
Compatible with various image formats, improving usage flexibility.
Open source code, which facilitates developers to conduct secondary development and customization.
Tutorials for use:
Visit Step1X-Edit 's official website.
Download the model weights and inference code.
Set up editing instructions according to the provided technical reports.
Use the DiT network to decode the edit token.
Save the generated edited images, share or apply them to the desired occasion.