Understand ACE++ in one article: Alibaba Tongyi’s open source image generation and editing model

ACE++'s product logic revolves around AI images and design. Alibaba Tongyi's open source image generation and editing model is good at portraits, theme consistency and partial editing. The functional modules and adaptation scenarios are disassembled according to the official documents below.

Typical usage

Combined with official documents, ACE++ has several types of high-frequency usage in AI image and design scenarios:

• Virtual Try-On: Put clothes or accessories on different characters to maintain consistency.
• Brand logo pasting: Put the logo into products, posters or scenes, suitable for marketing materials.
• Photo Editing: Replace backgrounds, add and delete elements, and adjust styles, suitable for creative photo editing.
• Movie Poster Editing: Keep the character structure unchanged while fine-tuning the visual style and composition.
• Partial Repair: Repair scratches, stains or missing areas, suitable for repairing old photos and materials.

The supporting capacity behind

• Portrait Generation: Suitable for the task of keeping facial features, hairstyle and style consistent.
• Subject subject consistency: Stably put the same subject into different scenes, suitable for brand materials and product images.
• LocalEditing: Only change the specified area of ​​the image, retaining the overall composition and structure.
• Context-aware content filling: When filling in missing areas, try to fit the surrounding semantics and textures as much as possible.
• Multi-reference image support: More suitable for complex editing, try-on and poster tasks.
• Fully route preview: The official has announced a more general command-based editing direction.

Evaluation Perspective: Compare ACE++ with your existing solution and focus on whether it truly reduces switching and duplication of effort. This is usually more important than a single point of functionality.