Wan 2.7 Image Core Features

Image Generation from Text and References

Transforms text prompts or reference images into high-quality visuals, offering precise control over style, subject, and composition for diverse creative needs.

Advanced Face Control

Enables detailed manipulation of facial features, structure, and skin detail, producing realistic and campaign-ready portraits with minimal generic AI characteristics.

Hex-Based Palette Transfer

Matches colors from reference images or brand palettes to ensure visual consistency and brand-safe outputs across multiple generated images.

Readable Long Text Rendering

Generates clear and legible text in dense layouts, including labels, charts, formulas, and captions, ideal for document-style and presentation-ready images.

Multi-Reference and Batch Output

Supports up to nine reference images and batch generation of up to twelve images, maintaining consistency across product sets, comics, or campaign assets.

Interactive Local Editing

Allows users to select and modify specific areas of an image without regenerating the entire composition, streamlining revisions and enhancing workflow efficiency.

• Marketing Teams: Create consistent brand imagery with Wan 2.7 Image's palette matching and batch output features for cohesive campaign visuals.
• Product Photographers: Generate lifestyle product images using Wan 2.7 Image's reference-based editing and local adjustments for efficient photo shoots.
• Comic Artists: Maintain character consistency across comic frames with Wan 2.7 Image's multiple reference inputs and batch generation capabilities.
• Designers: Produce print-ready layouts with readable text using Wan 2.7 Image's long text rendering and document-style image generation.
• E-commerce Managers: Streamline product image creation with Wan 2.7 Image's batch output and consistent styling across multiple product scenes.