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Wan2.7-Image - Alibaba Tongyi's AI Image Generation and Editing Model

Author: AI小集 · Original source: AI工具集

What is Wan2.7-Image

Wan2.7-Image is an AI image generation and editing model launched by the Tongyi Lab. It supports deep customization of character appearance (face shape, eye shape, bone structure, etc.), bidding farewell to cookie-cutter "AI standard faces." It can accurately generate content of over 4,000 characters and in multiple languages including Simplified and Traditional Chinese, English, Japanese, Korean, German, and French, saying goodbye to garbled text. The model can precisely control brand colors through Hex color values, ensuring compliance with VI specifications. Wan2.7-Image is suitable for scenarios such as short drama creation and brand design, and is now available on platforms includingAI image generationand editing model, supports deep customization of character appearance (face shape, eye shape, bone structure, etc.), bidding farewell to cookie-cutter "AI standard faces." It can accurately generate content of over 4,000 characters and in multiple languages including Simplified and Traditional Chinese, English, Japanese, Korean, German, and French, saying goodbye to garbled text. The model can precisely control brand colors through Hex color values, ensuring compliance with VI specifications. Wan2.7-Image is suitable for scenarios such as short drama creation and brand design, and is now available onTongyi Wanxiangand other platforms.

Wan2.7-Image

Main Features of Wan2.7-Image

  • Character Customization: Wan2.7-Image supports deep customization of details such as face shape, eye shape, bone structure, and skin texture, and can generate personalized virtual images with high recognizability and natural texture.
  • Text Generation: The model supports accurate rendering of ultra-long text up to 4,000 characters, covering multiple languages including Simplified and Traditional Chinese, English, Japanese, Korean, German, and French, and can stably output tables, mathematical formulas, and multilingual mixed content.
  • Color Control: Wan2.7-Image innovatively launches the "Color Control Palette" feature, which supports directly inputting Hex color values or uploading reference images to analyze color palettes, and can precisely set brand primary colors, secondary colors, and their proportions, ensuring that generated materials strictly comply with VI specifications.
  • Multi-Image Reference Generation：Supports up to 9 images as references, maintaining super strong consistency among multiple subjects.
  • Interactive Editing: Supports selecting local areas with a box for precise modification, achieving pixel-level alignment between intent and AI.

How to Use Wan2.7-Image

  • Ordinary Users: Directly visit theTongyi Wanxiangofficial website and enter descriptions through the web interface to generate images.
  • Developers: Access the API through theAlibaba Cloud Model Studioplatform to integrate Wan2.7-Image into your own applications.

Key Information and Usage Requirements of Wan2.7-Image

  • Product Positioning: An AI image generation model launched by the Tongyi Lab, focusing on "more realistic people, more stable text, more accurate colors."
  • Supported Languages: Multiple languages including Simplified and Traditional Chinese, English, Japanese, Korean, German, French, Spanish, and Italian.
  • Input Specifications: Supports natural language descriptions; for complex requirements, it is recommended to specify parameters such as facial features, color Hex values, and text content in detail.

Core Advantages of Wan2.7-Image

  • Breakthrough in Character Realism: Rejects cookie-cutter "AI standard faces," supports deep customization of face shape, eye shape, bone structure, and skin texture, and generates virtual images with unique recognizability and natural texture, meeting the high requirements for character consistency in short dramas, brand IPs, and more.
  • Text Rendering Accuracy: Industry-leading generation capability for ultra-long text of over 4,000 characters, supports mixed typesetting in multiple languages including Chinese, English, Japanese, Korean, German, and French, and can stably output tables, mathematical formulas, and dense layouts, completely solving the pain point of "Martian text" garbled characters in AI image generation.
  • Color Control Precision: Innovative "Color Control Palette" feature, supports directly inputting Hex color values (such as #2C3E50) to define brand VI specifications, can set the proportions of primary and secondary colors, ensuring that generated materials are completely consistent with brand colors, saying goodbye to color differences.
  • Multi-Image Reference Consistency: Supports up to 9 images as style/character references, achieving strong consistency across multiple subjects and scenes, suitable for serialized content creation.

Comparison of Wan2.7-Image with Similar Competitors

Comparison Dimension Wan2.7-Image Midjourney Jimeng AI
Text Rendering Supports 4000+ characters, mixed typesetting in 13 languages, stable output of formulas/tables Text often appears garbled/corrupted, requires post-processing Supports Chinese text, but stability for extra-long text is limited
Color Control Supports precise Hex color value input, can define brand VI specifications Relies on natural language descriptions, color accuracy is hit-or-miss Supports color picking from reference images, but no quantitative Hex input
Character Consistency Can specify face shape/eye shape/facial bone structure, 9-image reference maintains consistency across multiple subjects Requires multiple generation attempts, consistency depends on Seed values or external plugins Supports character reference, but depth of facial detail customization is insufficient
Interactive Editing Supports box-selection for precise local modifications, pixel-level alignment Does not support local editing, requires regenerating the entire image Supports smart canvas and local repainting
Core Advantages Deep integration of image-text precision + brand color accuracy + character consistency Top-tier artistic aesthetics and lighting quality, diverse styles Strong Chinese semantic understanding, outstanding video generation capability
Applicable Scenarios Brand materials, educational publishing, AI short dramas, e-commerce design Artistic creation, concept design, illustration Short videos, social media content, rapid ideation

Application Scenarios of Wan2.7-Image

  • AI Short Dramas and Virtual Idol Creation: Wan2.7-Image can be used to produce AI short dramas and virtual idols. Through deep customization of facial features and multi-image references to maintain character consistency, it generates exclusive virtual actor images with high recognizability that remain stable across multiple episodes.
  • Brand VI and Marketing Material Design: The model is suitable for brand visual identity system design. It supports direct input of Hex color values to precisely lock in brand standard colors, ensuring that the color schemes of marketing materials such as posters and packaging fully match corporate VI specifications, completely eliminating color discrepancy issues.
  • Educational Publishing and Knowledge Visualization: In the education field, it can stably render textbook illustrations or academic posters containing 4000 characters, mathematical formulas, and mixed typesetting in 13 languages, achieving image-text layout effects as clear and precise as printed materials.
  • Film Storyboards and Advertising Storyboards: For pre-production in film and television, the group image generation function can produce continuous storyboard frames with coherent logic and unified style, helping directors quickly visualize multi-angle shots of the same scene or continuous action sequences of characters.