Skip to main content

Seedream 4.5

Seedream 4.5 is a next-generation production-ready AI image generation and editing model developed by ByteDance. It unifies text-to-image generation and advanced image editing into a single model architecture, emphasizing high fidelity, multi-image consistency, strong prompt adherence, enhanced typography support, and professional visual output. The model is designed for workflows that require both creative generation and controlled context-aware editing with scalable resolution and reliable output behavior.

Key Features

  • Text-to-Image Generation
    • Seedream 4.5 generates high-resolution images directly from natural language prompts. It shows strong understanding of scene composition, lighting, detail, and typography, making it suitable for creative assets, posters, branding, and professional visuals.
  • Image Editing & Context-Aware Transformations
    • The model supports image-to-image editing through natural language instructions. Users can describe desired changes, and Seedream 4.5 will transform the source imagery while preserving spatial context, details, lighting, and structural relationships
  • Multi-Reference Image Handling
    • Can ingest up to 10 reference images in editing workflows and uses them for complex multi-source composition tasks. It identifies and preserves key subjects across inputs to maintain scene continuity. 
  • Advanced Text Rendering
    • One of the often-highlighted strengths is precision text generation within images especially important for posters, UI designs, diagrams, and layouts where dense or multi-language typography must be clearly legible.

Technical Capabilities

  • Modalities: Text to Image, Image to Image
  • Native Outputs: 1K, 2K, 4K
  • Flexible Ratios: 1:1, 16:9, 9:16, 4:3, 3:4
  • Max input image: 10
  • Max output image: 6

Best Use Cases

Creative Asset Generation: Create original visuals for campaigns, editorial content, storyboards, posters, UI/UX mockups, and concept art with controlled prompt fidelity and professional visual quality.

Brand & Style Consistency: Use reference-based generation and multi-image editing to maintain visual consistency across campaigns, product variations, or character sheets.

Professional Editing Tasks: Apply natural language instructions to edit existing images while preserving lighting, pose, and detail integrity.

Poster & Typography-Heavy Design: Leverage advanced text rendering and layout understanding for dense-text compositions like posters, diagrams, infographics, or signage.

Strengths and Limitations

Strengths

  • Multi-Source Reference Support: Ability to include up to 10 images in editing contexts allows sophisticated composite workflows with stable subject continuity. 
  • High-Resolution Output: Supports large, high-fidelity 4K image generation suitable for professional production workflows where fine detail and clarity must be preserved at scale.

Limitations

  • Style Generalization Limits: The model excels at common visual styles but may require more guidance to accurately reproduce highly niche, experimental, or hybrid aesthetics.

Tips for Better Prompts 

  • Be Specific: Clearly describe subjects, environments, lighting, camera style/angles, and typography requirements.
  • Use References Intentionally: When including multiple references, describe each reference’s role and desired influence.
  • Typography Instructions: If text in the image matters, specify font style, relative size, and placement to improve clarity.

Need some more help? Head back to our Help Center.