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Seedream 5.0 Lite

Responsive text-to-image generation with real-time search and precise prompt adherence

Seedream 5.0 Lite

Seedream 5.0 Lite is an advanced image generation model from ByteDance that produces high-quality still images from text prompts while providing flexibility for editing workflows. It is designed to combine expressive creativity with precise control over layout, composition, styles, and details, interpreting nuanced instructions faithfully. Users can incorporate a single reference image to guide generation or editing. Integrated search and reasoning features let the model visualize real-time trends and domain information in the output.

ByteDance
Commercial use
Text to ImageImage to Image
Pricing is $0.035 for both 2K & 4K outputs.
2K & 4K$0.035

README

Overview

Seedream 5.0 Lite is an image generation model designed for controlled outputs and repeatable results.

It converts text prompts into detailed still images while preserving composition and structure across iterations. With support for T2I and I2I workflows, you can generate from scratch or refine an existing image using a reference. The model prioritizes layout integrity, prompt alignment, and dependable typography rendering.

How it Works

Prompt Interpretation

The model analyzes prompts to extract subject identity, layout intent, composition rules, stylistic direction, lighting, and embedded text instructions. It is optimized to handle layered or abstract prompts while maintaining visual clarity and structural consistency.

Text-to-Image

Seedream 5.0 Lite generates high-resolution still images directly from text prompts. It supports detailed scene construction, precise object placement, and strong typographic rendering for poster, UI, and branding use cases.

Image-to-Image

A single reference image can be provided to guide generation or refinement. The model preserves core structure and identity while applying stylistic changes, relighting, recoloring, or compositional adjustments.

Reference-Guided Generation

When a reference image is used, Seedream 5.0 Lite maintains alignment with the original composition and subject identity while following new prompt instructions. This enables controlled edits and iterative workflows without unintended drift.

Web-Enabled Reasoning

Integrated search and reasoning capabilities allow the model to incorporate current domain context into generation. Prompts referencing recent events or trends can be reflected in supported environments.

High-Fidelity Image Output

Seedream 5.0 Lite produces high-detail still images, with support for 2K and 4K resolution outputs. The model emphasizes clarity, structural stability, and consistency across repeated generations.

Key Features

  • Text-to-Image and Image-to-Image
    Unified workflows for both generation and editing.
  • High-Resolution Outputs
    Supports outputs up to 4K resolution.
  • Advanced Prompt Understanding
    Handles layered, abstract, and structured instructions reliably.
  • Strong In-Image Text Rendering
    Designed for readable typography within compositions.
  • Single Reference Image Support
    Guide layout, identity, or style with one input image.
  • Batch Consistency
    Maintains subject and layout stability across multiple runs.
  • Web-Enabled Context Awareness
    Can incorporate real-time information in supported builds.

How to Use

  1. Write a detailed prompt describing subjects, composition, style, and any embedded text.
  2. (Optional) Provide a single reference image for image-to-image refinement.
  3. Select desired resolution.
  4. Submit the request and retrieve the generated image.

Example prompt:
A modern editorial fashion portrait of a woman wearing a cobalt blue structured blazer, neutral studio backdrop, dramatic side lighting, high-detail photography, clean readable headline text at the top reading “AUTUMN EDITION”.

Tips for Better Results

  • Be explicit about layout and text placement when generating posters or UI concepts.
  • Specify lighting direction and material properties for stronger realism.
  • Use a reference image when consistency across iterations is required.
  • Make incremental prompt adjustments for controlled refinements.

Documentation