Seedream 5.0 Lite: Image-to-Image artwork: a butterfly wing transitioning from cobalt contours into a finished pattern.

Seedream 5.0 Lite: Image-to-Image

ByteDanceimagelive~47s

Transform images intelligently with detailed text prompts.

avg$0.035/ run

An estimate, trued up after the run. Failed runs cost $0.00.

How this model is billed

Quoted before you run. A failed run costs $0.00.

Typical run ~47s: the measured mean, end to end.

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Run Seedream 5.0 Lite: Image-to-Image

About this model

## Overview Seedream 5.0 Lite Image-to-Image, from ByteDance, transforms images intelligently from detailed text prompts. Supply up to 10 input images as references and describe the result you want: a restyle, a variation, a new setting, or a composition that combines several sources. ## What it does well - **Reference-driven generation.** Up to 10 input images guide the result. - **Detailed transformations.** Describe the change in the prompt and the model applies it to your input. - **Two resolutions.** 2K for moderate detail and 3K, the default, for fine detail. - **Eight aspect ratios,** from square to 21:9 and 9:16. - **Prompt optimisation.** Fast mode for quicker results, standard for more detailed transformation. - **A watermark toggle,** off by default. ## Prompting tips Say what should change and what should stay: "keep the composition and turn the photo into a warm watercolour illustration". When you pass several images, explain what each contributes. Use fast optimisation to explore, and standard when you want the most detailed transformation. ## Limits to know The output follows the aspect ratio you choose, and the 2K or 3K setting sets how much detail it carries, so pick the ratio of the place the image will be used. This model is billed on the real cost of each run, and the price is quoted on the Run button before you spend. For generating from text alone, use the Seedream 5.0 Lite text-to-image model. ## FAQ ### How many input images can I use? Up to 10. ### What is the difference between fast and standard optimisation? Fast returns results more quickly; standard works harder on detailed transformations.