Seedream 5.0 lite is a proprietary image generation model from ByteDance. Compared to earlier Seedream versions, it extends beyond standard text-to-image generation by integrating multi-step logical reasoning, example-based editing, and deep domain knowledge into the creation workflow. These upgrades enable more accurate transformations, stronger structural correctness, and more reliable results in professional and technical scenarios. The model introduces example-based editing: instead of describing a complex change in words, users can provide a before/after reference pair and then a new image, and the model infers the edit and applies the same transformation for tasks like material swaps, style transfers, and scene modifications. Seedream 5.0 lite also improves logical reasoning over spatial relationships, physics, and sequential processes, helping it place objects correctly, depict mechanisms faithfully, and illustrate multi-stage transformations with consistent details. In addition, its deep domain knowledge supports convention-aware outputs in fields such as architecture, science, health, and design, enabling workflows like turning rough floor plan sketches into photorealistic interior renders or producing labeled, accurate scientific diagrams.
$0.0175
Share of requests served without a server error. Client errors (4xx) do not count.
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the API reference.
Images generated per day on NagaAI, counted since November 2026.
Seedream 5.0 lite is a proprietary image generation model from ByteDance. Compared to earlier Seedream versions, it extends beyond standard text-to-image generation by integrating multi-step logical reasoning, example-based editing, and deep domain knowledge into the creation workflow.
On NagaAI, Seedream 5 Lite costs about $0.0175 per image. You pay only for what you use, with no subscription.
It takes text and images as input and returns images.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI SDK pointed at NagaAI. The API section on this page has a ready example.