> ## Documentation Index > Fetch the complete documentation index at: https://docs.krea.ai/llms.txt > Use this file to discover all available pages before exploring further. # Seedream 5 Lite > Seedream 5 Lite provides a lightweight entry point for quick image generation with balanced quality, speed, and straightforward setup guidance. ## Overview Seedream 5 Lite is ByteDance's latest image generation model, released in February 2026. It's built on a unified multimodal architecture and represents a meaningful shift in how AI image models work: rather than passively converting text into pixels, it **reasons through your prompt before generating, using a Chain of Thought mechanism** to interpret complex instructions, understand spatial relationships, and apply real-world knowledge to the output. The result is a model that handles the kind of prompts that trip up most generators: multi-element compositions, precise layouts, infographics, posters with embedded text, and anything that requires logical consistency between objects in a scene. Its **typography capabilities** are among the strongest available, and it's the first model in the Seedream family to include **real-time web search**, meaning it can pull in current information when generating trend-based or time-sensitive visuals. ## Getting Started 1. **Go to Image Generation** — Navigate to [krea.ai/image](https://krea.ai/image) and select this model from the dropdown. 2. **Select Seedream 5 Lite** — Open the model picker and choose Seedream 5 Lite from the Intelligent Models section. 3. **Write a detailed prompt** — This model is built for complex instructions. Be specific about layout, composition, text placement, subject relationships, and style. 4. **Add a reference image (optional)** — Upload a single reference image to guide style, composition, or subject identity. 5. **Choose your aspect ratio** — Select the format that fits your use case before generating. 6. **Generate** — Click Generate. The model's reasoning step means it takes slightly longer than fast models, but handles layered prompts more accurately. 7. **Iterate** — Refine with follow-up instructions. **Seedream 5 Lite responds well to specific, targeted edit requests.** ## At a Glance | Feature | Detail | | --------------------------- | ------------------------------------------------------- | | **Speed** | Medium (2/3) | | **Credits** | \~30 per generation | | **Developed by** | ByteDance | | **Resolution** | Up to 4K | | **Style images** | Up to 14 | | **Reasoning** | Yes — Chain of Thought multi-step inference | | **Web search** | Yes — real-time retrieval for current information | | **Typography** | Strong — multi-language, multi-line, dense text layouts | | **Reference image support** | Yes — single image for style or identity guidance | ## Overview Seedream 5 Lite's most significant upgrade over its predecessors isn't resolution or speed; it's intelligence. The model uses Chain of Thought reasoning to work through your prompt in multiple steps before generating, which means it handles nuanced, layered instructions with far greater accuracy than a standard text-to-image pipeline. Where other models might approximate what you asked for, Seedream 5 Lite is more likely to deliver it precisely. Its real-time web search capability is genuinely useful for content that needs to reflect current information. Ask it to generate a poster referencing a recent event, a trend chart, or a topical visual, and it can pull in up-to-date context rather than relying solely on its training data. Typography is another standout. It handles multi-line layouts, dense body copy, product labels, and brand logos with high accuracy across both English and Chinese, making it one of the more practical choices for design-oriented work where text is a core part of the visual. ## When to Use Seedream 5 Lite | Use When | Avoid When | | ----------------------------------------------------------------------------------- | --------------------------------------------------------- | | Your prompt involves complex spatial relationships or multiple interacting elements | You need a fast, cheap draft and simplicity is fine | | You need accurate, legible text rendered within the image | You want a heavily artistic or loosely interpreted output | | You're generating posters, infographics, or design layouts | You need LoRA style support | | Your visual needs to reference current events or real-time information | You're iterating quickly through many rough concepts | | You need consistent subject identity across multiple outputs | | ## Common Use Cases * **Marketing and advertising**: Event posters, promotional banners, and campaign visuals with embedded headlines and body copy * **Infographics**: Data visualizations, process diagrams, and educational charts with accurate labels * **E-commerce**: Product hero shots, lifestyle imagery, and catalog photos with professional composition * **Brand design**: Logos, packaging mockups, and brand collateral with precise typography * **Topical content**: News posters, trend visuals, and time-sensitive graphics using real-time web search ## Prompting Tips | Tip | Example | | ----------------------------------------------------------- | -------------------------------------------------------------------------------------- | | Describe layout hierarchy explicitly for text-heavy designs | "Title at the top in bold, subheading below, body copy in two columns, image centered" | | Specify text content in quotes | "A poster with the headline 'Summer Collection 2026'" | | Use the model's reasoning for spatial logic | "Three objects on a seesaw balanced by weight" — it will get the physics right | | Reference current events or trends by name | The web search capability means it can incorporate live context | | Be specific about professional context | "Design a logo for a gaming company" outperforms a generic visual description | | Use a reference image for style consistency | Upload one image to anchor the visual identity across multiple generations | # Examples `A row of 16 spheres in a grid format, 4 spheres to a row. Uniform studio lighting, rendered with roughness gradually increasing from left to right, the leftmost sphere mirror-polished chrome, the last completely matte unfinished concrete, accurate material and lighting physics throughout, pastel white background studio box lighiting.` A Row Of 16 Spheres In A Grid Format 4 Spheres To A Row Uniform Studio Lighting Rendered With Rough Nawxx3l0g475re9blyp9 1