Tutorial
Seedream Prompt Guide 2026: Best Practices for 4.0, 4.5, and 5.0 Lite
EvoLink Team
Product Team
April 13, 2026
12 min read
If you are using Seedream API for image generation or editing, the quality of your output depends heavily on how you write your prompts. This guide covers practical prompt patterns that work across Seedream 4.0, 4.5, and 5.0 Lite, plus version-specific tips.
This is not a generic "prompt engineering" article. Every recommendation here is based on Seedream's documented API behavior and what actually works in production workflows.
TL;DR
- Be specific about subject, style, and composition — Seedream responds well to structured prompts
- Use reference images to control identity and consistency, not just text descriptions
- For text rendering (4.5 and above): put the exact text in quotes within your prompt
- For complex compositions (5.0 Lite): describe the logical relationships, not just visual elements
- Batch generation (
nparameter) is for exploring variations, not for "hoping one turns out right"
Universal prompt structure
A good Seedream prompt follows a consistent structure regardless of version:
[Subject] + [Action/Pose] + [Setting/Background] + [Style] + [Technical specs]
Example:
A woman in a navy blazer holding a coffee cup, standing in a modern office lobby
with floor-to-ceiling windows, natural lighting, editorial photography style,
sharp focus, 4K resolution
What to include
| Element | Why it matters | Example |
|---|---|---|
| Subject | The model needs a clear focal point | "A golden retriever puppy" |
| Action or pose | Without this, subjects default to static poses | "running through a field" |
| Setting | Context improves composition quality | "on a white sand beach at sunset" |
| Style | Controls visual tone and rendering approach | "cinematic photography, shallow depth of field" |
| Technical specs | Guides output quality | "4K, sharp focus, studio lighting" |
What to avoid
- Vague prompts: "a nice picture of a dog" — too generic, results will be unpredictable
- Contradictory instructions: "minimalist design with lots of decorative elements"
- Negative prompts only: Seedream works best with positive descriptions of what you want
- Extremely long prompts: Longer is not better. Focus on the 3-5 most important elements
Reference images: when and how to use them
All Seedream versions support reference images via the
image_urls parameter. This is the most powerful control mechanism for consistent output.When to use reference images
- Brand consistency: Upload your brand assets (logos, color palette, product photos) to keep outputs on-brand
- Character consistency: Maintain the same character across multiple generated images
- Style transfer: Show the model an example of the visual style you want
- Product editing: Upload the product photo and describe the changes you want
Reference image tips
- Quality in, quality out — Use high-resolution, well-lit reference images
- Match the intent — If you want style transfer, show style examples; if you want identity preservation, show the subject clearly
- Don't overload — Start with 1-3 references and add more only if consistency improves. Seedream 4.0/4.5 supports up to 14 references, 5.0 Lite supports up to 14
- Combine with clear prompts — Reference images guide the visual direction; your prompt guides what to do with it
Text rendering (Seedream 4.5 and above)
Seedream 4.5 is particularly strong at rendering text within generated images. This is useful for:
- Ad creatives with headlines
- Social media posts with overlay text
- Product mockups with labels
- Posters and banners
How to get good text rendering
- Put exact text in quotes:
"SUMMER SALE 50% OFF"— the model treats quoted text as literal - Specify placement: "text centered at the top of the image" or "headline in the upper third"
- Keep text short: 3-5 words renders reliably; longer text may break
- Specify font style in the prompt: "bold sans-serif text", "elegant script font"
- Use higher resolution: 2K or 4K output gives text more pixels to be readable
Example prompt:
A minimalist poster for a coffee shop, white background, centered text reading
"BREW & CO" in bold black sans-serif font, a small coffee cup illustration below
the text, clean design, 4K resolution
Version-specific prompting tips
Seedream 4.0 — Generation-focused
Seedream 4.0 excels at text-to-image generation with reference consistency. Prompting tips:
- Focus on clear, direct descriptions — 4.0 is less forgiving of ambiguous prompts
- Use the
nparameter to generate 3-5 variants and pick the best - Leverage multi-reference inputs for consistent characters or products across a batch
- Specify resolution explicitly: "1K", "2K", or "4K"
Seedream 4.5 — Editing and production
Seedream 4.5 adds stronger editing capabilities and text rendering. Prompting tips:
- For image editing: Upload the source image as a reference and describe the transformation
- For text in images: Always quote the exact text you want rendered
- For multi-image editing: Upload all source images and describe the unified transformation
- For 4K output: Explicitly request 4K — the model optimizes differently for higher resolution
Seedream 5.0 Lite — Deep thinking and web search
Seedream 5.0 Lite reasons through complex prompts before generating. Prompting tips:
- Describe logical relationships, not just visual elements: "an infographic showing the relationship between A, B, and C where A leads to B"
- Enable web search (
web_search: true) when your prompt references real-world data, current events, or factual content - For scientific diagrams: Describe the structure and data relationships explicitly
- Use more detailed prompts — 5.0 Lite's deep thinking benefits from richer instructions, unlike 4.0 where brevity is better
Bad → good prompt rewrites
The fastest way to improve your Seedream results is to see what "bad" vs "good" actually looks like.
Example 1: Product photo
Bad:
a picture of headphones
No style, no background, no resolution, no lighting — the model has to guess everything.
Good:
A premium wireless headphone in matte black, floating against a soft gradient
background transitioning from light gray to white, studio lighting with subtle
reflections, product photography style, sharp focus, 4K resolution
Every decision is explicit: subject, color, background, lighting, style, resolution.
Example 2: Social media ad with text
Bad:
make an ad for a free trial
No visual subject, no text content, no style, no format.
Good:
A young woman smiling while using a laptop in a bright cafe, text overlay reading
"START FREE" in bold white sans-serif font with a subtle drop shadow, lifestyle
photography, warm color tones, 9:16 aspect ratio
The text is quoted, placement is implied by "overlay", font style is specified, and aspect ratio matches the target platform.
Example 3: Scientific diagram (5.0 Lite)
Bad:
carbon cycle diagram
No structure, no labels, no style — the model will produce something generic.
Good:
An infographic showing the carbon cycle: atmosphere CO2 at the top, arrows flowing
down to plants (photosynthesis), then to soil (decomposition), then to fossil fuels,
then back up to atmosphere (combustion). Clean flat design, labeled arrows, white
background, educational illustration style
The logical flow is described step by step. The model's deep thinking capability can parse this structure and render it coherently.
Image editing workflow (Seedream 4.5)
Seedream 4.5 is the recommended version for editing. Here's the complete workflow:
Step 1: Upload the source image
Pass the original image URL in the
image_urls parameter. This tells the model what to start from.Step 2: Write a transformation prompt
Describe what you want changed — not what the image already is.
Background swap:
Change the background to a tropical beach with turquoise water and palm trees,
keep the product and its shadow exactly as they are
Label replacement:
Replace the product label text with "NEW FORMULA" in the same font style and size,
keep everything else unchanged
Style transfer:
Restyle this product photo in a flat illustration style with bold outlines
and pastel colors, maintain the same composition and product position
Step 3: Iterate with specificity
If the first result isn't right, don't start over — make your prompt more specific:
- Add "keep the original [element] unchanged" for things that shifted
- Specify exact positions: "in the upper-left quadrant", "centered at 1/3 from top"
- Add "do not alter the [element]" for areas the model modified incorrectly
Recommended parameter combinations
Different workflows call for different parameter setups:
| Workflow | Version | n | size | web_search | Why |
|---|---|---|---|---|---|
| Quick concept exploration | 4.0 | 5 | 1K | — | Cheap, fast, multiple options |
| Product catalog generation | 4.0 | 1 | 2K | — | Consistent quality, controlled cost |
| Social media ad with text | 4.5 | 3 | 2K | — | Text rendering + a few variants |
| 4K hero image for landing page | 4.5 | 1 | 4K | — | Maximum resolution, single output |
| Product photo editing | 4.5 | 1 | 2K | — | One edit at a time for precision |
| Data visualization | 5.0 Lite | 1 | 2K | Yes | Deep thinking + factual data |
| Creative illustration | 5.0 Lite | 3 | 2K | No | Reasoning helps with complex scenes |
Batch generation best practices
All Seedream versions support generating multiple images per request via the
n parameter (up to 15).- Use
n=3-5for exploration: Generate a small batch to find the best direction - Use
n=1for production: Once you know what works, generate one at a time to control cost - Cost scales linearly:
n=5costs 5x the single-image price - Same prompt, different results: Each image in a batch is a unique interpretation of the same prompt
Common mistakes and how to fix them
Mistake 1: Overloading the prompt with conflicting styles
Problem: "cinematic photography, watercolor painting, pixel art, anime style" — the model can't serve four styles at once.
Fix: Pick one style per generation. If you want to explore styles, run separate requests with different style keywords.
Mistake 2: Describing what you don't want instead of what you do
Problem: "no people, no text, no dark colors, no buildings"
Fix: "An empty meadow with wildflowers under a bright blue sky, soft pastel color palette, landscape photography"
Mistake 3: Using vague size keywords
Problem: "high resolution" — the model doesn't know if you mean 1K, 2K, or 4K.
Fix: Use explicit size values: "4K resolution" or set the
size parameter to "2048x2048" in your API call.Mistake 4: Expecting editing without reference images
Problem: "Edit this photo to have a beach background" — but no image was uploaded.
Fix: Always pass the source image via
image_urls when doing edits. Without a reference, the model generates from scratch.Mistake 5: Enabling web search for creative prompts
Problem: "A fantasy castle floating in clouds" with
web_search: true — web search adds cost and latency but provides no value for fictional content.Fix: Only enable
web_search when your prompt references real-world data, statistics, or current events.FAQ
What is the best prompt length for Seedream?
For Seedream 4.0 and 4.5, keep prompts focused: 2-4 sentences covering subject, style, and key details. For Seedream 5.0 Lite, you can use longer, more detailed prompts because the deep thinking capability benefits from richer instructions.
How do I get consistent characters across multiple images?
Use reference images via
image_urls. Upload a clear photo of the character and describe the new scene or pose in your prompt. This works across all Seedream versions.Can Seedream render text in images?
Yes, Seedream 4.5 and 5.0 Lite have strong text rendering. Put the exact text in quotes within your prompt and specify font style and placement. Keep text to 3-5 words for best results.
How do I write prompts for image editing?
Upload the source image as a reference, then describe what you want changed: "Change the background to a tropical beach" or "Replace the product label with the text 'NEW FORMULA'". See the full editing workflow above. Seedream 4.5 is the recommended version for editing.
What prompt format does Seedream 5.0 Lite's web search work with?
When
web_search: true is enabled, write prompts that reference specific real-world information: "Create a chart showing Tesla's Q1 2026 revenue compared to Q4 2025". The model will search for the data before generating.My generated text looks garbled — how do I fix it?
Keep text to 3-5 English words, use quotes, and specify a simple font style ("bold sans-serif"). Avoid long sentences or complex typography. Use 2K or 4K resolution for better text clarity. If it still fails, try rephrasing to shorter text.
How do I get the same result every time?
You can't get pixel-identical outputs — each generation is unique. To get consistent style and composition, use reference images and keep your prompts specific. For consistent characters, always include the character's reference photo.
For pricing details, see the Seedream pricing guide. For version comparison, visit the Seedream family overview.
