This is for small e-commerce teams and solo marketers shipping a campaign without a photographer.

Why reference images matter more than prompts

Prompts describe intent; references lock appearance. If you describe a bottle in words twice, you get two different bottles. If you attach the same reference image twice, you get the same bottle in two settings. Seedream accepts up to four reference images per request, so the practical setup is one product shot plus up to three scene references.

How do you set up the first shot?

Start with your cleanest existing product photo, ideally on white with even lighting. Ask for the hero image first and inspect it closely.

• Check that logo placement and label text survived
• Check proportions against your real product
• Save this output as your canonical reference

Every later shot should reference this canonical image rather than the original photo, so the lighting and colour treatment stay consistent.

How do you produce the rest of the set?

For each scene, attach the canonical image plus a background reference, then describe only the change. Keep the wording for the product identical across every prompt. That repetition is doing the consistency work.

What still needs retouching?

Label text on curved surfaces, like a bottle or tube, still distorts lettering enough that a designer should overlay the real logo in a separate editor. Reflections sometimes appear where physics says they should not. And colour drift creeps in across a long set, so compare the eighth image to the first before publishing.

What does this replace, and what does it not?

It replaces the mood-board and the low-stakes lifestyle shot. It does not replace a real shoot for a hero image on a homepage, where buyers will scrutinise the product. Treat the AI set as campaign filler and social content, and keep one genuine photographic hero per product. The cost argument holds at roughly a tenth of a studio day, but only if you accept the retouching pass.

Key Takeaways

• Consistency comes from reusing a canonical reference image, not from prompts.
• Seedream 4.0 accepts up to four reference images per request.
• Keep the product wording identical across every prompt in the set.
• Curved-surface label text and reflection artefacts still need retouching.
• Use the AI set for campaign and social content, not the homepage hero.

Its selling point over earlier models is legible text inside images. Posters, packaging mockups, and UI screens with readable labels are the use cases it was built for.

How is Seedream 4.0 different from earlier models?

Two capabilities stand out. First, text rendering: prompts asking for a sign, label, or headline in the image now produce correct spelling most of the time. Second, native editing: you attach up to four reference images and describe a change, and the model keeps the rest of the composition intact.

That second part replaces a two-tool workflow. Previously you would generate in one model and inpaint in another, losing consistency.

How do you write prompts for it?

Describe the scene, then the text, then the style, in that order. Seedream weights later tokens heavily, so put the text you want rendered near the end.

• Scene: “a corner coffee shop, morning light, wooden counter”
• Text: “a chalkboard reading ‘Fresh Roast Daily'”
• Style: “35mm film photograph, muted tones”

Quote the exact string you want rendered. Unquoted text gets paraphrased or misspelled.

How do you edit an existing image?

Upload the source, write a change instruction, and keep the rest of the prompt describing what should stay. “Change the jacket colour to navy, keep the pose and background” works; “make it better” does not. Up to four reference images can be combined in one request, which is how you swap a product into a staged scene.

What resolution and limits should you expect?

Output goes up to 4K on the long edge. Sessions have a per-generation cap on reference images at four, and very complex scenes with several text elements start dropping letters or mixing languages. Renders are fast, typically under 15 seconds for a standard 1024px image, longer at 4K.

Where does it still break?

Hands remain unreliable when they are the focal point. Dense paragraphs of small text degrade into symbols, so stick to short headlines. And it is weaker than dedicated models at photoreal human faces, which some competing tools handle better.

It is a strong pick for marketers making posters, packaging concepts, and social graphics with real words on them. It is a poor pick for portraits or illustrations where no text is involved, since you are paying for a capability you will not use.

Key Takeaways

• Seedream 4.0 combines image generation and multi-image editing in one model.
• It renders legible text, which suits posters, packaging, and UI mockups.
• Put quoted text near the end of the prompt for accurate spelling.
• Output reaches 4K, and you can attach up to four reference images per edit.
• Hands and dense small text still fail; photoreal faces are better handled elsewhere.