Prompt Engineering for Ad Image Generation: 50 Ready-to-Use Prompts

Frequently asked questions

What makes a good prompt for an advertising image?

A good advertising prompt names five things the model would otherwise invent: the subject, the setting or surface, the light (direction, quality, source), the photographic technique or framing, and the finish. Adding a style reference (a brand, a magazine, a photographer) steers the result far more effectively than adjectives like "beautiful". Close with one or two exclusions such as "no text, no watermark" rather than a long list of negations.

Which AI model should I use with these 50 prompts?

All of them are written to be model-agnostic and work with FLUX.2, Nano Banana Pro and 2, GPT Image 2 (all in SociaLover) and with Midjourney V8.1 and Ideogram 3 (not in SociaLover). The model changes the rendering, not the structure of the prompt: FLUX.2 is the reference for precise product briefs, Nano Banana Pro or GPT Image 2 for a slogan or a price inside the frame, GPT Image 2 for long narrative prompts.

Do these prompts work in Nano Banana Pro?

Yes. Nano Banana Pro reads the same structured sentence, and it is the SociaLover model to choose when the creative has to carry legible text (8.7 out of 10 in our September 2026 re-check) or when you edit an existing render. Add your product photo as a reference image and describe what must stay identical. Use Nano Banana 2 instead when you need native 4K at about half the price, and the text is added afterwards.

How do I get the same product in every image?

With a reference image rather than with words. Attach your product photo in FLUX.2 (up to four references), Nano Banana Pro or 2, or Seedream 4.5, and describe only the scene around it; to change one thing on an existing render, use FLUX Kontext with an instruction such as "replace the background, keep the product identical". A text description alone lets the model redraw the packaging slightly differently every time.

Do these prompts work for video models too?

The structure does, the content does not. A video model such as Kling 3.0, Veo 3.1 or Seedance 2.5 still needs the subject, the setting, the light and a style reference, but it also needs a motion prompt: what moves, how fast, where the camera goes. Take the still prompt as the first frame and add one sentence of motion; our guide on animating a still image into a video covers that step.

How do I keep my brand colors in a prompt?

Write the HEX codes, not the color names: "#E94560 accent, #1A1A2E background" is unambiguous where "coral red" is not, and most models place a HEX value within a shade or two. In SociaLover, store the palette once in the Brand Kit and enable it in the tool: the colors are then read at generation time instead of being retyped in every prompt. The brand kit article details what to store and which tools read it.

How many variations should I generate per prompt?

Three to five, with a different seed each time, before you decide whether the prompt itself is the problem. Variability between two generations of the same prompt is still significant in 2026, so a single disappointing image says nothing about the prompt. Drafting on FLUX.2 at 1K, the lightest photorealistic tier of the SociaLover catalog at 4 tokens, keeps that habit painless.

How do I stop the model from writing text on the image?

End the prompt with an explicit exclusion ("no text") as several of the prompts in this article do. Keep negations to two or three elements at most: long lists of things to exclude confuse the model instead of constraining it. If your creative needs a real slogan inside the frame, generate it with Nano Banana Pro or GPT Image 2 in SociaLover, or with Ideogram 3 outside it, and spell the words in quotes.

What is the difference between the Beginner, Intermediate and Advanced prompts?

Beginner prompts work as-is on any model once you have filled in the placeholders. Intermediate prompts stack more constraints (a specific light setup, a style reference, a precise framing) so they need more iterations to land. Advanced prompts require extra parameters that differ from one model to another, which is why they are the ones to test on a cheap tier first.