AI Design Prompt Generator for Logos, UI, Posters and Brand Concepts

Ask a model for 'a logo' and you get a gradient blob with a swoosh. Ask for 'minimalist logo mark for a coffee roastery, single-line geometric bean, flat vector, black on white, generous negative space' and you get twenty starting points a designer can argue with. Same model; the difference is the spec.

This page runs our image prompt builder, preset for design work: logos, UI screens, posters, packaging, illustration. Describe the job in plain words; it returns a prompt with subject, construction, style, palette and format in the right order. Free, no account, all in your browser.

Why design prompts work differently to chat prompts

Text models read instructions. Image models read a weighted description - no 'please' to obey, no reasoning step, words behaving more like sliders. Move 'vector' to the front and the render flattens. Drop 'studio photograph' in anywhere and your flat look is gone.

So a design prompt gets assembled in blocks, roughly in this order:

• Subject - a mark, a screen, a poster, a box.
• Construction - line weight, geometry, flat or dimensional, how many colours.
• Style direction - genre, era, medium, movement.
• Composition - centred, isolated, grid, diagonal, where the empty space goes.
• Palette - two or three named colours beats 'colourful'.
• Format - aspect ratio, background, what you want excluded.

Skip a block and the model fills it with the average of its training data. Hence the endless purple gradients.

Logos and marks

Logos are the hardest thing to prompt and the easiest to over-prompt. A good mark is a small number of decisions; models want to add shadows, sparkles, ornament, a second colour nobody asked for. Push back with monoline, flat, two colours maximum, uniform stroke weight, generous negative space, isolated on white.

Two decisions before you type:

• Flat or dimensional. Flat vector reads at 16px and prints in one colour. Glossy 3D marks look great in a render and collapse on a business card.
• Literal or abstract. 'Bean' gets a bean. 'Geometric mark where a bean and a sunrise share one curve' gets an idea.

Now the honest part: AI still cannot spell reliably, and it is worst inside logos. Diffusion models paint letterforms as shapes that look like text rather than assembling real glyphs, so you get plausible nonsense - ROASTREY, doubled letters, serifs from no known alphabet.

The fix is workflow, not wording. Generate the symbol alone, then set the wordmark in a real typeface. Add text terms to your negative prompt - text, letters, words, watermark, signature - so the model stops scribbling fake type into the mark.

Style direction without naming living artists

'In the style of [famous living illustrator]' is lazy, legally messy and increasingly filtered anyway. It also works worse than describing what you like about that work.

Describe the ingredients:

• Era and movement - Bauhaus geometry, Swiss International typographic style, 1970s airline branding.
• Medium - two-colour risograph, screen print with visible misregistration, ink and gouache, cut paper.
• Palette - 'muted terracotta, cream and deep teal' beats 'warm colours'. Name three and stop.
• Mood - calm, clinical, playful, austere. One word, not four.
• Texture - halftone dots, paper grain, clean digital, film noise.

Movements and long-dead artists are fair game and more precise anyway. That vocabulary also travels: the same description holds up in Midjourney, DALL-E or a local checkpoint.

UI screens, app mockups and marketing shots

Interface work hides two jobs in one request: the layout concept, and the glossy mockup of a device. Say which you want.

Treat the result as a wireframe with taste. Labels will be gibberish, spacing will not sit on an 8pt grid, components will not match your design system. What you get is composition, hierarchy and mood - useful in a day-one client conversation, useless as a handoff.

Marketing renders are the opposite. 'App on a phone held in one hand, soft window light, shallow depth of field, neutral desk background' gets close to shippable, because now you are prompting a photograph, not a product.

Posters, social graphics and packaging

Layout-heavy formats need composition words and reserved space. Ask for empty areas out loud - 'large clear area in the lower third for a headline' - so you have room to set real type later.

For packaging, name the substrate and the shot: kraft pouch, matte carton, amber glass bottle, plus 'product photography, soft studio light, plain background'. The model has no idea what a dieline is, so structure stays your problem. Social graphics come down to aspect ratio and safe margins - generate wide, crop in.

Illustration styles that stay consistent

One-off illustrations are easy. A set that looks like a set is the hard part. Write the style string once and reuse it word for word - same medium, same palette, same line weight, same background - changing only the subject clause.

If your tool supports seeds or style references, lock them. Stable Diffusion users can go further with a LoRA trained on an approved set. Everyone else: keep the exact string in a text file, because paraphrasing drifts the look.

Aspect ratio, background and asset-ready output

Two settings decide whether an image is usable as an asset:

• Aspect ratio. 1:1 for marks and avatars, 9:16 for phone screens, 2:3 for posters, 16:9 for slides and banners. Midjourney takes --ar; most other tools have a field.
• Background. Say 'isolated on plain white background' or 'flat solid background, no scene'. Some tools export real transparency now; where they do not, a flat single-colour background cuts out in seconds.

Pair those with an exclusion list for whatever keeps creeping in - drop shadow, gradient, 3D render, text, watermark. Our negative prompt tool builds those lists; the image prompt generator handles the positive side.

Model choice matters too. Midjourney is strongest on mood and composition, DALL-E follows literal instructions best, Stable Diffusion gives you LoRAs and cheap local batching. Syntax differs, so use the Midjourney prompt generator, the DALL-E prompt generator or the Stable Diffusion prompt generator for wherever you work. Midjourney and Stability AI document their own parameters.

From concept to real artwork

What comes out of a model is a concept, not a brand asset. It is raster, the geometry is approximate, the curves are not really curves, nothing scales. Treat it like a mood sketch.

A handoff that works:

1. Generate 20-40 variations, then kill everything merely nearly good. Keep three ideas, not three renders.
2. Import into Illustrator or Figma. Auto-trace only for a rough outline - never ship a trace.
3. Redraw on a grid with real curves, consistent stroke weights, optical corrections.
4. Set the type in a licensed font. Build the lockups and the one-colour version.
5. Test at 16px and in pure black. If it survives, you have a mark.

Rights are the other reason to redraw. Providers grant broad commercial use under their own terms, but in several jurisdictions - the US included - a purely AI-generated image may not attract copyright at all, so you may have no way to stop a competitor copying it. A human redraw sits on firmer ground. Not legal advice; ask someone qualified before a mark goes on a trademark filing.

For the theory under all this, our image prompts guide covers weighting, seeds and iteration, and how to write AI prompts covers the structure beneath every prompt.

Start with the box above: one messy sentence, then edit in the details only you know.