AI image generation for social media
Visuals carrying your colours, your logo and your actual wording - because the words are typeset, not generated.
Text on a creative is rendered, not drawn
No image model renders text reliably. It produces plausible lettering, and a creative reading SocailPro, or a price that is off by a digit, is worse than one with no text at all - because it gets published before anyone reads it closely.
So the job is split. The model draws the image; the headline, price, call to action and URL are composited as real vector text from the exact strings you supplied. What you typed is what appears.
Sized for where it is going
A LinkedIn link card, an Instagram square, a story and a YouTube thumbnail are different shapes, and a creative cropped to fit loses its subject. Dimensions come from the destination rather than from a menu you have to learn.
- Feed, square, portrait, story and landscape ratios
- Brand colours, fonts and logo applied consistently
- Carousels generated as a set rather than as separate images
- Editing, inpainting and upscaling on an image you already have
Brand facts, only where they exist
Prompts are built from your brand kit deterministically, so the same brief produces the same brief every time. Where a field is empty, no instruction is emitted for it - the alternative is a model faithfully rendering invented colours, which looks exactly like a deliberate brand decision nobody made.
See it on your own accounts
Connect a channel and publish something. That is a shorter route to knowing whether this fits than any amount of reading.