How to create your social media art with AI: identity, variants and a monthly batch

TLDR: With a defined visual identity and two tools chained together, you can produce a month of social media art in one afternoon. NightCafe generates the base images by testing several models on a single site, and Dezgo turns out the variants and touch-ups with no sign-up. The final batch comes out of one session a month against a calendar written beforehand, and the cost can be zero to start.

Nine squares that do not match

Open your own profile on a phone, in grid view rather than in the editor. Nine pieces. Three are bluish illustrations from the week you found a model you liked, two are warm-lit photographs from the week you tried something else, one has a caption baked in that the square crop chopped in half, and two are from that March template. Individually every one of them is fine. Together they do not read as the same account.

That is the job this guide is about, and it is not generating images, which is now the easy part. It is making thirty pieces produced across different months read as one brand, and keeping them that way when a platform changes its crop. AI removes the cost of producing. What it does not remove, and in fact worsens when nobody decides anything, is the cost of incoherence, because cheap generation makes it very easy to generate in several directions at once.

1. Define your visual identity

The most common mistake with image generators is opening them without knowing what you are after: the result is a feed where every post looks like a different brand’s. Before touching any tool, put the decisions you never make twice into a one-page document.

Styles go concrete (flat illustration, warm-lit photography, soft 3D) and the brand prompt is a template describing style, palette and mood with one slot open for each post’s topic. Something like “flat illustration in blue and coral tones, clean background, soft light, about [topic]”. That slot is the only thing that changes daily.

The brand document is what separates a coherent feed from pretty images with nothing in common.

2. Generate base images with NightCafe

NightCafe bundles several top generation models under one interface, which is exactly what this phase calls for: run your brand prompt through two or three different models and compare. Each model reads style differently, and one of them will fit your palette better than the rest. Once you find it, that model becomes your standard for base images.

The economics matter here. NightCafe gives out free credits every day, enough to iterate without paying while you refine the prompt, but the top models burn through credits fast. Test on the cheaper models until the prompt delivers, and save the expensive ones for the final render. Paid plans start from 7.49 dollars a month if you pay the year up front, with a free trial.

Its community and daily challenges double as an idea bank: seeing which prompts others use in styles close to yours shortens the learning curve. To weigh it against the rest, our ranking of the best AI image tools puts it side by side with rivals like Visuali.

3. Create variants and touch-ups with Dezgo

There is one rule here that prevents half the grief: a format does not get cropped, it gets generated. An illustration built for the square, cropped to vertical, loses exactly what made it work, and that is nearly always the air on the sides. Generate each format with its own prompt, saying where the subject sits, and always keep the widest version, because the others come out of it.

And leave empty space on purpose. If a piece is going to carry a headline, the prompt has to ask for a clean band in the top or bottom third. The text goes on afterwards, in the editor, never inside the prompt.

For a normal monthly batch, the free tier usually covers this phase. If a month demands more volume, paid usage starts from 10 dollars. The working rule: NightCafe for locking the style, Dezgo for multiplying formats.

4. Produce the monthly batch without going broke

Batching changes the economics of the whole process: instead of generating one image a day, you set aside one session a month to produce the 20 or 30 pieces on the calendar. The catch is that a monthly subscription bills you on the days you generate nothing too, and at this rhythm that is most of them.

Which is why the batch needs no third tool. The two from the previous steps already cover the run: NightCafe’s daily credits absorb the refining without costing anything, and Dezgo’s basic generation carries no counter and asks for no account. The only thing that decides the month’s spend is how many final pieces you end up with, and picking a plan only comes up when the batch stops fitting in those free tiers, from 7.49 dollars a month on NightCafe or from 10 on Dezgo. Measure two months before paying for either.

The batch does not come out of that afternoon’s inspiration. It comes out of a list of topics written beforehand, each with its publication date, and that list is what decides how many pieces are needed and in which format. Without it, the session produces twelve beautiful images of the same thing and none for the announcement on the 12th.

The full workflow looks like this:

The first two stretches can cost nothing and the third only costs if the volume climbs. If your pattern shifts to daily generation, check the AI image ranking before committing to a plan.

Before signing off the batch, put it in a grid. Lay the last nine pieces out together on one screen, the way a profile is seen, and ask whether somebody who does not know you would say they belong to the same account. It is the check no tool runs for you and the only one that measures what you are actually building. Carousels get the same idea with a different rule: the first slide is the only one most people will see, so it has to work alone, and the rest have to work without it for anybody who starts swiping halfway through.

The four exceptions that always show up

This workflow covers the bulk of the month. Four cases escape it every time, and none of them is fixed with a better prompt:

The piece that has to carry text. Generators spell badly, in every language and every model, and at small sizes it shows more. The exit is fixed: the image gets generated with a clean band and the text goes on top in the editor. Never inside the prompt, not even on the occasions when it comes out right.

The piece that needs a real face or a real product. The day you have to show the team, the premises or the thing you sell, this is not the workflow. A mediocre real photo beats a perfect illustration of something that does not exist, and audiences spot a generated face very fast. For the product, the method is in AI product photos.

The month with a date on it. A campaign, an anniversary or a season arrives and the temptation is to change the whole style for the occasion. What holds up is the opposite: the brand prompt stays and gets a bounded variant, an accent color or one added element, retired when it ends. A style that changes every campaign never becomes recognizable.

The platform that changes its crop. It happens a couple of times a year, without warning, and suddenly every vertical piece you have is cut off at the top. You survive it if you kept the originals at the highest resolution with the subject centered with margin. The JPG you uploaded is no use to you.

What to measure to know it is working

Three numbers you count by hand in ten minutes, and they say more than any platform’s reach dashboard:

Pieces published against pieces generated. If you generated thirty and published eleven, the problem is not the tool, it is that step 4’s calendar did not exist and you were producing blind. Chasing that ratio upwards is what turns one afternoon into a solved month.

The grid test, counted. Show the last nine to somebody outside and ask how many they would say belong to the same account. Repeat it every quarter with the same person. It is subjective and it is the only direct measure of the thing you are trying to build.

Minutes per piece in the second run. Time the first session and the third. If the time does not fall, the brand document is not doing its job and you are re-deciding every month what was decided once.

What you check before publishing

No piece goes on the calendar without being seen at full size, on a phone, and not out of fussiness: generator failures live in small detail (hands, background text, an invented logo on a wall) and at thumbnail size they are invisible. One of those undoes in a second the credibility consistency took months to build.

Three things the machine does not publish on its own: faces that could pass for a real identifiable person, third-party brands or logos the model invented, and any image illustrating a specific claim or product without somebody confirming it matches what the text says.

And the license comes before publication, not after. What decides is not the plan you pay for, which is the common belief and is false in both tools whose terms can be checked. NightCafe transfers the rights in the generated artwork to the user and allows personal or commercial use, on condition that you did not start from copyrighted images. Dezgo runs models under the CreativeML Open RAIL-M license, which claims no rights in what you generate and does restrict certain uses. What to check before publishing is where the input image came from and what the model license forbids.

This workflow produces the art for your organic feed. If what you need is creative for paid campaigns, with its angles and its rotation, that is a different craft and it lives in AI ad creatives. And if the image is a video thumbnail, competing in somebody else’s grid under different rules, the guide is AI video thumbnails.

Common mistakes

Publishing the first generation that comes out. Generators fail in predictable ways: hands, text inside the image, invented logos. Review every piece at full size before it goes on the calendar.

Switching styles every week. The temptation to try every new model is real, but the value of this system sits in repetition. A recognizable brand takes weeks of consistency to form and one chaotic month to break.

Paying for a subscription before measuring your volume. Start on the free tiers, count how many final images you actually produce per month, and only then decide whether a plan, loose credits or staying free makes sense.

Not saving the prompts that work. Every prompt that returns a publishable image is a brand asset, and with sessions that expire your identity document is the only safe archive.

Frequently asked questions

Can I use these images for commercial purposes?

Yes, and it does not depend on the plan. NightCafe transfers the rights in the generated artwork to the user and allows personal or commercial use, provided you did not use copyrighted images in the process. Dezgo publishes its models under the CreativeML Open RAIL-M license, which claims no rights in the outputs and does forbid certain uses. What does change from tool to tool is that list of forbidden uses, so read the specific model license before publishing rather than the price tier you are on.

When does this system not pay off?

When you publish twice a month. Building the brand document, refining the prompt and learning two tools costs a long afternoon that twenty-four pieces a year will not repay, and coherence at that volume is just as achievable by repeating one template in an editor. The point where this starts earning its keep sits closer to fifteen pieces a month than to five.

How much does it cost to set up this workflow?

You can start at zero: NightCafe gives free daily credits and Dezgo generates for free without sign-up. When you need more volume, the entry spend is from 7.49 dollars a month on NightCafe or from 10 dollars on Dezgo.

Do I need design skills for the feed to look good?

No, but you do need to make the decisions from step 1: palette, styles and formats. The tools execute, and visual coherence comes from repeating the same decisions, not from technical skill.

How long does it take to produce a month of content?

With the visual identity already defined, one afternoon is enough to generate, review and prepare the 20 or 30 pieces for a month. The first run takes longer, because you are building the brand prompt and testing models.

Do images made with AI have to be labelled?

Platform rules change and are worth checking, but underneath the rule there is a judgment call that decides more: an illustration in an obvious style fools nobody and needs no notice, while an image that looks like a photograph of something that did not happen does need one, whether the platform asks for it or not.