Stop scrolling through the same handshake and laptop photos. Describe the exact image your blog post, slide or landing page needs and generate it from a text prompt, in the right shape and mood. Compare a few models side by side, and check each one's license terms before you publish.
You know the search: you type "team meeting" into a stock library, scroll past the same smiling group around the same glass table, and settle for the least wrong one. A text-to-image model flips the order. You describe the picture your blog post, slide or landing page actually needs, in the shape it needs, and you get something that exists only for you. It is not free of trade-offs, so this page covers the licensing questions and the places where stock still wins.
Stock photography solves a real problem, a licensed image on demand, but it has two built-in weaknesses. The photo was made for everyone, so it fits your specific point loosely, and everyone else is looking at the same shelf, so your header may turn up on three other sites this month. A generated image starts from your sentence instead of from someone else's shoot.
That changes what you can ask for. Instead of settling for the closest match, you can request a quiet kitchen table at dawn with a half-finished spreadsheet printed on paper, wide and empty on the left so a headline fits. You can also fix the shape before you start, since headers, slides and social cards want different crops.
Picasso IA lists 212 text-to-image models in a 502-model catalog, so you are not tied to one model's habits. Run one prompt through several of them and keep the winner; the full catalog is browsable. New accounts get free credits to start, and each generation costs credits that depend on the model and the settings, so check the pricing page for current plans instead of trusting a number written here.
Different places want different images, and the model choice follows the job. The table below pairs the common spots with a prompt direction and a model worth trying first. These are starting points from each model's own description, not rankings: run your own prompt through two before you commit.
| Where it goes | Ratio to request | What to describe | Model to try first |
|---|---|---|---|
| Blog post header | 16:9 | One concrete scene that matches the post's point, with calm empty space for the title | picassoia-image |
| Slide background | 16:9 | A quiet texture or setting, low contrast, nothing busy in the middle where text will sit | google/nano-banana-pro |
| Website hero banner | 21:9 or 16:9 | A wide scene with an open area on one side for the headline | google/nano-banana-pro |
| Inline article image | 3:2 or 4:3 | A specific object or moment that illustrates one claim in the text | krea/krea-2-large |
| Newsletter or social card | 1:1 or 4:5 | A single clear subject, centered, readable at thumbnail size | krea/krea-2-large |
A few notes on why those pairings. picassoia-image is the native model, described on its model page as unlimited text-to-image with seven aspect ratios and a seed you can lock, which suits the fast, repetitive work of headers. google/nano-banana-pro renders at 1K, 2K or 4K and accepts up to 14 reference images, which helps when a deck needs a consistent look. krea/krea-2-large has a creativity setting from raw to high that controls how literally it follows your words, and it takes up to 10 style reference images. For slides in particular, the AI presentation images page goes deeper.
This walkthrough takes you from a missing image to a file you can place in a post or deck. It assumes you already know where the picture will sit and what it should say.
Generic output comes from generic prompts. The words "business meeting" invite the average of every business meeting ever photographed. Specific input pushes the model away from that average, and these five habits do most of the work.
The effects page shows how a preset look changes a picture, which helps when you are hunting for style words.
This is the part stock libraries sell most clearly, and the part you must handle yourself here. Picasso IA gives you access to many models from different providers, and licensing and commercial-use terms are not the same across them. Some model pages describe clean output with no watermark, which is about the file, not about your legal rights. Whether you may use an image in a client project, an ad or a product is a separate question.
Before an AI image goes on a commercial page, read the terms for the specific model that made it, and keep a note of which model and prompt produced each file. If the use is high stakes, such as an ad campaign or packaging, ask a qualified professional to review it. This page is general information, not legal advice.
Two rules hold regardless of the model. First, do not generate recognizable real people: no celebrities, no private individuals, no staff member unless they have agreed and you own that likeness. Second, do not generate or imitate real brands and logos. Both create risks that a stock license normally takes off your plate.
Custom images are not a drop-in replacement for every stock use, and some jobs should stay with a camera or a licensed library.
If the image must show a real thing, such as your office, your team, your product or a real place, a generated picture is the wrong tool. A made-up office presented as yours misleads readers, and a product render that differs from the item you ship misleads buyers. For product pages, start from real photos and look at AI product photography rather than inventing the item.
Text inside images is the next weak point. Signs, whiteboards and screens often come out with garbled lettering, so leave them blank and add words afterward in your design tool. Fine details like hands, small icons and charts also need a close look. A diagram that must be accurate should be drawn, not generated.
Last, consistency: a site that needs the same fictional character across fifty pages will fight drift unless you build around references. The consistent AI characters page covers the technique and its limits.
For many posts, yes, especially headers and illustrative images where the picture supports an idea rather than documents a fact. You describe the scene, pick a ratio and get an image that fits that post. For pictures that must show something real, like your team or product, keep using real photos. A mixed approach, with generated images for concepts and real photos for facts, is the most honest and usually the most practical.
It depends on the model and on where you live, so read the terms for the specific model before using an image in anything commercial. Picasso IA offers many models from different providers, and licensing and commercial-use terms are not identical across them. A clean, watermark-free file does not by itself settle your rights. For campaigns, packaging or client work, have a qualified professional review the terms, because this page cannot give legal advice.
There is no single answer, which is why a catalog helps. picassoia-image suits quick, repeated headers, google/nano-banana-pro handles higher resolutions and reference images, and krea/krea-2-large gives you a creativity setting and style references. Out of 212 text-to-image models, pick two, run the same prompt through both and keep whichever matches your tone.
Be specific. Name an unusual detail, state the light and the camera distance, and say what should stay empty. Avoid abstract words like professional, and avoid vague categories like business meeting. Then look closely at the result: warped hands, melted text and overly smooth surfaces are the usual tells, and regenerating or cropping out the problem is often quicker than fixing it.
No, and you should not try. Do not generate recognizable real people, whether famous or private, and do not place a real person's likeness in an image without their agreement and your rights to it. Use fictional, generic figures, hands, silhouettes or scenes without people. For headshots of yourself, the dedicated page on AI headshots explains the approach and the limits.
Avoid it. Models can reproduce a logo badly or invent a lookalike mark, and either one can create a trademark problem or a misleading impression. Describe a generic unbranded version of the object instead, such as a plain laptop, a blank package or a neutral storefront. If a real logo has to appear, add the official file in your design tool afterward, with permission and following that brand's own rules.
It varies by model. picassoia-image offers 1:1, 16:9, 9:16, 4:3, 3:4, 3:2 and 2:3, krea/krea-2-large includes 4:5 and a wide 2.35:1, and google/nano-banana-pro adds 21:9 and renders at 1K, 2K or 4K. Pick the ratio for the slot before you generate, because cropping a square into a banner wastes the composition.
Generations are paid in credits, and the cost depends on the model and your settings, so no single figure would stay true. New accounts start with free credits, which is enough to test whether the approach suits your content. Plan details live on the pricing page, and it is the only place worth trusting for numbers.
Rules differ by platform, publisher and country, and they keep changing. Some platforms ask for labels on realistic synthetic images, and some clients or publications have their own policies. Check the current requirements wherever the image will appear. A short caption is cheap and avoids confusion when a picture could pass for a real event.
Yes. Models that accept reference images, such as google/nano-banana-pro with up to 14, can take an existing picture plus a new instruction and produce a variation. krea/krea-2-large lets you attach style references to carry a look across a set. For a consistent blog or deck, keep your best image as a reference, change one thing per run and save the prompt that worked next to the file.
Your next post does not need to use the same handshake as everyone else's. Open the Picasso IA toolkit, describe the picture you actually have in mind and compare what two models give you.
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