The first version was almost right, but the wordmark ran into the pixel shape. Instead of generating again — the variant was picked with a button and given one short instruction: the composition changed, the poster stayed the same.
Fix a photo from a description, build a collage or an infographic with text, create an image from scratch or a logo for your channel — all in the same chat where the files already are. There is no model to pick, and your description is carried out without any automatic “improvement” of the wording on your behalf.
New users get a few free attempts — with no watermark on the result. Enough to see whether the tool fits your work.
The editor handles ordinary retouching too, but it is most useful where the frame contains text, layout and a brand style: covers, infographics and cards for articles.
Attach references, describe the brand style — colours, typefaces, genre — and get an image for the article or post. One of the cases the tool is especially good for: a working sketch or finished graphic without assembling it by hand.
A headline, a backdrop, a recognisable palette — regular artwork for a feed, where what matters is not “nice in general” but staying in one visual direction from issue to issue; with references it lands closer.
Fix the text on a business card, a leaflet or a layout, replace a sign in the frame, rewrite a caption. This is one of the tasks generators get wrong more often — and what the models here were chosen with in mind.
Blurry and small shots, old scans, diagrams, drawings and graphics — and even unlucky pictures from other neural networks: those can usually be brought back into shape too.
Remove a stray object or a passer-by, change the light and the background, adjust a pose or clothing, make a photo “for documents”. One of the most frequent user scenarios.
A tattoo draft, a clothing redesign, embroidery and trim on a layout — when you need to see the idea quickly rather than receive a production-ready file.
The first version was almost right, but the wordmark ran into the pixel shape. Instead of generating again — the variant was picked with a button and given one short instruction: the composition changed, the poster stayed the same.
Not a literal localisation but a free redesign: the model pulled the structure and the numbers out of the original English collage, translated the labels into Russian and rebuilt the whole thing in a different visual style — from a description of the genre, not from a layout template.
Shot on a phone, in a box, on a windowsill. The product itself is preserved and a full advertising composition is built around it, headline and features included. The second prompt is a detail pass: rewrite a word, redraw an icon, clean up artefacts inside letters.
No source image at all: the prompt is a table of numbers and a set of layout requirements. The model wrote the headline itself, built two charts, set the footnote in small type and left a circular placeholder for a logo.
One casual photo in, a 3×3 grid out. The face, the clothing and the angle stay identical across all nine frames, only the light changes — and every frame carries its own caption, which is exactly where generators usually fall apart.
The hard part worked: the letters sit behind the steelworker, his silhouette cuts across them, and a documentary photo turns into a poster — exactly the effect the prompt asked for. Still, this one is fairer to read as a concept than as a finished layout: the lettering is not perfectly set, the last letter breaks the height of the row, and inside the safety carabiner the model drew an extra detail that is not there in the source.
An over-compressed video frame: ragged lines, labels on the edge of legibility. The prompt is four words. The model did not simply upscale the picture — it redrew the diagram, and the Cyrillic callouts stayed where they belonged.
No source images, just a long description of the composition — and the model read the brief well: layered paper cut-outs, a ransom-note headline in mismatched letters, and enough grasp of the tone that it wrote a couple of extra tabloid phrases of its own. It also shows honestly where the limits are: zoom in and the small print on the clippings is not text but an imitation of it, while the icons and counters in the middle double up and smear into each other. Fine detail is the first thing to break in generated images — worth planning around.
More of a stress test than the prettiest piece here: the typographic hierarchy could be finer. But a whole poem is laid along the shape of a face with no manual typesetting — and the Cyrillic did not collapse into nonsense letterforms, which is the usual failure mode.
One photo, twelve poses and expressions of the same person, each with a white outline on a flat background that is easy to key out later. All that is left is cutting the sheet into individual stickers.
Everything here was made with Flowmark and is shown as is, with no retouching in a graphics editor afterwards. Each card shows the source image, every edit step and the full prompt — exactly as it went to the model, which is why the prompts are in Russian. Worth noting: Cyrillic is one of the harder scripts for image models, so English prompts and Latin lettering are, if anything, an easier case than what you see here.
When a service offers a dozen models, the work quickly turns into trial and error: it didn’t work with one, try another. In Flowmark that choice has already been made.
Flowmark currently uses GPT Image 2 and Nanobanana 2; there is nothing to switch between by hand. They were chosen above all for following the instruction and for handling text, layout and typography.
The second decision is just as simple: your request is not rewritten. Many services quietly pad the description with “magic” words for a flashier picture — here it goes to the model as written. Flowmark does not change the task for you, so it is easier to know what was actually sent — and to phrase the next correction more precisely.
Under the latest result there is a panel with the original photo and every variant. The ticked one is named in words: “your next request will change: variant 2”. Want another variant instead — press its number.
A photo, a background reference and a style sample go in as one batch and work together — as a brief, not as separate requests.
Text and images are checked before generation. A rejected request costs no credits; requests to remove other people’s watermarks are blocked.
A stray phrase, a bare number or feedback like “not this” never reaches the model and costs no credits: the bot asks you to be specific, or offers another take on the same request. A short clarification such as “make the jacket blue” picks up the context of the previous edit.
Generation needs no menu or command: write to the bot in an ordinary sentence what you want to see. It works out that you mean a picture from scratch — and before starting, it shows how it understood the request and asks for confirmation.
Three buttons sit under the result: “Another version” runs the same prompt again, “Create new” generates from a new description, and “Edit image” moves the picture into the editor. The first two show the prompt and ask for confirmation, so nothing is charged by accident.
A separate tool in the Mini App: describe the idea in words, attach a reference if you like — and get a mark with a transparent background right away. One button saves it as a regular group asset, and it immediately works on photos and videos.

































The chequered backdrop is not part of the marks: that is how a transparent background is shown. Every example was generated by Flowmark and is shown as is, with no retouching.
The bot sends the source PNG and a separate version on a contrasting backdrop for further work. Plus a ready asset you can brand files with straight away.
Two modes: a white mark that reads well on dark frames, and a colour one. You can attach a reference image for the generator to follow.
The generator does not replace building a full identity. But for a first working mark, a watermark, an avatar or labelling your materials, it is usually enough.
Sometimes a logo isn’t the point: a personal watermark with a handle or a link can be built from text right in the Mini App — with a typeface and an icon. That is a text asset, with no generation involved.
Free attempts let you test the tool on your own task — and no watermark is placed on the result: the picture is entirely yours. They run in the standard quality mode.
On a subscription the higher quality mode kicks in: the model first works through the structure of the request and only then draws. The finished image arrives as a file — with no extra messenger compression, at full resolution.
The editor returns an ordinary raster image, without a transparent background. If you need a ready mark with transparency, that is the logo generator — it produces exactly that kind of file.
Treat print layouts as a draft. A business card or a leaflet is easy to assemble, show and discuss, but before the print shop you still need to check sizes, bleeds, the colour profile and production requirements.
Pre-moderation runs before generation and after it. Requests to remove other people’s watermarks and logos are blocked — Flowmark helps authors protect their own material.
The model makes mistakes, and its output is not Flowmark’s position. It can invent a fact or distort a face, a piece of lettering or a symbol, and the same request twice gives different pictures. Whatever it draws is produced at your request and does not express the opinion of the service or its authors. Check the result before publishing it — including against the rules of the country where it will be shown. This is set out in § 10 of the offer.
The same bot can brand the finished picture, caption it, recrop it to the format you need or run it through batch processing:
No, and that is deliberate. The model is chosen in advance — by how closely it follows the instruction and how it handles text, layout and typography. There is no need to work through engines to get a result.
No, Flowmark does not rewrite the wording automatically and does not add style directions for a flashier picture. The model still interprets the request, so two runs are not bound to be pixel-identical.
Anything where text in the frame matters: covers, infographics, lettering and layout. Then removing stray objects, replacing background and light, improving the quality of photos and graphics, retouching. The more specific the description, the more predictable the result.
No. A panel under the latest result lists the original photo and the variants: press the one you want, and the next request changes exactly that. No forwarding files, no replying to an old message.
The user. The output is produced automatically from your request, may contain errors and distortions, and is not an opinion or position of Flowmark. Check it before publishing — including against the requirements of the country where the material will be shown. The wording is in § 10 of the offer.
No. Before generating, the bot tells a task from a remark: feedback, stray numbers and menu choices never reach the model and cost no credits. It asks you to be specific instead, or offers an “Another take on the same request” button.
Editing an image and generating a logo cost 20 credits each, generating an image from a description costs 10. New users get a few free attempts, and no watermark is placed on the result. A request rejected by pre-moderation costs no credits.
The higher quality mode kicks in: the model works through the structure of the request before drawing. The finished image arrives as a file, with no extra messenger compression.
From the logo generator, yes — the mark comes with transparency and separately on a contrasting backdrop for further work. From the image editor, no: it returns an ordinary raster image.
No, such requests are blocked by pre-moderation. Flowmark helps authors protect their own material rather than strip other people’s protection.
Files are deleted once processing is finished and the result has been sent; the maximum retention is 24 hours, after which an automatic mechanism destroys them. Details are in the privacy policy.
With a toggle in the “Tools” section of the Mini App. After that, single images get an “AI Editor” button, and a text request for a picture is recognised by the bot itself.