How to create and publish AI-generated images: from prompt to post

AI image creation has gone from a party trick to a production line. Here is the whole workflow, from the first prompt to a post that is live on every platform you care about, and paid for.

Published 2026-10-19 by Cat Claw, the UK's create-and-distribute AI studio. About a 20 minute read.

The short version

• AI image creation turns a written prompt into a finished picture using a text-to-image model. A good prompt names the subject, style, mood, lighting and composition.
• The 5-part prompt structure (subject, style, mood, lighting, composition) fixes most weak results. Change 1 part at a time and iterate rather than rewriting from scratch.
• Pick the tool by the job: a photorealistic engine for product and lifestyle shots, an illustrative one for graphics, an editing model when you already have an image.
• Edit before you publish: upscale, crop to the platform's aspect ratio, and split the image into layers if you need to move or swap an element.
• Size for each platform: 4:5 or 1:1 for Instagram and LinkedIn feeds, 9:16 for Stories, Reels and TikTok, 16:9 for X and YouTube thumbnails, 2:3 for Pinterest.
• You can make money from AI-generated images by selling the prompts behind them, licensing the images, selling prints and products, and building a paid portfolio. In the UK, computer-generated works have a specific position under the Copyright, Designs and Patents Act 1988.
• On Cat Claw an image render starts at 3 credits (about 14p), sign-up is free with no card, and posting to around 15 platforms through Puurfect Post costs nothing.

AI image creation is the process of generating a finished picture from a written description, using a text-to-image model that has learned how words map to visual detail. You type what you want to see, including the subject, style, mood, lighting and composition, and the model renders it in seconds. No camera, no studio, no design degree.

This guide is the full AI image workflow for content creators, in plain English: how text-to-image AI actually works, how to write prompts that produce images you would be proud to post, how to pick the right AI image tool for the job, how to refine and edit the result, how to publish AI-generated visuals across Instagram, TikTok, X, LinkedIn and the rest, and how to earn from the images you make. It is written by Cat Claw AI, a UK-based AI content creation platform, and every product detail in it is a real behaviour of the studio at the time of writing.

What is AI image creation and how does it work?

Quick answer. AI image creation is generating a picture from a text description with a text-to-image model. The model reads your prompt, converts the words into a mathematical representation of what the image should contain, then builds the image step by step from visual noise until it matches that description. On Cat Claw you type a prompt, pick an engine such as Seedream, choose an aspect ratio and get a finished image in under a minute for 3 credits.

AI image generation is the technology that produces an original image from a written prompt. The models behind it are trained on enormous sets of image and caption pairs, so they learn the relationship between language and appearance: what 'golden hour' does to light, what 'editorial fashion photograph' implies about framing, what a 'ginger cat on a velvet armchair' should look like. When you write a prompt, the model is not searching for an existing picture. It is composing a new one that satisfies your description.

1. Your prompt is read and encoded. A language model inside the system turns your sentence into a dense numerical description. Every word carries weight, which is why the order and specificity of your prompt change the output so much.
2. The image is built from noise. Most modern text-to-image models are diffusion models. They start with a canvas of random noise and refine it over a series of steps, each one nudging the pixels closer to something that matches the encoded prompt. This is why 'denoising' and 'steps' show up in advanced settings.
3. Style is rendered on top of structure. Composition and subject are resolved first, then texture, lighting and style. That is why a prompt that nails the subject but says nothing about light tends to come back flat: the model fills the gap with an average.
4. The image is decoded and delivered. The finished representation is converted into pixels at your chosen size. Engines such as Seedream deliver up to 4K; a 1024 by 1024 render is standard for social work.

None of this requires technical knowledge from you. Cat Claw's image studio puts the engine, the aspect ratio and the price in front of you on one screen, so a first-time creator and a working designer use exactly the same tools. The difference between them is the prompt, and that is a skill you can learn in an afternoon.

What is a text-to-image model?

A text-to-image model is an AI system trained to produce an image that matches a written description. Well-known examples in the category include Midjourney, Stable Diffusion, Adobe Firefly and GPT Image. Inside Cat Claw the stills lineup is Seedream and Seedream 5.0 Pro for generation, Banana Cat Edit 4K for natural-language editing of an existing image, and GPT Image 2.5 in fast and precision variants, all on one credit balance.

How does the model interpret a prompt?

The model weighs every phrase in your prompt and tries to satisfy all of them at once. Specific, visual words (a material, a lens, a time of day) pull harder than abstract ones ('beautiful', 'high quality'). Contradictions get averaged, so 'minimalist, highly detailed' produces something that is neither. Order matters too: most engines give the opening words more weight, so lead with the subject.

How does style rendering work?

Style is the set of visual conventions a model applies on top of the subject: photographic versus painted, film grain versus clean digital, 35mm versus macro, a 1970s fashion editorial versus a 2026 product campaign. Naming a medium, an era or a genre is the most efficient way to control it. Reference images do the same job more precisely: Seedream 5.0 Pro accepts up to 10 reference images, so you can hold a face, a product or a palette consistent across a whole series.

Why does AI image creation matter for content creators?

AI image creation matters because the demand for original visuals has outrun the supply of time, money and design skill. Every feed, newsletter, product page and ad set wants fresh imagery daily. Stock libraries look like stock. Photoshoots cost money and take weeks. An AI image generator for creators collapses that cycle to minutes, so one person can run a visual output that used to need a small team.

• 15 billion+ AI-generated images created between 2022 and August 2023, at roughly 34 million a day (Everypixel Journal, August 2023)
• 700 million+ images generated by ChatGPT users in the first week after its image generation launch (OpenAI, April 2025)
• 3 credits the starting price of an image render on Cat Claw, about 14p (Cat Claw AI pricing, October 2026)

The barriers AI removes are the ones that used to decide who got to make professional visuals at all.

• Design skill. You describe the image instead of constructing it. The craft moves from the mouse to the sentence.
• Expensive software. A browser and a credit balance replace a subscription suite and a workstation.
• Production time. A brand still that took a day of shooting and retouching is a 60-second render and a 10-minute edit.
• Volume. Testing 5 versions of a hero image used to be a luxury. Now it is the default way to work.
• Geography. A creator in Hull has the same image studio as an agency in Soho, and in the UK the pricing is in pounds with no exchange-rate surprise.

The catch is that everyone has the same tools. What separates a feed that stops the scroll from one that looks like every other AI feed is the prompt, the edit and the eye. The rest of this AI image prompt guide is about those 3 things.

How do you write prompts that generate stunning images?

Quick answer. Write the prompt in 5 parts: subject (who or what, with 2 or 3 concrete details), style (the medium and genre), mood (the emotional register), lighting (source, direction and quality) and composition (framing, lens, aspect). Lead with the subject, keep each part to a short phrase, and change 1 part at a time between renders.

A prompt is a brief, not a wish. The model will deliver exactly what you describe and fill every gap with the statistical average of everything it has seen. Averages are boring. Specificity is what makes an AI-generated image look authored rather than generated.

Understanding prompt structure

Put together, the strong column reads as one prompt: 'A woman in her 30s in a camel wool coat holding a flat white, steam rising, outside a Shoreditch cafe. Editorial fashion photograph, 35mm film, 2026 campaign look. Quiet early-morning mood, warm neutrals against a cool sky. Soft overcast daylight from the left with gentle rim light on the hair. Waist-up, 85mm lens, shallow depth of field, subject on the right third.' That is about 60 words, and every one of them is doing a job.

Small changes in wording make large changes in the output. Swap 'overcast daylight' for 'low golden hour sun' and the whole colour palette shifts. Swap '35mm film' for 'studio digital, clean' and the grain, contrast and skin texture change with it. Treat each component as a dial and turn 1 at a time, so you learn what each phrase actually does on the engine you are using.

A tip from the Cat Claw studio. Write the lighting line before the style line. In our own production work, lighting is the single phrase that most often decides whether an image reads as a photograph or as a render. A plain subject under precisely described light nearly always beats a lavish subject under 'cinematic lighting'. If you are going to spend words anywhere, spend them on where the light comes from.

Common prompt mistakes to avoid

• Stacking quality words. 'Masterpiece, 8K, ultra-detailed, award-winning' tells the model nothing about the picture. Describe the light and the lens instead.
• Contradicting yourself. 'Minimalist and intricately detailed' or 'candid and perfectly posed' average out to mush. Pick one.
• Burying the subject. If the first 10 words are about mood, the subject gets less weight. Lead with what the image is of.
• Asking for 3 images in 1. A product, a lifestyle scene and a text overlay is 3 renders, or 1 render plus an edit. Keep each prompt to a single clear picture.
• Ignoring the aspect ratio. A composition written for a wide 16:9 frame will crop badly at 9:16. Choose the ratio for the platform first, then write the framing to suit it.
• Rewriting from scratch when a render misses. Change the 1 component that was wrong and run it again. You learn faster and spend fewer credits.
• Forgetting references. If a face, a product or a brand palette must stay consistent, attach a reference image rather than trying to describe it perfectly every time.

Iteration is not failure, it is the method. Professional AI image creators typically run 3 to 6 versions of a shot before they have one they would publish, and the credit price of a draft is small enough that this is the cheap part of the process. Every Cat Claw render shows its price before you confirm and refunds automatically if it fails, so experimenting costs you nothing but a few seconds.

How do you choose the right AI image tool for your creative goals?

Quick answer. Choose by output type and use case. Photorealistic engines suit product, lifestyle and portrait work. Illustrative styles suit graphics, thumbnails and brand mascots. Editing models suit changing an image you already have. Then check 3 practical things: whether it renders readable text, whether it accepts reference images, and what a render costs.

Inside Cat Claw the stills lineup covers all 5 approaches without leaving the studio. Seedream is the default text-to-image engine for photorealistic and artistic work, with native text rendering and output up to 4K. Seedream 5.0 Pro adds up to 10 reference images and readable text in 15 languages at 2K class, which makes it the pick for a series, a multilingual campaign or a locked product. Banana Cat Edit 4K takes an image you already have and edits it from a plain-English instruction with up to 4 inputs at native 4K. GPT Image 2.5 runs in a fast Flare variant for drafting and a precision Sunburst variant for finals. Kitten Shot turns any of these into a repeatable board: pick the engine once, save the setup, and render the same shot again with one tap.

If you want the full decision tree across image, video and audio, including when to draft cheap and finish premium, read our guide to which AI model is right for you. The short rule: match the engine to the job in front of you, not to a league table.

• Which AI model is right for you? A plain-English guide to the Cat Claw lineup
• Best AI content creation tools in 2026, compared

From image to published content: the step-by-step AI image workflow

A generated image is a draft, not a deliverable. The gap between the two is a short edit and a correct export, and it is the stage most creators skip. The workflow below is the one the Cat Claw studio uses, and every step of it runs inside the same account.

1. Draft the shot. Write the 5-part prompt, pick the aspect ratio for the destination platform, and run 3 to 6 versions on a fast or standard engine. Choose the best composition, not the prettiest render.
2. Lock and finish. Re-run the chosen composition on the engine that gives you the quality you need, attaching a reference image if a face or product must match. This is the render you will publish.
3. Refine and edit. Upscale, crop, fix a detail, swap a background or pull the image into layers. Details in the section below.
4. Export for each platform. Save the right size and aspect for every destination rather than letting each platform crop for you.
5. Publish and schedule. Post to every connected account from one screen, choosing feed, Story or Reel where the platform offers the choice, and schedule the rest of the week.

Refining and editing your AI-generated image

Post-generation editing is where a flat output becomes a platform-ready asset. 4 moves cover almost every case.

• Upscale. A 1024 by 1024 draft is fine for a feed post and too soft for a print, a hero banner or a 4K video plate. Run the chosen render through Enhance to bring it up to size and sharpen texture.
• Crop and reframe. Cut the master to each platform's aspect ratio yourself. Keep the subject on a third and leave safe space at the top and bottom of 9:16 frames, where captions and interface sit.
• Fix and swap with a prompt. Change the background, the colour of a jacket or the text on a sign with a natural-language edit in Banana Cat Edit 4K rather than re-rendering the whole image and losing what worked.
• Split into layers. CatClaw Layers turns a flat image into up to 16 transparent PNG layers with the hidden areas inpainted, so you can move the product, swap the backdrop, re-stack the type or edit any single layer from a prompt. Rearranging and the flattened export are free.

Layered editing is the step that separates a creator who posts renders from one who ships assets. A single hero image, once split, becomes a feed post, a Story with the product moved up, a banner with the backdrop extended and a mockup with the design pressed onto a surface. Our guide to turning flat images into editable layers walks through the whole process.

• Turning flat images into editable layers with CatClaw Layers

Distributing your images across multiple platforms

Every platform crops, compresses and displays images differently, so one export does not fit all. The sizes below are the safe choices at the time of writing.

Best practice for distribution is to export once per shape rather than once per platform: a 4:5 master, a 9:16 vertical and a 16:9 wide cover nearly everything. Then schedule. Posting the same image to 7 networks by hand is the chore that stops most creators publishing consistently, which is why Cat Claw connects your finished images straight to Puurfect Post and sends them to around 15 platforms, including Instagram, Facebook, TikTok, YouTube, LinkedIn, X and Threads, from one screen. If a render is 9:16 it is offered as a Story or Reel automatically, so a vertical image is never rejected by a feed that cannot hold it. Our round-up of multi-platform content distribution tools compares the options if you want to see the field.

• The best multi-platform content distribution tools for creators

Can you make money from AI-generated images?

Quick answer. Yes. Creators earn from AI-generated images in 5 main ways: selling the prompts and workflows behind them, licensing images to brands and publishers, selling prints and print-on-demand products, producing client work faster at the same fee, and building a paid portfolio or membership. The images that sell are the ones with a point of view, a consistent style and a real use.

• Sell the prompt, not just the picture. A prompt that reliably produces a sellable style is a product. On the Cat Claw marketplace every prompt listing shows the real image it produced, prompts sell at a fixed £1 and bundles of 3 to 8 at £4, buyers pay by card through Stripe, and sellers earn 20 credits per prompt sale and 40 per bundle to spend on their own rendering.
• License the image. Brands, publishers and agencies pay for exclusive or limited use of visuals they could not shoot. Keep the master at 4K, keep the layer stack, and price by use rather than by file.
• Sell prints and products. Posters, phone cases, apparel and stationery through print-on-demand services turn a strong series into recurring income with no stock.
• Do client work faster. The most reliable money in AI image creation is still a brief with a fee attached. Mood boards, social sets, ad variants and mockups that took days now take an afternoon, and the margin is yours.
• Build a paid portfolio. A newsletter, a membership or a digital product (a style pack, a template set, a how-I-made-it breakdown) turns an audience that likes your images into one that pays for them.

On ownership, be precise rather than nervous. In the UK, the Copyright, Designs and Patents Act 1988 includes a provision for computer-generated works that grants copyright to the person who made the arrangements for the work to be created, which is a more defined position than most countries offer. In the US, the Copyright Office has said purely AI-generated work with no human creative input is not eligible for copyright, while work with sufficient human creative contribution may be. In practice, the editing, selection and layering you do after generation is both what makes the image yours and what makes it worth paying for. Check the licence terms of any tool you use and, for a commercial deal of any size, take proper legal advice. This guide is general information, not legal advice.

• Sell your work on the Cat Claw marketplace
• How to sell AI prompts: pricing, listings and what actually sells

How Cat Claw AI supports your image creation journey

Cat Claw AI is a UK-based AI content creation platform that covers the whole workflow in this guide inside one account: generate the image, edit it, split it into layers, size it, publish it to every platform and sell the prompt behind it. The studio was built by independent creators for independent creators, and the pricing reflects that.

• Image generation on Seedream, Seedream 5.0 Pro, Banana Cat Edit 4K and GPT Image 2.5, with 8 aspect ratios from 1:1 to 9:16 and the credit price shown before every render.
• Kitten Shot boards that save an engine, a prompt and a look, so a repeatable shot is one tap.
• Enhance for upscaling and CatClaw Layers for turning any flat image into up to 16 editable layers.
• Puurfect Post for scheduling and posting to around 15 social platforms, free, with feed, Story and Reel placement.
• A prompt marketplace where every listing shows its real result and sellers earn credits on every sale.
• Free sign-up with no card. Image renders from 3 credits, credit packs from £4.99 for 100 credits, and failed renders refunded automatically.

Being UK-based matters in practical ways: prices in pounds, UK platform availability, UK copyright context, and a studio that answers in your working hours. Explore Cat Claw AI's creator tools and the creator programme to see how other creators are already using them. The cat has reviewed every engine in the lineup and insists the lighting line goes first.

• Explore Cat Claw AI's creator tools and creator programme

Frequently asked questions

What is AI image generation and how does it work?

AI image generation produces an original picture from a written prompt. A text-to-image model encodes your words into a numerical description, then refines a canvas of random noise over a series of steps until it matches that description, resolving subject and composition first and lighting, texture and style after. The result is decoded into pixels at your chosen size, typically in under a minute.

Do I need design experience to create AI-generated images?

No. You describe the image in plain English rather than constructing it. The skill that matters is writing a clear prompt with a subject, a style, a mood, a lighting description and a composition, which most people pick up in an afternoon of iteration. Design experience helps with the editing and selection stage, but it is not required to start.

What makes a good prompt for AI image creation?

A good AI image prompt names the subject with 2 or 3 concrete details, the style (medium, genre, era), the mood, the lighting (source, direction, quality) and the composition (framing, lens, aspect ratio), in roughly that order and in about 40 to 80 words. Avoid stacked quality words such as 'masterpiece, 8K', avoid contradictions, and change 1 component at a time between renders.

Can I sell images I create with AI tools?

Yes, in several ways: sell the prompt behind the image, license the image to brands and publishers, sell prints and print-on-demand products, use the speed to take on more client work, or build a paid portfolio. On the Cat Claw marketplace prompts sell at £1 and bundles at £4, with sellers earning credits per sale. Check your tool's licence terms and take legal advice for a large commercial deal.

How do I distribute AI-generated images across multiple platforms?

Export a 4:5 master, a 9:16 vertical and a 16:9 wide version, which between them fit Instagram, TikTok, X, LinkedIn, Pinterest, YouTube and Facebook, then use a scheduling tool so you post once rather than 7 times. Cat Claw sends finished images to around 15 platforms through Puurfect Post from one screen, choosing feed, Story or Reel placement where the platform offers it.

What types of images can AI tools realistically produce?

Photorealistic product shots, lifestyle scenes and portraits; illustrated graphics, thumbnails, mascots and posters; abstract backgrounds and patterns; and edited versions of images you already have, such as a swapped background or a changed caption. Readable text in the image, consistent faces across a series and accurate hands are the areas where engine choice matters most. Seedream 5.0 Pro, for example, renders text in 15 languages and holds up to 10 reference images.

Is AI-generated image content suitable for professional or commercial use?

Yes, provided it is produced and used honestly. Agencies, brands and publishers already use AI-generated images for campaigns, social content, mockups and editorial illustration. For professional use, finish the image properly (upscale, crop and edit), keep the master and the layer stack, show products as they really are in advertising, and understand the copyright position in your market. In the UK, computer-generated works have a specific status under the Copyright, Designs and Patents Act 1988.

What is the best AI image generator for content creators in 2026?

The best AI image generator for creators is the one that fits the job and the budget: a photorealistic engine for product and lifestyle shots, a reference-capable engine for consistent series, an editing model for changing an image you already have, and a low per-render price so iteration is cheap. Cat Claw puts Seedream, Seedream 5.0 Pro, Banana Cat Edit 4K and GPT Image 2.5 on one credit balance from 3 credits a render, with editing, layers and publishing in the same account.

How long does it take to create and publish an AI-generated image?

A single render takes under a minute. A finished, platform-ready image, including 3 to 6 drafts, a final render, an upscale and a crop, typically takes 10 to 20 minutes for a creator who has learned the 5-part prompt structure. Publishing to every connected platform from one screen takes about a minute more. A week of daily posts is an afternoon's work.

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How to create AI-generated images and publish them everywhere: how text-to-image works, prompt structure, editing, platform sizes and how to earn from them.