AI image generator for designers: which tool for which job

There is no single best AI image generator for designers. There is a best one for the job in front of you. Midjourney is the one many designers reach for when they want mood and style. ChatGPT and Google's Nano Banana are strongest when you want to change an image by talking to it. Adobe Firefly has the clearest story on training data and commercial use. Ideogram is built around text inside the image, and Recraft is the one that hands you real vector files.

So the useful question is not "which tool wins?" but "what must I deliver at the end?" A moodboard, a product photo, a social post the client will edit, an SVG icon and a mockup are five different jobs, and each points to a different tool.

This article is part of my practical guide to AI in graphic design. Below: what each main tool is known for in October 2026, based on each company's own documentation, then a guide by job, what free and paid plans change, and a comparison table. No scores and no lab results. Tools change every few months; good criteria last longer than any ranking.

What a designer needs from an image generator

Most "best AI image generator" lists judge tools by how impressive one picture looks. For design work, that is the least useful test. A beautiful image you cannot edit, use commercially or get as a vector is a dead end. These are the six things I look at:

1. Style control. Can I steer the look with reference images, and keep a set of images feeling like one family?
2. Text in the image. Can it spell a headline correctly, and in which scripts?
3. Output. Raster or vector, what resolution, transparent background or not.
4. Editing. Can I change one part of the image without starting again?
5. Rights and privacy. Who can see what I generate, who owns it, and what the model learned from.
6. Where it lives. Inside Photoshop, inside Canva, in a chat window or on its own site. The closer it sits to where the file goes next, the less time I lose.

AI is a tool in my hand here, not the designer. I direct, and it speeds up the parts that used to eat hours: finding a direction, building a scene, extending a background. When I first wrote about AI tools for designers, my point was that they save time and don't replace the designer. The tools have grown a lot since; the point stands.

The main tools in 2026, one by one

Everything below comes from each tool's official pages as of October 2026. Features and plans change often, so check the current terms before you rely on any detail for a client.

Midjourney

Midjourney is still the tool most associated with strong, stylised images, and its controls are built around style. A Style Reference captures the look of an image (colour, medium, texture, lighting) without copying its objects or people. Moodboards build a personal style from a set of images you choose. The Editor changes one area of an image or extends the canvas beyond its frame.

For text, Midjourney's own documentation says that from version 6 you put the words inside double quotes, and that text works best with the standard Latin alphabet and with short phrases.

On privacy: images are public on the Midjourney website by default. Stealth mode, which hides them, comes only with the Pro and Mega plans, which Midjourney's terms also require of larger companies.

ChatGPT image generation

OpenAI's image generation lives inside ChatGPT, which makes it feel like briefing an assistant. You describe what you want, look at the result and ask for changes in plain language. You can upload an image and describe the edit, ask for a transparent background, and keep refining in the same conversation.

In April 2026 OpenAI introduced ChatGPT Images 2.0, with better text rendering, denser layouts such as posters and infographics, and improved multilingual text. It is available on all ChatGPT plans, with tighter limits on the free one. OpenAI's developer documentation is honest about the limits: the model can still struggle with precise text placement, and with keeping a recurring character or brand element consistent.

Nano Banana (Google Gemini)

"Nano Banana" is the nickname that stuck to Google's Gemini image models, and there are now several: Nano Banana Pro (Gemini 3 Pro Image), announced in November 2025, and Nano Banana 2 (Gemini 3.1 Flash Image), released in February 2026. You use them in the Gemini app and through Google's developer tools.

Google presents them as editing models as much as generators. You can change part of a photo with words, blend several photos into a new scene, take the texture or colour of a reference image and apply it to your subject, and keep people and objects looking the same across edits. Google also says they render legible text and can translate or localise the text inside an image.

Google's own model page adds a fair warning: the model can generate and translate text in many languages, but it may struggle with grammar, spelling and cultural nuance. Every image from Google's tools also carries an invisible SynthID watermark that marks it as AI-generated.

Adobe Firefly

Adobe's pitch is trust. It says its own Firefly models are trained on licensed content, such as Adobe Stock, and on public domain content whose copyright has expired, and not on Creative Cloud subscribers' personal content. Adobe calls these models commercially safe, and business customers on qualifying plans can get IP indemnification for what they generate.

Two details matter in 2026. First, the Firefly app now also offers partner models from other companies, including Google's and OpenAI's. Adobe's commercial-safety claim is about its own Firefly models; for partner models, Adobe says it is up to the creator to judge whether they suit the project. The Content Credentials attached to each file show which model made it.

Second, Firefly's real advantage is where it lives. Generative Fill works inside Photoshop, on a layer you control, and Generate Vectors in Illustrator creates scenes, subjects and icons you can download as SVG. Backgrounds and patterns land straight in the files you are already working on.

Ideogram

Ideogram was built around text in images: headlines, posters, packaging copy, signage. Its latest model adds layout control, where you draw boxes and describe what goes in each one, and Ideogram says you can pull generated text out into editable layers to change the wording, font or size.

Read the small print on language, though. Ideogram's own text rendering page says it supports English and other Latin-script languages, and that support for other scripts is expanding. On the free plan, everything you generate is public; private generation needs a paid plan.

Recraft

Recraft is the one tool here built around a designer's file formats. Its V4 Vector models, released in February 2026, generate real SVG files with editable paths from a prompt, and Recraft describes itself as the only generator that does this. Exports include SVG, PDF, PNG, JPG, TIFF and Lottie.

Around that, it offers style tools for keeping a set of icons consistent, a mockup tool, a vectoriser for existing raster images, background removal and inpainting. Recraft says free-plan images are public and come without commercial rights; paid plans include them.

Krea

Krea is less a single model than a studio. Its best-known feature is real-time generation: you move simple shapes or sketch on a canvas, and the image updates almost as fast as you work. It also gives access to many models from other companies, including Flux, Ideogram and Gemini for images and Runway, Luma and Veo for video, alongside its own, plus an enhancer that can enlarge images a long way and the option to train a custom style from a few of your own images. That makes it a good place both to explore and to finish.

Leonardo

Leonardo grew popular for characters, game art and stylised assets, and has been part of Canva since 2024 while still running its own platform. Its Phoenix model is known for following long prompts closely and for coherent text, and its style, character and content references help when you need the same character across a series.

Mind the plan terms. Leonardo says free-plan images are public and owned by Leonardo, with a licence for you to use them commercially. Paid plans add private generation and full ownership.

Canva's AI tools

Canva's AI sits inside the layout tool many clients already use every day. Dream Lab generates images and is built on Leonardo's Phoenix model. Magic Media turns text into images and into graphics such as icons and stickers, and teams with a Brand Kit can generate images that follow the brand's style. The everyday helpers, removing a background or resizing a design for each platform, are still why many people open it. For a client who wants "something simple" fast, that is often enough.

The image is rarely the point in Canva. The point is that it lands straight into a layout with live, editable text, which matters a great deal for Arabic, as I explain in Arabic text in AI images.

A comparison table of criteria

This is not a ranking. It shows what each tool is known for, according to its own documentation in October 2026, so you can match it to the job.

Which tool for which job

This is how I would choose, job by job. In every case the prompt matters as much as the tool; I explain how I write them in prompt writing for designers.

Moodboard

Here I want range and taste, not precision. Midjourney's Style References and Moodboards are made for this, and Krea's real-time canvas is good for pushing a composition around. ChatGPT is useful even earlier, when I'm still talking an idea through, or need to put a direction into clear words for a client.

Two rules. Mix AI images with real references (photography, print, places, packaging you can hold), or the board starts to look like everyone else's. And never present a moodboard image as a finished design. It is a direction, not a deliverable.

Product shot

The product has to stay the real product. I start from a real photo or a 3D render, then use an editing model to change the setting, the light or the background. Nano Banana and ChatGPT both accept uploaded images, and Generative Fill does the same inside Photoshop, with layers I control.

What I never do is let the model redraw the label. Logos, ingredients and especially Arabic names come back subtly wrong. If the label must show, it comes from the real artwork.

Social media post

Speed matters here, and so does text. If the headline is short and in English, the tools built for text (Ideogram, ChatGPT Images 2.0, Nano Banana) can put it into the image directly, but check every letter. If the post is in Arabic, or the client will change the offer next week, I generate the image with no text and set the type as live text in Canva, Photoshop or Figma. Live text takes a minute to edit. Text baked into the pixels means generating again.

Vector icon

This is Recraft's job. Its vector models return SVG files, and its style tools help keep a whole icon set in one style. In Adobe's world, Illustrator's Generate Vectors has an Icon type, described as low-detail elements for icon sets and logos.

Either way, open the file and check it. AI vectors often carry extra anchor points, uneven strokes and shapes off the grid. Clean them up, or redraw on top, before the icons go into a product or a brand system.

Mockup

There are two routes. A classic Photoshop mockup with smart objects is still the most controlled: the design stays exact and editable. AI scenes are faster when the mockup is about atmosphere: give an editing model your real design and ask for a scene around it, or use Recraft's mockup tool.

On the Kababgy Al-Sultan project page, some of the takeaway and menu scenes were made with AI around the real designs, and each one is labelled as an AI scene. I recommend that habit. People should know what was photographed, what was rendered and what was generated.

Free or paid: what actually changes

I won't quote prices; they change too often and differ by country. What matters is what a free plan takes away. Reading the official terms, the pattern is clear:

• Privacy. On the free plans of Ideogram, Leonardo and Recraft, what you generate is public. Midjourney images are public by default unless you pay for a plan with Stealth mode.
• Rights. Recraft's free plan comes without commercial rights. Leonardo keeps ownership of free-plan images while licensing them to you.
• Provenance. Google embeds SynthID in images from its tools, and Adobe attaches Content Credentials. Both are good for honesty, but know they are there.
• Limits. Free tiers usually mean fewer or slower generations, lower resolution and fewer models.
• Protection. Adobe's IP indemnification is for qualifying business plans, not the free tier.

My rule is simple. Free plans are fine for learning, personal moodboards and ideas you would be happy to see in a public gallery. Anything with a client's name, an unreleased product or a brand that has not launched goes into a paid plan with privacy and clear commercial terms, chosen with the client's sector in mind. A bank and a neighbourhood café do not carry the same risk.

How I fit these tools into real work

In the video series I direct at SkillUp MENA (AI Video Studio), image generation is one step in a chain: script, stills, motion, voice and edit. I direct AI tools at each step, and the image step taught me what matters in a series. It is not one beautiful frame. It is many frames that clearly belong together. That is why I care more about references, consistency and editing than about which model makes the prettiest single picture.

The same thinking runs through the rest of my work, from building products with Claude Code to scenes for a brand page: I choose the tool by what happens to the file next. Edited, scaled, printed or translated? The answer usually picks the tool before I write a prompt.

Conclusion

The best AI image generator for a designer is the one that matches the job. Midjourney or Krea for direction. Nano Banana, ChatGPT or Generative Fill for editing real images. Ideogram for short Latin headlines. Recraft or Illustrator for vectors. Canva when the image must live in an editable layout, and Firefly when the client's legal team asks how the model was trained. Check the plan terms before client work, keep labels and lettering real, and finish in the tools you know.

If you want a brand or a campaign where AI speeds up the work but every decision is still designed, start a project here.