We Tested 10 AI Image Generators on Faces, Text and Ads

Search for the best AI image generators, and you will find the same popular names: GPT Image 2, Nano Banana, Midjourney, Ideogram, Reve, Seedream, and a few others. What you rarely find is proof of what happened after somebody opened each tool, entered a prompt, and downloaded the first result.

Instead, what gets presented as real testing often consists of several unrelated images, followed by the AI image generator brands' own guides and feature pages rewritten in tidy sentences filled with favourite AI phrases like “strong typographic fidelity” or “high semantic prompt adherence.”

We wanted normal explanations from real people: the face looked good because the pores, peach fuzz and catchlights in the eyes still held up at full size, the hospital screen looked bad because the smaller words turned into symbols from some ancient civilisation when we zoomed in, and a perfume bottle nearly half the height of the man had an obvious scale problem.

Some comparison pages are still useful: Arena's text-to-image tables, for example, show which models people are voting for and often matched what we saw, while basic NPC-style reviews such as Zapier's current roundup are easy to scan but mostly read like polished summaries of those same model guides and feature pages published on the brands' own sites. To choose our ten, we also checked different search engines, followed discussions on Reddit and Discord, and compared notes inside TGK, focusing on the models people were using, recommending, or asking about.

Our “highly complicated TGK testing protocol” was simple: every model received the same three practical tests. We compared close-up facial detail, exact medical text inside a photographed hospital monitor, and a luxury fragrance campaign where the person, bottle, label, villa, and lighting needed to look believable together.

We kept the first result from every successful model because instant accuracy was part of the test. A reroll might produce a better image, but we wanted to see how much each tool understood before we rewrote the prompt or fixed the result ourselves. When the fragrance bottle came out nearly half the height of the man, it stayed in the article.

Quick answer

GPT Image 2 gave us the strongest set of text-to-image results. The face had the finest close-up detail, the hospital dashboard was accurate, readable, and convincing, and the fragrance campaign looked like the most expensive production in the test, apart from a bottle that was a little too large.

Midjourney 8.2 still has our favourite visual approach to photorealism. Its portrait had the best visual taste and already looked finished, while the fragrance campaign also belonged near the top. The hospital photograph looked good at normal size, although the smaller words turned into some truly exquisite symbols from an ancient civilisation when we zoomed in, and receiving four options at once made a strict first-result comparison messier and harder on the eye.

Seedream 5.0 Pro was the cheapest successful paid run we recorded and one of the strongest models across all three scenes. It cost $0.09 for our 2K WaveSpeed generation, produced a complete hospital environment with accurate text and handled the portrait and advertisement well. The face was its weakest point because the skin, edges and light still looked slightly CGI next to the most natural portraits.

Ideogram 4.0 was far more interesting than another “best for text” label suggests. Its portrait came close to GPT Image 2 and Midjourney, especially around the eyes, hair and skin detail, while the supplied hospital wording was also strong. The first hospital prompt placed the monitor upright because we used the word “vertical”; once we removed that word, the corrected result was close to perfect.

Reve 2.1 was the most consistent all-round alternative and had our favourite editing workspace. It understood what we wanted, kept the fragrance bottle under better control than most and produced a hospital scene that felt less generic, although its portrait lacked the tiny skin and hair detail of the leaders. Draw, Select and Spotlight are useful additions after generation, but the filters were strict in our separate fashion experiments.

Microsoft MAI-Image 2.6 Preview is one of the first models we would try for another product advertisement. Its VAREN 92 campaign won the round because the model looked professional, the bottle had sensible scale and we could have used the complete image in an ad. The close-up face was much more generic, and the hospital result never arrived despite roughly ten attempts, which makes MAI difficult to trust on a deadline.

Meta Muse Image was much better than we expected from a free consumer model, especially because we are not heavy Meta users. The portrait had unusually detailed pores, peach fuzz and fine upper-lip hair, and it beat Nano Banana, Grok and MAI in that round. Its hospital scene was generic, while the fragrance campaign confused the model's position against the reflecting pool and made the bottle too large.

Grok Imagine Image 2.0 completed every test and produced good, usable images, but Seedream handled similar scenes better and Grok never won a round. The portrait carried a visible grainy filter, the hospital setup looked familiar and generated, and the fragrance campaign was easily its strongest result. Grok's object selection and editing controls are a genuine bonus, although we did not use them to improve or score these first outputs.

Nano Banana Pro is much better at our real reference-heavy work than this clean text-to-image test suggests. The portrait was good without beating the leaders, the hospital scene felt generic and the fragrance bottle became enormous, yet Pro remains one of our first choices when several references must become one campaign without losing the character. Its filters were also more practical for ordinary fashion and advertising than Reve or Ideogram, although Seedream still gave us more room.

Nano Banana 2 came surprisingly close to Pro while costing much less. Our 4K WaveSpeed setting showed $0.14 per run against $0.24 for Pro, and although Pro still has a slight advantage in our photorealistic reference work, Nano Banana 2 beat it in the hospital test and remains excellent for fast repeated edits. It made the same ridiculous bottle-scale mistake, but when the project mostly needs quick edits rather than the very best reference quality, paying extra for Pro is difficult to justify.

Best AI image generator by use case

What is an AI image generator?

An AI image generator turns a written prompt, a reference image or both into a new picture. Most current tools can also replace objects, extend an image, add something in a chosen position and keep the same person recognisable across several scenes.

For this comparison, we judged the first image separately from the editing tools around it. A model can produce a beautiful picture but struggle with several references, character consistency or small changes, which is why our seven-model AI image editing test produced a different order.

How we selected and tested the ten models

We began with the models appearing repeatedly in current search results, creator discussions, Arena voting and our own work. Familiar old products were not included automatically, and we had no interest in padding the last positions with obscure tools simply to make the list look different. The evidence follows our TGK Tests & Research standard: show what we tried, what happened, what it cost and where it failed. The ten selected models were:

1. GPT Image 2
2. Midjourney 8.2
3. Seedream 5.0 Pro
4. Ideogram 4.0
5. Reve 2.1
6. Microsoft MAI-Image 2.6 Preview
7. Meta Muse Image
8. Grok Imagine Image 2.0
9. Nano Banana Pro
10. Nano Banana 2

The main test took place in August 2026. GPT Image 2, Ideogram 4.0, Reve 2.1, Seedream 5.0 Pro and both Nano Banana models were generated through WaveSpeed at the highest practical native setting available there. We also tried GPT Image 2 inside ChatGPT and later explored the official Ideogram and Reve sites to judge their interfaces. Midjourney was tested through its own website on a Basic subscription, Grok through Grok, and MAI-Image 2.6 and Meta Muse on their own free preview or consumer platforms.

Every model received the same underlying brief. We adapted formatting where a model worked better with sections or shorter instructions, but we did not secretly write a brilliant model-specific prompt for one tool and give another a lazy sentence. The prompts were intentionally practical rather than enormous. We wanted to see how the model interpreted ordinary instructions and filled in details that a normal user would assume were obvious.

We used the highest practical native quality, downloaded the original files and kept the first output. Some services did not offer 4:5, so we chose the closest available portrait ratio; aspect ratio did not affect the result. Midjourney returns four images in a batch, so we used the first image rather than choosing our favourite and quietly giving Midjourney four chances.

We did not record generation time consistently enough to publish a speed ranking. Every successful model felt reasonably fast in normal use, and inventing precision after the test would add nothing. The later WaveSpeed screenshots showing provider errors for GPT, Ideogram, Reve and Seedream were taken while checking prices and do not replace their valid first test outputs. MAI's missing hospital result is different: it repeatedly failed that prompt in MAI Playground during the test, even after roughly ten attempts before and during the final draft.

The exact prompts, settings, costs and recorded failures are available in the TGK AI Image Generators 2026 dataset on Hugging Face.

What we scored

We judged the first test on skin, eyes, hair, asymmetry, age, visible retouching and whether the face still felt photographed at full size. The second test weighted requested text accuracy, smaller unrequested interface text, monitor perspective, screen glare, software design and whether the doctor and computer belonged to one photograph. The advertisement test looked at the person, hands, tailoring, exact VAREN 92 label, bottle material, product scale, spatial logic, lighting and whether the final image was usable as an advertisement.

We also reviewed the interface, editing tools, reference-image support, safety filters, tested price and the kind of user who would benefit from each product. Those factors inform the recommendation, but they do not rewrite what happened in the three first-output rounds.

Test 1: Close-up facial detail and photorealism

The first prompt asked for a front-facing studio portrait of a 27-year-old woman with light olive skin, green-hazel eyes, a few freckles and tied-back dark-blonde hair. We asked for visible pores, peach fuzz, under-eye detail, individual eyebrow hairs, facial asymmetry and no beauty retouching.

Every current model can produce a recognisable human face, so “can it make a face?” would be a pointless test. We wanted to see how each model understood high-detail photorealism when the entire image was a face and there was nowhere for weak skin, empty eyes, a synthetic hairline or aggressive smoothing to hide.

GPT Image 2 gave us the strongest technical result. At WaveSpeed's 4K High setting, the pores, iris detail, nose, eyebrows and individual hairs survived close inspection better than anything else. If you need one master portrait that will later become the reference for a longer campaign, paying for a single result at this level is easier to justify than generating dozens of casual images at the same price.

Midjourney produced the face we liked looking at most. The model had a slightly oily finish, yet the freckles, eyes, lips and hair felt deliberately photographed rather than assembled from a checklist. It explains why designers and AI creators still use Midjourney to establish a visual direction or create the original face that another model will later animate and edit.

Ideogram was very close. The subject looked as though she had put on some makeup despite the natural brief, probably helped along by the word “attractive,” but the eyes, hair, resolution and facial detail were excellent. Meta Muse also deserves more attention than we gave it in the first draft: the pores, peach fuzz and fine upper-lip hair were unusually convincing, and the result was clearly stronger than its low level of hype would suggest.

Nano Banana Pro and Nano Banana 2 produced attractive, usable portraits with strong eyes and clean skin detail. We know from longer use that both can do better when the prompt is written specifically for Google's models, but that would have weakened the comparison. Seedream was detailed and pleasant, although it carried the faint CGI finish that often gives Seedream away. Reve understood the person and allowed useful asymmetry, yet its face lacked the fine close-up information of the leaders. Grok and MAI were the weakest for us in this round, though neither produced anything remotely unusable.

Our Test 1 favourites: GPT Image 2 for detail, Midjourney 8.2 for the most attractive photographic result, then Ideogram 4.0. Meta Muse was the pleasant surprise.

Test 2: Exact medical text inside a photographed monitor

For the second prompt, a doctor sat at a hospital workstation while a monitor displayed a fictional patient dashboard. We supplied the hospital name, patient, room, heart rate, oxygen level, next check, navigation tabs, update time and button labels. The screen was placed at a slight angle so the model had to keep the wording readable while fitting it into a physical photograph.

This round reflects a common real problem. You ask for doctors in a hospital, an office worker at a laptop or a designer beside a monitor, and everything seems fine until the background screen is filled with melted letters, repeated numbers and symbols that look like writing from a civilisation nobody has discovered yet. Large poster text has become much easier. Small information inside a photographed interface still reveals which models pay attention beyond the centre of the prompt.

After reviewing the originals again, GPT Image 2 belongs in the top group. It preserved the requested text, built a coherent dashboard and produced a neat hospital scene. Our first notes had partly confused its result with Grok's more generic composition, and the article should correct that rather than protect an earlier ranking.

Seedream 5.0 Pro was also one of our favourites. It kept the important information readable, handled smaller labels better than most and made the scene feel less like a flat website pasted onto a green screen. Midjourney created one of the best photographs, helped by the doctor seen from behind and a bouquet near the workstation, but the small words outside the core requested copy began to melt when enlarged. If every label is important, Midjourney still needs a second pass or manual typography.

Ideogram's first attempt interpreted the monitor vertically, so we removed the word “vertical” from the scene description and repeated the prompt. The corrected result was strong: the monitor orientation worked, the required wording was accurate and the model even added a credible patient-camera panel. The smaller labels that we had not specified still broke down, which shows that “best for text” requires context rather than a trophy it wins forever.

Reve produced a less generic composition than many rivals and understood the relationship between the doctor, screen and dashboard. Grok, Meta Muse and both Nano Banana versions completed the brief, but their compositions felt related, as if the interface had been cut out and placed onto a familiar AI hospital workstation. Nano Banana 2 was better than Pro here.

MAI-Image 2.6 never returned the hospital image. We tried the prompt repeatedly before the test, during it and once more while preparing this revision. A limited preview can fail, but an empty result is still the user's result.

Our Test 2 favourites: GPT Image 2 and Seedream 5.0 Pro for the best mixture of requested text and complete scene; Midjourney for the photograph itself; Ideogram 4.0 close behind after correcting the monitor orientation.

Test 3: Product scale, spatial accuracy and advertising quality

The final prompt asked for a luxury campaign for the fictional label VAREN 92. A man in a charcoal suit stood inside a brutalist villa beside a black reflecting pool, while a smoked-glass fragrance bottle sat on a travertine plinth in the foreground. The bottle needed the exact VAREN 92 label, both hands were requested, and the person, product and room had to share believable light.

We did not provide the bottle's dimensions. That was deliberate, because a human art director should not need to explain that a normal fragrance bottle is not two feet tall. The product was meant to be prominent in the foreground, but its apparent size still had to agree with the man standing behind it. This round exposed the models that followed the composition literally while losing track of the physical relationship between objects.

MAI-Image 2.6 produced our favourite advertisement. The man looked professional, the product had presence without becoming comic and the complete image felt ready for a campaign. Microsoft says 2.6 improved particularly in text rendering and product, branding and commercial design; our one successful ad supports that claim, even though the hospital failure prevents a broad recommendation.

Midjourney was close and once again showed why its style matters. The tailoring, brutalist setting, product finish and lighting looked expensive without requiring us to explain away a generic model or flat composition. Reve and Seedream formed the next group, both giving us good commercial work and a more controlled bottle than several rivals.

GPT Image 2 produced beautiful skin, tailoring and light, but its fragrance bottle looked roughly 50 centimetres tall. Grok's bottle was also large, though the rest of its campaign was realistic and polished. Ideogram understood the brutalist concrete building especially well and kept the bottle more controlled than some, even if its campaign did not have Midjourney's finish.

Meta Muse made a high-quality image and then placed the man so strangely against the black reflecting pool that he appeared to be standing in the water. Both Nano Banana models gave us respectable campaign photography with bottles approaching half the man's height. That is the kind of spatial error people miss when they review the thumbnail and move on.

Our Test 3 favourites: MAI-Image 2.6 and Midjourney 8.2, followed by Reve 2.1 and Seedream 5.0 Pro.

Price and access during our test

Per-image prices and subscriptions are awkward to compare because one service sells a model call, another sells GPU time, and another includes image creation inside a broader AI subscription. The figures below show what we used or what the interface displayed during the August 2026 test. They are evidence of our cost, rather than a promise that every reader will pay the same amount.

Seedream was the cheapest successful paid run we recorded, and it remained near the top in the screen and campaign rounds. Nano Banana 2 was the best 4K value in our captured WaveSpeed settings at $0.14, compared with $0.24 for Nano Banana Pro and $0.72 for GPT Image 2. MAI was free, but limited-preview access and a completely failed round make “best value” a misleading label. Grok's official API currently starts from $0.04 per image for Imagine Image 2.0, while Midjourney begins at $10 per month and sells GPU time rather than individual files. Recheck every live price before publication.

The 10 AI Image Generators, After We Used Them

GPT Image 2: our best text-to-image model, if the price fits

GPT Image 2 won because it was excellent in two rounds and still produced a strong third image with one obvious scale mistake. The close-up face had the finest visible detail, while the hospital dashboard kept the important words correct and looked more like a proper workstation than we initially remembered. The VAREN 92 campaign was polished enough to use once the giant bottle was fixed.

The easiest route is to generate inside ChatGPT, where you can ask for an image, point out a problem and continue the conversation. We produced the highest-detail file through WaveSpeed because its controls exposed 4K resolution and High quality directly. The same kind of image inside ChatGPT looked similar, although the downloaded WaveSpeed result preserved more close detail in our comparison.

At $0.72 for the tested 4K High run, one excellent source portrait is reasonable, while fifty speculative social variations become expensive quickly. OpenAI's safety filters can also interrupt legitimate swimwear, adult fashion and AI-character work, though we found Reve and Ideogram more restrictive during separate experiments.

What we liked

• The strongest pores, eyes, eyebrows and hair in the face test
• Excellent requested text in the hospital dashboard
• Easy conversational generation and editing inside ChatGPT
• High-end people, materials and lighting in advertising work

What bothered us

• $0.72 for the tested 4K High WaveSpeed run
• A fragrance bottle that looked around 50 centimetres tall
• The highest-quality controls were clearer through WaveSpeed than in our ChatGPT test
• Safety filters can stop legitimate revealing-fashion or adult-adjacent work

Who benefits most

GPT Image 2 is the best choice here for a marketer who needs one excellent hero image, a creator building a high-detail master face, or somebody already paying for ChatGPT who values a simple conversation more than dozens of manual sliders. It is less attractive for cheap bulk generation at the highest setting.

Midjourney 8.2: our favourite visual style

Midjourney still has the clearest aesthetic personality in this group. Its results often look as though somebody made an art-direction decision before the generation began, which is why it remains useful for album covers, fashion, campaign concepts, editorial images and the first master portrait of a recurring character.

The website adds to that feeling. The creation feed, personalisation profiles, moodboards, style controls and image discovery make it pleasant to explore ideas rather than stare at an empty prompt box. V8.2 supports native HD generation, and Raw mode helped us reduce the model's default styling during this test.

The hospital image looked among the best at normal size, but Midjourney's weakness appeared as soon as we enlarged the secondary words and watched them melt. Its four-image batch also means a reviewer must decide how to treat the extra outputs; we used the first rather than giving ourselves a hidden choice.

We only buy Midjourney when we need it, and its refund handling has been good in our experience. The official policy is narrower than a casual “easy refunds” promise: the option appears when cancelling only if the account has used fewer than 20 lifetime GPU minutes.

What we liked

• Our favourite balance of photorealism and visual taste
• Excellent fashion, campaign and editorial compositions
• A genuinely enjoyable discovery and creation interface
• Useful personalisation, moodboards, Raw mode and style controls

What bothered us

• Small background text still melts when inspected
• Every prompt returns four candidates, which complicates a strict first-output comparison
• Recurring-character and reference workflows are less direct than Nano Banana's conversational editing
• The cheapest plan gives 200 Fast GPU minutes and no unlimited Relax generation

Who benefits most

Midjourney suits designers, musicians, publishers and marketers who care first about how an image feels. It is our recommendation for album art, editorial concepts, high-end campaign direction and source portraits, while text-heavy UI mockups still belong elsewhere.

Seedream 5.0 Pro: the best value and one of the strongest practical models

Seedream 5.0 Pro handled every test well and cost $0.09 for the 2K WaveSpeed run, which makes it difficult to ignore. Its hospital result was one of the few that kept the supplied words, smaller interface material and photographed setting in reasonable balance. The fragrance campaign also finished close to MAI, Midjourney and Reve.

ByteDance describes Seedream 5.0 Pro as a multimodal generation model aimed at design, information-heavy layouts and professional production, and that direction was visible in the screen test. It also feels more open than several competitors when generating swimwear, body types or bolder advertising concepts. There are boundaries, but normal adult fashion does not immediately turn into an argument with the filter.

The recognisable Seedream finish remains. Faces, edge lighting and surfaces can acquire a slightly CGI quality, even when the composition and details are correct. In our notes we sometimes called it “2.5D,” but that describes the appearance of our results, not the model's architecture; ByteDance presents Seedream 5.0 Pro as an image generation model and does not make that 2.5D claim on its official page. In a row of ten images, we could often guess which one came from Seedream. We also saw spatial confusion in an earlier tennis source-image test, where the model struggled to place the player properly on court, so the good VAREN 92 result should not be treated as proof that it always understands position.

What we liked

• The best price-to-result balance in our recorded paid tests
• Excellent hospital screen and strong campaign image
• Quick, practical and good at following ordinary prompts
• Fewer frustrating restrictions for normal fashion and advertising work

What bothered us

• A visible CGI finish can weaken pure photorealism
• Small unrequested interface text still degrades
• We have seen spatial placement errors in other work

Who benefits most

Seedream is the sensible choice for marketers and creators producing many advertisements, designed scenes and text-containing images without paying GPT Image 2 prices. If the brief demands a face that nobody can identify as AI at close range, GPT Image 2, Midjourney or Ideogram gave us stronger evidence.

Ideogram 4.0: excellent text and one of our best faces

Ideogram has outgrown the description that follows it around every comparison page. Yes, it remains very good at putting requested words into an image, but its close-up portrait was among the strongest results in the entire article. The eyes, hair and skin detail competed with GPT Image 2 and Midjourney, even though the model added a slightly made-up beauty finish that the prompt did not request.

The hospital test was more complicated and therefore more useful. Ideogram repeatedly interpreted the word “vertical” as an instruction to rotate the monitor, so we removed that scene wording and tried again. The corrected screen carried the supplied information accurately and added a plausible camera view of the patient. The tiny labels we never specified still degraded, proving that even Ideogram cannot be left alone with every piece of background typography.

Its official site now feels closer to a complete creative platform, with a feed, generation controls, Canvas and editing tools rather than a single text box. In the fragrance test, it interpreted the brutalist concrete villa especially well and kept the bottle more controlled than many rivals, although the final advertisement lacked Midjourney's finish.

What we liked

• Excellent close-up photorealism, especially eyes and hair
• One of the best models for supplied words inside an image
• Strong understanding of architecture and materials
• A useful official workspace with Canvas and editing tools

What bothered us

• The portrait looked more made-up than requested
• It became fixated on a vertical monitor until we adjusted the scene wording
• Unspecified tiny labels still turned into broken writing
• Separate tests found its safety filters restrictive for revealing fashion and bikini advertising

Who benefits most

Ideogram suits designers making posters, packaging, menus, social graphics, architecture concepts and advertisements where the wording must survive. It is also a serious option for photorealistic source portraits, which was the part we did not expect before this test.

Reve 2.1: the best editor and a dependable all-round alternative

Reve understood our prompts well. The fragrance bottle did not become absurd, the hospital scene was less generic than most, and the advertisement felt usable, but its close-up face lacked the pores, peach fuzz and microscopic detail already offered by GPT Image 2, Midjourney, Ideogram and Meta Muse. That gap kept it out of first place.

The official Reve interface gives the model a stronger argument than the three raw images alone. Its Annotate Anything editor includes three tools: Spotlight marks a region to change, Draw turns a rough sketch into a described object, and Select snaps to an existing object so it can be moved, resized, replaced or removed. You can also add specific objects as a collage. For interior design, product mockups and advertisements, pointing to the exact place you want changed is far easier than writing another paragraph and hoping the model understands “the lamp on the left, but not that other lamp.”

The site itself is clean and easy to understand, especially compared with platforms that hide useful controls behind layers of technical language. Our separate attempt to use face and body references for bikini advertising ran into strict filters, so it would not replace Nano Banana or Seedream for our recurring-character work.

What we liked

• It understood all three prompts and kept object scale under control
• A less generic hospital scene than most rivals
• Spotlight, Draw, Select and collage editing on the official site
• Particularly convincing for interiors, product mockups and advertising layouts

What bothered us

• Close-up facial detail was behind the leaders
• It did not win any of the three raw-generation rounds
• Strict filters limited our bikini and adult-fashion reference test
• The tested WaveSpeed run displayed $0.28, more than three times Seedream's price

Who benefits most

Reve is a strong choice for interior designers, property marketers, graphic designers and ad teams who want to mark changes directly on the image. It is also good for UGC-style concepts and product scenes, provided the campaign stays within its safety boundaries. Someone looking only for the most detailed human face can spend the money elsewhere.

MAI-Image 2.6 Preview: the best advertisement and the worst reliability

MAI-Image 2.6 gave us the most contradictory set of results. Its face was generic and closer to Grok than to the photorealism leaders, its hospital generation never arrived, and its VAREN 92 campaign may have been the best single advertisement in the test.

Microsoft launched MAI-Image 2.6 as a limited preview in MAI Playground, with access through Microsoft Foundry still private at the time of writing. The company highlights gains in text rendering and product, branding and commercial design. Our advertisement supports the commercial-design part; the failed medical screen prevents us from confirming the text claim ourselves.

There is no reason to hide the failure because the model is new. We tried the hospital request around ten times across our preparation and final checks, and it continued to fail. A preview can improve quickly, but readers deciding what works today still need a backup.

What we liked

• Our favourite complete fragrance advertisement
• Professional model, product placement and campaign styling
• Free access in MAI Playground during our test
• A promising direction for product and branding work

What bothered us

• No hospital result after repeated attempts
• An ordinary close-up face beside the leading models
• Limited preview access through Microsoft's own playground
• No manual quality controls available in our test

Who benefits most

MAI is worth trying for product campaigns, branded graphics and commercial concepts while the preview remains free. It is too early to build a dependable workflow around it, and we would keep GPT Image 2, Midjourney, Seedream or Ideogram ready when a deadline matters.

Meta Muse Image: far better facial detail than we expected

We are not heavy Meta users, so Muse Image entered the test with very little loyalty from us. Its close-up face changed the mood quickly. The pores, eye detail, peach fuzz and fine upper-lip hair felt human, and the result was stronger than Nano Banana, Grok and MAI in that round.

The remaining tests were more ordinary. The hospital scene belonged to the same broad family of generic AI workstation compositions as Grok and the Nano Bananas. Its fragrance image had excellent quality, yet the relationship between the model and the reflecting pool was confused enough to make him look as if he were standing in the water, while the bottle scale remained too large.

Meta's official version is free inside Meta AI and supports presets, photo combination and sketch-based changes. Access is convenient for people already living in Meta's apps, although it is less attractive if opening a Meta product is already something you avoid.

What we liked

• Excellent skin detail, peach fuzz and natural facial texture
• A much stronger portrait than its modest reputation suggested
• Free access during our test
• Simple sketch editing and photo-combination tools inside Meta AI

What bothered us

• Generic hospital composition
• Confused pool placement in the fragrance advertisement
• Oversized product scale
• The main access route is Meta AI

Who benefits most

Muse is good for casual creators and social teams already using Meta who want strong faces and quick edits without another subscription. For complete commercial scenes, our test gave stronger evidence for GPT Image 2, Midjourney, Seedream, Ideogram and Reve.

Grok Imagine Image 2.0: the capable average choice with excellent controls

Grok produced competent images in every round and never gave us the strongest one. That sounds dismissive, but there is a real market for a tool that is quick, fairly cheap, easy to access and good enough for everyday requests.

The face had decent eyes and lips, although the skin carried a generic applied-grain texture beside GPT Image 2, Ideogram and Meta Muse. Its hospital workstation passed the requested text but looked more like familiar AI stock. The VAREN 92 campaign was the strongest of its three outputs, with a realistic man, polished setting and a bottle that was large without reaching Nano Banana levels.

The editing controls surprised us more than the raw results. Grok can detect objects, select parts of an image and continue editing inside a practical interface. Imagine Image 2.0 also supports generation and editing through the xAI API, where official pricing currently begins at $0.04 per image depending on resolution.

What we liked

• Fine, usable results across all three prompts
• Better object selection and editing controls than we expected
• Stronger fragrance campaign than its face or hospital scene
• Low official API entry price

What bothered us

• Generic close-up skin and hospital composition
• No category-winning image
• The raw output did not match the personality of the interface

Who benefits most

Grok suits somebody who wants one straightforward place to generate, select an object and make changes without learning a specialist design tool. It is a good daily option for social content and simple marketing work, while demanding hero images still justify one of the leaders.

Nano Banana Pro: still our choice for recurring characters

Nano Banana Pro looked ordinary in this text-to-image test, despite remaining one of the models we use most. We choose it for reference handling rather than a blind first prompt.

When we build a recurring character, we can provide a face, body and scene reference, ask for a new composition, then continue changing the same image while preserving identity. We show that full process in our Nano Banana consistent-character guide. Google says Nano Banana Pro can blend up to 14 input images and maintain the resemblance of up to five people, which is much closer to our advertising workflow than the three clean prompts used here.

Its close-up face was attractive and detailed, but GPT Image 2, Midjourney, Ideogram and Meta Muse were stronger. Nano Banana 2 beat it on the hospital screen, and the fragrance bottle was comically oversized. Pro remains better than Nano Banana 2 for the highest-quality photorealistic reference work in our experience, though that advantage did not dominate this particular test.

The WaveSpeed panel displayed $0.24 for a 4K PNG run. That is far below the $0.72 GPT Image 2 setting we captured, although it is still $0.10 more than Nano Banana 2 at the same stated resolution. Its value depends on whether the project needs Pro's heavier reference work or simply a fast, clean edit.

What we liked

• Excellent identity preservation with several reference images
• Strong photorealism when prompted specifically for Google's model
• Good repeated editing while keeping the same person and scene
• Up to 4K output and a wide range of Google access points
• Practical safety filters for normal character and advertising work

What bothered us

• An average first text-to-image showing beside newer rivals
• Nano Banana 2 produced the better hospital result
• A giant fragrance bottle and weak product-scale judgment
• The result can have a dry, electric skin finish

Who benefits most

Nano Banana Pro remains our recommendation for recurring AI characters, reference-heavy advertising, brand consistency and campaigns where the same person must survive many scenes. A user generating one image from one prompt has stronger choices above.

Nano Banana 2: the cheaper 4K workhorse for fast editing

Nano Banana 2 combines much of Google's advanced image work with the speed of a Flash model. That makes it useful when you already have an image and want to keep adjusting the clothing, pose, background or small objects without waiting or paying for the heavier model each time.

The face was good and the hospital screen beat Nano Banana Pro, although neither result separated itself from the group. The advertisement repeated the enormous bottle problem. In a text-to-image comparison, it landed near the bottom because other models gave us better first images; in a fast editing comparison, it would probably move much higher.

Google positions Nano Banana 2 around subject consistency, fast edits, world knowledge and production use at scale. That description matches our experience more closely than calling it the most photorealistic generator from this test.

WaveSpeed displayed $0.14 for the 4K PNG setting, with optional Web Search and Image Search controls available in the panel but disabled for our comparable run. That made Nano Banana 2 the lowest recorded 4K price in this test, $0.10 below Nano Banana Pro and $0.58 below GPT Image 2. The cheaper model is not automatically the weaker buy: for repeated edits where Pro's extra reference quality is unnecessary, Nano Banana 2 is often the more sensible tool.

What we liked

• Fast repeated edits and good subject consistency
• Better hospital result than Nano Banana Pro
• Useful for high-volume reference and iteration work
• Easy access across Google's products and third-party platforms
• The best 4K price among the paid runs we captured
• Practical filters for ordinary fashion and advertising prompts

What bothered us

• No result strong enough to win a round
• Generic hospital presentation beside Seedream and Reve
• Poor fragrance-bottle scale
• Less close-up facial detail than the leaders

Who benefits most

Nano Banana 2 suits creators who already have a source image and want many quick, controlled variations. For one expensive hero portrait, choose GPT Image 2, Midjourney or Ideogram; for a recurring character with several references, we still lean toward Pro.

Final verdict: what we would use in practice

GPT Image 2 wins our controlled text-to-image comparison because it produced the strongest close-up face, one of the best hospital screens and a high-end advertisement with one obvious scale mistake. We would use it for a hero image, a master character portrait or any project where paying for one excellent 4K result is cheaper than repairing a weaker file.

Midjourney remains the tool we would open for an album cover, fashion concept, feature image or campaign direction, because its results have visual taste before editing. Seedream 5.0 Pro delivered the cheapest successful paid generation we recorded at $0.09 for 2K, while Nano Banana 2 was our best recorded 4K value at $0.14. Ideogram 4.0 is the safest recommendation when supplied words need to remain readable and the surrounding image still needs to look good.

Reve 2.1 becomes more interesting after generation than it was in the face test. Its annotation tools are ideal for interiors, product arrangements and visual edits that are easier to point at than describe. MAI-Image 2.6 produced the best advertisement and still failed too often to trust. Meta Muse and Grok are better than many people assume, particularly if their existing ecosystems already suit you.

Nano Banana Pro and Nano Banana 2 need the clearest caveat. Their middle-to-low placement does not match how often we use them, because our daily work involves recurring characters, body and face references, repeated edits and identity preservation. For clean text-to-image, newer rivals beat them here. For turning three reference images into a continuing campaign, Nano Banana Pro remains one of our first choices.

Choose according to the mistake that would ruin the image. When one wrong word kills it, start with Ideogram, GPT Image 2 or Seedream. Nano Banana Pro is better suited to keeping the same person recognisable through twenty scenes, while Midjourney is where we would establish a visual direction. For regular paid production, Seedream offered the cheapest strong 2K result we measured, while Nano Banana 2 made more financial sense when we specifically wanted 4K output and fast follow-up edits.

If the finished still needs to move, our AI image-to-video comparison tests Seedance, Kling, Veo and Wan on the same source material.

Frequently asked questions

Why can the same model look different on its official site and WaveSpeed?

The model may be the same while the wrapper changes default prompt rewriting, resolution, quality steps, aspect-ratio handling, compression and available editing features. We used WaveSpeed for controlled high-quality outputs where practical, then visited official products separately to judge their interfaces. A result from an aggregator should not be used to review every part of the official platform.

Should each AI image generator receive a specially optimised prompt?

Use model-specific prompts when trying to get the best production result, but avoid them in a direct comparison unless every model receives the same level of optimisation. We kept the underlying briefs equal and adapted only the formatting, because giving Nano Banana a highly tuned reference workflow while sending Ideogram a generic sentence would measure our prompting effort more than the models. Our separate Nano Banana prompting guide shows which extra instructions helped when comparison fairness was no longer the point.

Is a subscription cheaper than paying per image?

It depends on volume and how many results you discard. Midjourney's $10 Basic plan is cheaper than paying $0.72 repeatedly for GPT Image 2 at 4K High, but GPT may be cheaper when one excellent image replaces several failed batches. Record how many finished images you keep, rather than comparing the biggest number printed on two pricing pages.

How should a beginner test an AI image generator before subscribing?

Prepare three prompts based on your own work: one easy image you create frequently, one precision test containing text or several objects, and one edit using a real reference image. Keep the first output, count the retries and judge the downloaded file at full size. A gallery of company-selected examples will tell you what is possible; it will not tell you how often you will get there.

Why did we keep the first output when users normally reroll?

Keeping the first output gives every model one fair chance and exposes how much repair a normal request may need. It does not prove a model's maximum potential. That is why we discuss editing and model-specific workflows separately instead of pretending this single test covers every way to use the product.

Do all AI-generated images contain a visible watermark?

No. Watermarking depends on the provider and access route. Google says Nano Banana images include SynthID and newer outputs may also include C2PA Content Credentials, but these signals are not necessarily a visible logo across the picture. Check the current platform terms and file metadata if disclosure or provenance matters to the project.

Can safety filters affect normal advertising work?

Yes. During separate reference tests, revealing swimwear and bikini advertising were more difficult in Reve and Ideogram, while both Nano Banana models were more practical for ordinary character, fashion and advertising work. Seedream was the least restrictive of these ten in our experiments and gave us more room than either Nano Banana model, although none should be described as having no filters. Policies change, and a failed prompt does not mean every similar image is prohibited, so test the exact kind of fashion, lingerie or adult-adjacent advertising you plan to produce before buying a long subscription.