Has ChatGPT's image generation evolved super-fast? Is it getting out of hand? Plus, leaked information!
I will be honest.
I am someone who uses NanoBanana2 on a daily basis. I fell in love with Gemini's image generation and have been using it to its full potential to create eye-catching images.
That is exactly why I hesitated to write about this.
But,I cannot lie.
ChatGPT's image generation has reached a truly insane level. With the arrival of the new "GPT Image 1.5" model, the power balance of AI image generation is about to change significantly. In terms of text accuracy, speed, ease of use, and price, it has reached a level that makes you think, "Isn't ChatGPT enough now?"
In this article, I will thoroughly explain the full picture of GPT Image 1.5, along with leaked information. I will cover what has changed, what the actual quality is like, and how it compares to NanoBanana and Midjourney. I will provide it in a format that you, the readers, can try immediately, complete with sample prompts.
I will also answer the question of whether it can be used with the Go plan ($8/month), so please be sure to read until the end.
What is GPT Image 1.5? ── The full picture of the new model
First, let's organize what kind of model GPT Image 1.5 is.
It is the latest image generation model officially released by OpenAI, and it is a significant upgrade from the conventional DALL-E 3 and GPT-4o image generation features.
It has also been widely announced on the official blog (https://openai.com/index/introducing-4o-image-generation/), which shows how much effort OpenAI is putting into this model.
To sum up its biggest feature in one phrase, it is"an AI image generator that can write text accurately".
What was the weakness of previous AI image generators? It was that they "could not write text properly." Even in English, spelling errors occurred frequently, and in Japanese, it almost always output meaningless symbols that looked like garbled text.
GPT Image 1.5 has dramatically improved this fatal weakness. English text rendering is now at a level that can be called almost perfect. And the accuracy of Japanese text has also improved to a degree unimaginable from previous models.
Furthermore, the generation speed has been increased by up to 4 times. The waiting time from entering a prompt to the image appearing has been significantly reduced. This has a huge impact on practical use.
What has changed? ── 5 points of evolution
What has changed with GPT Image 1.5? Let's look at 5 specific points of evolution.
Evolution 1: Dramatic improvement in text rendering accuracy
This is the biggest game changer.
With conventional AI image generators, if you tried to put text into an image, something almost certainly went wrong. The spelling was wrong, the characters were distorted, it was unreadable, or it output something completely different from what was specified.
In GPT Image 1.5, English text rendering has become almost perfect. Banner taglines, poster headings, and images with text for social media posts—these are now output accurately as specified in your prompts.
Regarding Japanese text, it has also evolved to a level that is on a different dimension compared to previous models. While it is not yet 100% perfect, Japanese text including hiragana, katakana, and kanji can now be placed within images with considerable accuracy. This is truly surprising.
Evolution 2: Up to 4x faster speed
The fact that the speed has increased fourfold has an impact that goes beyond just the numbers.
If you actually use AI image generation for work, you know that what used to take 30 seconds to a minute to generate a single image will now come out in under 10 seconds.
If you think, 'That's not quite right,' you can redo it immediately. You can try many versions while fine-tuning the prompt. This level of comfort fundamentally changes the productivity of creative work.
Especially for those who need to create a large number of blog eye-catching images or social media posts, this speed improvement alone makes it worth switching.
Evolution 3: More accurate editing and consistent details
Another major evolution of GPT Image 1.5 is the improvement in editing accuracy.
When you instruct the generated image to 'change only this part,' it changes only the specified area while maintaining other elements such as lighting, composition, and the appearance of the person.
Previously, even if you instructed it to 'change only the background color,' the person's face would often change or the overall atmosphere would collapse. In GPT Image 1.5, such unintended changes are significantly suppressed.
This has made the workflow of 'generating a base image and then repeatedly fine-tuning it to increase perfection' practical. Isn't this an update that designers will be particularly happy about?
Evolution 4: Addition of a dedicated 'Images' experience
A dedicated 'Images' experience has been added to the ChatGPT sidebar.
This is quietly convenient. Preset filters and trending prompts are provided, which significantly lowers the barrier to image generation.
Even for beginners who don't know what kind of prompts to write, you can now generate high-quality images just by selecting a preset and fine-tuning it.
The trending prompts feature templates for generating images in styles that are currently buzzing. You can now create 'that image' you saw on social media yourself. This is a very welcome feature for those who manage social media accounts.
Evolution 5: One-time likeness upload
This is the new feature that personally surprised me the most.
You can now upload and register your own face photo, and then generate images using that face as many times as you like.
For example, you can generate images of yourself as an "astronaut," "samurai," or "fantasy RPG character" one after another. And it does this while perfectly maintaining your facial features.
If you want to use your face for YouTube thumbnails but find it tedious to take photos every time, or if you want to create various versions of your profile picture, this feature perfectly meets those needs.
From a privacy perspective, it is set to "one-time," meaning the uploaded facial data is not retained after the session ends. This consideration is also a nice touch.
I actually generated images using sample prompts
The images in this article were quickly generated and pasted using "Dokodemo AI-kun".
Now, let's get to the main point. Let's verify the capabilities of GPT Image 1.5 with specific prompts.
You can copy and paste the following five prompts directly into ChatGPT to use them. Please try them out for yourself. Each one is designed with a different genre and style to showcase the diverse capabilities of GPT Image 1.5.
Prompt 1: Anime-style eye-catching image
First is an anime-style eye-catching image. This also serves as a test for Japanese text accuracy.
日本のアニメ風のアイキャッチ画像。桜の花びらが舞う中、制服姿の女子高生が夕焼けの空を見上げている。画面中央に太いゴシック体で「新生活の始まり」と書かれている。aspect ratio 16:9The key to this prompt is overlaying the Japanese text "The Start of a New Life" onto an anime-style illustration. In traditional AI image generation, combining anime-style illustrations with Japanese text was a very difficult task. It will be interesting to see how well GPT Image 1.5 can reproduce this.
Cherry blossom petals, sunset, school uniforms. The reproduction of these "Japanese elements" is also a highlight. Overseas image generation AIs often fail to correctly understand the design of Japanese school uniforms, but GPT Image 1.5 reproduces them quite accurately.
Prompt 2: Business-style portrait
Next is a professional business-style portrait photo.
プロの写真家が撮影したようなビジネスポートレート。スーツを着た日本人男性がオフィスの窓際で腕を組んでカメラを見つめている。画面左上に白い文字で「成功する人の5つの習慣」と配置。背景は大きくボケている。aspect ratio 16:9In this prompt, the instruction "as if taken by a professional photographer" is the key. It tests whether the lighting, depth of field (bokeh effect), and composition are realistic as a photograph.
Business-style eye-catching images are one of the most in-demand genres for blog and note articles. Until now, you had to either buy stock photos or take them yourself. With GPT Image 1.5, you can get high-quality business images with just one prompt. And they even include text.
Prompt 3: Food photography
Food photography is one of the genres where the capabilities of AI image generation are most easily understood.
料理雑誌の表紙のようなフードフォト。湯気が立ち上る美しいラーメンのクローズアップ。チャーシュー、味玉、ネギが美しく盛り付けられている。画面上部に筆文字風で「至高の一杯」と書かれている。aspect ratio 16:9What is important in food photography is whether it 'looks delicious.' The expression of steam, the glaze on the chashu, the cross-section of the seasoned egg, and the freshness of the green onions. Let's see how well these details are reproduced.
Furthermore, the specification of 'brush-style text' is also a point of interest. We will see how well GPT Image 1.5 responds to font style specifications. We will also carefully check whether it outputs tasteful characters that look like they were written with a brush, which is clearly different from a Gothic typeface.
Prompt 4: Cyberpunk-style near-future city
From here on, we will use prompts that emphasize artistry.
サイバーパンク風の近未来都市の夜景。雨に濡れた路面にネオンサインが反射している。画面中央に発光するグリッチ文字で「DIGITAL TOKYO 2077」と配置。aspect ratio 16:9Cyberpunk-style images are a genre that Midjourney excels at. This comparison is very interesting to see how close GPT Image 1.5 can get to Midjourney's artistry.
Please also note that a special style specification called 'glitch text' is included. This is a higher-level difficulty prompt that involves not just placing text, but giving the text itself a style. The highlights are whether the neon reflections, the texture of the rain, and the depth of the city harmonize as a single picture.
Prompt 5: Japanese text accuracy test
Finally, this is a prompt that purely tests the accuracy of Japanese text.
白い背景に、以下の日本語テキストだけを美しいフォントで配置した画像。「人工知能が変える、私たちの未来」。フォントは太いゴシック体、色は黒、中央配置。aspect ratio 16:9This prompt is intentionally simple. The background is white, and the text is black. By eliminating all unnecessary elements, we will verify purely how accurately the Japanese text is output.
The sentence 'Artificial intelligence changes our future' contains a mix of hiragana, katakana, kanji, and punctuation marks. Whether it can output all of this accurately can be said to be the cutting-edge test for current AI image generation.
With conventional models, problems such as kanji breaking down, incorrect punctuation placement, or characters that were not specified appearing frequently occurred. Please try it yourself to see how well GPT Image 1.5 can clear this test.
Can it be used with the Go plan?
Now, I will answer the question that many of you are probably wondering about.
Conclusion: It can be used with the Go plan ($8/month).
Moreover, compared to the free version, about 10 times the image generation quota is available.
The current ChatGPT plan structure and image generation usage quotas are summarized as follows.
Free: You can use GPT Image 1.5, but the generation quota is quite limited. If you just want to 'try it out a little,' the free version is fine, but it is not enough for full-scale use.
Go ($8/month): About 10 times the image generation limit of the free version. This is the most cost-effective plan for those who want to generate images daily. I am also subscribed to this plan, and it provides more than enough capacity for creating eye-catching images for blogs or notes.
Plus: An even higher generation limit than the Go plan. Recommended for those who generate images frequently or want to fully utilize other ChatGPT features beyond image generation.
Pro: The maximum generation limit. For professional creators and heavy users. This is the only plan for those who want to use it extensively without worrying about generation limits.
Team/Enterprise: Scheduled to be supported soon. If you are a company considering team use, please wait a little longer.
Honestly, it is shocking that you can get such a high-level image generation experience with the $8/month Go plan. Considering that using NanoBanana2 requires the $19.99/month Gemini Pro subscription, ChatGPT has an overwhelming advantage in terms of price.
I think the smartest way to use it is to 'try it for free first, and upgrade to the Go plan if you like it'.
Honest comparison with NanoBanana2
I am someone who has used NanoBanana2 extensively. That is why I will write thoroughly honestly here. This is a real, no-holds-barred comparison.
Text rendering: ChatGPT (GPT Image 1.5) has the advantage
I have to admit this. The text rendering accuracy of GPT Image 1.5 is currently among the top class of all image generation AIs. English text is almost perfect. Japanese has also evolved to a level incomparable to previous models.
NanoBanana can also output quite accurate text if you use the right prompts, but it feels a step behind the stability of GPT Image 1.5. Especially regarding English text, GPT Image 1.5 is clearly superior.
Japanese text: NanoBanana still has a slight advantage, but ChatGPT is closing in fast
Limited to Japanese, NanoBanana2 still has a slight lead. I get the impression that the stability of hiragana and katakana is slightly higher in NanoBanana2.
However, that gap is closing rapidly. The Japanese accuracy of GPT Image 1.5 is equal to or better than NanoBanana2 from a few months ago. NanoBanana2 continues to evolve, but the speed at which ChatGPT is catching up is tremendous.
Frankly speaking, I feel that this gap could be reversed within a few months.
Artistry and stylistic diversity: Almost equal
Anime style, photo style, illustration style, watercolor style, oil painting style. After comparing the output quality in various styles, they are almost equal at this moment.
NanoBanana2 has strengths in its unique sense of color and texture expression, while GPT Image 1.5 has strengths in the accuracy of composition and lighting. It is more a matter of preference than which one is 'better'.
Editing features: NanoBanana has the advantage
This is an area where NanoBanana2 clearly leads.
NanoBanana2 (Gemini) features advanced editing capabilities such as multi-turn editing, style transfer, and image blending. You can give instructions like 'Apply the style of this image to another' or 'Merge these two images,' which ChatGPT cannot achieve at the same level (at least for now).
The editing features of GPT Image 1.5 have also been significantly improved, but compared to the diverse editing options of NanoBanana2, there are still areas where it hasn't caught up.
Realism: NanoBanana has the advantage
NanoBanana2 is a step ahead in generating photorealistic images.
In particular, the texture of human skin, the representation of individual strands of hair, and the subtle gradients of light and shadow. In these details, NanoBanana2 still surpasses GPT Image 1.5.
If you need images at a level that are 'indistinguishable from real photos,' like stock photos, NanoBanana2 is often the more suitable choice.
Speed: ChatGPT is overwhelmingly faster
This is ChatGPT's exclusive domain. The up to 4x speed increase is no joke.
While it takes 30 seconds to a minute to generate one image with NanoBanana2, GPT Image 1.5 outputs it in around 10 seconds. This difference might not matter for one or two images, but it becomes an overwhelming difference when generating 10 or 20.
When you are writing a blog or a note and think, 'Oh, I want an image like this here,' you can get the image without any waiting time. Once you experience this, you can't go back.
Price: ChatGPT is overwhelmingly cheaper
ChatGPT's Go plan is $8 per month. To use NanoBanana2, you need the $19.99 per month Gemini Pro plan.
The price difference is about 2.5 times. Moreover, ChatGPT allows you to use all other features (text generation, code creation, data analysis, etc.) as well. In terms of pure cost-performance, ChatGPT wins.
This is the conclusion I have honestly reached after using NanoBanana2 extensively. We have no choice but to accept the facts as they are.
Comparison with Midjourney
Since we're at it, let's also compare it with another major player, Midjourney.
Artistry and Creativity: Midjourney is the strongest
From the perspective of pure artistry, aesthetic sense, and creativity, Midjourney remains the strongest.
The images created by Midjourney have a 'flavor' that other AIs cannot produce. The unique use of light, the depth of color, and the sense of composition. It consistently outputs quality that would make professional illustrators and concept artists go 'wow'.
In genres such as art posters, concept art, and fantasy illustrations, it is safe to say that no AI exists yet that can surpass Midjourney.
Text Rendering: ChatGPT has an overwhelming advantage
On the other hand, ChatGPT wins by a landslide when it comes to text accuracy.
While Midjourney is highly capable of generating beautiful images, it is honestly still weak regarding text precision. You might try to write "WELCOME" and end up with "WELCMOE". As for Japanese, it is at a level where you could say it is almost completely unsupported.
If you want to create images with text (banners, thumbnails, eye-catching images, etc.), ChatGPT is the only choice.
Practicality: ChatGPT has the advantage
Midjourney requires operation from a dedicated Discord server or web app, but with ChatGPT, you just give instructions via chat.
"I want an image like this" -> generate -> "Do a little more like this" -> edit -> complete. The fact that this entire flow is completed within the chat is a huge advantage in terms of practicality.
Midjourney is a tool for "creating art," while ChatGPT is a tool for "quickly creating practical images." I get the impression that this division of roles has become much clearer.
Price: ChatGPT is cheaper
Midjourney's cheapest plan is $10 per month, while ChatGPT's Go plan is $8 per month. The difference is small, but considering that ChatGPT is also packed with features other than image generation, ChatGPT wins in terms of overall cost-performance.
What about Japanese text accuracy? ── Comparison with the past
Here, let's delve a little deeper into the accuracy of Japanese text.
The problems with Japanese text in conventional AI image generation were broadly divided into the following four categories.
Problem 1: Garbled characters
The specified Japanese text changes into completely different characters or symbols. This was the most serious problem. Even if you specified "Konnichiwa," it often output Chinese kanji or meaningless symbols.
Problem 2: Missing characters
Part of the specified text goes missing. "Shin-seikatsu no hajimari" might become "Shin-seikatsu no haji," or "hajimari" might disappear.
Problem 3: Character order is swapped
The order of characters is shuffled, such as "Jinko-chino" becoming "Chijinko-no".
Problem 4: Ignoring font styles
Even if you specify "Gothic style" or "brush-writing style," it is not reflected at all. Everything is output in the same font.
In GPT Image 1.5, these problems have been dramatically improved.
If you ask if they have been completely resolved, honestly, it is still not 100%. Especially when including long sentences (15 characters or more) or complex kanji (like "Bara" or "Utsu"), errors can still occur.
However, for short text of about 5 to 10 characters (like catchphrases used for blog thumbnails), it has become possible to output accurately with a high probability. My experience is that Japanese text is displayed correctly with 80% to 90% accuracy.
Considering this is from the previous model's '20% to 30%', this is truly a dramatic advancement. It can be said that the dream of generating images containing Japanese text with AI has finally reached a practical level.
However, there is an important trick. To maximize the accuracy of Japanese text, please keep the following points in mind.
Tip 1: Keep text short
About 5 to 10 characters is most stable. The longer it gets, the more the accuracy tends to drop.
Tip 2: Clearly specify the font style
Specifying things concretely like 'Gothic,' 'Mincho,' or 'brush-style' increases the probability of it being reflected.
Tip 3: Clearly specify text placement
Giving concrete instructions on placement, such as 'in the center of the screen,' 'at the top of the screen,' or 'in the top left,' makes it easier for the text to be placed where you intended.
Tip 4: Retry if it doesn't work
Thanks to the 4x speed increase, if you think 'this is a bit off,' you can retry immediately. If you try 2 or 3 times, you should almost certainly get a satisfying result.
A sincere impression from the author who has used NanoBanana to the fullest
Now, those who have read this far probably have a vague feeling.
'Isn't this person praising a rival to their own product?'
Yes. That is correct.
Let me be honest. The arrival of GPT Image 1.5 had quite an impact on me, as someone who has loved using NanoBanana. There were many moments where I thought, 'Hasn't this surpassed NanoBanana?'
Especially in the accuracy, speed, and cost-performance of text rendering. In these three areas, GPT Image 1.5 clearly outperforms NanoBanana. To be frank, it is shocking that images of this quality can be generated with the $8/month Go plan.
That is exactly why I wrote this article. I believe that being honest with you, the readers, even if the information is disadvantageous to my own product, is my sincerity as a content creator.
However, there is one thing I want to emphasize here.
The NanoBanana 2 prompt collection has not become worthless.
This is because NanoBanana 2 has its own strengths. High realism, multi-turn editing, style transfer, and image blending. These features are not yet available in GPT Image 1.5 (or cannot be realized at the same level).
Also, the way of writing prompts itself is applicable even if the tool changes. The 'skill to give precise instructions to AI' learned from the NanoBanana 2 prompt collection can be applied directly to ChatGPT's image generation.
That said, if asked 'What do you recommend to someone starting image generation AI now?', I would honestly answer, 'Please start with ChatGPT's Go plan first.' It is a fact that the balance of text accuracy, speed, and cost-performance is the best at $8 per month.
On top of that, for those who want more realistic images or want to do more advanced editing, I recommend NanoBanana 2. Using tools according to their respective strengths is the smartest way to use them.
Conclusion: ChatGPT's image generation has reached a level where 'there is no reason not to use it'
Based on the verification so far, I will state my conclusion.
ChatGPT's GPT Image 1.5 has reached a level where there is 'no reason not to use it'.
Let's reorganize the reasons for this.
1. Can write text accurately
The 'inability to write text' problem, which was the biggest weakness of AI image generation, has been almost completely resolved. English is nearly perfect, and Japanese has reached a practical level. With this alone, you can now cover all uses for images with text, such as banners, thumbnails, eye-catching images, posters, and flyers.
2. Fast
Up to 4x faster. Images are output in about 10 seconds after entering a prompt. If you think 'it's a bit off,' you can retry immediately. This speed fundamentally changes the productivity of creative work.
3. Cheap
At $8 per month for the Go plan, you get 10 times the generation quota of the free version. It is the cheapest option compared to NanoBanana2's Gemini Pro ($19.99/month) or Midjourney ($10/month). Plus, you can fully use other ChatGPT features besides image generation.
4. Easy to use
Instructions via chat -> generation -> editing. Everything is completed within ChatGPT. There is no need to learn how to use new tools. If you use ChatGPT regularly, you can start generating images right away.
5. Smart editing
Change only the parts you want to change while maintaining other elements. Now that this 'smart editing' has reached a practical level, a professional workflow of 'generation -> fine-tuning -> completion' has become possible.
6. Rich in new features
New features that significantly improve the user experience, such as the dedicated Images experience (preset filters, trending prompts) and one-time likeness uploads, are being added one after another.
Of course, ChatGPT is not the best at everything. There are times when Midjourney is better for artistry, and NanoBanana2 is better for realism and advanced editing.
However, when looking at 'overall capability', I can state with certainty that ChatGPT's GPT Image 1.5 is the most balanced image generation AI at the moment.
I strongly recommend it especially to the following people:
・Those who want to create eye-catching images for blogs or notes
・Those who want to add text to SNS posts
・Those who want to create their own YouTube thumbnails
・Those who want to quickly create advertising banners or flyers
・Those who are using AI image generation for the first time
・Those who prioritize cost-performance
First, try it with the free plan, and if you think 'this is useful,' upgrade to the Go plan ($8/month). That is the smartest way to start.
Evolution timeline of ChatGPT image generation
Here, I will look back chronologically at how ChatGPT's image generation has evolved.
March 25, 2025 ── GPT-4o native image generation arrives
Instead of an external model like DALL·E, it became a mechanism that generates images natively within GPT-4o. It went viral globally for its Ghibli-esque style, and over 700 million images were generated in the first week of its release. It was reported that the usage level was enough to melt GPUs.
April 23, 2025 ── GPT Image 1 (API released)
'GPT Image 1' was released as an API for developers. Image generation became possible from external services as well.
October 6, 2025 ── GPT Image 1 Mini
A lightweight version with 80% cost reduction was released. It supports use cases that require mass generation at low cost.
December 16, 2025 ── GPT Image 1.5 (current latest)
The current latest model. 4x faster, dramatic improvement in text accuracy, and improved editing precision. It has been rolled out to all users and is now the default image generation for ChatGPT.
March–April 2026 — Continuous Improvements
Integration with the o3 model improves the accuracy of diagram and manga generation. The addition of a file library feature allows for automatic saving and reuse of generated images. A dedicated Images tab has been added to the sidebar.
[Breaking News] GPT Image 2 Leaked — Surpassing NanoBanana in All Categories?
And now, here is the story of the real "super evolution."
The existence of GPT Image 2 (the next-generation model) has been leaked.
A mysterious model appeared on the AI image generation benchmark site "LMArena" under three codenames: "maskingtape-alpha," "gaffertape-alpha," and "packingtape-alpha." When testers verified it, they found its performance significantly exceeded that of GPT Image 1.5, and it was removed within a few hours.
To summarize the testers' reports:
"Multiple people couldn't tell it was an AI image"-level photorealistic portraits
GPT Image 1's "yellow filter issue" has been completely resolved
Accurately reproducing IKEA store exteriors, UI interfaces, handwritten medical notes, and game environmentsaccurately reproduced
Generation based on an understanding of "how things actually look" (improved world knowledge)
And the most shocking part was this statement:
"This model is at an exceptional level in terms of realism and text. A proper competitor that can finally stand up to DeepMind (NanoBanana Pro) has appeared."
The fact that the leaked model was removed within a few hours strongly suggests thatan official release is near. If GPT Image 2 is officially released, it could completely change the landscape of AI image generation.
Reference: GPT Image 2 Leak Report
Summary
Finally, here are the key points of this article.
Main updates for GPT Image 1.5:
・Text rendering accuracy has improved dramatically (English is almost perfect, Japanese is also at a practical level)
・Up to 4x faster
・More accurate editing (changes only the modified parts, keeps the rest)
・Dedicated Images experience (preset filters, trending prompts)
・One-time likeness upload
Available plans:
・Free: Available (strict limits)
・Go ($8/month): About 10 times the quota of the free version (best cost-performance)
・Plus: Even higher quota
・Pro: Maximum quota
・Team/Enterprise: Coming soon
Comparison with NanoBanana2:
・Text accuracy: ChatGPT has the advantage
・Japanese text: NanoBanana has a slight advantage (but ChatGPT is catching up fast)
・Artistic quality: Nearly equal
・Editing features: NanoBanana has the advantage
・Realism: NanoBanana has the advantage
・Speed: ChatGPT is 4 times faster
・Price: ChatGPT is overwhelmingly cheaper ($8 vs $19.99)
Comparison with Midjourney:
・Artistic quality: Midjourney is the best
・Text accuracy: ChatGPT has an overwhelming advantage
・Practicality: ChatGPT has the advantage
・Price: ChatGPT is cheaper
Conclusion: ChatGPT's image generation has reached a level where there is "no reason not to use it." The cost-performance of the Go plan ($8/month) is particularly phenomenal.
Reference links:
・OpenAI official announcement
・GPT Image 1.5 introduction page
・Gizmodo Japan review article
The world of AI image generation is truly evolving day by day. I feel that the arrival of this GPT Image 1.5 is a particularly major turning point in that evolution.
Please try it out for yourself. You will surely be surprised, thinking, "Wow, is it this good?"
And if you are interested in the NanoBanana 2 prompt collection, please check that out as well. It is packed with know-how for mastering NanoBanana 2, which has different strengths than ChatGPT. Tools show their true value only when used appropriately.
Thank you for reading until the end. I hope this article is helpful for your image generation life.