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  1. I built a stack of six image APIs in two weekends. Six clients, six rate limits, six ways a generation can silently fail. Last Tuesday I ran the same prompt through all of them and stacked the results in a grid. Five out of six were beautiful. One was correct.

    The brief was simple. A 16:9 hero image for a fintech landing page: a 30-something professional at a standing desk, muted palette, abstract data in the background, no text anywhere in frame. Five of the six models produced something I would happily put in a mood board. The sixth produced the only one I could actually ship: 16:9, no text, muted palette, person looking roughly the right direction, and the abstract-data background sitting where I asked for it.

    That gap is the whole story.

    The metric I now use


    I stopped judging these models on aesthetic quality. Aesthetic is taste, and taste is a fight nobody wins on a forum. The only thing I care about is brief adherence: did the model respect the ratio, the palette, the negative space, the "no text" instruction, the subject, the framing? A gorgeous image with the wrong aspect ratio is a reject. A flat image that hits every line of the brief is a keep.

    On that axis, the six models cluster in ways that don't match their public leaderboards. The leaderboard tells you which model a thousand people upvoted the most. It does not tell you which model will respect your aspect_ratio: "16:9", your no_text: true, and your "this is a B2B audience" framing on the same run.

    What I actually learned


    • One model dominates for "literal" briefs. When the prompt is mostly instructions and the visual style is conventional — corporate, product, e-commerce — one of the six almost always wins, and the margin is not close. It's also not the model with the most Instagram screenshots.
    • A different model wins the moment the brief asks for typography or layout. If you need legible in-image text, exact placement, or a strong graphic-design feel, the leaderboard favourite falls apart and a less popular one takes over.
    • For concept art and character consistency, a third model pulls ahead. It's the slowest of the six. It is also the one where "make her wear the jacket in image 2" actually works.
    • The remaining three are situational. Each is the best at one thing I rarely need, and mediocre at the five other things I do.

    The mistake I see in every "X vs Y" thread is treating the question as if it has one answer. The model I'd pick for a Saturday-morning book cover is not the model I'd pick for a Monday-morning Stripe banner.

    What I did about it


    I got tired of running six tabs, six auth tokens, six credit balances. So I moved everything into a single browser console that exposes the same six models behind one prompt box, one credit wallet, and one button to "run on all six". I attach reference images, type the brief once, and the console gives me a grid. I keep one, the rest go to the library.

    The interesting part is not the grid. It's that the grid makes the brief-adherence gap obvious in a way six separate tabs never did. When you see all six outputs side by side, you stop arguing about which model is "best" and start asking which one is best for this specific job. The console does the boring part; I do the taste part.

    The cost-per-image is visible before I run, failed runs refund automatically, and I haven't opened Figma for cover work in three weeks.

    The takeaway


    Stop asking "what's the best AI image model". There isn't one. The right question is "which model follows the brief I actually have, today, for this specific output". And the only honest way to answer that is to put your real brief in front of all the candidates at once and let them fight.

    Once you start doing that, the rankings change every project. That's the point.#ai #llm #webdev #nanobanana #software #coding #development #engineering #inclusive #community
    I asked 6 image models the same thing. Only 1 followed the brief.

  2. 🧠 Google aggiorna #NanoBanana con la versione 2.1: migliora testo, layout e coerenza dei personaggi nelle revisioni. Per i contenuti in serie conta anche quante correzioni servono.
    👉 I dettagli: lnkd.in/p/gEusm28q

    ___
    ✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: bit.ly/newsletter-alessiopomaro

    #AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM

  3. Google’s Nano Banana 2.1 cuts the price of an AI image in half
    Nano Banana 2.1 is Google’s new image model on Gemini 3.6 Flash. A 1K image in the Gemini API now costs about $0.034, half the old price.

    #Gemini #NanoBanana #AI

    madrobot.blog/2026/10/08/googl

  4. 🖼️ Google lance Nano Banana 2.1 : de meilleures images pour deux fois moins cher

    👉 justgeek.fr/nano-banana-2-1-go

    #Google #NanoBanana #IA

  5. Nano Banana 2.1 liefert keine sichtbaren Qualitätssprünge, dafür neue Workflows wie GIFs, wiederverwendbare Avatare und direkte Inpainting-Masken. Das Update ist Teil der Google-AI-Abos, während der identisch ausgestattete Vorgänger kostenlos bleibt. Benchmark-Werte fehlen komplett. #NanoBanana #Google #KI #Bildgenerator #AIGeneratedImage

    all-ai.de/news/news26top/nano-

  6. Hans Blond – eine weitere Figur für Visual Novels und interaktive Geschichten

    Daher habe ich mich noch einmal hingesetzt und in Scenario eine männliche Figur für die Verwendung in Visual Novels generiert. Ich habe ihn »Hans Blond« genannt und als hochaufgelöste .png-Dateien mit freigestelltem Hintergrund auf Itch.io hochgeladen. kantel.github.io/posts/2026092 #InteractiveFiction #GameDev #KünstlicheIntelligenz #VisualNovel #Scenario #NanoBanana

  7. Babsi – noch eine Figur für Visual Novels und andere interaktive Geschichten

    Angeregt durch die gestrige Entdeckung des Templates, mit dem man interaktive Geschichten und Visual Novels in Ink/Inky erstellen kann, habe ich mich gestern noch einmal hingesetzt und in Scenario eine weitere Figur für die Verwendung in Visual Novels erzeugt. kantel.github.io/posts/2026091 #InteractiveFiction #VisualNovel #GameDev #Bilder #KünstlicheIntelligenz #Scenario #NanoBanana

  8. FYI: Google's Gemini gains a Windows desktop app opened with Alt + Space: Windows 10 and 11 PCs worldwide can now run Gemini with Spark agent handoffs, Gmail data and Nano Banana images. Which parts stay behind paywalls and borders? ppc.land/googles-gemini-gains- #GoogleGemini #WindowsApp #TechNews #GmailIntegration #NanoBanana

  9. 🚀 Behold the latest #AI wizardry: a parade of #Gemini everything, where your wildest dreams can come true—if your wildest dreams involve a Nano Banana creating audio-visual masterpieces. 🙄 But don't worry, they also have a model for building "responsible AI" applications, which is definitely not ironic at all. 🤖
    deepmind.google/models/model-c #Wizardry #NanoBanana #ResponsibleAI #TechInnovation #HackerNews #ngated

  10. Четыре роли нейросетей в обработке фото

    Словосочетание «Нейросетевая обработка фото» звучит красиво и технологично. А кое-кто от неё уже даже устал, ибо ассоциирует её с потоком нейрослопа. Но вот проблема. Что вообще значит обработать фото нейронкой? Слово «нейросеть» здесь слишком общее понятие, сродни слову «электромотор». А последний, как известно, работает и в электромобиле, и в зубной щётке. В предыдущих двух частях мы очень подробно погрузились в теорию и разобрали, как вообще ИИ работает с изображением и какие у этого есть подводные камни. В этой статье мы чуть всплывём из глубины теорий и посмотрим на то, как решаются реальные задачи. Для иллюстрации всего описанного я буду использовать фото, которые сделал сам в разные года. Кроме того, мне помогут несколько ИИ-инструментов. В моём арсенале примерами послужат Adobe Photoshop и его дополнение Camera Raw, плагины PortraitPro и Retouch4me, а также перспективная разработка Evoto. Важно! Это не самоучитель по этим инструментам и уж точно не подборка «что нужно молодому нейросетевому художнику». В этой статье мы классифицируем реальные инструменты по принципу их работы. А ПО из списка выше поможет нам проиллюстрировать работу. Итак. Что общего у шумодава и дорисовки? Почему маску проверить легко, а результат генерации — нет? И что за модель, в которую нужно загрузить пять тысяч ваших кадров, прежде чем она начнёт приносить пользу? Все ответы ниже.

    habr.com/ru/companies/bothub/a

    #Photoshop #Retouch4me #PortraitPro #диффузионные_сети #Evoto #фотография #обработка #FLUX #генеративные_модели #nanobanana

  11. Как сделать портрет с помощью ИИ — чтобы действительно было похоже

    За последние пару месяцев я сгенерировал несколько тысяч ИИ-портретов — себя, друзей, родственников и даже случайных людей из интернета. Мне было интересно разобраться, как выстроить этот процесс так, чтобы нейрофотки получались похожими на человека. Короче, я потратил около $200 на эксперименты и вроде как нащупал адекватный способ.

    habr.com/ru/articles/1072142/

    #ии #фотография #иифотошоп #chatgpt #nanobanana #ai

  12. #GoogleEarth risked ruin with retracted #AI tool for making fake #satellite pics

    #Google briefly allowed anyone to create AI-modified versions of satellite imagery available in Google Earth—before quickly reversing its decision as people shared examples of AI-generated pictures that illustrated the potential for #misinformation and #disinformation.

    There is no shortage of generative AI tools that already allow people to create AI-modified images of real buildings and cities based on user prompts. But Google’s aborted attempt to incorporate its #NanoBanana 2 AI image generator as a Google Earth feature made it even easier for anyone to create modified versions of authentic imagery depicting real locations—something that Google boasted about when initially promoting the new feature.

    arstechnica.com/ai/2026/07/goo

  13. Тренды Telegram-ботов и Mini Apps: звезды, ИИ и чат-рулетки

    Телеграм покажет число юзеров бота, если им пользуются больше 10 тысяч человек в месяц. Я собрал самую большую базу таких ботов. В статье расскажу о трендах июля 2026 в экосистеме Telegram. Что же происходило?

    habr.com/ru/articles/1066040/

    #telegram #mini_app #bot #chatgpt #nanobanana #рынок #тренды #анализ_данных

  14. Google Earth introduce #nanobanana per trasformare qualsiasi luogo tramite query specifiche. Una nuova funzione che ridefinisce l'interazione con le mappe digitali. Scopri di più qui: kiro.it/cEJFZ #googleearth #tech

  15. 🤖 Oh wow, Gemini Robotics 2 is here to remind us that robots can now "perceive, reason, and use tools"—so basically, they're just like humans but without the crippling student debt. 🙃 With a name like "Nano Banana," how could anyone take this tech salad seriously? 🍌✨
    deepmind.google/blog/gemini-ro #GeminiRobotics #NanoBanana #RoboticsTech #AIinnovation #HackerNews #ngated

  16. ICYMI: Google brings image generation into AI Overviews as Google Images turns 25: Image creation enters Search results across AI Mode regions using the Nano Banana model, which has generated over 5 billion images since its August 2025 debut. ppc.land/google-brings-image-g #GoogleImages #AI #ImageGeneration #NanoBanana #DigitalArt

  17. Google brings image generation into AI Overviews as Google Images turns 25: Image creation enters Search results across AI Mode regions using the Nano Banana model, which has generated over 5 billion images since its August 2025 debut. ppc.land/google-brings-image-g #GoogleImages #AIGeneration #ImageCreation #NanoBanana #ArtificialIntelligence

  18. 🧠 #Google amplia l’ecosistema #Gemini per la generazione multimediale con due nuovi modelli: #NanoBanana 2 Lite e Gemini #Omni Flash. 

    👉 Test e dettagli: linkedin.com/posts/alessiopoma

    ___
    ✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: bit.ly/newsletter-alessiopomaro

    #AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM 

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