1const a="nano-banana-intro",e="Nano Banana Pro & Nano Banana 2",n="Access Google's flagship image models on __SITE_BRAND__. Nano Banana Pro for studio-grade quality, Nano Banana 2 for lightning-fast generation at scale. Try both now.",d=[{href:"/ai/image?model=nano-banana-2",label:"Nano Banana 2Speed meets intelligence. Generate stunning 4K images with pro-level reasoning - without the wait.Try now"},{href:"/ai/image?model=nano-banana-pro",label:"Nano Banana ProWhere precision becomes art. Native 2K resolution, flawless typography, and scene-perfect lighting - every single time.Try now"},{href:"/ai/image?model=nano-banana-2-lite",label:"Nano Banana 2 LiteSpeed without compromise. Pro-level intelligence in a lighter, faster package - stunning images, ready in an instant.Try now"},{href:"/mobile/image/nano-banana-2",label:"Start Now"},{href:"/ai/image?model=nano-banana-2",label:"Start Now"},{href:"/mobile/image/nano-banana-2",label:"Start Now!"},{href:"/ai/image?model=nano-banana-2",label:"Start Now!"},{href:"/mobile/image/nano-banana-2",label:"Start Now!"},{href:"/ai/image?model=nano-banana-2",label:"Start Now!"},{href:"/mobile/image/nano-banana-2",label:"Start Now!"},{href:"/ai/image?model=nano-banana-2",label:"Start Now!"},{href:"/mobile/image/nano-banana-2",label:"Start Generating!"},{href:"/ai/image?model=nano-banana-2",label:"Start Generating!"},{href:"/ai-image",label:"AI Image Generator"},{href:"/nano-banana-pro-prompt-guide",label:"Nano Banana Pro Prompt Guide"},{href:"/flux-2-intro",label:"FLUX 2 Intro"},{href:"/gpt-1.5",label:"GPT 1.5"},{href:"/gpt-2",label:"GPT 2"},{href:"/seedream-5.0",label:"Seedream 5.0"},{href:"/soul-intro",label:"Soul Intro"},{href:"/soul",label:"Soul"},{href:"/image-editing",label:"Image Editing"},{href:"/claude-ai-image-generator",label:"Claude AI Image Generator"},{href:"/apps/angles",label:"Angles"},{href:"/apps/relight",label:"Relight"},{href:"/apps/skin-enhancer",label:"Skin Enhancer"},{href:"/apps/style-snap",label:"Style Snap"},{href:"/apps/breakdown",label:"Breakdown"},{href:"/apps/3d-render",label:"3D Render"},{href:"/apps/j-poster",label:"J Poster"},{href:"/apps/renaissance",label:"Renaissance"},{href:"/apps/meme-generator",label:"Meme Generator"},{href:"/apps/ai-headshot-generator",label:"AI Headshot Generator"},{href:"/apps/expand-image",label:"Expand Image"},{href:"/apps/image-background-remover",label:"Image Background Remover"},{href:"/apps/color-grading",label:"Color Grading"},{href:"/apps/enhance-style",label:"Enhance Style"},{href:"/apps/glitter-sticker",label:"Glitter Sticker"},{href:"/ai-video",label:"AI Video Generator"},{href:"/kling-3.0",label:"Kling 3.0"},{href:"/seedance/2.0",label:"Seedance 2.0"},{href:"/wan-2.6",label:"Wan 2.6"},{href:"/grok-imagine",label:"Grok Imagine"}],t=JSON.parse(`[{"kind":"hero","html":"<div class=\\"amn-9a7476569e amn-1d4a91a77a amn-d2d9e1f134\\" data-seo-section=\\"hero\\"><div aria-hidden=\\"true\\" class=\\"amn-747355bdc2 amn-ce13093ad8 amn-33228ff7d5\\"></div><section class=\\"amn-a42d519714 amn-d2c2cf991f amn-05ab124483 amn-222f930b87 amn-71556df3b4 amn-302c0d124a amn-81f36edf08 amn-99a2d09dea amn-d5bb1d37d0 amn-00b04d268b amn-c2e9858565 amn-d2d9e1f134 amn-418e44ad4f\\"><div class=\\"amn-222f930b87 amn-302c0d124a amn-9f9763f399 amn-71556df3b4 amn-2cd561ad57 amn-2c821ce2a8 amn-e76a7904e7 amn-1752f11474\\"><h1 class=\\"amn-dcb4476c7f amn-d2cf63c704 amn-e4e1ef2867 amn-c28289cf3c amn-7921bd86e8 amn-dae5d2b3dc amn-a1d6c0c1f9 amn-bc05470814 amn-1a11188695 amn-296d67c6ba\\">Nano Banana<br class=\\"amn-e564b4081d amn-1120384154\\"> EVOLUTION OF <mark>IMAGE GENERATION</mark></h1><p class=\\"amn-c28289cf3c amn-7921bd86e8 amn-7627cc3296 amn-1916483b51 amn-bb12464107 amn-a26580ff6d\\">Powered by the Gemini Flash reasoning engine. Create photorealistic 4K visuals with perfect prompt adherence and fastest generation speed.</p></div><div data-delay=\\"0.3\\" class=\\"amn-1dee6e3ec6 amn-e6c100511c amn-4f1a55de40 amn-a57cd515ec amn-207d2b711c amn-1d7487f2ea amn-58d0413dd9 amn-f7fba94f89 amn-d428dcb8d4\\" data-seo-model-prompt=\\"\\"><div class=\\"amn-4fb0b00ade amn-b97db4a9f4 amn-3aa3383403 amn-4f1a55de40 amn-3c57bb1ac5 amn-b741b09519 am
1n-c8107da97f\\"><textarea class=\\"amn-035bd24583 amn-f55d8f30dc amn-58d0413dd9 amn-0862b73144 amn-db567af109 amn-93adf2894f amn-26ac9b83f7 amn-d5111d0e9f amn-b97db4a9f4 amn-5de149050c\\" placeholder=\\"Describe any visual idea. We will generate an image\\" rows=\\"1\\" aria-label=\\"Describe your image\\"></textarea><div class=\\"amn-222f930b87 amn-32c92bb1fd amn-71556df3b4\\"><button type=\\"button\\" class=\\"amn-c3e2d78f3f amn-3694b9c7c4 amn-6d3962e107\\" data-seo-model-shuffle=\\"\\"><svg aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path d=\\"M2.75 18.1875H4.39152C4.65663 18.1875 4.91089 18.0822 5.09841 17.8948L15.9571 7.04268C16.1447 6.85527 16.3989 6.75 16.664 6.75H20.5M2.75 5.75H4.33579C4.601 5.75 4.85536 5.85536 5.04289 6.04289L8.5 9.5M20.5 17.1562H16.5304C16.2622 17.1562 16.0052 17.0485 15.8172 16.8573L13.5 14.5M18.25 3.75L21.25 6.75L18.25 9.75M18.1667 14.0625L21.25 17.1562L18.1667 20.25\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\" stroke-linejoin=\\"round\\"></path></svg>Random prompt</button><button type=\\"button\\" class=\\"amn-c3e2d78f3f amn-3694b9c7c4 amn-db15c5fdee amn-0f2a693e93 amn-244669b7c4 amn-71556df3b4 amn-074569488c amn-2bf5d58a82 amn-25e1240045 amn-be97b11af4 amn-c74ab393b9 amn-87e86ce38e amn-d5d30e38dc amn-6ad537f2bb amn-70dd37c114 amn-ca24ab3ad7 amn-7b60d0ed31 amn-16e069ef5c amn-101cff1919 amn-3bcff6418a amn-04753d2df7 amn-160817c274 amn-990c2a4ffe amn-60aa190881 amn-edb80a19fb amn-19e6fc9ed4 amn-47463053af\\" data-seo-model-generate=\\"\\">Generate<svg aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path d=\\"M11.7452 4.66559C11.7023 4.28675 11.382 4.00039 11.0008 4C10.6195 3.99961 10.2986 4.28532 10.2549 4.66407C9.97088 7.12691 9.23453 8.85871 8.04662 10.0466C6.85871 11.2345 5.12691 11.9709 2.66407 12.2549C2.28532 12.2986 1.99961 12.6195 2 13.0008C2.00039 13.382 2.28675 13.7023 2.66559 13.7452C5.08772 14.0196 6.85633 14.7556 8.07245 15.9498C9.28399 17.1394 10.0357 18.8708 10.2529 21.3164C10.2873 21.7037 10.612 22.0004 11.0008 22C11.3897 21.9996 11.7137 21.7021 11.7472 21.3147C11.9554 18.9094 12.7064 17.1415 13.924 15.924C15.1415 14.7064 16.9094 13.9554 19.3147 13.7472C19.7021 13.7137 19.9996 13.3897 20 13.0008C20.0004 12.612 19.7037 12.2873 19.3164 12.2529C16.8708 12.0357 15.1394 11.284 13.9498 10.0724C12.7556 8.85633 12.0196 7.08772 11.7452 4.66559Z\\" fill=\\"currentColor\\"></path><path d=\\"M19.7898 1.25884C19.7731 1.11151 19.6486 1.00015 19.5003 1C19.352 0.999849 19.2272 1.11096 19.2103 1.25825C19.0998 2.21602 18.8134 2.8895 18.3515 3.35146C17.8895 3.81343 17.216 4.09979 16.2582 4.21025C16.111 4.22724 15.9998 4.35203 16 4.5003C16.0002 4.64857 16.1115 4.77313 16.2588 4.78981C17.2008 4.89651 17.8886 5.18275 18.3615 5.64713C18.8327 6.10977 19.125 6.7831 19.2095 7.73414C19.2229 7.88476 19.3491 8.00017 19.5003 8C19.6515 7.99983 19.7775 7.88413 19.7906 7.73349C19.8716 6.79809 20.1636 6.11059 20.6371 5.6371C21.1106 5.16361 21.7981 4.87155 22.7335 4.79058C22.8841 4.77754 22.9998 4.65154 23 4.50033C23.0002 4.34912 22.8848 4.22286 22.7341 4.20948C21.7831 4.125 21.1098 3.83266 20.6471 3.36151C20.1827 2.88857 19.8965 2.20078 19.7898 1.25884Z\\" fill=\\"currentColor\\"></path></svg></button></div></div></div></section></div>"},{"kind":"hero-rail","html":"<section data-seo-section=\\"hero-rail\\"><div aria-hidden=\\"true\\" class=\\"amn-747355bdc2 amn-ce13093ad8 amn-33228ff7d5\\"></div><div class=\\"amn-d5111d0e9f amn-75393e1c94 amn-58d0413dd9\\" data-seo-image-rail=\\"\\"><ul class=\\"amn-222f930b87\\"><li class=\\"amn-1da2e8f173\\"><figure style=\\"aspect-ratio:1.0864197530864197\\" class=\\"amn-035dbac9f0 amn-d5111d0e9f amn-d2d9e1f134 amn-e5e2dba0ba\\"><figcaption hidden=\\"\\">Showcase 1</figcaption><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/slide-1.webp\\" alt=\\"Showcase 1\\" loading=\\"eager\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367 amn-beea3c0279\\" muted=\\"\\" fetchpriority=\\"high\\"><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-48265379aa amn-0f2a693e93 amn-0ccd70f0f8\\"></div></figure></li><li class=\\"amn-1da2e8f173\\"><figure style=\\"aspect-ratio:0.8425925925925926\\" class=\\"amn-035dbac9f0 amn-d5111d0e9f amn-d2d9e1f134 amn-e5e2dba0ba\\"><figcaption hidden=\\"\\">Showcase 2</figcaption><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/slide-2.webp\\" alt=\\"Showcase 2\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367 amn-beea3c0279\\" muted=\\"\\"><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-48265379aa amn-0f2a693e93 amn-0ccd70f0f8\\"></div></figure></li><li class=\\"amn-1da2e8f173\\"><figure style=\\"aspect-ratio:1.1666666666666667\\" class=\\"amn-035dbac9f0 amn-d5111d0e9f amn-d2d9e1f134 amn-e5e2dba0ba\\"><figcaption hidden=\\"\\">Showcase 3</figcaption><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/slide-3.webp\\" alt=\\"Showcase 3\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367 amn-beea3c0279\\" muted=\\"\\"><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-48265379aa amn-0f2a693e93 amn-0ccd70f0f8\\"></div></figure></li><li class=\\"amn-1da2e8f173\\"><figure style=\\"aspect-ratio:0.7407407407407407\\" class=\\"amn-035dbac9f0 amn-d5111d0e9f amn-d2d9e1f134 amn-e5e2dba0ba\\"><figcaption hidden=\\"\\">Showcase 4</figcaption><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/slide-4.webp\\" alt=\\"Showcase 4\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367 amn-beea3c0279\\" muted=\\"\\"><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-48265379aa amn-0f2a693e93 amn-0ccd70f0f8\\"></div></figure></li><li class=\\"amn-1da2e8f173\\"><figure style=\\"aspect-ratio:1.3395061728395061\\" class=\\"amn-035dbac9f0 amn-d5111d0e9f amn-d2d9e1f134 amn-e5e2dba0ba\\"><figcaption hidden=\\"\\">Showcase 5</figcaption><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/slide-5.webp\\" alt=\\"Showcase 5\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367 amn-beea3c0279\\" muted=\\"\\"><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-48265379aa amn-0f2a693e93 amn-0ccd70f0f8\\"></div></figure></li><li class=\\"amn-1da2e8f173\\"><figure style=\\"aspect-ratio:0.7407407407407407\\" class=\\"amn-035dbac9f0 amn-d5111d0e9f amn-d2d9e1f134 amn-e5e2dba0ba\\"><figcaption hidden=\\"\\">Showcase 6</figcaption><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/slide-6.webp\\" alt=\\"Showcase 6\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367 amn-beea3c0279\\" muted=\\"\\"><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-48265379aa amn-0f2a693e93 amn-0ccd70f0f8\\"></div></figure></li><li class=\\"amn-1da2e8f173\\"><figure style=\\"aspect-ratio:1.3395061728395061\\" class=\\"amn-035dbac9f0 amn-d5111d0e9f amn-d2d9e1f134 amn-e5e2dba0ba\\"><figcaption hidden=\\"\\">Showcase 7</figcaption><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/slide-7.webp\\" alt=\\"Showcase 7\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367 amn-beea3c0279\\" muted=\\"\\"><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-48265379aa amn-0f2a693e93 amn-0ccd70f0f8\\"></div></figure></li><li class=\\"amn-1da2e8f173\\"><figure style=\\"aspect-ratio:1.4259259259259258\\" class=\\"amn-035dbac9f0 amn-d5111d0e9f amn-d2d9e1f134 amn-e5e2dba0ba\\"><figcaption hidden=\\"\\">Showcase 8</figcaption><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/slide-8.webp\\" alt=\\"Showcase 8\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367 amn-beea3c0279\\" muted=\\"\\"><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-48265379aa amn-0f2a693e93 amn-0ccd70f0f8\\"></div></figure></li></ul></div></section>"},{"kind":"versions","html":"<section class=\\"amn-9513b39680 amn-15193570ab amn-0e65bf5c9d amn-d801ae680a amn-a65096cb9c amn-7a41984f6c amn-2e20b46de0\\" data-seo-section=\\"versions\\"><div aria-hidden=\\"true\\" class=\\"amn-747355bdc2 amn-ce13093ad8 amn-33228ff7d5\\"></div><div class=\\"amn-1752f11474 amn-222f930b87 amn-6a9a56a2c9 amn-302c0d124a amn-71556df3b4 amn-aacb6183f8\\"><div class=\\"amn-222f930b87 amn-302c0d124a amn-71556df3b4 amn-074569488c amn-05ab124483\\"><h2 class=\\"amn-dcb4476c7f amn-d2cf63c704 amn-e4e1ef2867 amn-c28289cf3c amn-7921bd86e8 amn-dae5d2b3dc amn-a1d6c0c1f9 amn-bc05470814 amn-7e620f2020 amn-b6969af172\\">THE FUTURE OF IMAGE GENERATION IS HERE.</h2><p class=\\"amn-c28289cf3c amn-7921bd86e8 amn-7627cc3296 amn-1916483b51 amn-bb12464107\\">Two powerful models. One platform.<br>Built for what's next.</p></div><div class=\\"amn-0f2a693e93 amn-58d0413dd9 amn-3f2a1f2e8a amn-a503dd374c amn-90fc3ec35a amn-561afbec7a\\"><a class=\\"amn-ad936fcbed amn-d2d9e1f134 amn-222f930b87 amn-d0f30cee0d amn-58d0413dd9 amn-302c0d124a amn-307644c34d amn-d5111d0e9f amn-040c0e0ee5 amn-4f1a55de40 amn-a1ba85c9a6 amn-014b941a77 amn-ce57d63294 amn-a5af86050a\\" data-seo-link=\\"0\\" data-seo-href=\\"__SEO_LINK_0__\\"><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/future-nano-banana-2.png\\" alt=\\"\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" aria-hidden=\\"true\\" class=\\"amn-6ed4912367\\"><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-dba6047ee5 amn-c2d954c59b amn-d7e97dcd03 amn-0dc5c8bbbd\\"></div><div aria-hidden=\\"true\\" class=\\"amn-33228ff7d5 amn-747355bdc2 amn-3ba24c062d amn-30150dd033 amn-e12e24f375 amn-18835da605 amn-045c229aaf amn-9d178d1e56 amn-5638a8c88a amn-94f91922a1 amn-2cdd01663c amn-f07df86364 amn-58ed788a3d\\"></div><div class=\\"amn-d2d9e1f134 amn-d7efd1b0b0 amn-222f930b87 amn-302c0d124a amn-d7db3451d1 amn-48a1d34f1a amn-f07df86364 amn-791c2d0997 amn-dd1833e37b\\"><h2 class=\\"amn-c96207023b amn-c28289cf3c\\">Nano Banana 2</h2><p class=\\"amn-7630be466c amn-c28289cf3c amn-0538852f24\\">Speed meets intelligence. Generate stunning 4K images with pro-level reasoning - without the wait.</p><span class=\\"amn-123306850f amn-71556df3b4 amn-70007b8768 amn-a3110d5c74 amn-c28289cf3c amn-29bc96af09 amn-6776c24a9e amn-28caca0907 amn-
15d2e5ffe81 amn-f97ba35b5c amn-c1373cfa29 amn-b31061fbc8 amn-274184dce5 amn-fa9632c870 amn-b2cf337bb8 amn-c3f9b985a7\\">Try now<svg width=\\"12\\" height=\\"12\\" viewBox=\\"0 0 12 12\\" class=\\"amn-5e34f53138\\"><path d=\\"M4.5 2L7.79289 5.29288C8.18342 5.68341 8.18342 6.31657 7.79289 6.7071L4.5 10\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\" stroke-linejoin=\\"round\\" fill=\\"none\\"></path></svg></span></div></a><a class=\\"amn-ad936fcbed amn-d2d9e1f134 amn-222f930b87 amn-d0f30cee0d amn-58d0413dd9 amn-302c0d124a amn-307644c34d amn-d5111d0e9f amn-040c0e0ee5 amn-4f1a55de40 amn-a1ba85c9a6 amn-014b941a77 amn-ce57d63294 amn-a5af86050a\\" data-seo-link=\\"1\\" data-seo-href=\\"__SEO_LINK_1__\\"><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/future-pro.jpg\\" alt=\\"\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" aria-hidden=\\"true\\" class=\\"amn-6ed4912367\\"><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-dba6047ee5 amn-c2d954c59b amn-d7e97dcd03 amn-ced7141342\\"></div><div class=\\"amn-747355bdc2 amn-30150dd033 amn-6357027065 amn-44fd85f5d6 amn-4379e5b6d7 amn-8d0eda900a amn-8ff4aad7c1\\"></div><div aria-hidden=\\"true\\" class=\\"amn-33228ff7d5 amn-747355bdc2 amn-3ba24c062d amn-30150dd033 amn-e12e24f375 amn-18835da605 amn-045c229aaf amn-9d178d1e56 amn-5638a8c88a amn-94f91922a1 amn-2cdd01663c amn-f07df86364 amn-58ed788a3d\\"></div><div class=\\"amn-d2d9e1f134 amn-d7efd1b0b0 amn-222f930b87 amn-302c0d124a amn-d7db3451d1 amn-48a1d34f1a amn-f07df86364 amn-791c2d0997 amn-dd1833e37b\\"><h2 class=\\"amn-c96207023b amn-c28289cf3c\\">Nano Banana Pro</h2><p class=\\"amn-7630be466c amn-c28289cf3c amn-82ddca0140\\">Where precision becomes art. Native 2K resolution, flawless typography, and scene-perfect lighting - every single time.</p><span class=\\"amn-123306850f amn-71556df3b4 amn-70007b8768 amn-a3110d5c74 amn-c28289cf3c amn-29bc96af09 amn-6776c24a9e amn-28caca0907 amn-5d2e5ffe81 amn-f97ba35b5c amn-c1373cfa29 amn-b31061fbc8 amn-274184dce5 amn-fa9632c870 amn-b2cf337bb8 amn-c3f9b985a7\\">Try now<svg width=\\"12\\" height=\\"12\\" viewBox=\\"0 0 12 12\\" class=\\"amn-5e34f53138\\"><path d=\\"M4.5 2L7.79289 5.29288C8.18342 5.68341 8.18342 6.31657 7.79289 6.7071L4.5 10\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\" stroke-linejoin=\\"round\\" fill=\\"none\\"></path></svg></span></div></a><a class=\\"amn-ad936fcbed amn-d2d9e1f134 amn-222f930b87 amn-d0f30cee0d amn-58d0413dd9 amn-302c0d124a amn-307644c34d amn-d5111d0e9f amn-040c0e0ee5 amn-4f1a55de40 amn-a1ba85c9a6 amn-014b941a77 amn-ce57d63294 amn-a5af86050a\\" data-seo-link=\\"2\\" data-seo-href=\\"__SEO_LINK_2__\\"><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/lite.png\\" alt=\\"\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" aria-hidden=\\"true\\" class=\\"amn-6ed4912367\\"><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-dba6047ee5 amn-c2d954c59b amn-d7e97dcd03 amn-0dc5c8bbbd\\"></div><div aria-hidden=\\"true\\" class=\\"amn-33228ff7d5 amn-747355bdc2 amn-3ba24c062d amn-30150dd033 amn-e12e24f375 amn-18835da605 amn-045c229aaf amn-9d178d1e56 amn-5638a8c88a amn-94f91922a1 amn-2cdd01663c amn-f07df86364 amn-58ed788a3d\\"></div><div class=\\"amn-d2d9e1f134 amn-d7efd1b0b0 amn-222f930b87 amn-302c0d124a amn-d7db3451d1 amn-48a1d34f1a amn-f07df86364 amn-791c2d0997 amn-dd1833e37b\\"><h2 class=\\"amn-c96207023b amn-c28289cf3c\\">Nano Banana 2 Lite</h2><p class=\\"amn-7630be466c amn-c28289cf3c amn-0538852f24\\">Speed without compromise. Pro-level intelligence in a lighter, faster package - stunning images, ready in an instant.</p><span class=\\"amn-123306850f amn-71556df3b4 amn-70007b8768 amn-a3110d5c74 amn-c28289cf3c amn-29bc96af09 amn-6776c24a9e amn-28caca0907 amn-5d2e5ffe81 amn-f97ba35b5c amn-c1373cfa29 amn-b31061fbc8 amn-274184dce5 amn-fa9632c870 amn-b2cf337bb8 amn-c3f9b985a7\\">Try now<svg width=\\"12\\" height=\\"12\\" viewBox=\\"0 0 12 12\\" class=\\"amn-5e34f53138\\">
1<path d=\\"M4.5 2L7.79289 5.29288C8.18342 5.68341 8.18342 6.31657 7.79289 6.7071L4.5 10\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\" stroke-linejoin=\\"round\\" fill=\\"none\\"></path></svg></span></div></a></div></div></section>"},{"kind":"cases","html":"<section class=\\"amn-e0ebf940bd amn-15193570ab amn-9fbc6bfa73 amn-1b093bc47c\\" data-seo-section=\\"cases\\"><div aria-hidden=\\"true\\" class=\\"amn-747355bdc2 amn-ce13093ad8 amn-33228ff7d5\\"></div><div class=\\"amn-a42d519714 amn-d2c2cf991f\\"><div class=\\"amn-222f930b87 amn-302c0d124a amn-074569488c amn-49d10b17c1 amn-ddd816d245\\"><h2 class=\\"amn-dcb4476c7f amn-d2cf63c704 amn-e4e1ef2867 amn-c28289cf3c amn-7921bd86e8 amn-dae5d2b3dc amn-a1d6c0c1f9 amn-bc05470814 amn-7e620f2020 amn-b6969af172 amn-0b7e63b919\\">NANO BANANA 2: THE REASONING <br class=\\"amn-e564b4081d amn-5f17e985d6\\">IMAGE ENGINE</h2><div class=\\"amn-222f930b87 amn-56760b222d amn-302c0d124a amn-32c92bb1fd amn-b9677bd1cb amn-55c4df0938 amn-58d0413dd9 amn-074569488c\\"><p class=\\"amn-7921bd86e8 amn-7627cc3296 amn-1916483b51 amn-bb12464107 amn-daaac3fbf5 amn-c0a2bcc8f8\\">Nano Banana 2 moves beyond simple diffusion. It plans scenes before rendering them, delivering native 2K resolution, physics-accurate lighting, and flawless text rendering.</p><div><a type=\\"button\\" class=\\"amn-0f2a693e93 amn-244669b7c4 amn-05ab124483 amn-a503dd374c amn-71556df3b4 amn-074569488c amn-be97b11af4 amn-0b0927bbb3 amn-83b85bffe2 amn-49abc543ea amn-0f9e667291 amn-3992de70b0 amn-87e86ce38e amn-3e9c0895fc amn-2f51150e89 amn-70ddca85bb\\" data-seo-link=\\"3\\" data-seo-href=\\"__SEO_LINK_3__\\"><svg aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path fill-rule=\\"evenodd\\" clip-rule=\\"evenodd\\" d=\\"M13.1161 5.36612C13.6043 4.87796 14.3957 4.87796 14.8839 5.36612L20.6339 11.1161C20.8683 11.3505 21 11.6685 21 12C21 12.3315 20.8683 12.6494 20.6339 12.8839L14.8839 18.6339C14.3957 19.122 13.6043 19.122 13.1161 18.6339C12.628 18.1457 12.628 17.3543 13.1161 16.8661L16.7322 13.25H4.25C3.55964 13.25 3 12.6903 3 12C3 11.3096 3.55964 10.75 4.25 10.75H16.7322L13.1161 7.13388C12.628 6.64573 12.628 5.85427 13.1161 5.36612Z\\" fill=\\"currentColor\\"></path></svg>Start Now</a><a type=\\"button\\" class=\\"amn-0f2a693e93 amn-244669b7c4 amn-05ab124483 amn-a503dd374c amn-71556df3b4 amn-074569488c amn-be97b11af4 amn-0b0927bbb3 amn-83b85bffe2 amn-6ad537f2bb amn-e5c89bcc64 amn-87e86ce38e amn-c74ab393b9 amn-dae66582cb amn-25e1240045 amn-fdd2f85cad amn-d60d695639 amn-e564b4081d amn-f16e61de7c amn-1040957cd3\\" data-seo-link=\\"4\\" data-seo-href=\\"__SEO_LINK_4__\\"><svg aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path fill-rule=\\"evenodd\\" clip-rule=\\"evenodd\\" d=\\"M13.1161 5.36612C13.6043 4.87796 14.3957 4.87796 14.8839 5.36612L20.6339 11.1161C20.8683 11.3505 21 11.6685 21 12C21 12.3315 20.8683 12.6494 20.6339 12.8839L14.8839 18.6339C14.3957 19.122 13.6043 19.122 13.1161 18.6339C12.628 18.1457 12.628 17.3543 13.1161 16.8661L16.7322 13.25H4.25C3.55964 13.25 3 12.6903 3 12C3 11.3096 3.55964 10.75 4.25 10.75H16.7322L13.1161 7.13388C12.628 6.64573 12.628 5.85427 13.1161 5.36612Z\\" fill=\\"currentColor\\"></path></svg>Start Now</a></div></div></div><div data-overflow=\\"false\\" data-can-scroll-prev=\\"false\\" data-can-scroll-next=\\"false\\" class=\\"amn-1b6ed4234a amn-d2d9e1f134 amn-7f10e7cf29 amn-413c3c1f23 amn-ba141158d9 amn-2d49a0c572 amn-99da773ce4 amn-b52d18ee85 amn-dd032a0e9f\\"><div class=\\"amn-d2d9e1f134 amn-184ddc11e5 amn-751d7f5e12 amn-814d567ba4 amn-91ea3f72be amn-648993fbb2 amn-9a420e7cf9 amn-ae765c40ae\\"><div class=\\"amn-26ac9b83f7 amn-58d0413dd9 amn-b40bd2e015 amn-0569931d14 amn-3ee2fcebcf amn-25a90a2d78 amn-78e8e15ae1 amn-aaf72b86c9 amn-182855f8b2\\" data-seo-viewport=\\"native\\" data-seo-scroll-step=\\"page\\"><div class=\\"amn-0f2a693e93 amn-1a3b2d1103 amn-2bf6510f13 amn-df175dde10 amn-0824b9e66c amn-d782230e54 amn-3d57db208b amn-4fdd4a741c amn-972754c85b amn-bd9aad4a79 amn-90fc3ec35a amn-b5edc3ea7c\\"><div style=\\"--amn-card-w-mobile:calc((min(100vw, 80rem) - 2rem));--amn-card-w-md:calc(((min(100vw, 80rem) - 2rem) - 1rem) / 2);--amn-card-w-lg:calc(((min(100vw, 80rem) - 2rem) - 2rem) / 3)\\" class=\\"amn-70a428d6c2 amn-eafe6b13f3 amn-a44cb4940b\\"><div class=\\"amn-ad936fcbed amn-d2d9e1f134 amn-d5111d0e9f amn-035dbac9f0 amn-
158d0413dd9 amn-25e1240045 amn-d3cea061f2 amn-222f930b87 amn-302c0d124a amn-307644c34d amn-d2fa884896 amn-e1069a2780 amn-48a1d34f1a amn-f07df86364 amn-791c2d0997 amn-9265272d70 amn-c6540e8579 amn-cb32889378\\" data-seo-nano-card=\\"0\\"><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/case-1.webp\\" alt=\\"Interactive card background image\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367 amn-747355bdc2 amn-ce13093ad8 amn-58d0413dd9 amn-57c930dc1c amn-6565c00679 amn-3b96a7600b amn-128c0876a8\\"><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-fbd095b29b amn-f07df86364 amn-16c2539d96 amn-1653578bae\\" data-seo-nano-state=\\"\\" data-seo-closed-class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-fbd095b29b amn-f07df86364 amn-16c2539d96 amn-1653578bae\\" data-seo-open-class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-fbd095b29b amn-f07df86364 amn-16c2539d96 amn-8e801d1a6b\\"></div><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-dba6047ee5 amn-c2d954c59b amn-edae5f0889 amn-b5b8321b32 amn-2cdd01663c amn-f07df86364 amn-16c2539d96 amn-94f91922a1\\" data-seo-nano-state=\\"\\" data-seo-closed-class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-dba6047ee5 amn-c2d954c59b amn-edae5f0889 amn-b5b8321b32 amn-2cdd01663c amn-f07df86364 amn-16c2539d96 amn-94f91922a1\\" data-seo-open-class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-dba6047ee5 amn-c2d954c59b amn-edae5f0889 amn-b5b8321b32 amn-2cdd01663c amn-f07df86364 amn-16c2539d96 amn-65694092f0\\"></div><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-18835da605 amn-c32eb8965d amn-5638a8c88a amn-2cdd01663c amn-f07df86364 amn-16c2539d96 amn-65694092f0\\" data-seo-nano-state=\\"\\" data-seo-closed-class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-18835da605 amn-c32eb8965d amn-5638a8c88a amn-2cdd01663c amn-f07df86364 amn-16c2539d96 amn-65694092f0\\" data-seo-open-class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-18835da605 amn-c32eb8965d amn-5638a8c88a amn-2cdd01663c amn-f07df86364 amn-16c2539d96 amn-94f91922a1\\"></div><div class=\\"amn-d2d9e1f134 amn-96a835f651 amn-222f930b87 amn-32c92bb1fd amn-0ccd70f0f8 amn-7fc057c6b0 amn-8423dc94ee\\"><h3 class=\\"amn-dcb4476c7f amn-bc05470814 amn-c28289cf3c amn-d2cf63c704 amn-3977fe4262 amn-10d3c86f68\\">NATIVE 4K FIDELITY</h3><div class=\\"amn-9952ed3220 amn-f07df86364 amn-16c2539d96 amn-65694092f0 amn-41a0b0dfde\\" data-seo-nano-state=\\"\\" data-seo-closed-class=\\"amn-9952ed3220 amn-f07df86364 amn-16c2539d96 amn-65694092f0 amn-41a0b0dfde\\" data-seo-open-class=\\"amn-9952ed3220 amn-f07df86364 amn-16c2539d96 amn-94f91922a1 amn-984029c1bc amn-33228ff7d5\\"><button type=\\"button\\" class=\\"amn-c3e2d78f3f amn-3694b9c7c4 amn-269cdb78a7 amn-b005d61d09\\" aria-label=\\"Toggle NATIVE 4K FIDELITY\\" aria-expanded=\\"false\\"><svg aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path d=\\"M12 6.75V12M12 12V17.25M12 12H6.75M12 12H17.25\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\"></path></svg></button></div></div><div class=\\"amn-d2d9e1f134 amn-96a835f651 amn-7630be466c amn-c28289cf3c amn-9952ed3220 amn-f07df86364 amn-16c2539d96 amn-d5111d0e9f amn-94f91922a1 amn-f303c4fd8c amn-ba99e9ae20\\" data-seo-nano-state=\\"\\" data-seo-closed-class=\\"amn-d2d9e1f134 amn-96a835f651 amn-7630be466c amn-c28289cf3c amn-9952ed3220 amn-f07df86364 amn-16c2539d96 amn-d5111d0e9f amn-94f91922a1 amn-f303c4fd8c amn-ba99e9ae20\\" data-seo-open-class=\\"amn-d2d9e1f134 amn-96a835f651 amn-7630be466c amn-c28289cf3c amn-9952ed3220 amn-f07df86364 amn-16c2539d96 amn-d5111d0e9f amn-65694092f0 amn-f5e51c64e0 amn-deb87fb0f6\\">Forget upscaling artifacts. Generate crystal-clear images at native 2K with intelligent refinement to 4K. Perfect for print, textures, and macro photography.</div></div></div><div style=\\"--amn-card-w-mobile:calc((min(100vw, 80rem) - 2rem));--amn-card-w-md:calc(((min(100vw, 80rem) - 2rem) - 1rem) / 2);--amn-card-w-lg:calc(((min(100vw, 80rem) - 2rem) - 2rem) / 3)\\" class=\\"amn-70a428d6c2 amn-eafe6b13f3 amn-a44cb4940b\\"><div class=\\"amn-ad936fcbed amn-d2d9e1f134 amn-d5111d0e9f amn-035dbac9f0 amn-
158d0413dd9 amn-25e1240045 amn-d3cea061f2 amn-222f930b87 amn-302c0d124a amn-307644c34d amn-d2fa884896 amn-e1069a2780 amn-48a1d34f1a amn-f07df86364 amn-791c2d0997 amn-9265272d70 amn-c6540e8579 amn-cb32889378\\" data-seo-nano-card=\\"1\\"><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/case-2.webp\\" alt=\\"Interactive card background image\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367 amn-747355bdc2 amn-ce13093ad8 amn-58d0413dd9 amn-57c930dc1c amn-6565c00679 amn-3b96a7600b amn-128c0876a8\\"><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-fbd095b29b amn-f07df86364 amn-16c2539d96 amn-1653578bae\\" data-seo-nano-state=\\"\\" data-seo-closed-class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-fbd095b29b amn-f07df86364 amn-16c2539d96 amn-1653578bae\\" data-seo-open-class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-fbd095b29b amn-f07df86364 amn-16c2539d96 amn-8e801d1a6b\\"></div><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-dba6047ee5 amn-c2d954c59b amn-edae5f0889 amn-b5b8321b32 amn-2cdd01663c amn-f07df86364 amn-16c2539d96 amn-94f91922a1\\" data-seo-nano-state=\\"\\" data-seo-closed-class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-dba6047ee5 amn-c2d954c59b amn-edae5f0889 amn-b5b8321b32 amn-2cdd01663c amn-f07df86364 amn-16c2539d96 amn-94f91922a1\\" data-seo-open-class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-dba6047ee5 amn-c2d954c59b amn-edae5f0889 amn-b5b8321b32 amn-2cdd01663c amn-f07df86364 amn-16c2539d96 amn-65694092f0\\"></div><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-18835da605 amn-c32eb8965d amn-5638a8c88a amn-2cdd01663c amn-f07df86364 amn-16c2539d96 amn-65694092f0\\" data-seo-nano-state=\\"\\" data-seo-closed-class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-18835da605 amn-c32eb8965d amn-5638a8c88a amn-2cdd01663c amn-f07df86364 amn-16c2539d96 amn-65694092f0\\" data-seo-open-class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-18835da605 amn-c32eb8965d amn-5638a8c88a amn-2cdd01663c amn-f07df86364 amn-16c2539d96 amn-94f91922a1\\"></div><div class=\\"amn-d2d9e1f134 amn-96a835f651 amn-222f930b87 amn-32c92bb1fd amn-0ccd70f0f8 amn-7fc057c6b0 amn-8423dc94ee\\"><h3 class=\\"amn-dcb4476c7f amn-bc05470814 amn-c28289cf3c amn-d2cf63c704 amn-3977fe4262 amn-10d3c86f68\\">PERFECT TEXT RENDERING</h3><div class=\\"amn-9952ed3220 amn-f07df86364 amn-16c2539d96 amn-65694092f0 amn-41a0b0dfde\\" data-seo-nano-state=\\"\\" data-seo-closed-class=\\"amn-9952ed3220 amn-f07df86364 amn-16c2539d96 amn-65694092f0 amn-41a0b0dfde\\" data-seo-open-class=\\"amn-9952ed3220 amn-f07df86364 amn-16c2539d96 amn-94f91922a1 amn-984029c1bc amn-33228ff7d5\\"><button type=\\"button\\" class=\\"amn-c3e2d78f3f amn-3694b9c7c4 amn-269cdb78a7 amn-b005d61d09\\" aria-label=\\"Toggle PERFECT TEXT RENDERING\\" aria-expanded=\\"false\\"><svg aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path d=\\"M12 6.75V12M12 12V17.25M12 12H6.75M12 12H17.25\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\"></path></svg></button></div></div><div class=\\"amn-d2d9e1f134 amn-96a835f651 amn-7630be466c amn-c28289cf3c amn-9952ed3220 amn-f07df86364 amn-16c2539d96 amn-d5111d0e9f amn-94f91922a1 amn-f303c4fd8c amn-ba99e9ae20\\" data-seo-nano-state=\\"\\" data-seo-closed-class=\\"amn-d2d9e1f134 amn-96a835f651 amn-7630be466c amn-c28289cf3c amn-9952ed3220 amn-f07df86364 amn-16c2539d96 amn-d5111d0e9f amn-94f91922a1 amn-f303c4fd8c amn-ba99e9ae20\\" data-seo-open-class=\\"amn-d2d9e1f134 amn-96a835f651 amn-7630be466c amn-c28289cf3c amn-9952ed3220 amn-f07df86364 amn-16c2539d96 amn-d5111d0e9f amn-65694092f0 amn-f5e51c64e0 amn-deb87fb0f6\\">Create posters, UI mockups, and logos with legible, accurate typography. The new reasoning core eliminates gibberish, ensuring your text is spelled correctly every time.</div></div></div><div style=\\"--amn-card-w-mobile:calc((min(100vw, 80rem) - 2rem));--amn-card-w-md:calc(((min(100vw, 80rem) - 2rem) - 1rem) / 2);--amn-card-w-lg:calc(((min(100vw, 80rem) - 2rem) - 2rem) / 3)\\" class=\\"amn-70a428d6c2 amn-eafe6b13f3 amn-a44cb4940b\\"><div class=\\"amn-ad936fcbed amn-d2d9e1f134 amn-d5111d0e9f amn-035dbac9f0 amn-
158d0413dd9 amn-25e1240045 amn-d3cea061f2 amn-222f930b87 amn-302c0d124a amn-307644c34d amn-d2fa884896 amn-e1069a2780 amn-48a1d34f1a amn-f07df86364 amn-791c2d0997 amn-9265272d70 amn-c6540e8579 amn-cb32889378\\" data-seo-nano-card=\\"2\\"><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/case-3.webp\\" alt=\\"Interactive card background image\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367 amn-747355bdc2 amn-ce13093ad8 amn-58d0413dd9 amn-57c930dc1c amn-6565c00679 amn-3b96a7600b\\"><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-fbd095b29b amn-f07df86364 amn-16c2539d96 amn-1653578bae\\" data-seo-nano-state=\\"\\" data-seo-closed-class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-fbd095b29b amn-f07df86364 amn-16c2539d96 amn-1653578bae\\" data-seo-open-class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-fbd095b29b amn-f07df86364 amn-16c2539d96 amn-8e801d1a6b\\"></div><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-dba6047ee5 amn-c2d954c59b amn-edae5f0889 amn-b5b8321b32 amn-2cdd01663c amn-f07df86364 amn-16c2539d96 amn-94f91922a1\\" data-seo-nano-state=\\"\\" data-seo-closed-class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-dba6047ee5 amn-c2d954c59b amn-edae5f0889 amn-b5b8321b32 amn-2cdd01663c amn-f07df86364 amn-16c2539d96 amn-94f91922a1\\" data-seo-open-class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-dba6047ee5 amn-c2d954c59b amn-edae5f0889 amn-b5b8321b32 amn-2cdd01663c amn-f07df86364 amn-16c2539d96 amn-65694092f0\\"></div><div class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-18835da605 amn-c32eb8965d amn-5638a8c88a amn-2cdd01663c amn-f07df86364 amn-16c2539d96 amn-65694092f0\\" data-seo-nano-state=\\"\\" data-seo-closed-class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-18835da605 amn-c32eb8965d amn-5638a8c88a amn-2cdd01663c amn-f07df86364 amn-16c2539d96 amn-65694092f0\\" data-seo-open-class=\\"amn-747355bdc2 amn-ce13093ad8 amn-d7efd1b0b0 amn-18835da605 amn-c32eb8965d amn-5638a8c88a amn-2cdd01663c amn-f07df86364 amn-16c2539d96 amn-94f91922a1\\"></div><div class=\\"amn-d2d9e1f134 amn-96a835f651 amn-222f930b87 amn-32c92bb1fd amn-0ccd70f0f8 amn-7fc057c6b0 amn-8423dc94ee\\"><h3 class=\\"amn-dcb4476c7f amn-bc05470814 amn-c28289cf3c amn-d2cf63c704 amn-3977fe4262 amn-10d3c86f68\\">Unmatched GENERATION speed</h3><div class=\\"amn-9952ed3220 amn-f07df86364 amn-16c2539d96 amn-65694092f0 amn-41a0b0dfde\\" data-seo-nano-state=\\"\\" data-seo-closed-class=\\"amn-9952ed3220 amn-f07df86364 amn-16c2539d96 amn-65694092f0 amn-41a0b0dfde\\" data-seo-open-class=\\"amn-9952ed3220 amn-f07df86364 amn-16c2539d96 amn-94f91922a1 amn-984029c1bc amn-33228ff7d5\\"><button type=\\"button\\" class=\\"amn-c3e2d78f3f amn-3694b9c7c4 amn-269cdb78a7 amn-b005d61d09\\" aria-label=\\"Toggle Unmatched GENERATION speed\\" aria-expanded=\\"false\\"><svg aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path d=\\"M12 6.75V12M12 12V17.25M12 12H6.75M12 12H17.25\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\"></path></svg></button></div></div><div class=\\"amn-d2d9e1f134 amn-96a835f651 amn-7630be466c amn-c28289cf3c amn-9952ed3220 amn-f07df86364 amn-16c2539d96 amn-d5111d0e9f amn-94f91922a1 amn-f303c4fd8c amn-ba99e9ae20\\" data-seo-nano-state=\\"\\" data-seo-closed-class=\\"amn-d2d9e1f134 amn-96a835f651 amn-7630be466c amn-c28289cf3c amn-9952ed3220 amn-f07df86364 amn-16c2539d96 amn-d5111d0e9f amn-94f91922a1 amn-f303c4fd8c amn-ba99e9ae20\\" data-seo-open-class=\\"amn-d2d9e1f134 amn-96a835f651 amn-7630be466c amn-c28289cf3c amn-9952ed3220 amn-f07df86364 amn-16c2539d96 amn-d5111d0e9f amn-65694092f0 amn-f5e51c64e0 amn-deb87fb0f6\\">Speed meets consistency. Generate complex scenes in under 10 seconds and maintain 95% character identity across different angles and shots for consistent storytelling.</div></div></div></div></div></div><div class=\\"amn-a503dd374c amn-71556df3b4 amn-08f0549eb6 amn-1fcf28756b amn-dc1d1f5a54 amn-58d0413dd9 amn-e564b4081d amn-06bf886e37\\"><button type=\\"button\\" disabled=\\"\\" aria-label=\\"Previous\\" class=\\"amn-0f2a693e93 amn-a503dd374c amn-71556df3b4 amn-37e9ec872c amn-b005d61d09 amn-2bf0090baa amn-4fb0b00ade amn-31cfaf2223 amn-4f1a55de40 amn-3c57bb1ac5 amn-497d67d50c amn-11effc8072 amn-2cdd01663c amn-fcef85a69a amn-f4e2a5320a amn-3139885795\\" data-seo-scroll=\\"-1\\"><svg width=\\"24\\" height=\\"24\\" viewBox=\\"0 0 24 24\\"><path fill-rule=\\"evenodd\\" clip-rule=\\"evenodd\\" d=\\"M14.5303 7.46967C14.2374 7.17678 13.7626 7.17678 13.4697 7.46967L9.46967 11.4697C9.17678 11.7626 9.17678 12.2374 9.46967 12.5303L13.4697 16.5303C13.7626 16.8232 14.2374 16.8232 14.5303 16.5303C14.8232 16.2374 14.8232 15.7626 14.5303 15.4697L11.0607 12L14.5303 8.53033C14.8232 8.23744 14.8232 7.76256 14.5303 7.46967Z\\" fill=\\"currentColor\\"></path></svg></button><button type=\\"button\\" disabled=\\"\\" aria-label=\\"Next\\" class=\\"amn-0f2a693e93 amn-a503dd374c amn-71556df3b4 amn-37e9ec872c amn-b005d61d09 amn-2bf0090baa amn-4fb0b00ade amn-31cfaf2223 amn-4f1a55de40 amn-3c57bb1ac5 amn-497d67d50c amn-11effc8072 amn-2cdd01663c amn-fcef85a69a amn-f4e2a5320a amn-3139885795\\" data-seo-scroll=\\"1\\"><svg width=\\"24\\" height=\\"24\\" viewBox=\\"0 0 24 24\\" class=\\"amn-faab7d0dd2\\">
1<path fill-rule=\\"evenodd\\" clip-rule=\\"evenodd\\" d=\\"M14.5303 7.46967C14.2374 7.17678 13.7626 7.17678 13.4697 7.46967L9.46967 11.4697C9.17678 11.7626 9.17678 12.2374 9.46967 12.5303L13.4697 16.5303C13.7626 16.8232 14.2374 16.8232 14.5303 16.5303C14.8232 16.2374 14.8232 15.7626 14.5303 15.4697L11.0607 12L14.5303 8.53033C14.8232 8.23744 14.8232 7.76256 14.5303 7.46967Z\\" fill=\\"currentColor\\"></path></svg></button></div></div></div></section>"},{"kind":"tutorial","html":"<div class=\\"amn-d2d9e1f134\\" data-seo-section=\\"tutorial\\"><div aria-hidden=\\"true\\" class=\\"amn-747355bdc2 amn-ce13093ad8 amn-33228ff7d5\\"></div><section class=\\"amn-f9ba32b459 amn-9fbc6bfa73 amn-e0ebf940bd amn-d2d9e1f134\\"><header class=\\"amn-87fa9c16f7 amn-1752f11474 amn-9513b39680 amn-05ab124483 amn-222f930b87 amn-302c0d124a amn-71556df3b4 amn-90fc3ec35a amn-a1d6c0c1f9 amn-dae5d2b3dc amn-203553e5da amn-6133d1d267 amn-ddd816d245\\"><h2 class=\\"amn-dcb4476c7f amn-e0373529bb amn-0670710393 amn-d2cf63c704 amn-e4e1ef2867 amn-220ac1a984 amn-c28289cf3c amn-7921bd86e8 amn-adc523e2f4\\">Generate using the most advanced image model</h2></header><ol class=\\"amn-0f2a693e93 amn-aacb6183f8 amn-d2c2cf991f amn-a42d519714 amn-3f2a1f2e8a amn-561afbec7a amn-ddd816d245\\"><li class=\\"amn-05ab124483\\"><figure style=\\"aspect-ratio:1.1\\" class=\\"amn-ad936fcbed amn-d2d9e1f134 amn-035dbac9f0 amn-58d0413dd9 amn-f5e51c64e0 amn-0516f59ed8 amn-d5111d0e9f\\"><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/step-1.webp\\" alt=\\"Upload Image: Add an optional image to guide the look, character, or environment\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367\\"><figcaption class=\\"amn-e564b4081d\\">Upload Image</figcaption></figure><p class=\\"amn-4fb0b00ade amn-e7e01cc7f4 amn-1fcf28756b amn-7627cc3296 amn-0670710393 amn-da8c9d276e amn-3fa8c57294 amn-c28289cf3c amn-d2cf63c704 amn-02fd0ea53c\\">Step 1</p><h3 class=\\"amn-a42cb3d61a amn-87e86ce38e amn-02fd0ea53c amn-d2cf63c704 amn-dcb4476c7f\\">Upload Image</h3><p class=\\"amn-f996079e2c amn-daaac3fbf5 amn-d5f6c11b70 amn-02fd0ea53c\\">Add an optional image to guide the look, character, or environment</p></li><li class=\\"amn-05ab124483\\"><figure style=\\"aspect-ratio:1.1\\" class=\\"amn-ad936fcbed amn-d2d9e1f134 amn-035dbac9f0 amn-58d0413dd9 amn-f5e51c64e0 amn-0516f59ed8 amn-d5111d0e9f\\"><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/step-2.webp\\" alt=\\"Write Your Prompt: Type a prompt. Model understands the physics, lighting, and emotional intent of your scene\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367\\"><figcaption class=\\"amn-e564b4081d\\">Write Your Prompt</figcaption></figure><p class=\\"amn-4fb0b00ade amn-e7e01cc7f4 amn-1fcf28756b amn-7627cc3296 amn-0670710393 amn-da8c9d276e amn-3fa8c57294 amn-c28289cf3c amn-d2cf63c704 amn-02fd0ea53c\\">Step 2</p><h3 class=\\"amn-a42cb3d61a amn-87e86ce38e amn-02fd0ea53c amn-d2cf63c704 amn-dcb4476c7f\\">Write Your Prompt</h3><p class=\\"amn-f996079e2c amn-daaac3fbf5 amn-d5f6c11b70 amn-02fd0ea53c\\">Type a prompt. Model understands the physics, lighting, and emotional intent of your scene</p></li><li class=\\"amn-05ab124483\\"><figure style=\\"aspect-ratio:1.1\\" class=\\"amn-ad936fcbed amn-d2d9e1f134 amn-035dbac9f0 amn-58d0413dd9 amn-f5e51c64e0 amn-0516f59ed8 amn-d5111d0e9f\\"><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/step-3.webp\\" alt=\\"Start sharing: Click to generate your final output and download production grade image\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367\\"><figcaption class=\\"amn-e564b4081d\\">Start sharing</figcaption></figure><p class=\\"amn-4fb0b00ade amn-e7e01cc7f4 amn-1fcf28756b amn-7627cc3296 amn-0670710393 amn-da8c9d276e amn-3fa8c57294 amn-c28289cf3c amn-d2cf63c704 amn-02fd0ea53c\\">Step 3</p><h3 class=\\"amn-a42cb3d61a amn-87e86ce38e amn-02fd0ea53c amn-d2cf63c704 amn-dcb4476c7f\\">Start sharing</h3><p class=\\"amn-f996079e2c amn-daaac3fbf5 amn-d5f6c11b70 amn-02fd0ea53c\\">Click to generate your final output and download production grade image</p></li></ol><div class=\\"amn-0f2a693e93 amn-a503dd374c\\"><a type=\\"button\\" class=\\"amn-0f2a693e93 amn-244669b7c4 amn-05ab124483 amn-a503dd374c amn-71556df3b4 amn-074569488c amn-be97b11af4 amn-0b0927bbb3 amn-83b85bffe2 amn-6ad537f2bb amn-e5c89bcc64 amn-87e86ce38e amn-c74ab393b9 amn-dae66582cb amn-25e1240045 amn-9fe89a33c5 amn-7c3ddd1e58 amn-3018e217ca\\" data-seo-link=\\"5\\" data-seo-href=\\"__SEO_LINK_5__\\"><svg width=\\"20\\" height=\\"20\\" viewBox=\\"0 0 20 20\\"><path d=\\"m11.852 4.217-.13-.978a.476.476 0 0 0-.943 0l-.13.978A6.41 6.41 0 0 1 5.14 9.724l-.978.13a.476.476 0 0 0 0 .943l.978.13a6.41 6.41 0 0 1 5.507 5.508l.13.978a.476.476 0 0 0 .944 0l.13-.978a6.41 6.41 0 0 1 5.508-5.507l.977-.13a.476.476 0 0 0 0-.944l-.977-.13a6.41 6.41 0 0 1-5.508-5.507Zm-7.2 10.54.169-.549a.188.188 0 0 1 .36 0l.168.549a2.222 2.222 0 0 0 1.47 1.47l.549.169a.188.188 0 0 1 0 .36l-.549.168a2.222 2.222 0 0 0-1.47 1.47l-.169.549a.188.188 0 0 1-.36 0l-.168-.548a2.222 2.222 0 0 0-1.47-1.47l-.549-.17a.188.188 0 0 1 0-.36l.548-.168a2.222 2.222 0 0 0 1.47-1.47Z\\" fill=\\"currentColor\\"></path></svg>Start Now!</a><a type=\\"button\\" class=\\"amn-0f2a693e93 amn-244669b7c4 amn-05ab124483 amn-a503dd374c amn-71556df3b4 amn-074569488c amn-be97b11af4 amn-0b0927bbb3 amn-83b85bffe2 amn-6ad537f2bb amn-e5c89bcc64 amn-87e86ce38e amn-c74ab393b9 amn-dae66582cb amn-25e1240045 amn-9fe89a33c5 amn-7c3ddd1e58 amn-e564b4081d amn-12fe33feb7\\" data-seo-link=\\"6\\" data-seo-href=\\"__SEO_LINK_6__\\"><svg width=\\"20\\" height=\\"20\\" viewBox=\\"0 0 20 20\\"><path d=\\"m11.852 4.217-.13-.978a.476.476 0 0 0-.943 0l-.13.978A6.41 6.41 0 0 1 5.14 9.724l-.978.13a.476.476 0 0 0 0 .943l.978.13a6.41 6.41 0 0 1 5.507 5.508l.13.978a.476.476 0 0 0 .944 0l.13-.978a6.41 6.41 0 0 1 5.508-5.507l.977-.13a.476.476 0 0 0 0-.944l-.977-.13a6.41 6.41 0 0 1-5.508-5.507Zm-7.2 10.54.169-.549a.188.188 0 0 1 .36 0l.168.549a2.222 2.222 0 0 0 1.47 1.47l.549.169a.188.188 0 0 1 0 .36l-.549.168a2.222 2.222 0 0 0-1.47 1.47l-.169.549a.188.188 0 0 1-.36 0l-.168-.548a2.222 2.222 0 0 0-1.47-1.47l-.549-.17a.188.188 0 0 1 0-.36l.548-.168a2.222 2.222 0 0 0 1.47-1.47Z\\" fill=\\"currentColor\\"></path></svg>Start Now!</a></div></section></div>"},{"kind":"workspace","html":"<section data-theme=\\"light\\" class=\\"amn-e0ebf940bd amn-d2d9e1f134\\" data-seo-section=\\"workspace\\"><div aria-hidden=\\"true\\" class=\\"amn-747355bdc2 amn-ce13093ad8 amn-33228ff7d5\\"></div><div class=\\"amn-d51c32ef19\\">
1<div class=\\"amn-a42d519714 amn-d2c2cf991f amn-08a31a346e amn-2a81098af9 amn-f5abd7d04f amn-8dd1eb162a amn-2e20b46de0 amn-d874807fcd\\"><h2 class=\\"amn-dcb4476c7f amn-d2cf63c704 amn-e4e1ef2867 amn-c28289cf3c amn-7921bd86e8 amn-dae5d2b3dc amn-a1d6c0c1f9 amn-bc05470814 amn-7e620f2020 amn-b6969af172 amn-05ab124483 amn-ddd816d245\\">BEYOND THE PROMPT:<br class=\\"amn-e564b4081d amn-5f17e985d6\\">A NEW LEVEL OF CONTROL</h2><div data-theme=\\"dark\\" class=\\"amn-70ddca85bb amn-46fbbbba2d amn-08a31a346e amn-220ac1a984 amn-b065f90dda amn-222f930b87 amn-302c0d124a amn-8c7e0067a9 amn-b741b09519\\"><div class=\\"amn-2671717705\\"><span class=\\"amn-da8c9d276e amn-d2cf63c704 amn-0670710393 amn-3fa8c57294 amn-e7e01cc7f4 amn-1fcf28756b amn-7627cc3296 amn-4fb0b00ade amn-31cfaf2223 amn-c28289cf3c amn-7921bd86e8\\" delay=\\"0.1\\">Intelligent generations</span><h3 class=\\"amn-dcb4476c7f amn-d2cf63c704 amn-e4e1ef2867 amn-c28289cf3c amn-7921bd86e8 amn-dae5d2b3dc amn-a1d6c0c1f9 amn-a9be9367d2 amn-8871a069e7 amn-5f39c0edc6\\" delay=\\"0.2\\">PHYSICS-AWARE REASONING</h3><p class=\\"amn-c28289cf3c amn-7921bd86e8 amn-7627cc3296 amn-1916483b51 amn-bb12464107\\" delay=\\"0.3\\">Unlike standard image generators, the Gemini Flash backbone understands how the world works. From accurate fluid dynamics to complex object relationships, the model simulates gravity and causal logic before it renders a single pixel.</p></div><div><div class=\\"amn-6ad537f2bb amn-f069416d54 amn-d5111d0e9f amn-52e294cf72 amn-b1ab098ea1\\" delay=\\"0.4\\"><figure style=\\"aspect-ratio:1.7524752475247525\\" class=\\"amn-ad936fcbed amn-d2d9e1f134\\"><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/feature-1.webp\\" alt=\\"Advanced Assets Management\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367\\"><figcaption class=\\"amn-e564b4081d\\">Advanced Assets Management</figcaption></figure></div></div></div><div class=\\"amn-e564b4081d amn-06bf886e37 amn-56760b222d amn-d501eac132 amn-df5a7d0198\\"><div class=\\"amn-b5776161da amn-b72f8b7392\\"><span class=\\"amn-da8c9d276e amn-d2cf63c704 amn-0670710393 amn-3fa8c57294 amn-e7e01cc7f4 amn-1fcf28756b amn-7627cc3296 amn-4fb0b00ade amn-31cfaf2223 amn-c28289cf3c amn-7921bd86e8\\" delay=\\"0.1\\">Intelligent generations</span><h3 class=\\"amn-dcb4476c7f amn-d2cf63c704 amn-e4e1ef2867 amn-c28289cf3c amn-7921bd86e8 amn-dae5d2b3dc amn-a1d6c0c1f9 amn-a9be9367d2 amn-8871a069e7 amn-5f39c0edc6\\" delay=\\"0.2\\">PHYSICS-AWARE REASONING</h3><p class=\\"amn-c28289cf3c amn-7921bd86e8 amn-7627cc3296 amn-1916483b51 amn-bb12464107\\" delay=\\"0.3\\">Unlike standard image generators, the Gemini Flash backbone understands how the world works. From accurate fluid dynamics to complex object relationships, the model simulates gravity and causal logic before it renders a single pixel.</p></div>
1<div class=\\"amn-bdfe07f177\\"><div class=\\"amn-6ad537f2bb amn-f069416d54 amn-d5111d0e9f amn-52e294cf72 amn-b1ab098ea1\\" delay=\\"0.4\\"><figure style=\\"aspect-ratio:1.7524752475247525\\" class=\\"amn-ad936fcbed amn-d2d9e1f134\\"><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/feature-1.webp\\" alt=\\"Advanced Assets Management\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367\\"><figcaption class=\\"amn-e564b4081d\\">Advanced Assets Management</figcaption></figure></div></div></div></div></div><div class=\\"amn-a42d519714 amn-d2c2cf991f amn-19d05598c3 amn-5ea51637c2 amn-b5edc3ea7c\\"><div data-theme=\\"dark\\" class=\\"amn-70ddca85bb amn-46fbbbba2d amn-08a31a346e amn-220ac1a984 amn-b065f90dda amn-222f930b87 amn-302c0d124a amn-8c7e0067a9 amn-b741b09519\\"><div class=\\"amn-2671717705\\"><span class=\\"amn-da8c9d276e amn-d2cf63c704 amn-0670710393 amn-3fa8c57294 amn-e7e01cc7f4 amn-1fcf28756b amn-7627cc3296 amn-4fb0b00ade amn-31cfaf2223 amn-c28289cf3c amn-7921bd86e8\\" delay=\\"0.1\\">Data Visualization</span><h3 class=\\"amn-dcb4476c7f amn-d2cf63c704 amn-e4e1ef2867 amn-c28289cf3c amn-7921bd86e8 amn-dae5d2b3dc amn-a1d6c0c1f9 amn-a9be9367d2 amn-8871a069e7 amn-5f39c0edc6\\" delay=\\"0.2\\">DATA & UI VISUALIZATION</h3><p class=\\"amn-c28289cf3c amn-7921bd86e8 amn-7627cc3296 amn-1916483b51 amn-bb12464107\\" delay=\\"0.3\\">Generate accurate infographics, dashboard mockups, and presentation slides in seconds. Nano Banana 2's superior spatial understanding ensures labels align perfectly with data points.</p></div><div><div class=\\"amn-6ad537f2bb amn-f069416d54 amn-d5111d0e9f amn-52e294cf72 amn-b1ab098ea1\\" delay=\\"0.4\\"><figure style=\\"aspect-ratio:1.7524752475247525\\" class=\\"amn-ad936fcbed amn-d2d9e1f134\\"><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/feature-2.webp\\" alt=\\"Access Management\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367\\"><figcaption class=\\"amn-e564b4081d\\">Access Management</figcaption></figure></div></div></div><div class=\\"amn-e564b4081d amn-06bf886e37 amn-56760b222d amn-d501eac132 amn-df5a7d0198\\"><div class=\\"amn-b5776161da amn-b72f8b7392 amn-fc40dcecbc\\"><span class=\\"amn-da8c9d276e amn-d2cf63c704 amn-0670710393 amn-3fa8c57294 amn-e7e01cc7f4 amn-1fcf28756b amn-7627cc3296 amn-4fb0b00ade amn-31cfaf2223 amn-c28289cf3c amn-7921bd86e8\\" delay=\\"0.1\\">Data Visualization</span><h3 class=\\"amn-dcb4476c7f amn-d2cf63c704 amn-e4e1ef2867 amn-c28289cf3c amn-7921bd86e8 amn-dae5d2b3dc amn-a1d6c0c1f9 amn-a9be9367d2 amn-8871a069e7 amn-5f39c0edc6\\" delay=\\"0.2\\">DATA & UI VISUALIZATION</h3><p class=\\"amn-c28289cf3c amn-7921bd86e8 amn-7627cc3296 amn-1916483b51 amn-bb12464107\\" delay=\\"0.3\\">Generate accurate infographics, dashboard mockups, and presentation slides in seconds. Nano Banana 2's superior spatial understanding ensures labels align perfectly with data points.</p></div>
1<div class=\\"amn-bdfe07f177 amn-89febf003d\\"><div class=\\"amn-6ad537f2bb amn-f069416d54 amn-d5111d0e9f amn-52e294cf72 amn-b1ab098ea1\\" delay=\\"0.4\\"><figure style=\\"aspect-ratio:1.7524752475247525\\" class=\\"amn-ad936fcbed amn-d2d9e1f134\\"><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/feature-2.webp\\" alt=\\"Access Management\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367\\"><figcaption class=\\"amn-e564b4081d\\">Access Management</figcaption></figure></div></div></div></div><div class=\\"amn-d51c32ef19\\"><div class=\\"amn-a42d519714 amn-d2c2cf991f amn-b065f90dda amn-231b4e18c1 amn-a65096cb9c amn-a2a467b900 amn-6f5acb6c72 amn-072e326c4f\\"><div data-theme=\\"dark\\" class=\\"amn-70ddca85bb amn-46fbbbba2d amn-08a31a346e amn-220ac1a984 amn-b065f90dda amn-222f930b87 amn-302c0d124a amn-8c7e0067a9 amn-b741b09519\\"><div class=\\"amn-2671717705\\"><span class=\\"amn-da8c9d276e amn-d2cf63c704 amn-0670710393 amn-3fa8c57294 amn-e7e01cc7f4 amn-1fcf28756b amn-7627cc3296 amn-4fb0b00ade amn-31cfaf2223 amn-c28289cf3c amn-7921bd86e8\\" delay=\\"0.1\\">VISUAL LOCALIZATION</span><h3 class=\\"amn-dcb4476c7f amn-d2cf63c704 amn-e4e1ef2867 amn-c28289cf3c amn-7921bd86e8 amn-dae5d2b3dc amn-a1d6c0c1f9 amn-a9be9367d2 amn-8871a069e7 amn-5f39c0edc6\\" delay=\\"0.2\\">NATIVE MULTILINGUAL RENDERING</h3><p class=\\"amn-c28289cf3c amn-7921bd86e8 amn-7627cc3296 amn-1916483b51 amn-bb12464107\\" delay=\\"0.3\\">Unlike standard image generators, the Gemini Flash backbone understands how the world works. From accurate fluid dynamics to complex object relationships, the model simulates gravity and causal logic before it renders a single pixel.</p><a type=\\"button\\" class=\\"amn-0f2a693e93 amn-244669b7c4 amn-05ab124483 amn-a503dd374c amn-71556df3b4 amn-074569488c amn-be97b11af4 amn-4f1a55de40 amn-3c57bb1ac5 amn-46fbbbba2d amn-c28289cf3c amn-6ad537f2bb amn-e5c89bcc64 amn-87e86ce38e amn-c74ab393b9 amn-dae66582cb amn-25e1240045 amn-9fe89a33c5 amn-7c3ddd1e58 amn-ff6e57b41c amn-3018e217ca\\" data-seo-link=\\"7\\" data-seo-href=\\"__SEO_LINK_7__\\">Start Now!</a><a type=\\"button\\" class=\\"amn-0f2a693e93 amn-244669b7c4 amn-05ab124483 amn-a503dd374c amn-71556df3b4 amn-074569488c amn-be97b11af4 amn-4f1a55de40 amn-3c57bb1ac5 amn-46fbbbba2d amn-c28289cf3c amn-6ad537f2bb amn-e5c89bcc64 amn-87e86ce38e amn-c74ab393b9 amn-dae66582cb amn-25e1240045 amn-9fe89a33c5 amn-7c3ddd1e58 amn-ff6e57b41c amn-1e49ec84fe amn-e564b4081d amn-12fe33feb7\\" data-seo-link=\\"8\\" data-seo-href=\\"__SEO_LINK_8__\\">Start Now!</a></div><div><div class=\\"amn-6ad537f2bb amn-f069416d54 amn-d5111d0e9f amn-52e294cf72 amn-b1ab098ea1\\" delay=\\"0.4\\"><figure style=\\"aspect-ratio:1.7524752475247525\\" class=\\"amn-ad936fcbed amn-d2d9e1f134\\"><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/feature-3.webp\\" alt=\\"Collaboration platform\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367\\"><figcaption class=\\"amn-e564b4081d\\">Collaboration platform</figcaption></figure></div></div></div><div class=\\"amn-e564b4081d amn-06bf886e37 amn-56760b222d amn-d501eac132 amn-df5a7d0198\\"><div class=\\"amn-b5776161da amn-b72f8b7392\\"><span class=\\"amn-da8c9d276e amn-d2cf63c704 amn-0670710393 amn-3fa8c57294 amn-e7e01cc7f4 amn-1fcf28756b amn-7627cc3296 amn-4fb0b00ade amn-31cfaf2223 amn-c28289cf3c amn-7921bd86e8\\" delay=\\"0.1\\">VISUAL LOCALIZATION</span><h3 class=\\"amn-dcb4476c7f amn-d2cf63c704 amn-e4e1ef2867 amn-c28289cf3c amn-7921bd86e8 amn-dae5d2b3dc amn-a1d6c0c1f9 amn-a9be9367d2 amn-8871a069e7 amn-5f39c0edc6\\" delay=\\"0.2\\">NATIVE MULTILINGUAL RENDERING</h3><p class=\\"amn-c28289cf3c amn-7921bd86e8 amn-7627cc3296 amn-1916483b51 amn-bb12464107\\" delay=\\"0.3\\">Unlike standard image generators, the Gemini Flash backbone understands how the world works. From accurate fluid dynamics to complex object relationships, the model simulates gravity and causal logic before it renders a single pixel.</p><a type=\\"button\\" class=\\"amn-0f2a693e93 amn-244669b7c4 amn-05ab124483 amn-a503dd374c amn-71556df3b4 amn-074569488c amn-be97b11af4 amn-4f1a55de40 amn-3c57bb1ac5 amn-46fbbbba2d amn-c28289cf3c amn-6ad537f2bb amn-e5c89bcc64 amn-87e86ce38e amn-c74ab393b9 amn-dae66582cb amn-25e1240045 amn-9fe89a33c5 amn-7c3ddd1e58 amn-ff6e57b41c amn-3018e217ca\\" data-seo-link=\\"9\\" data-seo-href=\\"__SEO_LINK_9__\\">Start Now!</a><a type=\\"button\\" class=\\"amn-0f2a693e93 amn-244669b7c4 amn-05ab124483 amn-a503dd374c amn-71556df3b4 amn-074569488c amn-be97b11af4 amn-4f1a55de40 amn-3c57bb1ac5 amn-46fbbbba2d amn-c28289cf3c amn-6ad537f2bb amn-e5c89bcc64 amn-87e86ce38e amn-c74ab393b9 amn-dae66582cb amn-25e1240045 amn-9fe89a33c5 amn-7c3ddd1e58 amn-ff6e57b41c amn-1e49ec84fe amn-e564b4081d amn-12fe33feb7\\" data-seo-link=\\"10\\" data-seo-href=\\"__SEO_LINK_10__\\">Start Now!</a></div>
1<div class=\\"amn-bdfe07f177\\"><div class=\\"amn-6ad537f2bb amn-f069416d54 amn-d5111d0e9f amn-52e294cf72 amn-b1ab098ea1\\" delay=\\"0.4\\"><figure style=\\"aspect-ratio:1.7524752475247525\\" class=\\"amn-ad936fcbed amn-d2d9e1f134\\"><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/feature-3.webp\\" alt=\\"Collaboration platform\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367\\"><figcaption class=\\"amn-e564b4081d\\">Collaboration platform</figcaption></figure></div></div></div></div></div></section>"},{"kind":"showcase","html":"<div data-theme=\\"light\\" class=\\"amn-d2d9e1f134\\" data-seo-section=\\"showcase\\"><div aria-hidden=\\"true\\" class=\\"amn-747355bdc2 amn-ce13093ad8 amn-33228ff7d5\\"></div><section class=\\"amn-9513b39680 amn-85094b1c80 amn-58d0413dd9 amn-1752f11474 amn-e0ebf940bd amn-f9ba32b459 amn-9fbc6bfa73 amn-1b093bc47c\\"><header class=\\"amn-a42d519714 amn-05ab124483 amn-ddd816d245\\"></header><figure style=\\"aspect-ratio:2.024024024024024\\" class=\\"amn-ad936fcbed amn-d2d9e1f134 amn-d5111d0e9f amn-afea71dbec amn-39dc729f5c amn-58d0413dd9 amn-4f1a55de40 amn-b60873a008 amn-3c57bb1ac5 amn-ddd816d245\\" data-seo-flux-figure=\\"\\" data-seo-showcase-aspect=\\"1348/666\\"><div class=\\"amn-d2d9e1f134 amn-d5111d0e9f amn-57c930dc1c\\" data-seo-flux-desktop=\\"\\"><video muted=\\"\\" playsinline=\\"\\" class=\\"amn-58d0413dd9 amn-57c930dc1c amn-6ed4912367 amn-afea71dbec amn-4f1a55de40 amn-3c57bb1ac5 amn-cf404c5276\\" src=\\"https://static.higgsfield.ai/nano-banana-2/generation-1.webp\\" poster=\\"https://static.higgsfield.ai/nano-banana-2/generation-1.webp\\" style=\\"transform:scale(0.72)\\" data-seo-flux-showcase-video=\\"\\" data-seo-managed-media=\\"\\" data-seo-source=\\"https://static.higgsfield.ai/nano-banana-2/generation-1.webp\\" aria-label=\\"Nano image showcase\\"></video></div></figure><div class=\\"amn-0f2a693e93 amn-244669b7c4 amn-a503dd374c amn-d7db3451d1\\"><div class=\\"amn-9c99a6b0e8 amn-244669b7c4 amn-074569488c amn-71556df3b4 amn-0f9e667291 amn-fcc20a1096 amn-1752f11474 amn-b005d61d09 amn-46fbbbba2d amn-64fe29effb amn-4f1a55de40 amn-3c57bb1ac5\\"><button type=\\"button\\" data-index=\\"0\\" class=\\"amn-d5111d0e9f amn-d2d9e1f134 amn-88b262cd97 amn-b005d61d09 amn-f07df86364 amn-9952ed3220 amn-f8e5d9d464 amn-02be38d09e amn-b1eb4437f0 amn-1c27f91caa amn-1fb07b38c6 amn-6cab6fdc9a amn-853be6c116 amn-fb2af5fe0e\\" data-seo-flux-example=\\"0\\" data-seo-active-class=\\"amn-d5111d0e9f amn-d2d9e1f134 amn-88b262cd97 amn-b005d61d09 amn-f07df86364 amn-9952ed3220 amn-f8e5d9d464 amn-02be38d09e amn-b1eb4437f0 amn-1c27f91caa amn-1fb07b38c6 amn-6cab6fdc9a amn-853be6c116 amn-fb2af5fe0e\\" data-seo-idle-class=\\"amn-d5111d0e9f amn-d2d9e1f134 amn-88b262cd97 amn-b005d61d09 amn-f07df86364 amn-9952ed3220 amn-f8e5d9d464 amn-02be38d09e amn-0712570dcc amn-2b64c33132\\" data-seo-source=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/generation-1.webp\\" aria-label=\\"Select item 1\\" aria-pressed=\\"true\\"><div style=\\"opacity:1\\" class=\\"amn-4261433e1b amn-8a9ba9e59a amn-3b8c7c2043 amn-29f60b7d95 amn-3daa473959\\" data-seo-preload=\\"\\"></div><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/generation-1.webp\\" alt=\\"Select item 0\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367\\"></button><button type=\\"button\\" data-index=\\"1\\" class=\\"amn-d5111d0e9f amn-d2d9e1f134 amn-88b262cd97 amn-b005d61d09 amn-f07df86364 amn-9952ed3220 amn-f8e5d9d464 amn-02be38d09e amn-0712570dcc amn-2b64c33132\\" data-seo-flux-example=\\"1\\" data-seo-active-class=\\"amn-d5111d0e9f amn-d2d9e1f134 amn-88b262cd97 amn-b005d61d09 amn-f07df86364 amn-9952ed3220 amn-f8e5d9d464 amn-02be38d09e amn-b1eb4437f0 amn-1c27f91caa amn-1fb07b38c6 amn-6cab6fdc9a amn-853be6c116 amn-fb2af5fe0e\\" data-seo-idle-class=\\"amn-d5111d0e9f amn-d2d9e1f134 amn-88b262cd97 amn-b005d61d09 amn-f07df86364 amn-9952ed3220 amn-f8e5d9d464 amn-02be38d09e amn-0712570dcc amn-2b64c33132\\" data-seo-source=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/generation-2.webp\\" aria-label=\\"Select item 2\\" aria-pressed=\\"false\\"><div style=\\"opacity:1\\" class=\\"amn-4261433e1b amn-8a9ba9e59a amn-3b8c7c2043 amn-29f60b7d95 amn-3daa473959\\" data-seo-preload=\\"\\"></div><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/generation-2.webp\\" alt=\\"Select item 1\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367\\"></button><button type=\\"button\\" data-index=\\"2\\" class=\\"amn-d5111d0e9f amn-d2d9e1f134 amn-88b262cd97 amn-b005d61d09 amn-f07df86364 amn-9952ed3220 amn-f8e5d9d464 amn-02be38d09e amn-0712570dcc amn-2b64c33132\\" data-seo-flux-example=\\"2\\" data-seo-active-class=\\"amn-d5111d0e9f amn-d2d9e1f134 amn-88b262cd97 amn-b005d61d09 amn-f07df86364 amn-9952ed3220 amn-f8e5d9d464 amn-02be38d09e amn-b1eb4437f0 amn-1c27f91caa amn-1fb07b38c6 amn-6cab6fdc9a amn-853be6c116 amn-fb2af5fe0e\\" data-seo-idle-class=\\"amn-d5111d0e9f amn-d2d9e1f134 amn-88b262cd97 amn-b005d61d09 amn-f07df86364 amn-9952ed3220 amn-f8e5d9d464 amn-02be38d09e amn-0712570dcc amn-2b64c33132\\" data-seo-source=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/generation-3.webp\\" aria-label=\\"Select item 3\\" aria-pressed=\\"false\\"><div style=\\"opacity:1\\" class=\\"amn-4261433e1b amn-8a9ba9e59a amn-3b8c7c2043 amn-29f60b7d95 amn-3daa473959\\" data-seo-preload=\\"\\"></div><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/generation-3.webp\\" alt=\\"Select item 2\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367\\"></button><button type=\\"button\\" data-index=\\"3\\" class=\\"amn-d5111d0e9f amn-d2d9e1f134 amn-88b262cd97 amn-b005d61d09 amn-f07df86364 amn-9952ed3220 amn-f8e5d9d464 amn-02be38d09e amn-0712570dcc amn-2b64c33132\\" data-seo-flux-example=\\"3\\" data-seo-active-class=\\"amn-d5111d0e9f amn-d2d9e1f134 amn-88b262cd97 amn-b005d61d09 amn-f07df86364 amn-9952ed3220 amn-f8e5d9d464 amn-02be38d09e amn-b1eb4437f0 amn-1c27f91caa amn-1fb07b38c6 amn-6cab6fdc9a amn-853be6c116 amn-fb2af5fe0e\\" data-seo-idle-class=\\"amn-d5111d0e9f amn-d2d9e1f134 amn-88b262cd97 amn-b005d61d09 amn-f07df86364 amn-9952ed3220 amn-f8e5d9d464 amn-02be38d09e amn-0712570dcc amn-2b64c33132\\" data-seo-source=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/generation-4.webp\\" aria-label=\\"Select item 4\\" aria-pressed=\\"false\\"><div style=\\"opacity:1\\" class=\\"amn-4261433e1b amn-8a9ba9e59a amn-3b8c7c2043 amn-29f60b7d95 amn-3daa473959\\" data-seo-preload=\\"\\"></div><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/generation-4.webp\\" alt=\\"Select item 3\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367\\"></button><button type=\\"button\\" data-index=\\"4\\" class=\\"amn-d5111d0e9f amn-d2d9e1f134 amn-88b262cd97 amn-b005d61d09 amn-f07df86364 amn-9952ed3220 amn-f8e5d9d464 amn-02be38d09e amn-0712570dcc amn-2b64c33132\\" data-seo-flux-example=\\"4\\" data-seo-active-class=\\"amn-d5111d0e9f amn-d2d9e1f134 amn-88b262cd97 amn-b005d61d09 amn-f07df86364 amn-9952ed3220 amn-f8e5d9d464 amn-02be38d09e amn-b1eb4437f0 amn-1c27f91caa amn-1fb07b38c6 amn-6cab6fdc9a amn-853be6c116 amn-fb2af5fe0e\\" data-seo-idle-class=\\"amn-d5111d0e9f amn-d2d9e1f134 amn-88b262cd97 amn-b005d61d09 amn-f07df86364 amn-9952ed3220 amn-f8e5d9d464 amn-02be38d09e amn-0712570dcc amn-2b64c33132\\" data-seo-source=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/generation-5.webp\\" aria-label=\\"Select item 5\\" aria-pressed=\\"false\\"><div style=\\"opacity:1\\" class=\\"amn-4261433e1b amn-8a9ba9e59a amn-3b8c7c2043 amn-29f60b7d95 amn-3daa473959\\" data-seo-preload=\\"\\"></div><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/generation-5.webp\\" alt=\\"Select item 4\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367\\"></button><button type=\\"button\\" data-index=\\"5\\" class=\\"amn-d5111d0e9f amn-d2d9e1f134 amn-88b262cd97 amn-b005d61d09 amn-f07df86364 amn-9952ed3220 amn-f8e5d9d464 amn-02be38d09e amn-0712570dcc amn-2b64c33132\\" data-seo-flux-example=\\"5\\" data-seo-active-class=\\"amn-d5111d0e9f amn-d2d9e1f134 amn-88b262cd97 amn-b005d61d09 amn-f07df86364 amn-9952ed3220 amn-f8e5d9d464 amn-02be38d09e amn-b1eb4437f0 amn-1c27f91caa amn-1fb07b38c6 amn-6cab6fdc9a amn-853be6c116 amn-fb2af5fe0e\\" data-seo-idle-class=\\"amn-d5111d0e9f amn-d2d9e1f134 amn-88b262cd97 amn-b005d61d09 amn-f07df86364 amn-9952ed3220 amn-f8e5d9d464 amn-02be38d09e amn-0712570dcc amn-2b64c33132\\" data-seo-source=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/generation-6.webp\\" aria-label=\\"Select item 6\\" aria-pressed=\\"false\\"><div style=\\"opacity:1\\" class=\\"amn-4261433e1b amn-8a9ba9e59a amn-3b8c7c2043 amn-29f60b7d95 amn-3daa473959\\" data-seo-preload=\\"\\"></div><img src=\\"https://higgsfield.ai/cdn-cgi/image/fit=scale-down,format=webp,onerror=redirect,width=1920,quality=85/https://static.higgsfield.ai/nano-banana-2/generation-6.webp\\" alt=\\"Select item 5\\" loading=\\"lazy\\" decoding=\\"async\\" style=\\"position:absolute;inset:0;width:100%;height:100%\\" class=\\"amn-6ed4912367\\"></button></div></div><div class=\\"amn-222f930b87 amn-302c0d124a amn-90fc3ec35a amn-71556df3b4 amn-f2bd784fd4\\"><div class=\\"amn-222f930b87 amn-302c0d124a amn-08f0549eb6 amn-71556df3b4\\"></div></div></section></div>"},{"kind":"reviews","html":"<section data-theme=\\"light\\" class=\\"amn-d2d9e1f134 amn-d5111d0e9f amn-9513b39680 amn-b7f39944bb amn-0324a099d8 amn-0e65bf5c9d amn-1198f0071e amn-7eea8611e7\\" data-seo-review-source=\\"https://higgsfield.ai/nano-banana-intro\\" title=\\"Adapted from feedback published by Higgsfield. Names and ratings refer to the source, not verified customers of this site.\\" data-seo-section=\\"reviews\\"><div class=\\"amn-1752f11474 amn-222f930b87 amn-58d0413dd9 amn-17ccc08e40 amn-302c0d124a amn-81f36edf08 am
1n-244ecba6fe\\"><div class=\\"amn-222f930b87 amn-58d0413dd9 amn-302c0d124a amn-b9677bd1cb amn-8c7e0067a9 amn-56760b222d amn-55c4df0938 amn-18e7a06a66\\"><div class=\\"amn-222f930b87 amn-799fadb2a3 amn-302c0d124a amn-b9677bd1cb amn-d7db3451d1 amn-148e760832\\"><h2 class=\\"amn-dcb4476c7f amn-d2cf63c704 amn-e4e1ef2867 amn-7921bd86e8 amn-dae5d2b3dc amn-a1d6c0c1f9 amn-bc05470814 amn-7e620f2020 amn-b6969af172 amn-799fadb2a3 amn-3a12d38cc2 amn-b123a6f236 amn-9ca55a41d1 amn-2c41f607be amn-aff5e1ac5b amn-f168f2db1c amn-0773001f00\\">What Creators Are Saying</h2><p class=\\"amn-1cdde0be53 amn-b902257d46 amn-86bcc14820 amn-d7a00562c1 amn-ae0b402b9e\\">From first projects to everyday creative work, these highlights from __SITE_BRAND__ creator reviews explore the tools, workflows and support that made a difference.</p></div></div><div class=\\"amn-d2d9e1f134 amn-58d0413dd9\\"><div class=\\"amn-d2d9e1f134 amn-751d7f5e12 amn-814d567ba4 amn-91ea3f72be amn-648993fbb2 amn-9a420e7cf9 amn-ae765c40ae\\"><div class=\\"amn-26ac9b83f7 amn-58d0413dd9 amn-25a90a2d78 amn-78e8e15ae1 amn-b40bd2e015 amn-0569931d14 amn-d9d8e691f6 amn-26e84cde0c amn-7d6ef106c6\\" data-seo-viewport=\\"reviews\\"><div class=\\"amn-222f930b87 amn-1a3b2d1103 amn-2bf6510f13\\"><div aria-hidden=\\"true\\" data-review-slide=\\"true\\" class=\\"amn-dfdbd55041 amn-222f930b87 amn-27ead27a81 amn-8609b9c80e amn-1bf5cee6f5 amn-48c120f278\\"><article class=\\"amn-222f930b87 amn-9e70cd8105 amn-48c120f278 amn-302c0d124a amn-d5111d0e9f amn-040c0e0ee5 amn-4f1a55de40 amn-588daa1a98 amn-d9d8e691f6 amn-4b4ed10864 amn-2456318e77 amn-7eea8611e7\\"><header class=\\"amn-222f930b87 amn-184ddc11e5 amn-71556df3b4 amn-32c92bb1fd amn-d7db3451d1 amn-99df86594a\\"><div class=\\"amn-222f930b87 amn-184ddc11e5 amn-71556df3b4 amn-b4cb68eabf\\"><div class=\\"amn-d2d9e1f134 amn-0f2a693e93 amn-3a365fa643 amn-27ead27a81 amn-4446c26b62 amn-d5111d0e9f amn-b005d61d09 amn-4f1a55de40 amn-b902257d46 amn-0670710393 amn-001783f88e amn-00c17a759c amn-83b85bffe2\\"><div aria-hidden=\\"true\\" class=\\"amn-33228ff7d5 amn-747355bdc2 amn-ce13093ad8 amn-a8cb6cd839 amn-c8107da97f amn-4e0f6baf38\\"></div><span class=\\"amn-d2d9e1f134 amn-418e44ad4f amn-05ab124483 amn-b2ccc21e7c amn-4d38456632\\">A</span><div aria-hidden=\\"true\\" class=\\"amn-33228ff7d5 amn-747355bdc2 amn-ce13093ad8 amn-a8cb6cd839 amn-054ba8602b\\"></div></div><div class=\\"amn-184ddc11e5\\"><span class=\\"amn-496aca80e4 amn-5a3a4ee420 amn-b902257d46 amn-83b85bffe2\\">Alexandre</span></div></div><div class=\\"amn-222f930b87 amn-27ead27a81 amn-71556df3b4 amn-074569488c\\" aria-label=\\"Rated 5 out of 5\\"><svg aria-hidden=\\"true\\" class=\\"amn-2b43bdcd73\\" fill=\\"none\\" viewBox=\\"0 0 18 18\\"><defs><linearGradient id=\\"review-star-light-filled-0\\" x1=\\"9.00096\\" x2=\\"9.00096\\" y1=\\"0.75\\" y2=\\"15.7508\\" gradientUnits=\\"userSpaceOnUse\\"><stop stop-color=\\"var(--amn-color-neutral-primary)\\" stop-opacity=\\"0.3\\"></stop><stop offset=\\"0.462743\\" stop-color=\\"var(--amn-color-neutral-primary)\\" stop-opacity=\\"0.2\\"></stop><stop offset=\\"1\\" stop-color=\\"var(--amn-color-neutral-primary)\\" stop-opacity=\\"1\\"></stop></linearGradient></defs><path d=\\"M10.0216 1.39117C9.61091 0.536274 8.39104 0.536276 7.98026 1.39117L6.20667 5.08281C6.2048 5.0867 6.20273 5.09138 6.19845 5.09194L2.11124 5.62704C1.16939 5.75035 0.785349 6.91176 1.48112 7.56772L4.46922 10.3849C4.47056 10.3862 4.47044 10.3876 4.47044 10.3876L3.72002 14.4127C3.54493 15.3518 4.53887 16.0614 5.3708 15.6129L8.99674 13.6583C8.99929 13.657 9.00259 13.657 9.00514 13.6583L12.6311 15.6129C13.4631 16.0614 14.457 15.3518 14.2819 14.4127L13.5315 10.3876C13.5315 10.3876 13.5313 10.3862 13.5327 10.3849L16.5208 7.56772C17.2166 6.91176 16.8325 5.75035 15.8907 5.62704L11.8035 5.09194C11.7992 5.09137 11.7971 5.0867 11.7953 5.08282L10.0216 1.39117Z\\" fill=\\"var(--amn-color-neutral-primary)\\" fill-opacity=\\"0.7\\"></path><path d=\\"M8.43066 1.60742C8.65991 1.13059 9.34218 1.13066 9.57129 1.60742L11.3447 5.2998C11.3502 5.31126 11.3702 5.35105 11.3975 5.3877C11.4356 5.43889 11.5236 5.53439 11.6709 5.5
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119 14.4127L13.5315 10.3876C13.5315 10.3876 13.5313 10.3862 13.5327 10.3849L16.5208 7.56772C17.2166 6.91176 16.8325 5.75035 15.8907 5.62704L11.8035 5.09194C11.7992 5.09137 11.7971 5.0867 11.7953 5.08282L10.0216 1.39117Z\\" fill=\\"var(--amn-color-neutral-primary)\\" fill-opacity=\\"0.7\\"></path><path d=\\"M8.43066 1.60742C8.65991 1.13059 9.34218 1.13066 9.57129 1.60742L11.3447 5.2998C11.3502 5.31126 11.3702 5.35105 11.3975 5.3877C11.4356 5.43889 11.5236 5.53439 11.6709 5.57422L11.7383 5.58789L15.8262 6.12305C16.3545 6.19256 16.5632 6.84073 16.1777 7.2041L13.1895 10.0215C13.1102 10.0963 13.0669 10.185 13.0469 10.2637C13.0373 10.3012 13.0336 10.3354 13.0322 10.3643C13.0316 10.3788 13.0318 10.3928 13.0322 10.4053C13.0325 10.4115 13.0328 10.418 13.0332 10.4238C13.0334 10.4265 13.033 10.4291 13.0332 10.4316C13.0333 10.433 13.034 10.4352 13.0342 10.4365V10.4395L13.5312 10.3877L13.0342 10.4404L13.0361 10.46L13.04 10.4795L13.79 14.5039C13.8867 15.0225 13.337 15.4256 12.8682 15.1729L9.24219 13.2178L9.23926 13.2168L9.18164 13.1904C9.04577 13.1388 8.8929 13.1478 8.7627 13.2168L8.75977 13.2178L5.13379 15.1729C4.66502 15.4256 4.11522 15.0225 4.21191 14.5039L4.96191 10.4795L4.9668 10.4541L4.96875 10.4297V10.4287V10.4258C4.96884 10.4246 4.96964 10.4231 4.96973 10.4219C4.96991 10.4191 4.96958 10.4159 4.96973 10.4131C4.97001 10.4075 4.97061 10.4016 4.9707 10.3955C4.9709 10.3833 4.97063 10.3697 4.96973 10.3555C4.96793 10.3273 4.96285 10.2942 4.95312 10.2578C4.93288 10.1821 4.89072 10.0958 4.81348 10.0225L4.8125 10.0215L1.82422 7.2041C1.43876 6.8407 1.64746 6.19252 2.17578 6.12305L6.26367 5.58789C6.45213 5.56311 6.56083 5.44624 6.60449 5.3877C6.63186 5.35097 6.65178 5.31125 6.65723 5.2998L8.43066 1.60742Z\\" stroke=\\"url(#review-star-light-filled-4)\\" style=\\"mix-blend-mode:overlay\\"></path></svg></div></header><div class=\\"amn-d2d9e1f134 amn-222f930b87 amn-d7ca8a36d0 amn-adca514641 amn-d5111d0e9f amn-06b1fe8da8 amn-c432836760 amn-2a09bd1f0a amn-7eea8611e7 amn-2c85cc5ee8\\"><p class=\\"amn-d2d9e1f134 amn-418e44ad4f amn-b902257d46 amn-30d0fd9405 amn-83b85bffe2\\">An approachable interface, clearly organized tools and fast cloud rendering stand out to Freissy Mediaart. Across numerous image and video projects, the creator reports being pleased with the results.</p><div aria-hidden=\\"true\\" class=\\"amn-33228ff7d5 amn-747355bdc2 amn-ce13093ad8 amn-4e8f0a87a0 amn-a8cb6cd839 amn-4f1a55de40 amn-427b0386ad amn-7d6ef106c6 amn-f26170c07f\\"></div></div><div></div><div></div></article></div><div aria-hidden=\\"true\\" data-review-slide=\\"true\\" class=\\"amn-dfdbd55041 amn-222f930b87 amn-27ead27a81 amn-8609b9c80e amn-1bf5cee6f5 amn-48c120f278\\"><article class=\\"amn-222f930b87 amn-9e70cd8105 amn-48c120f278 amn-302c0d124a amn-d5111d0e9f amn-040c0e0ee5 amn-4f1a55de40 amn-588daa1a98 amn-d9d8e691f6 amn-4b4ed10864 amn-2456318e77 amn-7eea8611e7\\"><header class=\\"amn-222f930b87 amn-184ddc11e5 amn-71556df3b4 amn-32c92bb1fd amn-d7db3451d1 amn-99df86594a\\"><div class=\\"amn-222f930b87 amn-184ddc11e5 amn-71556df3b4 amn-b4cb68eabf\\"><div class=\\"amn-d2d9e1f134 amn-0f2a693e93 amn-3a365fa643 amn-27ead27a81 amn-4446c26b62 amn-d5111d0e9f amn-b005d61d09 amn-4f1a55de40 amn-b902257d46 amn-0670710393 amn-001783f88e amn-00c17a759c amn-83b85bffe2\\"><div aria-hidden=\\"true\\" class=\\"amn-33228ff7d5 amn-747355bdc2 amn-ce13093ad8 amn-a8cb6cd839 amn-c8107da97f amn-4e0f6baf38\\"></div><span class=\\"amn-d2d9e1f134 amn-418e44ad4f amn-05ab124483 amn-b2ccc21e7c amn-4d38456632\\">LE</span><div aria-hidden=\\"true\\" class=\\"amn-33228ff7d5 amn-747355bdc2 amn-ce13093ad8 amn-a8cb6cd839 amn-054ba8602b\\"></div></div><div class=\\"amn-184ddc11e5\\"><span class=\\"amn-496aca80e4 amn-5a3a4ee420 amn-b902257d46 amn-83b85bffe2\\">Ls estúdios</span></div></div><div class=\\"amn-222f930b87 amn-27ead27a81 amn-71556df3b4 amn-074569488c\\" aria-label=\\"Rated 5 out of 5\\"><svg aria-hidden=\\"true\\" class=\\"amn-2b43bdcd73\\" fill=\\"none\\" viewBox=\\"0 0 18 18\\"><defs><linearGradient id=\\"review-star-light-filled-0\\" x1=\\"9.00096\\" x2=\\"9.00096\\" y1=\\"0.75\\" y2=\\"15.7508\\" gradientUnits=\\"userSpaceOnUse\\"><stop stop-color=\\"var(--amn-color-neutral-primary)\\" stop-opacity=\\"0.3\\"></stop><stop offset=\\"0.462743\\" stop-color=\\"var(--amn-color-neutral-primary)\\" stop-opacity=\\"0.2\\"></stop><stop offset=\\"1\\" stop-color=\\"var(--amn-color-neutral-primary)\\" stop-opacity=\\"1\\"></stop></linearGradient></defs><path d=\\"M10.0216 1.39117C9.61091 0.536274 8.39104 0.536276 7.98026 1.39117L6.20667 5.08281C6.2048 5.0867 6.20273 5.09138 6.19845 5.09194L2.11124 5.62704C1.16939 5.75035 0.785349 6.91176 1.48112 7.56772L4.46922 10.3849C4.47056 10.3862 4.47044 10.3876 4.47044 10.3876L3.72002 14.4127C3.54493 15.3518 4.53887 16.0614 5.3708 15.6129L8.99674 13.6583C8.99929 13.657 9.00259 13.657 9.00514 13.6583L12.6311 15.6129C13.4631 16.0614 14.457 15.3518 14.28
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119 14.4127L13.5315 10.3876C13.5315 10.3876 13.5313 10.3862 13.5327 10.3849L16.5208 7.56772C17.2166 6.91176 16.8325 5.75035 15.8907 5.62704L11.8035 5.09194C11.7992 5.09137 11.7971 5.0867 11.7953 5.08282L10.0216 1.39117Z\\" fill=\\"var(--amn-color-neutral-primary)\\" fill-opacity=\\"0.7\\"></path><path d=\\"M8.43066 1.60742C8.65991 1.13059 9.34218 1.13066 9.57129 1.60742L11.3447 5.2998C11.3502 5.31126 11.3702 5.35105 11.3975 5.3877C11.4356 5.43889 11.5236 5.53439 11.6709 5.57422L11.7383 5.58789L15.8262 6.12305C16.3545 6.19256 16.5632 6.84073 16.1777 7.2041L13.1895 10.0215C13.1102 10.0963 13.0669 10.185 13.0469 10.2637C13.0373 10.3012 13.0336 10.3354 13.0322 10.3643C13.0316 10.3788 13.0318 10.3928 13.0322 10.4053C13.0325 10.4115 13.0328 10.418 13.0332 10.4238C13.0334 10.4265 13.033 10.4291 13.0332 10.4316C13.0333 10.433 13.034 10.4352 13.0342 10.4365V10.4395L13.5312 10.3877L13.0342 10.4404L13.0361 10.46L13.04 10.4795L13.79 14.5039C13.8867 15.0225 13.337 15.4256 12.8682 15.1729L9.24219 13.2178L9.23926 13.2168L9.18164 13.1904C9.04577 13.1388 8.8929 13.1478 8.7627 13.2168L8.75977 13.2178L5.13379 15.1729C4.66502 15.4256 4.11522 15.0225 4.21191 14.5039L4.96191 10.4795L4.9668 10.4541L4.96875 10.4297V10.4287V10.4258C4.96884 10.4246 4.96964 10.4231 4.96973 10.4219C4.96991 10.4191 4.96958 10.4159 4.96973 10.4131C4.97001 10.4075 4.97061 10.4016 4.9707 10.3955C4.9709 10.3833 4.97063 10.3697 4.96973 10.3555C4.96793 10.3273 4.96285 10.2942 4.95312 10.2578C4.93288 10.1821 4.89072 10.0958 4.81348 10.0225L4.8125 10.0215L1.82422 7.2041C1.43876 6.8407 1.64746 6.19252 2.17578 6.12305L6.26367 5.58789C6.45213 5.56311 6.56083 5.44624 6.60449 5.3877C6.63186 5.35097 6.65178 5.31125 6.65723 5.2998L8.43066 1.60742Z\\" stroke=\\"url(#review-star-light-filled-4)\\" style=\\"mix-blend-mode:overlay\\"></path></svg></div></header><div class=\\"amn-d2d9e1f134 amn-222f930b87 amn-d7ca8a36d0 amn-adca514641 amn-d5111d0e9f amn-06b1fe8da8 amn-c432836760 amn-2a09bd1f0a amn-7eea8611e7 amn-2c85cc5ee8\\"><p class=\\"amn-d2d9e1f134 amn-418e44ad4f amn-b902257d46 amn-30d0fd9405 amn-83b85bffe2\\">Deyo D puts creator-program support at the center of the experience. Professional, approachable help with questions makes the team feel invested in creators and their progress.</p><div aria-hidden=\\"true\\" class=\\"amn-33228ff7d5 amn-747355bdc2 amn-ce13093ad8 amn-4e8f0a87a0 amn-a8cb6cd839 amn-4f1a55de40 amn-427b0386ad amn-7d6ef106c6 amn-f26170c07f\\"></div></div><div></div><div></div></article></div></div></div></div><div class=\\"amn-222f930b87 amn-a503dd374c amn-71556df3b4 amn-c221af54a3 amn-9f9763f399 amn-034aa9a12e amn-cd3174671d amn-206b54fc30 amn-0f0e886659 amn-6776c24a9e amn-c03228d577 amn-0ed16954b7 amn-e67f428b82 amn-2cf968c3a3 amn-4328ce1dd7\\"><button type=\\"button\\" aria-label=\\"Previous\\" class=\\"amn-0f2a693e93 amn-a503dd374c amn-71556df3b4 amn-37e9ec872c amn-b005d61d09 amn-2bf0090baa amn-31cfaf2223 amn-4f1a55de40 amn-11effc8072 amn-2cdd01663c amn-fcef85a69a amn-3139885795 amn-2456318e77 amn-4e0f6baf38 amn-ae0b402b9e amn-303df9875c\\" data-seo-scroll=\\"-1\\"><svg width=\\"24\\" height=\\"24\\" viewBox=\\"0 0 24 24\\"><path fill-rule=\\"evenodd\\" clip-rule=\\"evenodd\\" d=\\"M14.5303 7.46967C14.2374 7.17678 13.7626 7.17678 13.4697 7.46967L9.46967 11.4697C9.17678 11.7626 9.17678 12.2374 9.46967 12.5303L13.4697 16.5303C13.7626 16.8232 14.2374 16.8232 14.5303 16.5303C14.8232 16.2374 14.8232 15.7626 14.5303 15.4697L11.0607 12L14.5303 8.53033C14.8232 8.23744 14.8232 7.76256 14.5303 7.46967Z\\" fill=\\"currentColor\\"></path></svg></button><button type=\\"button\\" aria-label=\\"Next\\" class=\\"amn-0f2a693e93 amn-a503dd374c amn-71556df3b4 amn-37e9ec872c amn-b005d61d09 amn-2bf0090baa amn-31cfaf2223 amn-4f1a55de40 amn-11effc8072 amn-2cdd01663c amn-fcef85a69a amn-3139885795 amn-2456318e77 amn-4e0f6baf38 amn-ae0b402b9e amn-303df9875c\\" data-seo-scroll=\\"1\\"><svg width=\\"24\\" height=\\"24\\" viewBox=\\"0 0 24 24\\" class=\\"amn-faab7d0dd2\\">
1<path fill-rule=\\"evenodd\\" clip-rule=\\"evenodd\\" d=\\"M14.5303 7.46967C14.2374 7.17678 13.7626 7.17678 13.4697 7.46967L9.46967 11.4697C9.17678 11.7626 9.17678 12.2374 9.46967 12.5303L13.4697 16.5303C13.7626 16.8232 14.2374 16.8232 14.5303 16.5303C14.8232 16.2374 14.8232 15.7626 14.5303 15.4697L11.0607 12L14.5303 8.53033C14.8232 8.23744 14.8232 7.76256 14.5303 7.46967Z\\" fill=\\"currentColor\\"></path></svg></button></div></div><div class=\\"amn-222f930b87 amn-302c0d124a amn-71556df3b4 amn-a503dd374c amn-d7db3451d1 amn-bd85140e6a\\"><div class=\\"amn-222f930b87 amn-71556df3b4 amn-20f79e5581\\"><img src=\\"https://static.higgsfield.ai/nano-banana-2/review-1.webp\\" alt=\\"\\" class=\\"amn-c37b81f394 amn-b005d61d09 amn-4f1a55de40 amn-46fbbbba2d amn-6ed4912367 amn-42e1ec64b7\\"><img src=\\"https://static.higgsfield.ai/nano-banana-2/review-2.webp\\" alt=\\"\\" class=\\"amn-c37b81f394 amn-b005d61d09 amn-4f1a55de40 amn-46fbbbba2d amn-6ed4912367 amn-42e1ec64b7\\"><img src=\\"https://static.higgsfield.ai/nano-banana-2/review-3.webp\\" alt=\\"\\" class=\\"amn-c37b81f394 amn-b005d61d09 amn-4f1a55de40 amn-46fbbbba2d amn-6ed4912367 amn-42e1ec64b7\\"><img src=\\"https://static.higgsfield.ai/nano-banana-2/review-4.webp\\" alt=\\"\\" class=\\"amn-c37b81f394 amn-b005d61d09 amn-4f1a55de40 amn-46fbbbba2d amn-6ed4912367 amn-42e1ec64b7\\"></div><p class=\\"amn-b902257d46 amn-86bcc14820 amn-d5f6c11b70\\">Trusted by<!-- --> <span>5.000+ people worldwide</span></p></div></div></section>"},{"kind":"cta","html":"<section data-theme=\\"light\\" class=\\"amn-e0ebf940bd amn-f9ba32b459 amn-9fbc6bfa73 amn-1b093bc47c amn-9513b39680 amn-85094b1c80 amn-d2d9e1f134\\" data-seo-section=\\"cta\\"><div aria-hidden=\\"true\\" class=\\"amn-747355bdc2 amn-ce13093ad8 amn-33228ff7d5\\"></div><div data-theme=\\"dark\\" class=\\"amn-46fbbbba2d amn-d810d1111e amn-220ac1a984 amn-d2c2cf991f amn-1752f11474 amn-2e3a4a4f12 amn-222f930b87 amn-302c0d124a amn-9f9763f399 amn-71556df3b4 amn-05ab124483 amn-d2d9e1f134 amn-d5111d0e9f\\"><img src=\\"https://static.higgsfield.ai/nano-banana-2/bg-2-v2.webp\\" alt=\\"\\" class=\\"amn-747355bdc2 amn-751d7f5e12 amn-832dd39946 amn-98599e4ee2 amn-58d0413dd9 amn-6ed4912367\\"><span class=\\"amn-da8c9d276e amn-d2cf63c704 amn-0670710393 amn-3fa8c57294 amn-e7e01cc7f4 amn-1fcf28756b amn-7627cc3296 amn-4fb0b00ade amn-31cfaf2223 amn-c28289cf3c amn-7921bd86e8\\">THE WAIT IS FINALLY OVER</span><h2 class=\\"amn-dcb4476c7f amn-d2cf63c704 amn-e4e1ef2867 amn-c28289cf3c amn-7921bd86e8 amn-dae5d2b3dc amn-a1d6c0c1f9 amn-bc05470814 amn-7e620f2020 amn-b6969af172 amn-0b7e63b919 amn-d2d9e1f134\\">EXPERIENCE PERFECTION<br class=\\"amn-e564b4081d amn-5f17e985d6\\">with Nano Banana</h2><p class=\\"amn-7921bd86e8 amn-7627cc3296 amn-1916483b51 amn-bb12464107 amn-d2d9e1f134 amn-d5f6c11b70 amn-d428dcb8d4\\">Switch to reasoning-guided synthesis today. Be the first in your industry to deliver native 4K results at 10x the speed.</p><a type=\\"button\\" class=\\"amn-0f2a693e93 amn-244669b7c4 amn-05ab124483 amn-a503dd374c amn-71556df3b4 amn-074569488c amn-be97b11af4 amn-0b0927bbb3 amn-83b85bffe2 amn-6ad537f2bb amn-e5c89bcc64 amn-87e86ce38e amn-c74ab393b9 amn-dae66582cb amn-25e1240045 amn-9fe89a33c5 amn-7c3ddd1e58 amn-d2d9e1f134 amn-418e44ad4f amn-3018e217ca\\" data-seo-link=\\"11\\" data-seo-href=\\"__SEO_LINK_11__\\">Start Generating!</a><a type=\\"button\\" class=\\"amn-0f2a693e93 amn-244669b7c4 amn-05ab124483 amn-a503dd374c amn-71556df3b4 amn-074569488c amn-be97b11af4 amn-0b0927bbb3 amn-83b85bffe2 amn-6ad537f2bb amn-e5c89bcc64 amn-87e86ce38e amn-c74ab393b9 amn-dae66582cb amn-25e1240045 amn-9fe89a33c5 amn-7c3ddd1e58 amn-d2d9e1f134 amn-418e44ad4f amn-e564b4081d amn-12fe33feb7\\" data-seo-link=\\"12\\" data-seo-href=\\"__SEO_LINK_12__\\">Start Generating!</a></div></section>"},{"kind":"pricing","html":""},{"kind":"faq","html":"<div class=\\"amn-d2d9e1f134\\" data-seo-section=\\"faq\\"><div aria-hidden=\\"true\\" class=\\"amn-747355bdc2 amn-ce13093ad8 amn-33228ff7d5\\"></div><section data-theme=\\"dark\\" class=\\"amn-f9ba32b459 amn-9fbc6bfa73 amn-e0ebf940bd amn-58d0413dd9 amn-ae765c40ae amn-80f8cf5ea5 amn-9513b39680 amn-656a624b6c amn-c28289cf3c amn-e3aab0a907 amn-4a7f5eeb91 amn-60ec8774a4\\"><header class=\\"amn-87fa9c16f7 amn-1752f11474 amn-9513b39680 amn-05ab124483 amn-222f930b87 amn-302c0d124a amn-71556df3b4 amn-90fc3ec35a amn-a1d6c0c1f9 amn-dae5d2b3dc amn-203553e5da amn-6133d1d267 amn-00b04d268b amn-58d0413dd9 amn-0a307d744a amn-0841b78a9d amn-987d81cba7 amn-f86ad2d18f\\"><h2 class=\\"amn-dcb4476c7f amn-e0373529bb amn-0670710393 amn-d2cf63c704 amn-e4e1ef2867 amn-220ac1a984 amn-c28289cf3c amn-7921bd86e8 amn-adc523e2f4 amn-987d81cba7 amn-0fb5522303 amn-e71c77691a amn-e7f6bc4b71\\">Still have questions?</h2><p class=\\"amn-7630be466c amn-d5f6c11b70 amn-e4e1ef2867 amn-32fb090591\\">Weâve answered the most frequently asked questions</p></header><div class=\\"amn-1752f11474 amn-58d0413dd9 amn-af5d615180\\"><details class=\\"amn-e68f164ed5 amn-ad936fcbed amn-d5111d0e9f\\" open=\\"\\"><summary class=\\"amn-222f930b87 amn-58d0413dd9 amn-d2fa884896 amn-bae566d754 amn-71556df3b4 amn-32c92bb1fd amn-90fc3ec35a amn-b5edc3ea7c amn-b902257d46 amn-bfafdcdcd0 amn-87e86ce38e amn-70250f0caa amn-c28289cf3c amn-40e9690fb6 amn-3910657f32 amn-ef1dc61534 amn-2366f0afa4\\"><span class=\\"amn-184ddc11e5 amn-1a5d10977b\\">What is Nano Banana Pro?</span><svg width=\\"24\\" height=\\"24\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\" class=\\"amn-0712570dcc amn-27ead27a81 amn-e108d7746f amn-ed5b23cbf9\\"><path stroke=\\"currentColor\\" stroke-linecap=\\"round\\" stroke-width=\\"1.5\\" d=\\"M12 5.25V12m0 0v6.75M12 12H5.25M12 12h6.75\\"></path></svg><svg class=\\"amn-e564b4081d amn-0712570dcc amn-27ead27a81 amn-749f34202d amn-249642e66
17\\" aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path d=\\"M6.75 12H17.25\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\"></path></svg></summary><div class=\\"amn-074cda750c amn-cc8cba0776 amn-b902257d46 amn-86bcc14820 amn-d5f6c11b70 amn-073ad3bd84\\">Nano Banana Pro is Googleâs flagship image generation model, technically known as Gemini 3 Pro Image. Built on the Gemini 3 Pro reasoning backbone, it functions less like a traditional diffusion model and more like a digital art director â analyzing your prompt for semantic logic, physical causality, and spatial relationships before rendering. The result: native 2K output that intelligently upscales to 4K with a 16-bit color pipeline, accurate text rendering, and the highest compositional ceiling Google offers for image generation.</div></details><details class=\\"amn-e68f164ed5 amn-ad936fcbed amn-d5111d0e9f\\"><summary class=\\"amn-222f930b87 amn-58d0413dd9 amn-d2fa884896 amn-bae566d754 amn-71556df3b4 amn-32c92bb1fd amn-90fc3ec35a amn-b5edc3ea7c amn-b902257d46 amn-bfafdcdcd0 amn-87e86ce38e amn-70250f0caa amn-c28289cf3c amn-40e9690fb6 amn-3910657f32 amn-ef1dc61534 amn-2366f0afa4\\"><span class=\\"amn-184ddc11e5 amn-1a5d10977b\\">What is Nano Banana 2?</span><svg width=\\"24\\" height=\\"24\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\" class=\\"amn-0712570dcc amn-27ead27a81 amn-e108d7746f amn-ed5b23cbf9\\"><path stroke=\\"currentColor\\" stroke-linecap=\\"round\\" stroke-width=\\"1.5\\" d=\\"M12 5.25V12m0 0v6.75M12 12H5.25M12 12h6.75\\"></path></svg><svg class=\\"amn-e564b4081d amn-0712570dcc amn-27ead27a81 amn-749f34202d amn-249642e667\\" aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path d=\\"M6.75 12H17.25\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\"></path></svg></summary><div class=\\"amn-074cda750c amn-cc8cba0776 amn-b902257d46 amn-86bcc14820 amn-d5f6c11b70 amn-073ad3bd84\\">Nano Banana 2 is Googleâs latest image model, technically Gemini 3.1 Flash Image. It takes the advanced reasoning, world knowledge, and quality of Nano Banana Pro and delivers them at Flash speed â generating images in seconds rather than the deliberate âthinkingâ pass Pro performs. With resolutions from 512px to 4K, character consistency for up to 5 subjects, 14-object fidelity, and exclusive Image Search Grounding for real-world accuracy, itâs built for rapid iteration and high-volume creative work.</div></details><details class=\\"amn-e68f164ed5 amn-ad936fcbed amn-d5111d0e9f\\"><summary class=\\"amn-222f930b87 amn-58d0413dd9 amn-d2fa884896 amn-bae566d754 amn-71556df3b4 amn-32c92bb1fd amn-90fc3ec35a amn-b5edc3ea7c amn-b902257d46 amn-bfafdcdcd0 amn-87e86ce38e amn-70250f0caa amn-c28289cf3c amn-40e9690fb6 amn-3910657f32 amn-ef1dc61534 amn-2366f0afa4\\"><span class=\\"amn-184ddc11e5 amn-1a5d10977b\\">Whatâs the difference between Nano Banana Pro and Nano Banana 2?</span><svg width=\\"24\\" height=\\"24\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\" class=\\"amn-0712570dcc amn-27ead27a81 amn-e108d7746f amn-ed5b23cbf9\\"><path stroke=\\"currentColor\\" stroke-linecap=\\"round\\" stroke-width=\\"1.5\\" d=\\"M12 5.25V12m0 0v6.75M12 12H5.25M12 12h6.75\\"></path></svg><svg class=\\"amn-e564b4081d amn-0712570dcc amn-27ead27a81 amn-749f34202d amn-249642e667\\" aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path d=\\"M6.75 12H17.25\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\"></path></svg></summary><div class=\\"amn-074cda750c amn-cc8cba0776 amn-b902257d46 amn-86bcc14820 amn-d5f6c11b70 amn-073ad3bd84\\">Same family, different priorities. Nano Banana Pro is built for maximum reasoning depth, fine typography, and the highest compositional ceiling â best when quality matters more than speed. Nano Banana 2 brings most of those Pro capabilities to Flash-level speed at a lower cost. Pro is for craftsmanship, Banana 2 is for momentum.</div></details>
1<details class=\\"amn-e68f164ed5 amn-ad936fcbed amn-d5111d0e9f\\"><summary class=\\"amn-222f930b87 amn-58d0413dd9 amn-d2fa884896 amn-bae566d754 amn-71556df3b4 amn-32c92bb1fd amn-90fc3ec35a amn-b5edc3ea7c amn-b902257d46 amn-bfafdcdcd0 amn-87e86ce38e amn-70250f0caa amn-c28289cf3c amn-40e9690fb6 amn-3910657f32 amn-ef1dc61534 amn-2366f0afa4\\"><span class=\\"amn-184ddc11e5 amn-1a5d10977b\\">Which model should I use?</span><svg width=\\"24\\" height=\\"24\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\" class=\\"amn-0712570dcc amn-27ead27a81 amn-e108d7746f amn-ed5b23cbf9\\"><path stroke=\\"currentColor\\" stroke-linecap=\\"round\\" stroke-width=\\"1.5\\" d=\\"M12 5.25V12m0 0v6.75M12 12H5.25M12 12h6.75\\"></path></svg><svg class=\\"amn-e564b4081d amn-0712570dcc amn-27ead27a81 amn-749f34202d amn-249642e667\\" aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path d=\\"M6.75 12H17.25\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\"></path></svg></summary><div class=\\"amn-074cda750c amn-cc8cba0776 amn-b902257d46 amn-86bcc14820 amn-d5f6c11b70 amn-073ad3bd84\\">Use Nano Banana 2 for rapid prototyping, batch generation, real-time editing, social content, and high-volume work â itâs significantly faster and cheaper, with quality very close to Pro in everyday use. Use Nano Banana Pro for hero images, packaging design, complex multi-element scenes, fine print typography, and any high-stakes deliverable where the quality ceiling matters more than speed. Many teams on __SITE_BRAND__ run a tiered workflow: Banana 2 to explore, Pro to finalize.</div></details><details class=\\"amn-e68f164ed5 amn-ad936fcbed amn-d5111d0e9f\\"><summary class=\\"amn-222f930b87 amn-58d0413dd9 amn-d2fa884896 amn-bae566d754 amn-71556df3b4 amn-32c92bb1fd amn-90fc3ec35a amn-b5edc3ea7c amn-b902257d46 amn-bfafdcdcd0 amn-87e86ce38e amn-70250f0caa amn-c28289cf3c amn-40e9690fb6 amn-3910657f32 amn-ef1dc61534 amn-2366f0afa4\\"><span class=\\"amn-184ddc11e5 amn-1a5d10977b\\">How much faster is Nano Banana 2?</span><svg width=\\"24\\" height=\\"24\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\" class=\\"amn-0712570dcc amn-27ead27a81 amn-e108d7746f amn-ed5b23cbf9\\"><path stroke=\\"currentColor\\" stroke-linecap=\\"round\\" stroke-width=\\"1.5\\" d=\\"M12 5.25V12m0 0v6.75M12 12H5.25M12 12h6.75\\"></path></svg><svg class=\\"amn-e564b4081d amn-0712570dcc amn-27ead27a81 amn-749f34202d amn-249642e667\\" aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path d=\\"M6.75 12H17.25\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\"></path></svg></summary><div class=\\"amn-074cda750c amn-cc8cba0776 amn-b902257d46 amn-86bcc14820 amn-d5f6c11b70 amn-073ad3bd84\\">Nano Banana 2 generates images roughly 2â3x faster than Pro on Flash-optimized inference. In practice, thatâs seconds per image versus the more deliberate âthinkingâ pass Pro performs to reason through spatial relationships, lighting, and composition.</div></details><details class=\\"amn-e68f164ed5 amn-ad936fcbed amn-d5111d0e9f\\"><summary class=\\"amn-222f930b87 amn-58d0413dd9 amn-d2fa884896 amn-bae566d754 amn-71556df3b4 amn-32c92bb1fd amn-90fc3ec35a amn-b5edc3ea7c amn-b902257d46 amn-bfafdcdcd0 amn-87e86ce38e amn-70250f0caa amn-c28289cf3c amn-40e9690fb6 amn-3910657f32 amn-ef1dc61534 amn-2366f0afa4\\"><span class=\\"amn-184ddc11e5 amn-1a5d10977b\\">Do they produce the same quality?</span><svg width=\\"24\\" height=\\"24\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\" class=\\"amn-0712570dcc amn-27ead27a81 amn-e108d7746f amn-ed5b23cbf9\\"><path stroke=\\"currentColor\\" stroke-linecap=\\"round\\" stroke-width=\\"1.5\\" d=\\"M12 5.25V12m0 0v6.75M12 12H5.25M12 12h6.75\\"></path></svg><svg class=\\"amn-e564b4081d amn-0712570dcc amn-27ead27a81 amn-749f34202d amn-249642e667\\" aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path d=\\"M6.75 12H17.25\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\"></path></svg></summary><div class=\\"amn-074cda750c amn-cc8cba0776 amn-b902257d46 amn-86bcc14820 amn-d5f6c11b70 amn-073ad3bd84\\">For most prompts, the gap is small â Banana 2 reaches near-Pro quality on typical scenarios. Pro pulls ahead on complex compositions with strict spatial logic, fine typography on packaging or print, and dense multi-subject scenes where every relationship needs to be precise. If you canât tell the difference in your use case, use Banana 2.</div></details>
1<details class=\\"amn-e68f164ed5 amn-ad936fcbed amn-d5111d0e9f\\"><summary class=\\"amn-222f930b87 amn-58d0413dd9 amn-d2fa884896 amn-bae566d754 amn-71556df3b4 amn-32c92bb1fd amn-90fc3ec35a amn-b5edc3ea7c amn-b902257d46 amn-bfafdcdcd0 amn-87e86ce38e amn-70250f0caa amn-c28289cf3c amn-40e9690fb6 amn-3910657f32 amn-ef1dc61534 amn-2366f0afa4\\"><span class=\\"amn-184ddc11e5 amn-1a5d10977b\\">What resolutions do they support?</span><svg width=\\"24\\" height=\\"24\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\" class=\\"amn-0712570dcc amn-27ead27a81 amn-e108d7746f amn-ed5b23cbf9\\"><path stroke=\\"currentColor\\" stroke-linecap=\\"round\\" stroke-width=\\"1.5\\" d=\\"M12 5.25V12m0 0v6.75M12 12H5.25M12 12h6.75\\"></path></svg><svg class=\\"amn-e564b4081d amn-0712570dcc amn-27ead27a81 amn-749f34202d amn-249642e667\\" aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path d=\\"M6.75 12H17.25\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\"></path></svg></summary><div class=\\"amn-074cda750c amn-cc8cba0776 amn-b902257d46 amn-86bcc14820 amn-d5f6c11b70 amn-073ad3bd84\\">Nano Banana 2 generates from 512px up to 4K, with multiple aspect ratios â including a unique ultra-low-cost tier for high-volume work. Nano Banana Pro renders natively at 2K and intelligently upscales to 4K using a 16-bit color pipeline for richer gradients and reduced banding.</div></details><details class=\\"amn-e68f164ed5 amn-ad936fcbed amn-d5111d0e9f\\"><summary class=\\"amn-222f930b87 amn-58d0413dd9 amn-d2fa884896 amn-bae566d754 amn-71556df3b4 amn-32c92bb1fd amn-90fc3ec35a amn-b5edc3ea7c amn-b902257d46 amn-bfafdcdcd0 amn-87e86ce38e amn-70250f0caa amn-c28289cf3c amn-40e9690fb6 amn-3910657f32 amn-ef1dc61534 amn-2366f0afa4\\"><span class=\\"amn-184ddc11e5 amn-1a5d10977b\\">Can either model render readable text?</span><svg width=\\"24\\" height=\\"24\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\" class=\\"amn-0712570dcc amn-27ead27a81 amn-e108d7746f amn-ed5b23cbf9\\"><path stroke=\\"currentColor\\" stroke-linecap=\\"round\\" stroke-width=\\"1.5\\" d=\\"M12 5.25V12m0 0v6.75M12 12H5.25M12 12h6.75\\"></path></svg><svg class=\\"amn-e564b4081d amn-0712570dcc amn-27ead27a81 amn-749f34202d amn-249642e667\\" aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path d=\\"M6.75 12H17.25\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\"></path></svg></summary><div class=\\"amn-074cda750c amn-cc8cba0776 amn-b902257d46 amn-86bcc14820 amn-d5f6c11b70 amn-073ad3bd84\\">Yes â text is a first-class element in both. Youâll get clean typography for headlines, product names, UI mockups, and packaging. Both also handle in-image translation and localization across languages and scripts. Pro has a slight edge on intricate typography and complex layouts; Banana 2 is fully production-ready for most marketing and social use cases.</div></details><details class=\\"amn-e68f164ed5 amn-ad936fcbed amn-d5111d0e9f\\"><summary class=\\"amn-222f930b87 amn-58d0413dd9 amn-d2fa884896 amn-bae566d754 amn-71556df3b4 amn-32c92bb1fd amn-90fc3ec35a amn-b5edc3ea7c amn-b902257d46 amn-bfafdcdcd0 amn-87e86ce38e amn-70250f0caa amn-c28289cf3c amn-40e9690fb6 amn-3910657f32 amn-ef1dc61534 amn-2366f0afa4\\"><span class=\\"amn-184ddc11e5 amn-1a5d10977b\\">What about character and object consistency?</span><svg width=\\"24\\" height=\\"24\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\" class=\\"amn-0712570dcc amn-27ead27a81 amn-e108d7746f amn-ed5b23cbf9\\"><path stroke=\\"currentColor\\" stroke-linecap=\\"round\\" stroke-width=\\"1.5\\" d=\\"M12 5.25V12m0 0v6.75M12 12H5.25M12 12h6.75\\"></path></svg><svg class=\\"amn-e564b4081d amn-0712570dcc amn-27ead27a81 amn-749f34202d amn-249642e667\\" aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path d=\\"M6.75 12H17.25\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\"></path></svg></summary><div class=\\"amn-074cda750c amn-cc8cba0776 amn-b902257d46 amn-86bcc14820 amn-d5f6c11b70 amn-073ad3bd84\\">Both models maintain consistency for up to 5 characters and fidelity of up to 14 objects in a single workflow. This makes them practical for storyboarding, multi-character scenes, branded campaigns, and any project where identity has to hold across frames.</div></details>
1<details class=\\"amn-e68f164ed5 amn-ad936fcbed amn-d5111d0e9f\\"><summary class=\\"amn-222f930b87 amn-58d0413dd9 amn-d2fa884896 amn-bae566d754 amn-71556df3b4 amn-32c92bb1fd amn-90fc3ec35a amn-b5edc3ea7c amn-b902257d46 amn-bfafdcdcd0 amn-87e86ce38e amn-70250f0caa amn-c28289cf3c amn-40e9690fb6 amn-3910657f32 amn-ef1dc61534 amn-2366f0afa4\\"><span class=\\"amn-184ddc11e5 amn-1a5d10977b\\">Does either model use real-world knowledge?</span><svg width=\\"24\\" height=\\"24\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\" class=\\"amn-0712570dcc amn-27ead27a81 amn-e108d7746f amn-ed5b23cbf9\\"><path stroke=\\"currentColor\\" stroke-linecap=\\"round\\" stroke-width=\\"1.5\\" d=\\"M12 5.25V12m0 0v6.75M12 12H5.25M12 12h6.75\\"></path></svg><svg class=\\"amn-e564b4081d amn-0712570dcc amn-27ead27a81 amn-749f34202d amn-249642e667\\" aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path d=\\"M6.75 12H17.25\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\"></path></svg></summary><div class=\\"amn-074cda750c amn-cc8cba0776 amn-b902257d46 amn-86bcc14820 amn-d5f6c11b70 amn-073ad3bd84\\">Both pull from Geminiâs world knowledge for accurate rendering of landmarks, public figures, brands, and specific subjects. Nano Banana 2 also supports Image Search Grounding â it can retrieve real reference images from Google Search during generation to boost factual accuracy on specific subjects.</div></details><details class=\\"amn-e68f164ed5 amn-ad936fcbed amn-d5111d0e9f\\"><summary class=\\"amn-222f930b87 amn-58d0413dd9 amn-d2fa884896 amn-bae566d754 amn-71556df3b4 amn-32c92bb1fd amn-90fc3ec35a amn-b5edc3ea7c amn-b902257d46 amn-bfafdcdcd0 amn-87e86ce38e amn-70250f0caa amn-c28289cf3c amn-40e9690fb6 amn-3910657f32 amn-ef1dc61534 amn-2366f0afa4\\"><span class=\\"amn-184ddc11e5 amn-1a5d10977b\\">Can I edit existing images with these models?</span><svg width=\\"24\\" height=\\"24\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\" class=\\"amn-0712570dcc amn-27ead27a81 amn-e108d7746f amn-ed5b23cbf9\\"><path stroke=\\"currentColor\\" stroke-linecap=\\"round\\" stroke-width=\\"1.5\\" d=\\"M12 5.25V12m0 0v6.75M12 12H5.25M12 12h6.75\\"></path></svg><svg class=\\"amn-e564b4081d amn-0712570dcc amn-27ead27a81 amn-749f34202d amn-249642e667\\" aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path d=\\"M6.75 12H17.25\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\"></path></svg></summary><div class=\\"amn-074cda750c amn-cc8cba0776 amn-b902257d46 amn-86bcc14820 amn-d5f6c11b70 amn-073ad3bd84\\">Yes. On __SITE_BRAND__, both models power precise editing workflows including Banana Placement for product insertion, Nano Banana Pro Inpaint for structure-preserving local edits, and multi-reference composition. Brush over an area, describe the change or upload a reference, and the model handles seamless blending without disturbing the rest of the image.</div></details><details class=\\"amn-e68f164ed5 amn-ad936fcbed amn-d5111d0e9f\\"><summary class=\\"amn-222f930b87 amn-58d0413dd9 amn-d2fa884896 amn-bae566d754 amn-71556df3b4 amn-32c92bb1fd amn-90fc3ec35a amn-b5edc3ea7c amn-b902257d46 amn-bfafdcdcd0 amn-87e86ce38e amn-70250f0caa amn-c28289cf3c amn-40e9690fb6 amn-3910657f32 amn-ef1dc61534 amn-2366f0afa4\\"><span class=\\"amn-184ddc11e5 amn-1a5d10977b\\">How do they fit into the rest of the __SITE_BRAND__ ecosystem?</span><svg width=\\"24\\" height=\\"24\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\" class=\\"amn-0712570dcc amn-27ead27a81 amn-e108d7746f amn-ed5b23cbf9\\"><path stroke=\\"currentColor\\" stroke-linecap=\\"round\\" stroke-width=\\"1.5\\" d=\\"M12 5.25V12m0 0v6.75M12 12H5.25M12 12h6.75\\"></path></svg><svg class=\\"amn-e564b4081d amn-0712570dcc amn-27ead27a81 amn-749f34202d amn-249642e667\\" aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path d=\\"M6.75 12H17.25\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\"></path></svg></summary><div class=\\"amn-074cda750c amn-cc8cba0776 amn-b902257d46 amn-86bcc14820 amn-d5f6c11b70 amn-073ad3bd84\\">Use either model as your \\"layout and logic\\" stage â set your scene, text, and characters â then push frames into video models like Sora 2, Kling, MiniMax, or Seedance for motion. Combine with Face Swap, Soul ID, or Popcorn for consistent characters across longer narratives. Same identities, same scenes, full pipeline.</div></details>
1<details class=\\"amn-e68f164ed5 amn-ad936fcbed amn-d5111d0e9f\\"><summary class=\\"amn-222f930b87 amn-58d0413dd9 amn-d2fa884896 amn-bae566d754 amn-71556df3b4 amn-32c92bb1fd amn-90fc3ec35a amn-b5edc3ea7c amn-b902257d46 amn-bfafdcdcd0 amn-87e86ce38e amn-70250f0caa amn-c28289cf3c amn-40e9690fb6 amn-3910657f32 amn-ef1dc61534 amn-2366f0afa4\\"><span class=\\"amn-184ddc11e5 amn-1a5d10977b\\">How is pricing structured on __SITE_BRAND__?</span><svg width=\\"24\\" height=\\"24\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\" class=\\"amn-0712570dcc amn-27ead27a81 amn-e108d7746f amn-ed5b23cbf9\\"><path stroke=\\"currentColor\\" stroke-linecap=\\"round\\" stroke-width=\\"1.5\\" d=\\"M12 5.25V12m0 0v6.75M12 12H5.25M12 12h6.75\\"></path></svg><svg class=\\"amn-e564b4081d amn-0712570dcc amn-27ead27a81 amn-749f34202d amn-249642e667\\" aria-hidden=\\"true\\" width=\\"24px\\" height=\\"24px\\" viewBox=\\"0 0 24 24\\" fill=\\"none\\" xmlns=\\"http://www.w3.org/2000/svg\\"><path d=\\"M6.75 12H17.25\\" stroke=\\"currentColor\\" stroke-width=\\"1.5\\" stroke-linecap=\\"round\\"></path></svg></summary><div class=\\"amn-074cda750c amn-cc8cba0776 amn-b902257d46 amn-86bcc14820 amn-d5f6c11b70 amn-073ad3bd84\\">Both models run on __SITE_BRAND__âs credit system, with Banana 2 priced lower per generation than Pro to reflect its speed-and-scale positioning. Exact credit costs depend on resolution and settings â see the pricing page for current rates and plan options.</div></details></div></section></div>"},{"kind":"related","html":"<section class=\\"amn-d2d9e1f134 amn-80f8cf5ea5 amn-f9ba32b459 amn-9fbc6bfa73\\" data-seo-section=\\"related\\"><div aria-hidden=\\"true\\" class=\\"amn-747355bdc2 amn-ce13093ad8 amn-33228ff7d5\\"></div><div class=\\"amn-a42d519714 amn-616ad38ba3\\"><h2 class=\\"amn-e0373529bb amn-0670710393 amn-05ab124483 amn-1e17cde831 amn-d2cf63c704 amn-dcb4476c7f amn-adc523e2f4\\">Explore more AI features</h2><div class=\\"amn-222f930b87 amn-faa8a23c68 amn-074569488c amn-a503dd374c\\"><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"13\\" data-seo-href=\\"__SEO_LINK_13__\\">AI Image Generator</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"14\\" data-seo-href=\\"__SEO_LINK_14__\\">Nano Banana Pro Prompt Guide</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"15\\" data-seo-href=\\"__SEO_LINK_15__\\">FLUX 2 Intro</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"16\\" data-seo-href=\\"__SEO_LINK_16__\\">GPT 1.5</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"17\\" data-seo-href=\\"__SEO_LINK_17__\\">GPT 2</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"18\\" data-seo-href=\\"__SEO_LINK_18__\\">Seedream 5.0</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"19\\" data-seo-href=\\"__SEO_LINK_19__\\">Soul Intro</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"20\\" data-seo-href=\\"__SEO_LINK_20__\\">Soul</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"21\\" data-seo-href=\\"__SEO_LINK_21__\\">Image Editing</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"22\\" data-seo-href=\\"__SEO_LINK_22__\\">Claude AI Image Generator</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"23\\" data-seo-href=\\"__SEO_LINK_23__\\">Angles</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"24\\" data-seo-href=\\"__SEO_LINK_24__\\">Relight</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"25\\" data-seo-href=\\"__SEO_LINK_25__\\">Skin Enhancer</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"26\\" data-seo-href=\\"__SEO_LINK_26__\\">Style Snap</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"27\\" data-seo-href=\\"__SEO_LINK_27__\\">Breakdown</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"28\\" data-seo-href=\\"__SEO_LINK_28__\\">3D Render</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"29\\" data-seo-href=\\"__SEO_LINK_29__\\">J Poster</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"30\\" data-seo-href=\\"__SEO_LINK_30__\\">Renaissance</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"31\\" data-seo-href=\\"__SEO_LINK_31__\\">Meme Generator</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"32\\" data-seo-href=\\"__SEO_LINK_32__\\">AI Headshot Generator</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"33\\" data-seo-href=\\"__SEO_LINK_33__\\">Expand Image</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"34\\" data-seo-href=\\"__SEO_LINK_34__\\">
1Image Background Remover</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"35\\" data-seo-href=\\"__SEO_LINK_35__\\">Color Grading</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"36\\" data-seo-href=\\"__SEO_LINK_36__\\">Enhance Style</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"37\\" data-seo-href=\\"__SEO_LINK_37__\\">Glitter Sticker</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"38\\" data-seo-href=\\"__SEO_LINK_38__\\">AI Video Generator</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"39\\" data-seo-href=\\"__SEO_LINK_39__\\">Kling 3.0</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"40\\" data-seo-href=\\"__SEO_LINK_40__\\">Seedance 2.0</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"41\\" data-seo-href=\\"__SEO_LINK_41__\\">Wan 2.6</a><a class=\\"amn-1fb07b38c6 amn-b005d61d09 amn-68fa5b6579 amn-9c99a6b0e8 amn-71556df3b4 amn-d5f6c11b70 amn-4e92301b63 amn-daaac3fbf5 amn-0f9e667291\\" data-seo-link=\\"42\\" data-seo-href=\\"__SEO_LINK_42__\\">Grok Imagine</a></div></div></section>","relatedItems":[{"linkIndex":13,"href":"/ai-image","start":449,"end":668},{"linkIndex":14,"href":"/nano-banana-pro-prompt-guide","start":668,"end":897},{"linkIndex":15,"href":"/flux-2-intro","start":897,"end":1110},{"linkIndex":16,"href":"/gpt-1.5","start":1110,"end":1318},{"linkIndex":17,"href":"/gpt-2","start":1318,"end":1524},{"linkIndex":18,"href":"/seedream-5.0","start":1524,"end":1737},{"linkIndex":19,"href":"/soul-intro","start":1737,"end":1948},{"linkIndex":20,"href":"/soul","start":1948,"end":2153},{"linkIndex":21,"href":"/image-editing","start":2153,"end":2367},{"linkIndex":22,"href":"/claude-ai-image-generator","start":2367,"end":2593},{"linkIndex":23,"href":"/apps/angles","start":2593,"end":2800},{"linkIndex":24,"href":"/apps/relight","start":2800,"end":3008},{"linkIndex":25,"href":"/apps/skin-enhancer","start":3008,"end":3222},{"linkIndex":26,"href":"/apps/style-snap","start":3222,"end":3433},{"linkIndex":27,"href":"/apps/breakdown","start":3433,"end":3643},{"linkIndex":28,"href":"/apps/3d-render","start":3643,"end":3853},{"linkIndex":29,"href":"/apps/j-poster","start":3853,"end":4062},{"linkIndex":30,"href":"/apps/renaissance","start":4062,"end":4274},{"linkIndex":31,"href":"/apps/meme-generator","start":4274,"end":4489},{"linkIndex":32,"href":"/apps/ai-headshot-generator","start":4489,"end":4711},{"linkIndex":33,"href":"/apps/expand-image","start":4711,"end":4924},{"linkIndex":34,"href":"/apps/image-background-remover","start":4924,"end":5149},{"linkIndex":35,"href":"/apps/color-grading","start":5149,"end":5363},{"linkIndex":36,"href":"/apps/enhance-style","start":5363,"end":5577},{"linkIndex":37,"href":"/apps/glitter-sticker","start":5577,"end":5793},{"linkIndex":38,"href":"/ai-video","start":5793,"end":6012},{"linkIndex":39,"href":"/kling-3.0","start":6012,"end":6222},{"linkIndex":40,"href":"/seedance/2.0","start":6222,"end":6435},{"linkIndex":41,"href":"/wan-2.6","start":6435,"end":6643},{"linkIndex":42,"href":"/grok-imagine","start":6643,"end":6856}]}]`),m={kind:"image",model:"nano_banana_flash",target:"/nano-banana-2?source=%2Fnano_banana_flash",suggestions:["A photorealistic, 4K close-up image of a modern desktop computer monitor. The screen displays the front page of a popular news site with the legible headline 'NANO BANANA 2 IS LIVE.'","A cinematic, ultra-realistic 4K photograph of a vintage mahogany de
1sk. On the desk sits a clear glass of red wine filled precisely to the brim, next to a silver pocket watch displaying the time 4:55 P.M. The scene is lit by soft, warm tungsten light coming from the left.","Close-up 4K macro shot of a complex product assembly: A sleek, reflective object made of brushed aluminum sits on a table draped with a fine, highly textured silk fabric. A beam of soft, targeted light illuminates the aluminum, showing a perfect, undistorted reflection of the silk weave pattern on the metallic surface. 16-bit color depth.","Generate a photorealistic 4K image of person standing on a foggy London street at dusk. Keep the lighting consistent with the mood.","A photorealistic shot of three perfectly stacked, unevenly sized, glossy dominoes on a polished wooden floor. The top domino must be leaning so far that it is seconds from falling.","A macro shot of a wet, highly reflective black sports car hood. The surface must show perfect, deep reflections of blurred neon city lights and individual droplets of water.","A close-up 4K photograph of a minimalist white product box. The only text on the box is the legible brand name, '__SITE_BRAND__ Nano Banana 2,' printed in a bold, black sans-serif font."]},r={slug:a,title:e,description:n,links:d,sections:t,prompt:m};export{r as default,n as description,d as links,m as prompt,t as sections,a as slug,e as title};
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.