WEBVTT 00:00:00.000 --> 00:00:03.140 Intro music. The biggest shifts in technology 00:00:03.140 --> 00:00:06.900 often happen completely in silence. Beat, beat. 00:00:07.280 --> 00:00:09.859 Google just quietly dropped a brand new mid -tier 00:00:09.859 --> 00:00:12.439 image model that released it without any fanfare 00:00:12.439 --> 00:00:14.859 over the weekend, and it is entirely destroying 00:00:14.859 --> 00:00:18.379 its own premium counterpart. Welcome to today's 00:00:18.379 --> 00:00:21.260 Deep Dive. We are exploring Max -Anne's definitive 00:00:21.260 --> 00:00:24.000 2026 guide today. We're looking at the final 00:00:24.000 --> 00:00:26.710 launch of Nano Banana 2. This model is officially 00:00:26.710 --> 00:00:30.190 codenamed Gemini 3 .1 Flash Image. Today, we're 00:00:30.190 --> 00:00:32.149 going to explore exactly how this lightning -fast 00:00:32.149 --> 00:00:34.130 model works. We'll break down the brutal head 00:00:34.130 --> 00:00:35.950 -to -head performance test. We are comparing 00:00:35.950 --> 00:00:38.289 it directly against version 1 and the pro tier. 00:00:38.549 --> 00:00:40.310 We'll unpack the completely new workflow features 00:00:40.310 --> 00:00:42.689 it brings. Finally, we'll explain exactly how 00:00:42.689 --> 00:00:44.630 you can use it right now. You can easily upgrade 00:00:44.630 --> 00:00:46.960 your creative workflow for free today. Yeah, 00:00:46.960 --> 00:00:48.780 I mean, let's start with the actual launch itself. 00:00:48.880 --> 00:00:51.200 It was incredibly quiet. The silent drop happened 00:00:51.200 --> 00:00:54.179 on February 26, 2026. It came directly from the 00:00:54.179 --> 00:00:57.039 Google DeepMind development team. Most big AI 00:00:57.039 --> 00:00:59.240 launches come with heavy, dramatic press releases. 00:00:59.340 --> 00:01:01.420 They usually have a massive keynote presentation 00:01:01.420 --> 00:01:03.600 attached to them. But there were absolutely no 00:01:03.600 --> 00:01:06.000 flashy announcements for this one. Right. There 00:01:06.000 --> 00:01:08.319 were no executive tweets hyping up the technical 00:01:08.319 --> 00:01:10.420 specs. They didn't even use a standard marketing 00:01:10.420 --> 00:01:13.019 countdown timer. Exactly. It just quietly appeared 00:01:13.019 --> 00:01:15.739 on long for people to find. What's truly fascinating 00:01:15.879 --> 00:01:19.359 is the massive technical leap itself. It represents 00:01:19.359 --> 00:01:23.019 a fundamental shift in daily AI image generation. 00:01:23.579 --> 00:01:25.540 The technical specs are absolutely incredible 00:01:25.540 --> 00:01:28.719 to review in detail. It generates stunning, high 00:01:28.719 --> 00:01:31.200 fidelity visuals very quickly for everyday users. 00:01:31.640 --> 00:01:34.180 We are talking about three to five seconds maximum 00:01:34.180 --> 00:01:37.480 per image. It uses the highly efficient flash 00:01:37.480 --> 00:01:40.829 architecture to achieve the speed. That is incredibly 00:01:40.829 --> 00:01:43.269 fast. For professional, high -quality rendering, 00:01:43.450 --> 00:01:45.069 it completely changes the beat. Right. And you 00:01:45.069 --> 00:01:47.230 no longer choose between speed and quality. Think 00:01:47.230 --> 00:01:49.650 about a standard smartphone product lineup today. 00:01:50.010 --> 00:01:52.150 You have the cheap base model for every day, 00:01:52.209 --> 00:01:54.209 casual use. Then you have the highly expensive 00:01:54.209 --> 00:01:56.849 Pro version for professionals. Imagine buying 00:01:56.849 --> 00:01:59.510 that cheap base model phone at the store. Then 00:01:59.510 --> 00:02:01.569 you take it home and test it out, and you find 00:02:01.569 --> 00:02:04.609 out it heavily outperforms the $1 ,200 Pro model. 00:02:04.750 --> 00:02:06.909 Yeah, that is exactly what Nano Banana 2 just 00:02:06.909 --> 00:02:09.229 accomplished. It behaves exactly like a pro. 00:02:09.069 --> 00:02:12.569 premium flagship model right away. But it still 00:02:12.569 --> 00:02:16.469 runs at that blazing mid -tier speed. Why would 00:02:16.469 --> 00:02:18.909 Google quietly release a mid -tier model that 00:02:18.909 --> 00:02:21.810 undercuts their own flagship product? It is a 00:02:21.810 --> 00:02:24.270 massive flex of their raw computing infrastructure. 00:02:24.569 --> 00:02:26.330 They're proving their baseline architecture is 00:02:26.330 --> 00:02:28.949 now highly efficient. It doesn't need a massive 00:02:28.949 --> 00:02:32.129 bloated compute budget anymore. It easily creates 00:02:32.129 --> 00:02:34.590 professional photorealistic visuals right now 00:02:34.590 --> 00:02:41.520 for cheap. Let's actually look at the specific 00:02:41.520 --> 00:02:44.039 side -by -side performance tests. We are comparing 00:02:44.039 --> 00:02:46.580 it directly against version 1 first. Max ran 00:02:46.580 --> 00:02:48.860 five very clean controlled visual comparison 00:02:48.860 --> 00:02:50.900 tests. He used the exact same prompts for both 00:02:50.900 --> 00:02:53.039 models. He didn't tweak anything to artificially 00:02:53.039 --> 00:02:55.740 favor the new version. That is crucial for establishing 00:02:55.740 --> 00:02:59.379 a real, honest baseline test. The first category 00:02:59.379 --> 00:03:02.340 they tested was standard hero images. Hero images 00:03:02.340 --> 00:03:05.620 are those massive website header graphics. They 00:03:05.620 --> 00:03:07.819 basically dictate your entire first impression 00:03:07.819 --> 00:03:10.419 online. They always need to feel polished and 00:03:10.419 --> 00:03:12.879 highly intentional. Version 1 gave you a perfectly 00:03:12.879 --> 00:03:15.379 usable image overall. But it felt incredibly 00:03:15.379 --> 00:03:17.860 flat and completely soulless. It looked exactly 00:03:17.860 --> 00:03:20.330 like generic corporate stock photography. But 00:03:20.330 --> 00:03:23.169 version two changes that dynamic entirely. It 00:03:23.169 --> 00:03:25.830 immediately gives us genuine, dramatic, cinematic 00:03:25.830 --> 00:03:28.610 lighting. You get deep shadows and real atmospheric 00:03:28.610 --> 00:03:31.729 depth in there. The image moves from just acceptable 00:03:31.729 --> 00:03:34.210 to genuinely striking. If you design landing 00:03:34.210 --> 00:03:36.990 pages, this completely changes things. It absolutely 00:03:36.990 --> 00:03:39.729 does. Then we move on to the complex cyberpunk 00:03:39.729 --> 00:03:42.530 scenes. Cyberpunk is a brutal stress test for 00:03:42.530 --> 00:03:45.250 any AI model. It demands razor sharp detail and 00:03:45.250 --> 00:03:48.009 highly complex chaotic lighting. Version 1 caught 00:03:48.009 --> 00:03:50.710 the overall cyberpunk vibe just fine, but the 00:03:50.710 --> 00:03:53.009 bright neon lights felt totally painted on. They 00:03:53.009 --> 00:03:54.949 didn't actually illuminate the surrounding scene 00:03:54.949 --> 00:03:57.830 properly. Version 2 handles this lighting challenge 00:03:57.830 --> 00:04:00.400 completely differently. It features these intensely 00:04:00.400 --> 00:04:04.039 glowing, realistic neon light fixtures. You see 00:04:04.039 --> 00:04:06.379 natural light reflections bouncing off wet city 00:04:06.379 --> 00:04:09.340 streets. The background billboards connect perfectly 00:04:09.340 --> 00:04:11.819 with the foreground puddles. They genuinely feel 00:04:11.819 --> 00:04:14.500 like they exist in one cohesive world. It doesn't 00:04:14.500 --> 00:04:18.470 instantly remind you it's just an AI image. Next 00:04:18.470 --> 00:04:21.910 up we have the standard YouTube thumbnails test. 00:04:22.550 --> 00:04:24.949 Thumbnails need to be visually bold and highly 00:04:24.949 --> 00:04:27.850 readable. Version 1 produced an unusable and 00:04:27.850 --> 00:04:30.850 slightly creepy photograph. The colors were okay 00:04:30.850 --> 00:04:33.689 but it completely failed the layout. Version 00:04:33.689 --> 00:04:36.329 2 provides professional, high contrast visual 00:04:36.329 --> 00:04:38.730 layouts immediately. The overall composition 00:04:38.730 --> 00:04:41.589 has a much more distinct, bold personality. The 00:04:41.589 --> 00:04:43.829 layout actually makes logical sense at a very 00:04:43.829 --> 00:04:46.310 quick glance. The fourth test looked at highly 00:04:46.310 --> 00:04:49.350 complex data infographics. Infographics usually 00:04:49.350 --> 00:04:51.910 make standard AI image models fall apart entirely. 00:04:52.310 --> 00:04:54.230 They need highly structured layouts and very 00:04:54.230 --> 00:04:56.670 consistent visual styling. Version 1 could mimic 00:04:56.670 --> 00:04:58.970 an infographic layout decently well, but the 00:04:58.970 --> 00:05:00.970 generated text was always messy and visually 00:05:00.970 --> 00:05:04.240 inconsistent. I still wrestle with endless prompt 00:05:04.240 --> 00:05:07.120 tweaking just to get text right. Beat. So that 00:05:07.120 --> 00:05:09.740 specific upgrade is truly massive for my workflow. 00:05:09.879 --> 00:05:12.100 Yeah, it saves a massive amount of daily production 00:05:12.100 --> 00:05:15.399 time. Version 2 produces colorful, highly structured 00:05:15.399 --> 00:05:18.600 graphic layouts very easily. The embedded text 00:05:18.600 --> 00:05:21.360 is significantly sharper and far more accurate. 00:05:21.939 --> 00:05:24.439 It is finally reliable enough to use in real 00:05:24.439 --> 00:05:27.800 project drafts. Finally, we have the highly detailed 00:05:27.800 --> 00:05:30.240 miniature scenes test. Miniature scenes demand 00:05:30.240 --> 00:05:33.560 extreme visual precision. They rely on very specific 00:05:33.560 --> 00:05:36.410 optical illusions to work. Version 1 blurred 00:05:36.410 --> 00:05:39.449 the mathematical scale completely. The tiny intricate 00:05:39.449 --> 00:05:42.329 details simply melted together into a soft blur. 00:05:42.810 --> 00:05:45.870 Version 2 brings crisp sharp wood grain textures 00:05:45.870 --> 00:05:48.350 back. It renders tiny ceramic bowls and miniature 00:05:48.350 --> 00:05:51.029 lanterns perfectly well. The subtle depth of 00:05:51.029 --> 00:05:53.329 field looks completely natural and real. The 00:05:53.329 --> 00:05:55.350 physical scale is incredibly convincing to the 00:05:55.350 --> 00:05:57.370 human eye. You genuinely want to zoom in to check 00:05:57.370 --> 00:05:59.189 if it's real. Looking at the miniature test, 00:05:59.389 --> 00:06:02.310 what makes the depth of field in V2 finally look 00:06:02.310 --> 00:06:04.819 convincing instead of fake? It handles the complex 00:06:04.819 --> 00:06:07.459 microtextures much better now. When the wood 00:06:07.459 --> 00:06:10.240 grain is perfectly mathematically sharp, your 00:06:10.240 --> 00:06:12.560 brain accepts the optical illusion of the tiny 00:06:12.560 --> 00:06:15.720 scale. Sharp microtextures trick the human brain 00:06:15.720 --> 00:06:18.699 into accepting the miniature illusion. Here's 00:06:18.699 --> 00:06:20.579 where it gets really interesting for us today. 00:06:21.319 --> 00:06:23.660 Now we reach the biggest technical upset in the 00:06:23.660 --> 00:06:27.019 guide. We are comparing version 2 directly to 00:06:27.019 --> 00:06:30.259 Nano Banana Pro. Pro was supposed to be the premium, 00:06:30.660 --> 00:06:33.180 highly expensive tier. It was the flagship tier 00:06:33.180 --> 00:06:35.800 you paid more for. People naturally assumed version 00:06:35.800 --> 00:06:38.899 2 would sit safely below Pro. That early assumption 00:06:38.899 --> 00:06:41.740 was completely and totally wrong. Version 2 is 00:06:41.740 --> 00:06:44.220 significantly more dynamic and highly cinematic. 00:06:44.620 --> 00:06:47.139 Pro is slightly tidier, but it feels much less 00:06:47.139 --> 00:06:49.500 striking overall. Let's look at the rigorous 00:06:49.500 --> 00:06:52.519 face test first. This specific test used a prompt 00:06:52.519 --> 00:06:55.360 for an 80s boombox scene. Pro actually takes 00:06:55.360 --> 00:06:57.579 the win in this specific category. Version 2 00:06:57.579 --> 00:06:59.920 makes a beautiful rich retro environment here. 00:07:00.040 --> 00:07:02.360 It even adds a nice convincing retro date stamp. 00:07:02.819 --> 00:07:04.860 But it alters the main subject space entirely. 00:07:05.120 --> 00:07:06.939 It completely failed to recreate the original 00:07:06.939 --> 00:07:10.019 person accurately. Pro maintains identity consistency 00:07:10.019 --> 00:07:12.680 perfectly throughout the entire generation. The 00:07:12.680 --> 00:07:14.939 output person actually matches the input photo 00:07:14.939 --> 00:07:18.300 exactly. Then we have the complex multi -part 00:07:18.300 --> 00:07:21.319 detail test. This involved rendering a yellow 00:07:21.319 --> 00:07:24.680 mug and a glass pyramid. It was basically a functional 00:07:24.680 --> 00:07:28.040 tie in this specific category. Both models completely 00:07:28.040 --> 00:07:30.959 failed to put a dragonfly inside a book. They 00:07:30.959 --> 00:07:33.160 both incorrectly placed the dragonfly on the 00:07:33.160 --> 00:07:35.800 cover instead. But version 2 had much better 00:07:35.800 --> 00:07:38.579 physics -based environmental reflections. The 00:07:38.579 --> 00:07:40.740 yellow polka dot mug reflected realistically 00:07:40.740 --> 00:07:43.720 in the space. It mirrored properly inside the 00:07:43.720 --> 00:07:46.259 surrounding glass pyramid structure. Pro really 00:07:46.259 --> 00:07:48.699 struggled to render those glass refractions accurately. 00:07:49.439 --> 00:07:51.519 Finally, we have the cinematic movie set mash 00:07:51.519 --> 00:07:53.800 -up test. They mix Star Wars and Pirates of the 00:07:53.800 --> 00:07:56.680 Caribbean themes together. Version 2 absolutely 00:07:56.680 --> 00:07:59.540 destroys Pro in this specific test. Pro looks 00:07:59.540 --> 00:08:02.600 like a really cheap $5 Photoshop job. The blending 00:08:02.600 --> 00:08:05.480 on Pro was rough and completely obvious. It looked 00:08:05.480 --> 00:08:08.040 like someone hastily pasted a face onto a body. 00:08:08.500 --> 00:08:10.420 Version 2 seamlessly blends the lighting and 00:08:10.420 --> 00:08:12.819 body proportions together. The face fits naturally 00:08:12.819 --> 00:08:16.269 into the fictional sci -fi scene. Whoa. Imagine 00:08:16.269 --> 00:08:19.050 generating flawless cinematic Star Wars composites 00:08:19.050 --> 00:08:22.370 in three seconds. Beep. It is genuinely hard 00:08:22.370 --> 00:08:25.509 to comprehend that raw computing speed. The visual 00:08:25.509 --> 00:08:28.069 quality gap between the two models is massive 00:08:28.069 --> 00:08:31.149 here. If V2 is this good, when should a creator 00:08:31.149 --> 00:08:34.190 actually spend the time and money to use the 00:08:34.190 --> 00:08:37.370 Pro model? Only when exact human identity matters 00:08:37.370 --> 00:08:39.789 more than anything else. If the face absolutely 00:08:39.789 --> 00:08:42.350 has to match the input photo, you have to use 00:08:42.350 --> 00:08:46.320 Pro. Use Pro for exact faces, use V2 for literally 00:08:46.320 --> 00:08:49.100 everything else. Sponsor. Welcome back. Let's 00:08:49.100 --> 00:08:51.460 unpack this new architecture properly now. We've 00:08:51.460 --> 00:08:53.299 seen how incredible the raw visual output is, 00:08:53.539 --> 00:08:55.799 but let's break down the actual daily workflow 00:08:55.799 --> 00:08:58.240 upgrades. This goes far beyond just raw visual 00:08:58.240 --> 00:09:00.559 output quality. It fundamentally changes how 00:09:00.559 --> 00:09:02.830 creators interact with the AI day to day. The 00:09:02.830 --> 00:09:05.110 isolated image editing is vastly improved now. 00:09:05.250 --> 00:09:07.429 When you ask it to adjust a specific part, it 00:09:07.429 --> 00:09:09.649 listens. It perfectly isolates that area without 00:09:09.649 --> 00:09:12.070 destroying the whole composition. Earlier versions 00:09:12.070 --> 00:09:14.289 constantly overcorrected and ruined the entire 00:09:14.289 --> 00:09:16.629 layout. Now the edits feel highly controlled 00:09:16.629 --> 00:09:18.990 rather than deeply destructive. It also handles 00:09:18.990 --> 00:09:22.389 specific aspect ratios much smarter now. You 00:09:22.389 --> 00:09:25.350 can easily specify landscape, portrait, or square 00:09:25.350 --> 00:09:28.830 dimensions. It respects 16 by 9 formatting perfectly 00:09:28.830 --> 00:09:31.710 without any awkward cropping issues. It handles 00:09:31.710 --> 00:09:34.649 9 by 16 vertical formatting without losing the 00:09:34.649 --> 00:09:37.659 core aesthetic. This matters immensely for professional 00:09:37.659 --> 00:09:40.820 social media content creators. Instagram, YouTube, 00:09:40.919 --> 00:09:43.220 and LinkedIn all demand different ideal visual 00:09:43.220 --> 00:09:46.299 ratios. Getting this wrong constantly wastes 00:09:46.299 --> 00:09:48.879 a massive amount of production time. But the 00:09:48.879 --> 00:09:51.399 biggest technical upgrade overall is probably 00:09:51.399 --> 00:09:53.279 search grounding. We should definitely define 00:09:53.279 --> 00:09:55.519 that specific jargon quickly, using live Google 00:09:55.519 --> 00:09:58.139 search to verify real world details before drawing. 00:09:58.399 --> 00:10:01.120 Exactly. It pulls real visual data from the internet 00:10:01.120 --> 00:10:04.320 instantly. This means location specific imagery 00:10:04.320 --> 00:10:06.779 actually looks highly accurate now. When you 00:10:06.779 --> 00:10:09.700 ask for a real specific global location, it responds 00:10:09.700 --> 00:10:12.240 accurately. Tokyo actually looks exactly like 00:10:12.240 --> 00:10:14.600 the real streets of Tokyo. It isn't just generating 00:10:14.600 --> 00:10:18.240 a generic, lazy visual cliché. The visual context 00:10:18.240 --> 00:10:20.899 is far more accurate and highly believable. It 00:10:20.899 --> 00:10:23.399 pulls directly from real updated visual context 00:10:23.399 --> 00:10:26.320 online. It isn't just guessing based on outdated 00:10:26.320 --> 00:10:28.840 training data anymore. It also features much 00:10:28.840 --> 00:10:31.899 cleaner text and language generation. Embedded 00:10:31.899 --> 00:10:34.659 text used to be AI's absolute biggest weakness. 00:10:34.960 --> 00:10:36.700 You always got blurry letters and misspelled 00:10:36.700 --> 00:10:39.919 words baked in. Version 2 renders embedded text 00:10:39.919 --> 00:10:42.759 markedly sharper and cleaner. It also has robust, 00:10:43.120 --> 00:10:45.360 accurate, multilingual support built right in. 00:10:45.600 --> 00:10:47.519 It handles multiple different languages inside 00:10:47.519 --> 00:10:50.159 images perfectly well now. This is a genuine, 00:10:50.299 --> 00:10:53.379 massive quality of life upgrade for global creators. 00:10:54.200 --> 00:10:56.240 How does search grounding change the way we prompt 00:10:56.240 --> 00:10:58.320 for locations? You don't have to describe the 00:10:58.320 --> 00:11:00.000 architecture anymore. You just name the city 00:11:00.000 --> 00:11:02.559 and the AI pulls the exact street level reality 00:11:02.559 --> 00:11:05.580 into the render. Two -sex silence. You simply 00:11:05.580 --> 00:11:08.379 name the city and the AI handles the architecture. 00:11:09.899 --> 00:11:11.899 So what does this all mean for us? How can you 00:11:11.899 --> 00:11:15.289 actually access this powerful tool today? The 00:11:15.289 --> 00:11:17.710 rollout isn't completely instant for every single 00:11:17.710 --> 00:11:20.649 user yet, but it is currently free via the standard 00:11:20.649 --> 00:11:22.769 Gemini app. You just need to select thinking 00:11:22.769 --> 00:11:25.990 or pro mode inside. Look closely for the visual 00:11:25.990 --> 00:11:28.389 loading indicator to appear briefly. That means 00:11:28.389 --> 00:11:31.370 the new 3 .1 flash architecture is running. It 00:11:31.370 --> 00:11:33.750 is also the default rendering engine in Google 00:11:33.750 --> 00:11:37.309 Flow. That is their very popular free AI video 00:11:37.309 --> 00:11:39.769 generation suite. You can also find it working 00:11:39.769 --> 00:11:42.879 smoothly inside Google Ads today. There are also 00:11:42.879 --> 00:11:45.019 several major third -party websites hosting it 00:11:45.019 --> 00:11:47.360 today. Popular creator sites like Higgs Field 00:11:47.360 --> 00:11:50.360 AI and FAL have it available now. Who really 00:11:50.360 --> 00:11:53.360 needs to care about this specific update? Professional 00:11:53.360 --> 00:11:55.799 content creators, daily marketers, and visual 00:11:55.799 --> 00:11:58.879 designers will care immediately. Faster, high 00:11:58.879 --> 00:12:01.519 quality visuals deeply reduce your daily iteration 00:12:01.519 --> 00:12:03.860 cycles. You spend less time waiting and more 00:12:03.860 --> 00:12:06.700 time actually creating. If we connect this to 00:12:06.700 --> 00:12:10.360 the bigger picture, it is massive. Small daily 00:12:10.360 --> 00:12:12.940 quality gains compound massively over a full 00:12:12.940 --> 00:12:15.480 year. YouTubers get significantly better thumbnails 00:12:15.480 --> 00:12:17.620 without hours of frustrating tweaking. Social 00:12:17.620 --> 00:12:20.029 media managers get faster hero images that look 00:12:20.029 --> 00:12:22.570 deeply polished. Marketers get cleaner product 00:12:22.570 --> 00:12:24.889 visuals without constantly waiting on a designer. 00:12:25.370 --> 00:12:27.389 Bloggers get highly custom illustrations without 00:12:27.389 --> 00:12:30.110 blowing their monthly production budget. It democratizes 00:12:30.110 --> 00:12:32.669 high -end visual production completely. Nano 00:12:32.669 --> 00:12:35.190 Banana 2 proves massive compute size isn't everything 00:12:35.190 --> 00:12:38.450 anymore. A much faster mid -tier architecture 00:12:38.450 --> 00:12:41.049 completely redefined the visual industry standard. 00:12:41.529 --> 00:12:44.149 It smartly uses search grounding to verify reality 00:12:44.149 --> 00:12:47.230 before drawing. It successfully created professional 00:12:47.230 --> 00:12:50.029 AI image generation for absolutely everyone. 00:12:50.850 --> 00:12:52.809 What does this mean for the future of premium 00:12:52.809 --> 00:12:55.669 AI tiers across the industry? It forces competitors 00:12:55.669 --> 00:12:58.690 to justify their price tags. If the free, fast 00:12:58.690 --> 00:13:01.470 tier is this photorealistic, the paid tiers have 00:13:01.470 --> 00:13:04.889 to offer literal perfection. Free, fast photorealism 00:13:04.889 --> 00:13:07.889 forces premium models to deliver absolute flawless 00:13:07.889 --> 00:13:10.110 perfection. We highly encourage you to open the 00:13:10.110 --> 00:13:12.830 Gemini app today. Try generating a highly complex 00:13:12.830 --> 00:13:15.200 infographic for your own project. Test out a 00:13:15.200 --> 00:13:17.679 demanding, highly detailed miniature tilt shift 00:13:17.679 --> 00:13:20.600 scene. See the massive undeniable leap in visual 00:13:20.600 --> 00:13:22.600 quality for yourself. You will see immediately 00:13:22.600 --> 00:13:25.120 how it handles complex text and real world lighting. 00:13:25.419 --> 00:13:27.879 It is a genuine game changer for everyday creative 00:13:27.879 --> 00:13:30.200 workflows. If a mid -tier flash model can outsmart 00:13:30.200 --> 00:13:32.860 its pro version by verifying reality through 00:13:32.860 --> 00:13:35.100 live search before it even draws a pixel, what 00:13:35.100 --> 00:13:37.259 happens when that verify before you create logic 00:13:37.259 --> 00:13:40.100 skills to live real -time video generation? Beep. 00:13:40.120 --> 00:13:41.639 Something to think about. Outro music.