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#AI #ChatGPT #ImageCreation #Technology #Future #Innovation #2026 #Upgrade
Whether you’re a content creator or simply love experimenting with visuals, this upgrade is perfect for you. Get ready to unlock new possibilities and elevate your projects to the next level! 🔥
Don’t miss out—be part of the revolution and experience the next generation of AI image creation!
Remember to like this video, subscribe for more exciting updates, and share your thoughts in the comments below! 💬
Registration Link: [link]
#AI #ChatGPT #ImageCreation #Technology #Future #Innovation #2026 #Upgrade
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LearningTranscript
00:00So ChatGPT Images 2.0 is officially here. This is OpenAI's brand new image model that is now
00:07competing with Google's Nano Banana 2 and Nano Banana Pro. And in this video, you'll see here
00:13based on the number of browser tabs, I've gone through a lot of testing for real world business
00:18use cases. I'm not just trying to rush out a YouTube video to capitalize on hype like every
00:23other YouTuber does in this situation. So you want to make sure that you watch till the very end,
00:28where I'll let you know if I'm deciding to use this or if I'm still going to use Nano Banana
00:342.
00:34And if this is your first time to the channel, welcome. My name is Ryan. I'm a six-figure AI
00:39entrepreneur and I've been in the marketing industry for over a decade now. And if you
00:44want to know my favorite AI tools, automations, and even some of my cloud code skills, be sure
00:49to get my free AI marketing essentials guide. You can find the link for this in the video
00:55description or pinned comment below. So this is OpenAI's official page on the GPT-Image
01:012.0 model. I'll leave it in the video description below if you want to take a look at some
01:05of
01:06the examples and just some other details, but I'm not going to bore you with that stuff in
01:10this video. I do want to call out though, is that on the LLM Arena leaderboard, which is
01:15a very popular resource that compares various AI models across different categories. I do notice
01:22that the GPT-Image 2 model is ranking number one in the text to image arena category above Google's
01:30AI image models, Nano Banana 2 and Nano Banana Pro. Now, of course, this is subjective and I actually
01:37have some tests here that I'm going to show you and then give my own thoughts on my real world
01:42situations if this new GPT-Image 2 model outperforms Nano Banana 2. But the other thing that I want to
01:49talk about before I do that is the pricing. GPT-Image 2 is actually cheaper than both of the
01:56Google Nano Banana models with Pro and Nano Banana 2. I'll leave this API resource in the video description
02:03below, but I went ahead and asked AI, even asked Google Gemini. I thought it was going to give me
02:08some
02:08bias response and push Nano Banana 2 here. But it even said here that OpenAI GPT-Image 2 equates to
02:16about four cents an image and Gemini 3.1 flash image, aka Nano Banana 2, is almost seven cents per
02:23image. So it's about 40% cheaper than Nano Banana 2. But if you do use batch processing, it says
02:30Nano
02:30Banana 2 becomes cheaper than OpenAI standard model. Although I'm not sure how many people are going to be
02:36using batch processing. So not only is the quality there, as I'm going to show you here in a little
02:42bit, but the pricing is also there with Google's Nano Banana 2. So now it's up to Google to come
02:47back
02:48with a better model here, probably in the near future, to compete with OpenAI's latest image model.
02:53So when it comes to using this new ChatGPT-Images 2.0 model, there are several ways that you can
03:00use
03:00this. And obviously the first one is inside the ChatGPT web app, even for free users. But there's
03:06a very important distinction here. According to OpenAI's page, it says advanced outputs with
03:12thinking are available to ChatGPT Plus Pro and business users. So I am on a ChatGPT Plus account.
03:20And essentially what that means here, so I'm going to X out of this, to go ahead and generate an
03:24image
03:25with this model. All you need to do is click the plus icon, create image. But the big difference
03:30with thinking here is that if I click this dropdown on the top left, you'll see I have a thinking
03:36option. And if I click that, I can choose between standard thinking and extended thinking. Now this
03:41is different than OpenAI's previous models where you couldn't attach thinking mode to the actual image
03:48generations. And I do think that this makes a big difference, especially when you're talking about
03:52more sophisticated images, like let's say infographics or YouTube thumbnails or any other
03:58convoluted designs, I would say. So that's the first way that you can use this inside the ChatGPT web
04:05app. Another way that you can use this is through the API. Now you can go into OpenAI's official API
04:11platform, get your own API key there and whatnot. But I use a tool called OpenRouter. This is just kind
04:18of my middleman for just one API key. I can access any AI model I want right from one API
04:24key. And
04:25they've already added this right inside their platform. So if you sync up an OpenRouter account,
04:30I'll leave that tutorial in the video description below with maybe your Claude code setup, you can
04:36access this model from within Claude code. And speaking of a local setup, another way you can access this new
04:43ChatGPT image model is actually through Codex. This was generated right inside Codex and Codex does
04:51come with a $20 a month ChatGPT plus subscription, not to mention your usage on Codex is a lot better
04:58than what your usage is on Claude, whether it's the $20 a month plan or even the $100 a month
05:04max plan
05:05in a lot of use cases. So you'll see here, I generated a very high quality YouTube thumbnail,
05:11in my opinion, that I might actually use for this video right inside the Codex app.
05:16So I first wanted to explain kind of how you can use this new ChatGPT images 2.0 model,
05:23but now let's look into some real world outputs. So whenever a new AI image model rolls around like
05:28this, one of the first things I always like to test is the photorealism aspect of it. And here,
05:34all I did was I prompted create an image of a photorealistic high res image of elephants in Thailand.
05:40And you'll see here, obviously this looks very realistic. This isn't anything new in my opinion,
05:45as the recent AI image models can also create images like this. But one thing I do notice is
05:51there's no visible watermark on these images. Yes, I know there's an invisible watermark,
05:56but when you compare that to something like outputs from Google Gemini with its nano banana models,
06:01there still is a visible watermark right here on the bottom right. Yes, I understand there's watermark
06:07removers. You can add it to Photoshop Canva and remove it there. But that's one additional step
06:12that I often don't like to take sometimes. And again, if I look at that same example, I said,
06:18create me a photorealistic high res image of Des Moines, Iowa, which is the city where I live.
06:23Yes, there are a few flaws in here just from quickly looking at this, but it is a lot better
06:28in this situation when comparing it to previous AI image models from OpenAI.
06:33Now let's look at a more real world business use case here where I want to create an infographic
06:39based on a piece of content that I've already created. Now I've uploaded my Ryan Dozer logo here
06:45because I want to make sure I have that branding and the logo on the infographic. And I did give
06:50it
06:50a title. I just want to add some context here versus just saying, here's my article go. You don't
06:56never want to prompt AI like that. And then here I gave it the actual URL of a blog post
07:02on my website.
07:03And here's what it came back in the first iteration. Now, not bad, right? That's pretty good,
07:07especially compared to previous OpenAI image models. But then I said, you know, make sure the
07:12text is easier to read. I only want my logo once on the top left and boom, that is a
07:17much better
07:18infographic than what the previous OpenAI image models could generate. That is something that's very
07:23shareable in my opinion on social media. And I would have to run a few other iterations to
07:28perfect this, but you know, from a two prompts here, not bad at all compared to what we saw
07:33previously. And if we look at another infographic example, this time I gave it another article. I
07:40still gave it my logo. And then this is what it came up with here. I actually like this one
07:45better.
07:45I think it's more visually appealing. The text is all spelled correctly. The logos for the most part
07:51are put in there correctly with Grok, Perplexity, Claude, Google AI, ChatGPT,
07:57some of the other logos and icons that it created. So the fact that we can now create thumbnails
08:02with OpenAI image models and not just relying on NanoBanana, I think that's a huge unlock here.
08:09And if we look at one more example, this is probably the best example here that I have,
08:13because I said, basically create a visually appealing infographic. Again, I gave it my logo
08:17for branding references and I want it on the infographic. And then I gave it a YouTube video
08:23URL. I did not give it a website URL and it did come back with this, which not bad, right?
08:29The
08:29logo's there correctly. It's on brand, the text, et cetera. But I said, not bad, you know, don't make
08:35this as text heavy. And then it came back with this. This is a very high quality thumbnail,
08:40in my opinion. So now I'm going to adjust my workflows here where I was using Google's AI image models
08:45before for this, where if I publish a YouTube video, I can now just throw it into chat GPT or
08:51use the API and have it create thumbnails that look just like this. And the best part is I can
08:57create a skill markdown file. So that way I can use the API key and then have that infographic skill
09:03generate consistent on brand, high quality AI infographics after repurposing my own YouTube
09:10videos. Now, one use case where I use AI image models all the time is designing YouTube thumbnails
09:17for my channel. I often AB test a lot of those thumbnails with thumbnails from my actual designer.
09:22And I would say that this new chat GPT images 2.0 model really impressed me with the quality of
09:30YouTube thumbnails that this is creating. Now, this was very text heavy. This was the very first run
09:35that I did with this very text heavy. You know, this isn't bad. I mean, this is obviously usable
09:40here, but I didn't even want that extra text on the bottom. So I came back and then this was
09:45kind of
09:45that last iteration of the first thumbnail example that I did. That's a very high quality YouTube
09:51thumbnail in my opinion. But if we want to take this even a step further here, I found a thumbnail
09:57from a, another YouTuber on this topic uploaded my headshot. And I said, okay, insert my headshot and
10:03keep mostly everything else the same here. And then here we go. Right? So here's the actual headshot.
10:08Here's the new thumbnail. So you can definitely do that as well, but that's still not the best in my
10:14opinion. Right? And so now what I did is I took one of my previous YouTube thumbnails on my channel
10:20and I just gave it very simple instructions. I said, replace the text with new chat GPT images 2.0,
10:26but I also told it to update the background to better reflect opening eyes, new model.
10:31Here is the result that I got. I was very impressed with this output, right? It changed
10:37the text, which isn't anything new, but it also updated the background and it doesn't really look
10:42like hokey in my opinion, compared to what we see with a lot of AI generated images. But what was
10:48also
10:48cool about this, as I said, make me another variation with this headshot that I can AB test.
10:54So then it threw in this headshot, not perfect, right? There's a couple of things down here where
10:58it's prompting stuff and on the left, I don't know if I would use this. So I said, okay, now
11:03let's throw
11:04in another headshot and see what you can do here. And then here's the other, uh, AI YouTube thumbnail
11:10that it generated that I'll probably actually use and AB test this. The text looks on par. My headshot
11:17looks very crisp and high res. The images here look very crisp. I just really liked this actual
11:22thumbnail design versus its previous AI models. And if we compare this to Google's nano banana pro or
11:29nano banana two, you know, on the exact same thing here in the Gemini app, I'm on Gemini pro for
11:35$20 a
11:36month. Basically I said the exact same thing. Generate me a YouTube thumbnail based on the thumbnail,
11:41replace the text with the new images. I even gave it some context on opening eyes, new thumbnail,
11:46and then here it came back with this. Obviously we have the watermark. Um, looks like we have,
11:52you know, doll mentions of dolly three. I don't really like this. It's pretty much the exact same
11:57images as what I gave it on the original thumbnail. There's not a lot of creativity there.
12:01And then same, I said, make me another variation with this headshot that I can AB test completely blew
12:07this away, right? This is terrible. So it definitely didn't follow instructions when I gave it another
12:12headshot and wanted something else that I could AB test. And that's just a quick tip here that I
12:17would tell you guys is that when you are creating YouTube thumbnails, you don't just want to give it
12:22the YouTube video URL and give it some context and say, go, although this isn't terrible, what you
12:28actually want to do is download the thumbnail image, upload it to chat GPT, give it your context
12:36and boom, notice how much better that the quality of this is compared to what I just showed you.
12:42Like that's a very high quality thumbnail in my opinion. And of course you can come back,
12:46you can add headshots, you can change the text. Like I'm going to add headshots here. And you know,
12:51of course not all these are going to be perfect and whatnot, but you guys get the point here,
12:55right on the topic of just YouTube thumbnails alone. I'm definitely going to be using this.
13:01Now, as I did another example here, I'm definitely going to be using the GPT images 2.0 model for
13:07YouTube thumbnails instead of wasting my time previously, like I was on Gemini or even using
13:13the nano banana to image model via API in my cloud code setup. And what I'm actually going to do
13:20is I'm
13:21not going to spend my time on chat GPT. Like I'm showing you here, as I mentioned earlier,
13:26I'm going to be using the codex app. So inside VS code, I have both clawed code and open AI
13:33codex,
13:34which is their AI coding agent. And I'm going to be using codex to help me generate YouTube thumbnails.
13:39And the reason is I can actually use some of my skill markdown files for YouTube thumbnail designs,
13:46infographic designs, blog featured image designs right inside codex in my IDE versus going back
13:54and forth between chat GPT. So I know I keep rambling on here, but I do see a lot of
13:59potential.
14:00And I really liked the upgrades of the chat GPT images 2.0 model when it comes to YouTube thumbnails.
14:06I think it's super high quality. So now I want to hear your thoughts on chat GPT images 2.0
14:12model
14:13in the comments below. And it's about time open AI came out with some update that was better than
14:19what Google or Anthropic came out with, as I'm super impressed with what this new image model can
14:24generate versus Google's current AI image models right now. And I'm sure Google's probably working
14:29hard to ship an updated image model as I'm speaking. But at this time, I am going to be using
14:36this new image model for some of my workflows as I was using nano banana two before. But if you've
14:42made
14:42it this far into the video, I truly appreciate you. Be sure to give me a thumbs up and subscribe
14:48to
14:48the channel to show your support. But most importantly, I hope you all have a great day.
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