I’m saying it because it’s not only obvious with even a moments thought (you can literally just ask it for an entirely red image or whatever), but also because it’s easily provable.
Prompt: “Under the sea”
Image:
Average pixel colour:
Prompt: “a man with red hair wearing a red coat standing in front of a red background”
Image:
Average pixel colour:
So I ask you the same question. Did you just say that because you felt like it was true?
The average brightness values of those are both middle of the road grey. Sorry I should have rephrased as I misspoke calling it beige but the point still stands that has the most average toned color.
If you look they are middling around 50-60% where as a similar red photo intake would likely have a higher contrast and an average color with a higher brightness.
I’d expect that many images are going to be somewhere near 50% grey if you average their luminance out overall. That’s just the average of every colour though. The fact that averaging a range of things tends toward a standard distribution isn’t particularly surprising. Again though, it’s not hard to get a diffusion model to generate something outside of that expectation.
Prompt: “night sky”
Image:
Average colour:
Average brightness: 21%
Prompt: “lineless image of an old man drawn in yellow ink on white background”
My point is that AI images don’t differ significantly enough from non-AI images. “AI images” is an extremely broad category.
If you are narrowing that category to, say, “all Dall-E images” or “all Midjourney images” or something, MAYBE. They tend to have a certain “look.” But even that strikes me as unlikely, and those are just a slice of the “AI images” pie.
As someone who has played around with Stable Diffusion and Flux, the “average color” of an image can vary dramatically based on what settings and models you’re running. AI can create remarkably real-looking images with proper variance in color and contrast, because it’s trained on real photos. Pixels, as I said, are pixels.
That’s not to mention anime or sketch or stained glass or any other medium imitation. And of course, image-to-image with in-painting, where only parts of an image are handled by the AI.
My point is that if there were overtly simple answers like, “all AI images average their color to a beige,” then there wouldn’t be all this worry about AI images. It would be easy to detect them. But things aren’t that simple, and if you spend a small amount of time looking into the depth that generating AI images has gained even in the last year, you’d realize how absurd a simple answer like that is.
Either that’s not true of AI images or it’s true of all images. There aren’t answers that simple to this. Pixels are pixels.
It is absolutely not true of all AI images. I’d be surprised if it’s even true about most AI images.
Just saying that because you feel like it’s true or because you’ve participated in that line of thought for even 5 seconds?
AI images come from a noise map, it’s true cause they generate from it in a consistent manner.
I’m saying it because it’s not only obvious with even a moments thought (you can literally just ask it for an entirely red image or whatever), but also because it’s easily provable.
Prompt: “Under the sea”
Image:
Average pixel colour:
Prompt: “a man with red hair wearing a red coat standing in front of a red background”
Image:
Average pixel colour:
So I ask you the same question. Did you just say that because you felt like it was true?
The average brightness values of those are both middle of the road grey. Sorry I should have rephrased as I misspoke calling it beige but the point still stands that has the most average toned color.
If you look they are middling around 50-60% where as a similar red photo intake would likely have a higher contrast and an average color with a higher brightness.
I’d expect that many images are going to be somewhere near 50% grey if you average their luminance out overall. That’s just the average of every colour though. The fact that averaging a range of things tends toward a standard distribution isn’t particularly surprising. Again though, it’s not hard to get a diffusion model to generate something outside of that expectation.
Prompt: “night sky”
Image:
Average colour:
Average brightness: 21%
Prompt: “lineless image of an old man drawn in yellow ink on white background”
Image:
Average colour:
Average brightness: 90%
What? That’s some extreme logic.
First of all why would it be true of all images? Real photos would have variance of contrast and color in different ways.
These guys literally point out average colors and contrast in AI images
Instead of engaging the conversation you just say pixels are pixels? Like that means something smart?
My point is that AI images don’t differ significantly enough from non-AI images. “AI images” is an extremely broad category.
If you are narrowing that category to, say, “all Dall-E images” or “all Midjourney images” or something, MAYBE. They tend to have a certain “look.” But even that strikes me as unlikely, and those are just a slice of the “AI images” pie.
As someone who has played around with Stable Diffusion and Flux, the “average color” of an image can vary dramatically based on what settings and models you’re running. AI can create remarkably real-looking images with proper variance in color and contrast, because it’s trained on real photos. Pixels, as I said, are pixels.
That’s not to mention anime or sketch or stained glass or any other medium imitation. And of course, image-to-image with in-painting, where only parts of an image are handled by the AI.
My point is that if there were overtly simple answers like, “all AI images average their color to a beige,” then there wouldn’t be all this worry about AI images. It would be easy to detect them. But things aren’t that simple, and if you spend a small amount of time looking into the depth that generating AI images has gained even in the last year, you’d realize how absurd a simple answer like that is.