Looks like AI and I look away from any image generated by a LLM. It's my easy internal filter to weed out everything that isn't art.
ChatGPT Images 2.0
521–530 of 1001 posts
Re: ChatGPT Images 2.0
#522So during my Nano Banana Pro experiments I wrote a very fun prompt that tests the ability for these image generation models to follow heuristics, but still requires domain knowledge and/or use of the search tool: Create a 8x8 contiguous grid of the Pokémon whose National Pokédex numbers correspond to the first 64 prime numbers. Include a black border between the subimages. You MUST obey ALL the FOLLOWING rules for th…
Even a few months ago, ChatGPT/Sora's image generation performed better than Gemini/Nano Banana for certain weird prompts:
Try things like: "A white capybara with black spots, on a tricycle, with 7 tentacles instead of legs, each tentacle is a different color of the rainbow" (paraphrased, not the literal exact prompt I used)
Gemini just globbed a whole mass of tentacles without any regards to the count
Re: ChatGPT Images 2.0
#523for video game assets this is massive. but in general though - will people believe in anything photographic ? imagine dating apps, photographic evidence. I'm guessing we're gonna reach a point where - you fuck up things purposely to leave a human mark.
> for video game assets this is massive.
Storefronts like Steam require disclosing use of AI assets for art. In most indie dev spaces, devs are scolded for using AI art in their games. I wonder if this perspective will change in a few years.
Re: ChatGPT Images 2.0
#524Goated release tbh. The text work inside the images are nice
Re: ChatGPT Images 2.0
#525Earlier quoted context omitted.
that is interesting cause I feel gpt-image-1 did have that feature. (source: https://chatgpt.com/share/69e83569-b334-8320-9fbf-01404d18df... )
You are comparing ChatGPT to a raw image model. These are two completely different things. ChatGPT takes your input, modifies the prompt and then passes it to the image model and then will maybe read the image and provide output. The image model like through the API just takes the prompt verbatim and generates an image.
Nano Banana Pro and ChatGPT Images 2.0 also tweak the prompt because they can think.
Re: ChatGPT Images 2.0
#526Earlier quoted context omitted.
The Human Renaissance is something I've been thinking of too and I hope it comes to pass. Of course, I feel like societally, things are gonna get worse for a lot of folks. You already see it in entire towns losing water or their water becoming polluted. You'd think these kickbacks leaders of these towns are getting for allowing data centers to be built would go towards improving infrastructure but hah, that's unreali…
> You already see it in entire towns losing water or their water becoming polluted Do you have any references for such cases? I have seen talk of such thing at risk, but I am unaware of any specific instances of it occuring
I know I've seen such a story on HN before, you can probably find it by searching for "water" and "data center/AI."
Re: ChatGPT Images 2.0
#527Earlier quoted context omitted.
You are comparing ChatGPT to a raw image model. These are two completely different things. ChatGPT takes your input, modifies the prompt and then passes it to the image model and then will maybe read the image and provide output. The image model like through the API just takes the prompt verbatim and generates an image.
Nano Banana Pro and ChatGPT Images 2.0 also tweak the prompt because they can think.
Yes exactly, "ChatGPT Images 2.0" is in ChatGPT. That is not a model.
Re: ChatGPT Images 2.0
#528I hope they will consider releasing DALL-E 2 publicly, now that there has been so much progress since it was unveiled. It had a really nice vibe to it, so worth preserving.
Yes, I’ve always thought of AI companies as sentimental. They will definitely do this :-/
That's why I want it; their motives for doing it, should they decide to, would presumably be different.
Re: ChatGPT Images 2.0
#529Earlier quoted context omitted.
This is from Gemini - https://lens.usercontent.google.com/banana?agsi=CmdnbG9iYWw6...
Did it correctly follow the instructions? Don't know my pokemon well enough.
Essentially yes (bottom got distorted), but Gemini uses Nano Banana Pro or Nano Banana 2 so it's not a surprising result. The image I linked uses the raw API.
Re: ChatGPT Images 2.0
#530Earlier quoted context omitted.
So the prompts are tuned and adjusted on a per-model basis. If you look at the number of attempts, each receives a specific prompt variation depending on the model. This honestly isn't as much of an issue these days because SOTA models natural language parsing (particularly the multimodal ones) has eliminated a lot of the byzantine syntax requirements of the SD/SDXL days. The template prompt seen in each comparison g…
Shouldn’t every model get the same prompt? Seems a bit weird, especially when you can’t see the prompts that were used.
The goal isn’t the prompt itself. The test is whether a prompt can be expressed in such a way that we still arrive at the author's intent, and of course to do so in a way that isn't unnatural.
The prompts despite their variation are still expressed in natural language.
The idea is that if you can rephrase the prompt and still get the desired outcome, then the model demonstrates a kind of understanding; however more variation attempts also get correspondingly penalized: this is treated more as a failure of steering, not of raw capability.
An example might help - take the Alexander the Great on a Hippity-Hop test case.
The starter prompt is this: "A historical oil painting of Alexander the Great riding a hippity-hop toy into battle."
If a model fails this a couple of times (multiple seeds), we might use a synonym for a hippity-hop, it was also known as a space hopper.
Still failing? We might try to describe the basic physical appearance of a hippity-hop.
Thus, something like GPT-Image-2 scored much higher on the compliance component of the test, requiring only a single attempt, compared with Z-Image Turbo, which required 14 attempts.