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ChatGPT Images 2.0

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461–470 of 1001 posts

Re: ChatGPT Images 2.0

#461
post #63

One interesting thing I found comparing OpenAI and Gemini image editing is - Gemini rejects anything involving a well known person. Anything. OpenAI is happy to edit and change every time I tried I have a sideproject where I want to display standup comedies. I thought I could edit standup comedy posters with some AI to fit my design. Gemini straight up refuses to change any image of any standup comedy poster involvin…

How does it determine they are well known and not just similar looking?

There are models specifically for detecting well known people https://docs.aws.amazon.com/rekognition/latest/dg/celebritie...

Re: ChatGPT Images 2.0

#462
post #202

This seems like a great time to mention C2PA, a specification for positively affirming image sources. OpenAI participates in this, and if I load an image I had AI generate in a C2PA Viewer it shows ChatGPT as the source. Bad actors can strip sources out so it's a normal image (that's why it's positive affirmation), but eventually we should start flagging images with no source attribution as dangerous the way we flag…

> but eventually we should start flagging images with no source attribution as dangerous the way we flag non-https.

Yes, lets make all images proprietary and locked behind big tech signatures. No more open source image editors or open hardware.

Re: ChatGPT Images 2.0

#463
I wonder if this confirms version 1 of some kind of "world model."

It has an unprecedented ability to generate the real thing (for example, a working barcode for a real book)

Re: ChatGPT Images 2.0

#465
post #419

So 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…

This is an amazing test and it's kinda' funny how terrible gpt-2-image is. I'd take "plagiarized" images (e.g. Google search & copy-paste) any day over how awful the OpenAI result is. Doesn't even seem like they have a sanity checker/post-processing "did I follow the instructions correctly?" step, because the digit-style constraint violation should be easily caught. It's also expensive as shit to just get an image th…

I wouldn’t say it’s terrible. I wouldn’t say it’s a huge step forward in terms of quality compared to what I’ve seen before from AI

Re: ChatGPT Images 2.0

#466
post #254

Earlier quoted context omitted.

What move? Who's turn is it? Declined or accepted? Garbage in, garbage out.

What do you mean? Parent clearly describes the Queen's Gambit. 1.d4 d5 2.c4 There is no room for ambiguity here.

King Indian Defense would be a better prompt as Queen's Gambit can now refer to e.g. some scene from Netflix series.

Re: ChatGPT Images 2.0

#467

OpenAI’s gpt-image-1.5 and Google’s NB2 have been pretty much neck and neck on my comparison site which focuses heavily on prompt adherence, with both hovering around a 70% success rate on the prompts for generative and editing capabilities. With the caveat being that Gemini has always had the edge in terms of visual fidelity. That being said, gpt-image-1.5 was a big leap in visual quality for OpenAI and eliminated m…

It'd be interesting if you could add HunyuanImage-3 to the competition. It's better than Z-Image at almost everything I've thrown at it.

It can be (slowly) run at home, but needs 96GB RTX 6000-level hardware so it is not very popular.

Re: ChatGPT Images 2.0

#469

OpenAI’s gpt-image-1.5 and Google’s NB2 have been pretty much neck and neck on my comparison site which focuses heavily on prompt adherence, with both hovering around a 70% success rate on the prompts for generative and editing capabilities. With the caveat being that Gemini has always had the edge in terms of visual fidelity. That being said, gpt-image-1.5 was a big leap in visual quality for OpenAI and eliminated m…

It'd be interesting if you could add HunyuanImage-3 to the competition. It's better than Z-Image at almost everything I've thrown at it. It can be (slowly) run at home, but needs 96GB RTX 6000-level hardware so it is not very popular.

I’ll have to give it another try. Its predecessor, Hunyuan Image 2.0, scored pretty poorly when I tested it last year: 2 out of 15, so it'll be interesting to see how much it has improved.

Here's ZiT, Gpt-Image-2, and Hunyuan Image 2 for reference:

https://genai-showdown.specr.net/?models=hy2,g2,zt

Note: It won't show up in some of the newer image comparisons (Angelic Forge, Flat Earth, etc) because it's been deprecated for a while but in the tests where it was used (Yarrctic Circle, Not the Bees, etc.) it's pretty rough.

Re: ChatGPT Images 2.0

#470
post #333

Earlier quoted context omitted.

You shouldn't have believed photos since Stalin had Yezhov airbrushed out of them. The only thing that makes a photo more trustworthy than a painting is that it "looks" more real, and passes itself off as true. But there have always been photographic fakes, manipulation and curation of the photos to push a message. AI will finally end this and people will realise that the image of the thing is not the thing itself.

You are vastly, vastly underselling what is being lost. You can no longer look at a piece of art without first asking "is this even real", that is a collosal loss to the experience of being human. You can't just appreciate anything anymore without questioning it. >You shouldn't have believed photos since Stalin had Yezhov airbrushed out of them. It isn't just about propaganda photos, it is about -litearlly everything…

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