Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

ChatGPT Images 2.0

openai.com

Post reply on HN
Print view View original

501–510 of 1001 posts

Re: ChatGPT Images 2.0

#501

Post by breezybottom »

JumpCrisscross wrote: post #430
pesus wrote: post #398

Earlier quoted context omitted.

I'm not seeing how it takes more than 5 minutes to type up an itinerary. If you want to make it cute and silly, just change up the font and color and add some clip art. If this is the best use case that exists for AI image generation, I'm only further convinced the tech is at best largely useless.

> not seeing how it takes more than 5 minutes to type up an itinerary Because I’ll then spend hours playing with the typography (because it’s fun) and making it look like whatever design style I’ve most recently read about (again, because it’s fun) and then fighting Word or Latex because I don’t actually know what I’m doing (less fun). Outsourcing it is the right move, particularly if someone else is handling request…

You might not be able to tell how bad the AI slop looks, but I guarantee some of your friends can. AI is awful at maps and diagrams.

Re: ChatGPT Images 2.0

#502

Post by [deleted] »

Barbing wrote: post #494
simonw wrote: post #37

Earlier quoted context omitted.

I just got a much better version using this command instead, which uses the maximum image size according to https://github.com/openai/openai-cookbook/blob/main/examples... OPENAI_API_KEY="$(llm keys get openai)" \ uv run 'https://raw.githubusercontent.com/simonw/tools/refs/heads/main/python/openai_image.py' \ -m gpt-image-2 \ "Do a where's Waldo style image but it's where is the raccoon holding a ham radio" \ --quali…

>I think that image cost 40 cents. Kinda made me sad assuming the author didn't license anything to OpenAI. I recognize it could revert (99% of?) progress if all the labs moved to consent-based training sets exclusively, but I can't think of any other fair way. $.40 does not represent the appropriate value to me considering the desirability of the IP and its earning potential in print and elsewhere. If the world has…

[deleted]

Re: ChatGPT Images 2.0

#503

Post by petesergeant »

Nition wrote: post #438
squidsoup wrote: post #238

Are camera manufacturers working on signed images? That seems like the only way our trust in any digital media doesn't collapse entirely.

Ultimately even with that tech, you can still take a photo of an AI generated scene. Maybe coupled with geolocation data in the signature or something it might work.

I see signing chains as the way to go here. Your camera signs an image, you sign the signed image, your client or editor signs the image you signed etc etc. Might finally have a use for blockchain.

Re: ChatGPT Images 2.0

#504

Post by vunderba »

m_kos wrote: post #492
vunderba wrote: post #83

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…

Very useful website. Would you have insight into what models are best at editing existing images? I often have to make very specific edits while keeping the rest of the image intact and haven't yet found a good model. These are typically abstract images for experiments. I asked gpt-image-2 to recolor specific scales of your Seedream 4 snake and change the shape of others. It did very poorly.

OpenAI actually has really good adherence, but occasionally tends to introduce its own almost equivalent of "tone mapping", making hyper-localized edits frustrating.

I don’t know how much work it is for you, but one thing a lot of people do, myself included, is take the original image, make a change to it using something like NB, then paste that as the topmost layer in something like Krita/Pixelmator. After that, we’ll mask and feather in only the parts we actually want to change. It doesn’t always work if it changes the overall color balance or filters out certain hues, it can be a real pain but it does the job in some cases.

The Flux models (like Kontext) are actually surprisingly good at making very minimal changes to the rest of the image, but unfortunately their understanding of complex prompts is much weaker than the closed, proprietary models.

I will say that I’ve found Gemini 3.0 (NB Pro) does a relatively decent job of avoiding unnecessary changes - sometimes exceeding the more recent NB2, and it scored quite well on comparative image-editing benchmarks.

https://genai-showdown.specr.net/image-editing

Re: ChatGPT Images 2.0

#505

Post by breezybottom »

rafael-lua wrote: post #404
davebren wrote: post #381

Earlier quoted context omitted.

The point of a diagram is that you have something in your head to turn into the diagram. There's no point if you can't do it yourself and the image generator is coming up with it for you.

I disagree. Diagrams are a type of visual communication, and not everyone is good at translating things to visual. I open an excalidraw with clear concepts in my head, but nothing comes out of it. I try C4 or flow diagrams, and I spend an excessive amount of time refactoring them to end up mediocre anyway. Not just me, I know MANY developers that are amazing at explaining things but are mind-blocked when drawing simp…

It's not translation if it's completely AI generated to begin with. Instead of addressing your mental deficits (which sound severe), you're offloading it and making the problem worse.

Re: ChatGPT Images 2.0

#506

Post by kibibu »

_pdp_ wrote: post #209
kibibu wrote: post #107

Genuine question: what positive use cases are sufficient to accept the harm from image generators? One that i can think of: - replacing photography of people who may be unable to consent or for whom it may be traumatic to revisit photographs and suitable models may not be available, e.g. dementia patients, babies, examples of medical conditions. Most other vaguely positive use cases boil down to "look what image gene…

There are many use-cases outside of spam and slop. For example, take a picture of your garden. Ask chatgpt to give you ideas how to improve it and a step by visual guide. Anything that can be expressed visually is effectively target for this technology - this covers pretty much everything.

Are those sufficiently valuable that the death of photographic evidence is worth it?

Re: ChatGPT Images 2.0

#507

Post by vunderba »

CamperBob2 wrote: post #489
vunderba wrote: post #469

Earlier quoted context omitted.

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 depreca…

It does quite a bit better than 2.0, I think. Or at least it may be stylistically different enough to justify a rematch against the others. Ring toss: https://i.imgur.com/Zs6UNKj.png (arguably a pass) 9-pointed star: https://i.imgur.com/SpcSsSv.png (star is well-formed but only has 6 points) Mermaid: https://i.imgur.com/R6MbMPX.png (fail, and I can't get Imgur to host it for some reason even though it's SFW) Octopus:…

> https://i.imgur.com/6NXpI2q.png

You're killing me Smalls. This one is a 404. I'm really curious what it actually showed.

That ring toss is definitely leagues better than its predecessor. I’m not going to fault it too much for the star though, that one is an absolute slate wiper. The only locally hostable model that ever managed it for me was the original Flux, and I’m still not entirely convinced it wasn’t a fluke. Despite getting twice as many attempts, Flux 2, a much larger model, couldn’t even pull it off.

Re: ChatGPT Images 2.0

#508

Post by rafram »

Barbing wrote: post #494
simonw wrote: post #37

Earlier quoted context omitted.

I just got a much better version using this command instead, which uses the maximum image size according to https://github.com/openai/openai-cookbook/blob/main/examples... OPENAI_API_KEY="$(llm keys get openai)" \ uv run 'https://raw.githubusercontent.com/simonw/tools/refs/heads/main/python/openai_image.py' \ -m gpt-image-2 \ "Do a where's Waldo style image but it's where is the raccoon holding a ham radio" \ --quali…

>I think that image cost 40 cents. Kinda made me sad assuming the author didn't license anything to OpenAI. I recognize it could revert (99% of?) progress if all the labs moved to consent-based training sets exclusively, but I can't think of any other fair way. $.40 does not represent the appropriate value to me considering the desirability of the IP and its earning potential in print and elsewhere. If the world has…

License what? The concept of a hidden object search? The only stylistic similarity here is the viewing angle. Where’s Waldo comics are flat, brightly colored line drawings that look nothing like this at all.

Re: ChatGPT Images 2.0

#509

Post by CamperBob2 »

vunderba wrote: post #507
CamperBob2 wrote: post #489

Earlier quoted context omitted.

It does quite a bit better than 2.0, I think. Or at least it may be stylistically different enough to justify a rematch against the others. Ring toss: https://i.imgur.com/Zs6UNKj.png (arguably a pass) 9-pointed star: https://i.imgur.com/SpcSsSv.png (star is well-formed but only has 6 points) Mermaid: https://i.imgur.com/R6MbMPX.png (fail, and I can't get Imgur to host it for some reason even though it's SFW) Octopus:…

> https://i.imgur.com/6NXpI2q.png You're killing me Smalls. This one is a 404. I'm really curious what it actually showed. That ring toss is definitely leagues better than its predecessor. I’m not going to fault it too much for the star though, that one is an absolute slate wiper. The only locally hostable model that ever managed it for me was the original Flux, and I’m still not entirely convinced it wasn’t a fluke.…

Yeah, I suspect you'd see some solid passing scores if you ran it as many times as some of the others.

For the mermaid, https://i.imgur.com/R6MbMPX.png sometimes seems to work but not consistently. It is probably triggering a porn filter of some kind. I need to find another free image host, as imgur has definitely jumped the shark.

The image shows a mermaid of evident Asian extraction lying on a beach, face down. There is a dolphin lying on top of her, positioned at a 90-degree angle. It doesn't show any interaction at all, so a definite fail.

Post reply on HN