Comment by echelon
8 months ago
> This is the gpt 4 moment for image editing models.
No it's not.
We've had rich editing capabilities since gpt-image-1, this is just faster and looks better than the (endearingly? called) "piss filter".
Flux Kontext, SeedEdit, and Qwen Edit are all also image editing models that are robustly capable. Qwen Edit especially.
Flux Kontext and Qwen are also possible to fine tune and run locally.
Qwen (and its video gen sister Wan) are also Apache licensed. It's hard not to cheer Alibaba on given how open they are compared to their competitors.
We've left the days of Dall-E, Stable Diffusion, and Midjourney of "prompt-only" text to image generation.
It's also looking like tools like ComfyUI are less and less necessary as those capabilities are moving into the model layer itself.
In other words, this is the gpt 4 moment for image editing models.
Gpt4 isn't "fundamentally different" from gpt3.5. It's just better. That's the exact point the parent commenter was trying to make.
I'd say it's more like comparing Sonnet 3.5 to Sonnet 4. GPT-4 was a rather fundamental improvement. It jumped to professional applications compared to the only causal use you could use ChatGPT 3.5 for.
did you see the generated pic demis posted on X? it looks like slop from 2 years ago. https://x.com/demishassabis/status/1960355658059891018
I've tested it on Google AI Studio since it's available to me (which is just a few hours so take it with a grain of salt). The prompt comprehension is uncannily good.
My test is going to https://unsplash.com/s/photos/random and pick two random images, send them both and "integrate the subject from the second image into the first image" as the prompt. I think Gemini 2.5 is doing far better than ChatGPT (admittedly ChatGPT was the trailblazer on this path). FluxKontext seems unable to do that at all. Not sure if I were using it wrong, but it always only considers one image at a time for me.
Edit: Honestly it might not be the 'gpt4 moment." It's better at combining multiple images, but now I don't think it's better at understanding elaborated text prompt than ChatGPT.
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I'm confused as well, I thought gpt-image could already do most of these things, but I guess the key difference is that gpt-image is not good for single point edits. In terms of "wow" factor it doesn't feel as big as gpt 3->4 though, since it sure _felt_ like models could already do this.
People really slept on gpt-image-1 and were too busy making Miyazaki/Ghibli images.
I feel like most of the people on HN are paying attention to LLMs and missing out on all the crazy stuff happening with images and videos.
LLMs might be a bubble, but images and video are not. We're going to have entire world simulation in a few years.
I'm sorry I absolutely don't agree. This model is on a whole other level.
It's not even close. https://twitter.com/fareszr/status/1960436757822103721
I'm totally with you. Dismayed by all these fanbois.