Generative AI Image Editing Showdown
genai-showdown.specr.net
Generative AI Image Editing Showdown
1–10 of 83 posts
Re: Generative AI Image Editing Showdown
#2[deleted]
Re: Generative AI Image Editing Showdown
#3Good effort, somewhat marred by poor prompting. Passing in “the tower in the image is leaning to the right,” for example, is a big mistake. That context is already in the image, and passing that as a prompt will only make the model apt to lean the tower in the result.
Re: Generative AI Image Editing Showdown
#4Everyone is sleeping on Gemini 2.5 Flash Image / Nano Banana. As shown in the OP, it's substantially more powerful than most other models while at the same price-per-image, and due to its text encoder it can handle significantly larger and more nuanced prompts to get exactly what you want. I open-sourced a Python package for generating from it with examples (https://github.com/minimaxir/gemimg) and am currently working on a blog post with even more representative examples. Google also allows generations for free with aspect ratio control in AI Studio: https://aistudio.google.com/prompts/new_chat
That said, I am surprised Seedream 4.0 beat it in these tests.
Re: Generative AI Image Editing Showdown
#5Good effort, somewhat marred by poor prompting. Passing in “the tower in the image is leaning to the right,” for example, is a big mistake. That context is already in the image, and passing that as a prompt will only make the model apt to lean the tower in the result.
[deleted]
Re: Generative AI Image Editing Showdown
#6I do not use ai image generating much lately. It seemed like there was a burst of activity a year and half ago with self hosted models and using some localhost web guis. But now it seems like it is moving more and more to online hosted models.
Still, to my eye, ai generated images still feel a bit off when doing with real world photographs.
George's hair, for example, looks over the top, or brushed on.
The tree added to the sleeping person on the ground photo... the tree looks plastic or too homogenized.
Re: Generative AI Image Editing Showdown
#7I think reve (https://reve.com) should be in the running and would be very curious to see the results!
Re: Generative AI Image Editing Showdown
#8[deleted]
Re: Generative AI Image Editing Showdown
#9I do not use ai image generating much lately. It seemed like there was a burst of activity a year and half ago with self hosted models and using some localhost web guis. But now it seems like it is moving more and more to online hosted models. Still, to my eye, ai generated images still feel a bit off when doing with real world photographs. George's hair, for example, looks over the top, or brushed on. The tree added…
> But now it seems like it is moving more and more to online hosted models.
It's mostly because image model size and required compute for both training and inference have grown faster than self-hosted compute capability for hobbyists. Sure, you can run Flux Kontext locally, but if you have to use a heavily quantized model and wait forever for the generation to actually run, the economics are harder to justify. That's not counting the "you can generate images from ChatGPT for free" factor.
> George's hair, for example, looks over the top, or brushed on.
IMO, the judge was being too generous with the passes for that test. The only one that really passes is Gemini 2.5 Flash Image:
Flux Kontext: In addition to the hair looking too slick, it does not match the VHS-esque color grading of the image.
Qwen-Image-Edit: The hair is too slick and the sharpness/saturation of the face unnecessarily increases.
Seedream 4: Color grading of the entire image changes, which is the case with most of the Seedream 4 edits shown in this post, and why I don't like it.
Re: Generative AI Image Editing Showdown
#10This was fun.
Some might critique the prompts and say this or that would have done better, but they were the kind of prompt your dad would type in not knowing how to push the right buttons.