The "editing" showdown is very good. Introduced me to the Seedream model which i didn't know about until now.

I don't fully understand the iterative methodology tho - they allow multiple attempts, which are judged by another multimodal llm? Won't they have limited accuracy in itself?

I had to upvote immediately once I got to Alexander the Great on a Hippity Hop

What about the classic: A analog watch that shows the time 08:15?

Did current models overcome the 10:10 bias?

>Cephalopodic Puppet Show

I'm pretty sure that only Gemini made it. Other models did not meet the 'each tentacle covered' criteria.

for the OpenAI 4o model on the octopus sock puppet prompt, the prompt clearly states that each tentacle should have a sock puppet, whereas the OpenAI 4o image only has 6 puppets with 2 tentacles being puppetless. I’m not sure if we can call that a pass

I'd assume that behind the scenes the models generate several passes and only show the user the best one, that would be smart, as to to make it seem their model is better than others

Is also pretty obvious that the models have some built in prompt system rules that makes the final output a certain style. They seem very consistent

It also looks like 40 has the temperature turned way down, to ensure max adherence, while midjourney etc seem to have higher temperature.more interesting end results, flourishing, complex Materials and backgrounds

Also what's with 4o's sepia tones. Post editing in the gen workflows?

I don't believe any of these just generate the image though, there's likely several steps in each workflows to present the final images outputted to the user in the absolute best light.

Actual link seems to be: https://genai-showdown.specr.net/image-editing

> "A dolphin is using its fluke to discipline a mermaid by paddling it across the backside."

If this one were shown in a US work environment, I might say a collegial something privately to the person, about it not seeming the most work-appropriate.

Please fix the title.

The title of this article is "image editing showdown", but the subject is actually prompt adherence in image generation from prompting.

Midjourney and Flux Dev aren't image editing models. (Midjourney is an aesthetically pleasing image generation model with low prompt adherence.)

Image editing is a task distinct from image generation. Image editing models include Nano Banana (Gemini Flash), Flux Kontext, and a handful of others. gpt-image-1 sort of counts, though it changes the global image pixels such that it isn't 1:1 with the input.

Edit: Dang, can you please fix this? Someone else posted the actual link, and it's far more interesting than the linked article:

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

This article is great.