[kemyd]

I don't get the hype. Tested it with the same prompts I used with Midjourney, and the results are worse than in Midjourney a year ago. What am I missing?

[bonoboTP]

The hype is about image editing, not pure text-to-image. Upload an input image, say what you want changed, get the output. That's the idea. Much better preservation of characters and objects.

[appenz]

I tested it against Flux Pro Kontext (also image editing) and while it's a very different style and approach I overall like Flux better. More focus on image consistency, adjusts the lighting correctly, fixes contradictions in the image.

[SirMaster]

Can it edit the photo at the original resolution?

Most of my photos these days are 48MP and I don't want to lose a ton of resolution just to edit them.

[kemyd]

Thanks for clarifying this. That makes a lot more sense.

[vunderba]

Midjourney hasn't been SOTA for over a year. Even the latest release of version 7 scores extremely low on prompt adherence only managing to get 2 out of 12 prompts correct. Even Flux Dev running locally consistently out performs it.

Here's a comparison of Flux Dev, MJ, Imagen, and Flash 2.5.

https://genai-showdown.specr.net/?models=FLUX_1D%2CMIDJOURNE...

That being said, if image fidelity is absolutely paramount and/or your prompts are relatively simple - Midjourney can still be fun to experiment with particularly if you crank up the weirdness / chaos parameters.

[cdrini]

Hmm, I think the hype is mainly for image editing, not generating. Although note I haven't used it! How are you testing it?

[kemyd]

I tested it with two prompts:

// In this one, Gemini doesn't understand what "cinematic" is

"A cinematic underwater shot of a turtle gracefully swimming in crystal-clear water [...]"

// In this one, the reflection in the water in the background has different buildings

"A modern city where raindrops fall upward into the clouds instead of down, pedestrians calmly walking [...]"

Midjourney created both perfectly.

[qingcharles]

It actually has impressive image generating ability, IMO. I think the two things go hand-in-hand. Its prompt adherence can be weaker than other models, though.