Same 60-image dataset, comparing Z-Image Turbo vs Flux for character consistency training.

I fed the same 60-image dataset into two models to train a character. Flux Dev started looking pretty similar around epoch 12, but the files are huge and each image takes 12 seconds. Z-Image Turbo matches it on likeness, sometimes even has better skin texture, training time is cut in half, and generating images takes 4 seconds.

But it has a clear weakness—it’s really unforgiving with dirty data. If there’s a bad sample mixed into the training set, it messes up, while Flux handles it better.

For people who generate in bulk, speed adds up over time—saving a few seconds per image becomes huge when you’re doing thousands, so I just moved the whole pipeline over. Wondering how many others working on characters have switched to Z-Image.

The fact that it doesn’t tolerate dirty data is a big deal.

Yeah, batch generation speed really snowballs.

Top

I’m still on Flux, but seeing your numbers makes me kinda wanna give it a try.

Gotta factor in the cost of data cleaning too.

Cleaning is the real pain in the ass. I spent the whole night filtering through 60 images :sob: