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Let’s make some realistic humans: Now with Z-Image [Tutorial] – More examples and Info in Comments

This is a refresh of my tutorial on [how to make realistic](https://www.reddit.com/r/StableDiffusion/comments/10yn8y7/lets_make_some_realistic_humans_tutorial/) people, and [how to make realistic people with SDXL](https://www.reddit.com/r/StableDiffusion/comments/16opi4h/lets_make_some_realistic_humans_now_with_sdxl/), and [let’s make realistic humans with flux](https://www.reddit.com/r/StableDiffusion/comments/1enrkyz/lets_make_some_realistic_humans_now_with_flux/), but this time we will be using the Z Image model.. *Special Note = imgpile currently has something going on, so many of the old SDXL images …

Today I made a Realtime Lora Trainer for Z-image/Wan/Flux Dev

Basically you pass it images with a load image node and it trains a lora on the fly, using your local install of AI-Toolkit, and then proceeds with the image generation. You just paste in the folder location for Ai-toolkit (windows or Linux), and it saves the setting. This train took about 5 mins on …

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Okay… Z-Image Is GENUINELY Revolutionary. The Fact That We Can Upscale to THIS Quality THIS Coherently Without ControlNET Tiles?!?! The Fact That There’s THIS Much Prompt Understanding with Hyper-Detailed Prompts??? The Fact That the Images Look THIS Beautiful with Only 6B Parameters?!?! THIS Is IT.

The first image of every set is the upscaled one, and the second image of every set is the original one. And upscaling is so SIMPLE—just Ultimate SD Upscaled with 0.20 denoise in ComfyUI. I am genuinely FLOORED by this. So many prompts I wanted to try (especially the building one) that no other model …

Z-Image – Releasing the Turbo version before the Base model was a genius move.

I strongly believe the team’s decision to release the Turbo version of their model first was a stroke of genius. If you think about it, it’s an unusual move. Typically, an AI lab drops the heavy Base model first, and then weeks or months later, the Turbo or Lightning version follows. We could argue that …