I've used 100+ curated images to help add some better color, contrast and detail to the Z-Image Turbo model. It's not a huge difference yet, but it is noticeably better in side by side tests. I'm starting out a bit conservative because I don't want to mess up any of the great compositional features that Z-Image offers.
However I do strongly suggest using my workflow to get the best results from this model. Z-Image currently mangles nipples and genitalia so my workflow uses SDXL detailers to refine just those aspects of the image.
P.S. In continuing my tradition of stupid names, I named this ZPop but I do think the colors 'pop' a bit more with this model.
P.P.S. I would appreciate any constructive feedback on how to make this model better.
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v1.1 has been further trained with another 100 or so images from a curated dataset.
As with prior versions, I strongly suggest first trying the model with this workflow.
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Same model published on other platforms. May have additional downloads or version variants.