I've used 100s of 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.Use the workflow embedded in the showcase images for the model version to get the best results. Check the About this version section for links to the workflow and recommended settings. Z-Image currently mangles nipples and genitalia so my workflow uses SDXL detailers to refine just those aspects of the image.P.S. I would appreciate any constructive feedback on how to make this model better.

GonzaLomo ZPop

Better NSFW details, although a little light SDXL refinement never hurts. You can use the workflow from this image, <a target="_blank" rel="ugc" href="https://civitai.red/images/130290388">https://civitai.red/images/130290388</a>, and the Ultralytics bbox files from <a target="_blank" rel="ugc" href="https://civitai.red/models/2172100/gonzalomo-z-image-refiner-workflow?modelVersionId=2543959">https://civitai.red/models/2172100/gonzalomo-z-image-refiner-workflow?modelVersionId=2543959</a>. Personally, I like to use my <a target="_blank" rel="ugc" href="https://civitai.red/models/1854124/mop-mixture-of-perverts-dmd?modelVersionId=2806744">MoP v7.1</a> model to do the refining but you can use any photorealistic SDXL checkpoint.Thanks to @nobodybutmeowie, @purplelady and @Disruptor_art_warehouse for the prompt inspiration!Normally I have a small set of suggested settings but I'm having a hard time finding any samplers and schedulers that won't work with this model. Maybe it's just a z-image thing but I would encourage you to try out any set of settings you can think of and just see what happens.Here are the settings that I'm using most frequently:sampler: sa_solver, euler, dpmpp_2m, er_sde, res_2sscheduler: betacfg: 1.0steps: 5-12There are four versions available for download: <ul><li>BF16 Unet</li><li>FP8 Unet </li><li>Q6_K GGUF Unet</li><li>FP8 Checkpoint that also includes the UltraFlux VAE and qwen3_4b_fp8_scaled text encoder.</li></ul>

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