<h2 id="note:-civit-has-made-the-download-ui-confusing.-for-the-v4.0-model-it-contains-four-versions:">NOTE: Civit has made the download UI confusing. For the v4.0 model, it contains four versions:</h2><ol><li>BF16 UNET (11GB)</li><li>FP8 UNET (6GB)</li><li>Q6 GGUF UNET (5GB)</li><li>FP8 Checkpoint (16GB)</li></ol><h2 id="i-uploaded-them-very-descriptively-but-civit-has-stripped-away-the-descriptions-so-it's-now-confusing-to-see-what-you're-downloading.-the-fp8-checkpoint-is-an-all-in-one-version-that-contains-the-vae-and-text-encoder.-for-the-unets-you-need-to-provide-those-extra-models.">I uploaded them very descriptively but Civit has stripped away the descriptions so it's now confusing to see what you're downloading. The FP8 checkpoint is an all-in-one version that contains the VAE and Text Encoder. For the UNETs you need to provide those extra models.</h2>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

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 <a target="_blank" rel="ugc" href="https://civitai.com/models/2172100?modelVersionId=2464585">workflow</a>.

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