The purpose of this finetune is to improve the visual aesthetics of the Z-Image "Base" (Non-Omni) model. This is very much a proof of concept finetune. Its beta stage and will likely need more refinement.Update as of 1:35pm PST: I just fixed the file. It should work in ComfyUI now. It is called ZImage_Eminence_v1_fix.safetensorsVersion: Beta 1<h3 id="features">Features</h3><ul><li>Improved visual aesthetics</li><li>Maintains base model's general results</li><li>Trained on word tags, short and long descriptions to maintain broad understanding. (Z-Image paper: <a target="_blank" rel="ugc" href="https://arxiv.org/pdf/2511.22699">https://arxiv.org/pdf/2511.22699</a>)</li></ul><h3 id="notes">Notes</h3><ul><li>All images are oneshot generations using the same seed. They were generated using musubi-tuner.</li></ul><h3 id="issues">Issues</h3>Unknown. Sampling looks decent across a variety of topics but I am not aware of any systematic issues but I'm sure you will let me know.<h3 id="shoutout">Shoutout</h3>OneTrainer: Awesome job everyone! Seriously, if you are not using OneTrainer, I would definitely recommend checking it out. Lots of functionality and they offer features/concepts that are taken directly from research papers.Musubi-tuner: kohya-ss is a legend! Another great trainer. Updated quickly and great notes.Z-Image Team: Thank you so much for the detailed paper. A great source of information, strategy and concepts. I can read 100% of it and understand about 15% of it but the 15% is enough to emulate concepts at-home. I would highly recommended checking out the research papers. These are a great source of information.Civitai: Thank you all the hard work and posting/updating everything so quickly!ComfyUI Team: Thank you for the awesome community support and continued development!

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