This is a Z-Image Turbo model merged with my Realistic_LoRA.Please place it in the <code>Models/Unet</code> folder.Simple wf<a target="_blank" rel="ugc" href="https://civarchive.com/models/2190946/workflow-for-z-imagerealturbosamaybf16"> https://civarchive.com/models/2190946/workflow-for-z-imagerealturbosamaybf16</a>Realistic_LoRA was trained on 5,000 real photos with a focus on natural lighting, realistic skin and hair, and small details like hands and background depth. The goal is simple: push the base model closer to clean photographic realism without turning everything into plastic beauty shots.<h3 id="training-and-tech">Training &amp; Tech</h3><ul><li>Dataset: ~5k real-world photos (people, objects, everyday environments)</li><li>Target: general realism, not tied to a single art style</li><li>Base: merged with Z-Image-Turbo bf16 for fast inference</li><li>Use cases: portraits, half-body and full-body shots, lifestyle, simple fashion, product photos</li></ul>You can stack this LoRA with your own style LoRAs or strong prompts – it’s designed to enhance realism, not overwrite the look of your pipeline.<h3 id="credits-and-nextry">Credits &amp; NexTry</h3>Training was funded by <a target="_blank" rel="ugc" href="http://NexTry.app">NexTry.app</a> (VTON) – a virtual try-on startup. If you want to see how realism holds up in a real product, you can:<ul><li>try changing clothes on your own photos at <a target="_blank" rel="ugc" href="http://NexTry.app">NexTry.app</a>,</li><li>see how it handles lighting, body shapes and different fabrics,</li><li>and leave honest feedback – it helps us train the next open models.</li></ul><h3 id="collaboration">Collaboration</h3>I’m open to custom training / fine-tuning for:<ul><li>brand- or product-specific realism LoRAs,</li><li>internal tools, demos, or research projects,</li><li>experimental models and content pipelines.</li></ul>If you test this model, please share example images and your settings – sampler, CFG, steps, etc. It really helps to understand how it behaves in different setups.<hr />LicenseThis model is released under the Apache 2.0 License. Based on Tongyi-MAI/Z-Image-Turbo (Apache 2.0) by Tongyi-MAI.

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