<h2 id="unrealvision-(krea2-zit-universal)">### 🚀 UnrealVision (Krea2 / ZIT Universal)</h2>Welcome to the community!&gt; 📌 Please Note: All models I build are created primarily for my own personal workflow and daily generation tasks. I share them here so you can experiment with my setups and integrate them into your own pipelines.This page will host and regularly update all releases built upon the next-generation Krea 2 and ZIT (Z-Image-Turbo / DiT) diffusion engines.---#### 🛠️ Workflows &amp; Generation Settings* ComfyUI Workflows: Complete, production-ready ComfyUI graphs are embedded directly within the metadata of the preview images. Simply drag and drop any original PNG preview file into your ComfyUI workspace to load the exact node graph.* Samplers &amp; Schedulers: The model is highly responsive to sampling variations:* Personal Preference: For crisp detail retention and consistent rendering, I predominantly use the Euler (or Euler a) sampler paired with the beta or simple scheduler.Optimized for ease of use and natural language prompting. No negative prompt needed!⚙️ Recommended Settings:<ul><li>CFG Scale: <code>1.0</code> (higher values ​​are possible, but generation will be slower)</li><li>Sampling Steps: <code>7 - 14</code></li><li>Sampler: <code>Euler</code></li><li>Scheduler: <code>Beta</code>, <code>Simple</code>, or <code>Normal</code></li><li>Recommended Resolution:<ul><li>Base: <code>832 x 1216</code></li><li>For maximum hyper-detail &amp; realism: <code>1248 x 1824 and more</code></li></ul></li></ul>If you enjoyed this generation model, please leave a "like" and share your work. Thank you for your support and advice.Happy generating!

UnrealVision (Krea2/ZIT/Universal)

"Turbo" version. Number of steps: 4 to 10 (6–8 is optimal). The texturing blocks in the final stage have been slightly modified, and the shadows have been reworked. It wouldn't be accurate to say this version is better or worse than the first; it’s simply a bit different, while the core foundation remains the same.

Files with SHA256: 190edb972a94f1d6563d03b5adc21b5b2996df6a21ae9b819d567e6c6a1ca239