The uncompromising power of Base, packed into the lightning speed of Turbo.

ZIT-Prism (Z-Image-Turbo Prism) is a custom fine-tuned and fully distilled derivative of the Z-Image-Base model. If you love the deep prompt adherence, complex textures, and high-fidelity details of the Base model but hate waiting for 30–50 steps, this is the model for you.

By carefully fine-tuning and distilling the Base architecture, ZIT-Prism achieves stunning, production-ready generations in just 8 steps.

✨ Why use ZIT-Prism?

• Best of Both Worlds: Retains the rich compositional intelligence and aesthetics of Z-Image-Base while generating at the speed of Z-Image-Turbo.

⚙️ Recommended Generation Settings

To get the absolute best results out of this distilled model, please use the following parameters:

• Steps: 8

• CFG Scale: 1.0

• Sampler: Euler / Euler a

Feel free to experiment!

🧩 LoRA Compatibility (Important!)

Because ZIT-Prism is fundamentally built on the Base architecture (despite its Turbo-like speed), only Z-Image-Base trained LoRAs are officially supported.

• ✅ Z-Image-Base trained LoRAs: Work flawlessly.

• ❓ Z-Image-Turbo trained LoRAs: You can certainly give them a try, but results may be unpredictable or deep-fried due to the conflicting distillation methods.

💬 Prompting Advice

ZIT-Prism thrives on both natural language prompting and tags as the model Z-Image was trained with both!

As per this paper by Tongyi-MAI - creator of Z-Image: Paper page - Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer