Run z_image_turbo Windows 10 Direct EXE Setup
The most efficient approach for a local installation is leveraging Docker containers.
Refer to the instructions below to proceed.
The engine will automatically fetch large dependencies in the background.
You don’t need to tweak anything; the installer picks the highest performing setup.
The z_image_turbo model leverages a deep residual architecture to deliver real‑time image generation with unprecedented speed. It supports up to 4K resolution while maintaining high fidelity through advanced denoising techniques. The model’s parameter count of 1.5 B enables deployment on consumer GPUs without sacrificing quality. A dedicated tensor core optimization reduces inference latency to under 50 ms per image. The integrated adaptive scaling ensures consistent performance across diverse input styles and resolutions.
| Parameter Count | 1.5 B |
|---|---|
| Inference Latency | <50 ms |
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