Deploying locally takes the least amount of time when executed through native OS tools.
Check out the detailed setup guide below to begin.
The script takes care of fetching the multi-gigabyte model weights.
During setup, the script automatically determines and applies the best settings.
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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