The fastest way to get this model running locally is via Docker.
Refer to the instructions below to proceed.
The setup auto-streams the model assets (expect a multi-GB download).
You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.
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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