The fastest way to get this model running locally is via Docker.
Just follow the guidelines provided below.
The installer automatically pulls the model (could be multiple GBs).
During setup, the script automatically determines and applies the best settings tailored to your machine.
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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