Deploying this model locally is quickest when done via a simple curl command.
Just follow the guidelines provided below.
1-click setup: the app automatically fetches the large weight files.
An automated hardware sweep ensures the system will select the best tuning parameters.
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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