To get this model running locally in no time, utilize the built-in WSL tools.

Follow the guidelines below to continue.

The installer auto-downloads and deploys the entire model pack.

The installer will automatically analyze your hardware and select the optimal configuration.

🖹 HASH-SUM: 0b8f9bbe33098a4fdee38aa118b173f6 | 📅 Updated on: 2026-06-29 Verify Processor: 6-core 3.5 GHz minimum required RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: 80 GB NVMe SSD required for fast model weights loading GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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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