z_image_turbo PC with NPU Uncensored Edition

The fastest method for installing this model locally is by using Docker.

Refer to the instructions below to proceed.

To guarantee smooth performance, the installation process auto-selects the best possible options for your PC.

📤 Release Hash: 5c4d0134fd9424c2188a39e055fdf84b • 📅 Date: 2026-06-28



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: enough space for background apps and OS overhead
  • Disk: 150+ GB for high-context vector database storage
  • Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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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