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z_image_turbo Uncensored Edition Step-by-Step

z_image_turbo Uncensored Edition Step-by-Step

The fastest way to get this model running locally is via Docker.

Follow the guidelines below to continue.

The loader auto-caches the model archive (several GBs included).

The smart installation system will instantly find the perfect configuration for your specific hardware.

🔗 SHA sum: e4b741d5844934bdd83b6037d5abd859 | Updated: 2026-06-25



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Disk Space: 100 GB for multi-modal model vision components
  • 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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