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Deploy Z Image Turbo on dedicated infrastructure

Z Image Turbo is already modeled in the repo as a dedicated image deployment target for teams prioritizing faster image generation and enterprise control.

Dedicated GPU
Private workloads
Production ready
Z Image Turbo sample output

Why teams deploy Z Image Turbo

Teams choose dedicated infrastructure for Z Image Turbo when they need complete control over performance, security, runtime configuration, and production-scale reliability.

faster image generation

private image APIs

dedicated enterprise image backends

Modality

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Deployment

Dedicated Z Image Turbo runtime with repo-backed enterprise support

Inputs

Prompts, optional init image, up to 1488px width and height, webhook callbacks

Outputs

Low-latency text-to-image and image-to-image generations

Production showcase

Showcase

Production-quality outputs generated with Z Image Turbo running on dedicated GPU infrastructure.

Z Image Turbo sample output
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Z Image Turbo sample output

Supported capabilities

Text to image

Image to image

Up to 2 samples

Webhook-based enterprise delivery

Common use cases

interactive media tools

private creative generation

high-throughput draft rendering

What you get with Enterprise

Dedicated GPU deployment with no shared queue contention

100% private workloads, prompts, and generated outputs

Code access for custom runtimes, adapters, and optimization

Bring-your-own S3 storage for assets, checkpoints, and outputs

Enterprise Deployment

Get a dedicated GPU for this model

Get Z Image Turbo running on a GPU dedicated to your team — with private data flow, full code access, and S3-backed storage for production workloads.

Full privacy for prompts, inputs, and outputs
Code access for custom runtimes and adapters
Your own S3 for checkpoints and generated assets
Dedicated GPU — no shared queue or throttling

Starting at

$249/month

Scale to higher GPU tiers when you need more VRAM, throughput, or concurrency.

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