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Z Image Turbo on a dedicated GPU for your team

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

Inputs

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

Outputs

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

Z Image Turbo sample output

Why teams deploy Z Image Turbo

Teams choose a dedicated GPU for Z Image Turbo when they need full control over sensitive prompts, proprietary assets, or custom runtime configurations that shared endpoints can't provide.

faster image generation
private image APIs
dedicated enterprise image backends

Deployment details

Modality
Image
Deployment
Dedicated Z Image Turbo runtime with repo-backed enterprise support
Starting at
$1999/month

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

$1999/month

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

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Explore similar models in the same category for your deployment needs.

Stable Diffusion sample output
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Stable Diffusion XL sample output
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SDXL is the default open model choice for teams that want strong prompt adherence and broad ecosystem support without giving up deployment control.

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Stable Diffusion 3.5 Large is positioned for higher-quality image generation teams that want a modern Stable Diffusion stack on infrastructure they fully control.

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Stable Diffusion 3.5 Medium sample output
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Stable Diffusion 3.5 Medium

Stable Diffusion 3.5 Medium is a lighter entry point for teams that want newer Stable Diffusion quality with more practical dedicated GPU cost envelopes.

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Stable Diffusion 1.5 sample output
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SD 1.5 still matters for legacy fine-tunes, mature community checkpoints, and teams that have existing prompt libraries they do not want to migrate yet.

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SDXL Turbo sample output
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SDXL Turbo is useful when speed matters more than maximal quality and teams want a fast, private image generation runtime on their own dedicated GPU envelope.

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