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Deploy ControlNet on dedicated infrastructure

ControlNet is still one of the most useful open add-on stacks for structure-guided image generation when teams need more control than prompt-only workflows can provide.

Dedicated GPU
Private workloads
Production ready
ControlNet sample output

Why teams deploy ControlNet

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

structure-guided generation

enterprise design control

adapter-heavy pipelines

Modality

Image

Deployment

Dedicated adapter-enabled image runtime on enterprise GPU

Inputs

Control images, prompts, structural conditioning assets, enterprise checkpoints

Outputs

Structure-guided image generations and edits

Production showcase

Showcase

Production-quality outputs generated with ControlNet running on dedicated GPU infrastructure.

ControlNet sample output
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ControlNet sample output

Supported capabilities

Conditioned generation

Custom checkpoint stacks

Private workflows

Dedicated runtime control

Common use cases

pose-guided imaging

layout control

private enterprise design pipelines

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 ControlNet 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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