What is price of Dedicated GPU?

Starts with $249 per month, you can pay yearly and get 20% discount.

Is there any limit on image generation?

No, There is no limit. You can generate as many images as you want.

How much time it takes to generate images?

It takes 1.2s second to generate a image on dedicated GPU. But depends on your image size and steps.

Will i get images with my copyright?

Yes, all images you generate have your copyright. Use it as you like or sell as you like.

Support after purchase?

24X7 support team is available for any issues. Just drop message to support chat on website.

How many and what kind of models i can use?

You can upload .ckpt, lora, embeddings, controlnet and diffusers models. You can upload 100+ models.

Is there a queue for API calls?

Yes, there is a queue for API calls. If you make more than 100 API calls per second, it will be queued and processed in order. No API call will be lost.

Enterprise/Open-Source Models/ControlNet

Image

ControlNet on a dedicated GPU for your team

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.

Inputs

Control images, prompts, structural conditioning assets, enterprise checkpoints

Outputs

Structure-guided image generations and edits

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Why teams deploy ControlNet

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

structure-guided generation

enterprise design control

adapter-heavy pipelines

Deployment details

Modality: Image
Deployment: Dedicated adapter-enabled image runtime on enterprise GPU
Starting at: $1999/month

Supported capabilities

Conditioned generation

Custom checkpoint stacks

Private workflows

Dedicated runtime control

Common use cases

pose-guided imaging

layout control

private enterprise design pipelines

Resources and references

Official repositoryhttps://github.com/lllyasviel/ControlNet

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

$1999/month

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

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.

Fast text to imageInteractive generation loops

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