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Real-ESRGAN on a dedicated GPU for your team

Real-ESRGAN is still one of the easiest SEO and enterprise wins in the open model stack because teams constantly need private upscaling and restoration pipelines.

Inputs

Images from internal storage, upload workflows, or downstream generation systems

Outputs

Upscaled or restored images for production use

Real-ESRGAN sample output

Why teams deploy Real-ESRGAN

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

private image upscaling
restoration pipelines
post-processing backends

Deployment details

Modality
Image
Deployment
Dedicated super-resolution runtime on enterprise GPU
Starting at
$1999/month

Supported capabilities

Image upscaling
Restoration
Private media handling
Dedicated throughput

Common use cases

catalog cleanup
media restoration
post-processing APIs

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 Real-ESRGAN 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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