ImageDedicated GPU
Stable Diffusion
Stable Diffusion is still the broadest open image generation family for teams that want checkpoint flexibility, custom fine-tunes, adapters, and private asset pipelines.
Text to imageImage to image
Image
Real-ESRGAN API on dedicated GPU
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
Why teams deploy Real-ESRGAN
Dedicated enterprise hosting is useful for Real-ESRGAN when the workload includes sensitive prompts, proprietary assets, internal product context, or runtime customization that does not belong on a shared public endpoint.
private image upscaling
restoration pipelines
post-processing backends
Deployment profile
- Modality
- Image
- Deployment
- Dedicated super-resolution runtime on enterprise GPU
- Pricing floor
- $1999/month
What you can run
Image upscaling
Restoration
Private media handling
Dedicated throughput
Common enterprise use cases
catalog cleanup
media restoration
post-processing APIs
Source links and reference material
Why ModelsLab Enterprise fits this model
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
Deploy this model on dedicated GPU
Deploy Real-ESRGAN with dedicated GPUs, private data flow, code access, and S3-backed storage so your team can run production workloads without shared infrastructure tradeoffs.
100% privacy for prompts, inputs, and outputs
Code access for custom runtimes and adapters
Bring-your-own S3 for checkpoints and generated assets
Dedicated GPU throughput with no shared queue
Pricing
$1999/month
Starting price for enterprise dedicated GPU plans. Move to higher GPU tiers when you need more VRAM, throughput, or concurrency.
Related enterprise model pages
Use these related pages to compare adjacent models in the same deployment category.
ImageDedicated GPU
Stable Diffusion XL
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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ImageDedicated GPU
Stable Diffusion 3.5 Large
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.
Text to imageControlled image workflows
ImageDedicated GPU
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.
Text to imageImage-to-image pipelines
ImageDedicated GPU
Stable Diffusion 1.5
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.
Text to imageImage to image
ImageDedicated GPU
SDXL Turbo
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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