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Nano Banana Pretrained Lite
Nano Banana Pretrained Lite is a prominent, lightweight image generation model for teams seeking fast, unlimited Nano Banana-style generations on private infrastructure.
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Deploy Real-ESRGAN on dedicated infrastructure
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.
Dedicated GPU
Private workloads
Production ready
Why teams deploy Real-ESRGAN
Teams choose dedicated infrastructure for Real-ESRGAN when they need complete control over performance, security, runtime configuration, and production-scale reliability.
private image upscaling
restoration pipelines
post-processing backends
Modality
Image
Deployment
Dedicated super-resolution runtime on enterprise GPU
Inputs
Images from internal storage, upload workflows, or downstream generation systems
Outputs
Upscaled or restored images for production use
Production showcase
Showcase
Production-quality outputs generated with Real-ESRGAN running on dedicated GPU infrastructure.
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Real-ESRGAN sample output
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
$249/month
Scale to higher GPU tiers when you need more VRAM, throughput, or concurrency.
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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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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.
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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
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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