
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.
Seedance 2.0 is here - create consistent, multimodal AI videos faster with images, videos, and audio in one prompt.
Try NowReal-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

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.
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.
Starting at
$1999/month
Scale to higher GPU tiers when you need more VRAM, throughput, or concurrency.
Explore similar models in the same category for your deployment needs.

Stable Diffusion is still the broadest open image generation family for teams that want checkpoint flexibility, custom fine-tunes, adapters, and private asset pipelines.

SDXL is the default open model choice for teams that want strong prompt adherence and broad ecosystem support without giving up deployment control.

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.

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.

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.

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.
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