AuraSR Upscale
AuraSR Upscale costs $0.012/image on FairStack · an upscale model for Enlarging images 4x for print or large displays, Editor HD 4x upscales, Batch upscaling. No subscription required. Pay per generation with full REST API access. FairStack applies a transparent 20% margin on infrastructure cost so you always see the real price.
What is AuraSR Upscale?
AuraSR is a GAN-based super-resolution model that enlarges an image by exactly 4x in one pass. It is the model behind the Editor's HD 4x upscale and the default of the image Upscale action, so what you run there is what this page describes. It works on the image as it is, with no prompt. It sharpens edges and restores fine texture while enlarging, which suits photos, renders and illustrations that need more pixels for print, large displays or further editing. The scale factor is fixed at 4x. For a lighter, faster pass, ESRGAN is the other option. For selectable 1x-8x factors and stronger detail recovery on photographs, Topaz Image Upscale is the higher tier.
Key Features
What are AuraSR Upscale's strengths?
What are AuraSR Upscale's limitations?
What is AuraSR Upscale best for?
How much does AuraSR Upscale cost?
What parameters does AuraSR Upscale support?
Frequently Asked Questions
How much does AuraSR Upscale cost?
AuraSR Upscale costs $0.012/image on FairStack as of 2026-11-10. This price includes FairStack's transparent 20% margin on infrastructure cost. No subscription or monthly fee — you pay per generation only. Minimum deposit is $1.
What is AuraSR Upscale and what is it best for?
AuraSR is a GAN-based super-resolution model that enlarges an image by exactly 4x in one pass. It is the model behind the Editor's HD 4x upscale and the default of the image Upscale action, so what you run there is what this page describes. It works on the image as it is, with no prompt. It sharpens edges and restores fine texture while enlarging, which suits photos, renders and illustrations that need more pixels for print, large displays or further editing. The scale factor is fixed at 4x. For a lighter, faster pass, ESRGAN is the other option. For selectable 1x-8x factors and stronger detail recovery on photographs, Topaz Image Upscale is the higher tier. AuraSR Upscale is best for Enlarging images 4x for print or large displays, Editor HD 4x upscales, Batch upscaling. Available via FairStack's REST API with curl, Python, and Node.js SDKs.
Does AuraSR Upscale have an API?
Yes. AuraSR Upscale is available via FairStack's REST API at api.fairstack.ai. See the API reference at fairstack.ai/docs/api-reference for its endpoint. Works with curl, Python requests, Node.js fetch, and any HTTP client.
How does AuraSR Upscale compare to other image models?
AuraSR Upscale excels at Enlarging images 4x for print or large displays, Editor HD 4x upscales, Batch upscaling. It is an upscale model priced at $0.012/image on FairStack. Key strengths: Sharp edges and restored texture at 4x, Fast single-pass processing. Compare all image models at fairstack.ai/models.
What does AuraSR Upscale do?
It enlarges an image by exactly 4x using a GAN super-resolution model, sharpening edges and restoring texture without a prompt.
What are the known limitations of AuraSR Upscale?
The scale is fixed at 4x, and on photographs it recovers less fine detail than Topaz Image Upscale.