AuraSR

Spec sheet

Purpose

AuraSR is a GAN-based super-resolution implementation for real-world images, described as a variation of GigaGAN for image-conditioned upscaling.Read 12 Oct 2026 · github.com

Intended users

fal describes the hosted model as suited to content creators, designers, and developers needing image enhancement.Read 12 Oct 2026 · fal.ai

License

The repository identifies its license as CC-BY-SA-4.0.Read 12 Oct 2026 · github.com

Headquarters

fal says it is headquartered in San Francisco.Read 12 Oct 2026 · fal.ai

Maker

fal says it was founded in 2021 and is headquartered in San Francisco.Read 12 Oct 2026 · fal.ai

API access

YesRead 22 Sep 2026 · github.com

API integration

The model API documentation provides a JavaScript client flow using @fal-ai/client and an API key.Read 12 Oct 2026 · fal.ai

API workflow

The API supports queued requests, status checks, result retrieval, and optional webhooks.Read 12 Oct 2026 · fal.ai

Architecture

The project describes AuraSR as a variation of the GigaGAN paper for image-conditioned upscaling.Read 12 Oct 2026 · github.com

Checkpoints

The API supports v1 and v2 checkpoints and defaults to v1.Read 12 Oct 2026 · fal.ai

Company founding

fal says it was founded in 2021 by Burkay Gur and Gorkem Yurtseven.Read 12 Oct 2026 · fal.ai

Dependencies

The package metadata lists PyTorch 2.0 or later, torchvision, NumPy, einops, huggingface_hub, and safetensors as installation requirements.Read 12 Oct 2026 · github.com

Deployment style

The published usage example loads the model in Python and performs upscaling in code.Read 12 Oct 2026 · github.com

Image loading example

The README example uses requests and Pillow to load an image from a URL before upscaling it.Read 12 Oct 2026 · github.com

Input

The API requires an image_url and accepts publicly accessible image URLs or Base64 data URIs for file inputs.Read 12 Oct 2026 · fal.ai

Input formats

JPG, JPEG, PNG, WebP, GIF, AVIF, HEIC, HEIFRead 22 Sep 2026 · github.com

Install

The repository README shows installation with pip install aura-sr and use through the Python AuraSR package.Read 12 Oct 2026 · github.com

Installation

The README shows installing AuraSR with `pip install aura-sr` and loading it in Python with `AuraSR.from_pretrained()`.Read 12 Oct 2026 · github.com

Maintainer company

fal describes itself as an AI inference platform for developers, while the AuraSR repository is hosted under the fal-ai GitHub organization.Read 12 Oct 2026 · fal.ai

Maximum scale

customRead 22 Sep 2026 · github.com

Moderation integration

fal says it integrated OpenAI's Omni moderation API for automated, real-time harmful-content detection and filtering across modalities on its platform.Read 12 Oct 2026 · fal.ai

Product pricing

The AuraSR repository and its usage instructions provide no AuraSR-specific price or subscription plan.Read 12 Oct 2026 · github.com

Seam handling

The README says `upscale_4x` processes non-overlapping tiles that can cause seams, while `upscale_4x_overlapped` reduces seams by making an additional pass and averaging results, doubling processing time.Read 12 Oct 2026 · github.com

Seam reduction

Overlapping tiles help remove seams and double inference time.Read 12 Oct 2026 · fal.ai

Security guidance

fal recommends keeping FAL_KEY out of client-side code and using a server-side proxy.Read 12 Oct 2026 · fal.ai

Trust and safety

fal says it has a dedicated Trust & Safety function and an enforcement process with defined escalation paths, documentation requirements, and appeal mechanisms.Read 12 Oct 2026 · fal.ai

Upscaling

The fal endpoint defaults to a 4x upscaling factor.Read 12 Oct 2026 · fal.ai

Upscaling method

aiRead 22 Sep 2026 · github.com

Plans and prices

Every AuraSR plan and price →

Where Specifiction places it

• Image Upscaling Software#45 of 998.1