AuraSR
The facts below are what the maker publishes about AuraSR, checked and dated. Our editors have not written about it yet.
Plans and prices
From AuraSR's own pricing page, checked 12 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| AuraSR open-source package | Free | GAN image upscaling · install with pip · CC-BY-SA-4.0 license |
| fal API usage | Free | Pay for processing time · overlapping tiles double inference time · per compute second |
The facts
Each one read from AuraSR's own pages, with the date it was checked.
What it does
- API access
- Yeschecked 22 Sep 2026
- API integration
- The model API documentation provides a JavaScript client flow using @fal-ai/client and an API key.checked 12 Oct 2026
- API workflow
- The API supports queued requests, status checks, result retrieval, and optional webhooks.checked 12 Oct 2026
- Architecture
- The project describes AuraSR as a variation of the GigaGAN paper for image-conditioned upscaling.checked 12 Oct 2026
- Checkpoints
- The API supports v1 and v2 checkpoints and defaults to v1.checked 12 Oct 2026
- Dependencies
- The package metadata lists PyTorch 2.0 or later, torchvision, NumPy, einops, huggingface_hub, and safetensors as installation requirements.checked 12 Oct 2026
- Deployment style
- The published usage example loads the model in Python and performs upscaling in code.checked 12 Oct 2026
- Image loading example
- The README example uses requests and Pillow to load an image from a URL before upscaling it.checked 12 Oct 2026
- Input
- The API requires an image_url and accepts publicly accessible image URLs or Base64 data URIs for file inputs.checked 12 Oct 2026
- Input formats
- JPG, JPEG, PNG, WebP, GIF, AVIF, HEIC, HEIFchecked 22 Sep 2026
- Install
- The repository README shows installation with pip install aura-sr and use through the Python AuraSR package.checked 12 Oct 2026
- Installation
- The README shows installing AuraSR with `pip install aura-sr` and loading it in Python with `AuraSR.from_pretrained()`.checked 12 Oct 2026
- Intended users
- fal describes the hosted model as suited to content creators, designers, and developers needing image enhancement.checked 12 Oct 2026
- License
- The repository identifies its license as CC-BY-SA-4.0.checked 12 Oct 2026
- Maximum scale
- customchecked 22 Sep 2026
- 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.checked 12 Oct 2026
- Product pricing
- The AuraSR repository and its usage instructions provide no AuraSR-specific price or subscription plan.checked 12 Oct 2026
- Purpose
- AuraSR is a GAN-based super-resolution implementation for real-world images, described as a variation of GigaGAN for image-conditioned upscaling.checked 12 Oct 2026
- 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.checked 12 Oct 2026
- Seam reduction
- Overlapping tiles help remove seams and double inference time.checked 12 Oct 2026
The company
- Company founding
- fal says it was founded in 2021 by Burkay Gur and Gorkem Yurtseven.checked 12 Oct 2026
- Headquarters
- fal says it is headquartered in San Francisco.checked 12 Oct 2026
- Maintainer company
- fal describes itself as an AI inference platform for developers, while the AuraSR repository is hosted under the fal-ai GitHub organization.checked 12 Oct 2026
- Maker
- fal says it was founded in 2021 and is headquartered in San Francisco.checked 12 Oct 2026
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