SUPIR

At a glance

• Editor score
  6.6 / 10
• Pricing
  Open source
• Best for
  Technical researchers doing local restoration
• Paid from
  Free
• Upscaling method
  Ai
• Founded
  2024
• Facts checked
  22 Sep 2026

• Where it wins

  • Photo-realistic restoration with configurable upscaling ratios
  • Text-driven restoration supports positive and negative prompts
  • Local scripts, Gradio interface, face workflows, and tiled processing

• Where it doesn't

  • Requires technical setup, dependencies, and model checkpoints
  • Designed for CUDA-capable hardware and self-hosted execution
  • Commercial use requires separate written permission

Our verdict on SUPIR

SUPIR is an open-source image restoration and super-resolution system for low-quality photographs and other images. It is aimed at technically capable users who want local control over restoration and enlargement rather than a conventional hosted SaaS workflow. The project provides configurable upscaling, AI-based photo-realistic restoration, batch processing, and two model variants: SUPIR-v0Q and SUPIR-v0F. Its local focus suits researchers and advanced image-processing users who can manage a Python-based environment.

The standout capability is its combination of diffusion-based restoration controls and text guidance. Users can work with positive and negative prompts, optional language-model-based image understanding, and an optional face-focused restoration workflow. The configurable image upscaling ratio supports different enlargement needs, while tile-based VAE processing is intended to enable lower-memory execution. This makes SUPIR broader than a simple fixed-scale enlarger, particularly for restoration tasks where the desired result depends on image condition and inference settings.

SUPIR’s main trade-off is the setup and deployment model. Execution is local through Python inference scripts or a Gradio interactive interface, with dependencies, model checkpoints, and CUDA-capable hardware part of the intended workflow. That approach gives technical users more control but is less suitable for people seeking an immediately available browser service or a managed team product. The project is also described as non-commercial software, with commercial use requiring separate written permission. Choose SUPIR for local, configurable restoration research; choose an alternative if you need hosted access, simpler onboarding, or standard commercial licensing.

Your product? Our editors can test SUPIR in depth and publish a review, labelled as paid · from $149/mo →

SUPIR pricing

SUPIR fact sheet

Alternatives to SUPIR

• REReal-ESRGANA flexible open-source upscaler for local image, anime, and video workflows.9.4
• NextGenUpA capable local upscaler with broad enhancement tools and no subscription.9.3
• UpscaylA flexible upscaler with free local processing and credit-based cloud plans.9.1

See all SUPIR alternatives →

Featured on iTechGuides

SUPIR is listed in our Image Upscaling Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update