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DATASHEET // SUPIR

SUPIR

Diffusion-based photorealistic upscaler.

OPEN SOURCE12–24 GB VRAMRuns locally
Actually FreeNo SignupWatermark-FreePlugin

Requires: ComfyUI

Visit SUPIRUPDATED 2025-12-08 · DIRECT LINK
github.com/Fanghua-Yu/SUPIR
SUPIR — preview image

HARDWARE REQUIREMENTS //

Runs locally · Mid GPU (12 GB)

12–24 GB VRAM
Min VRAM
12 GB
Rec. VRAM
24 GB
Min RAM
16 GB
Rec. RAM
32 GB
Disk
20 GB
GPU class
Mid GPU
11.8+No Apple SiliconGPU RequiredQuant: FP16

FP16 fits in 12 GB with tiling; 24 GB lets you process larger inputs.

[ EDITORIAL PICK ]

Why we recommend SUPIR

DERIVED FROM METADATA — NOT SPONSORED
  • Genuinely free

    No paywall, no signup wall — you can use SUPIR today without handing over an email.

  • Runs on 12 GB

    Comfortable on a mid-range consumer card — no need to remortgage for an A100.

[ EVIDENCE NOTE ]

Documentation-led datasheet

This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.

VRAM guide →

AT-A-GLANCE SIGNALS //

DERIVED FROM THIS PAGE'S DATA
  • Install difficulty
    Plugin

    Drops into comfyui — assuming the host is already set up.

  • Hardware comfort
    Mainstream

    Needs 12 GB minimum — RTX 3060 12GB or 4070 territory.

  • Ecosystem
    Standard

    Not open source and no public API — what you see is what you get.

  • Verification
    Stale

    220 days since the last refresh — treat hardware numbers as a floor, not a ceiling.

[ COMMUNITY GUIDES & WORKFLOWS ]

Tutorials & deep-dives for SUPIR

Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.

[ MORE IN THIS NICHE ]

Other ai video editing tools we rate

Three picks across different tradeoffs — so you don't end up with three near-clones of SUPIR.

LIGHTEST HARDWARE //

FaceFusion

The most active open face-swap toolkit.

OPEN SOURCE2–8 GB VRAM
BEST FREE OPTION //

ComfyUI

The nodal workflow engine for serious diffusion.

OPEN SOURCE6–16 GB VRAM
TOP QUALITY //

FLUX.1 [dev]

12B parameter open-weight diffusion model.

OPEN SOURCE8–24 GB VRAM

What is SUPIR?

SUPIR (Scaling Up to Photorealistic Image Restoration) uses an SDXL backbone for upscaling — restoring fine detail by literally redrawing it instead of interpolating. Heavier than Real-ESRGAN by an order of magnitude but the photorealistic detail recovery on real photos is in a different class.

Pros & cons

✓ PROS

  • Reconstructs detail rather than interpolating — best for photos
  • Strong prompt conditioning for guided restoration
  • ComfyUI nodes available — fits straight into existing pipelines

– CONS

  • 16 GB VRAM minimum, 24 GB+ comfortable
  • Slow vs. Real-ESRGAN — minutes vs. seconds
  • Non-commercial licence

What's actually free?

Non-commercial research licence; weights & code public.

✓ Actually FreeNo SignupWatermark-Free

Alternatives

Topaz Video AI

GPU-accelerated upscaling, frame-interp, denoise.

PAID · $2994–12 GB VRAM
VRAM fit4–12 GB