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Real-ESRGAN

Image super-resolution upscaler with AI — enhance and enlarge images with remarkable quality

★ 35,946 GitHub BSD-3-Clause image-upscalingsuper-resolutionimage-enhancementai-imageganesrgan Bild & Video

Überblick

Real-ESRGAN is a powerful open-source image super-resolution tool developed by TencentARC that uses Generative Adversarial Networks (GANs) to upscale and enhance images with remarkable quality. With over 36,000 GitHub stars, it has become the go-to solution for AI-powered image enhancement. Real-ESRGAN can upscale images by 2x, 3x, or 4x while restoring fine details, removing noise, and sharpening edges. It includes specialized models for anime and digital art (RealESRGAN_x4plus_anime) and a dedicated face enhancement module (GFPGAN) for restoring facial details in low-resolution photos. The tool supports batch processing, custom model training, and can be deployed via Docker or Python API. It runs on consumer GPUs with 4GB+ VRAM and also supports CPU-only inference.

Anforderungen

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Affiliate-Hinweis

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  real-esrgan:
    image: wpafbo79/real-esrgan:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/real-esrgan:/data

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Anleitungen & Artikel

How to Deploy Real-ESRGAN with Docker: Complete Image Upscaling Tutorial

From pulling the Docker image to batch-upscaling with face enhancement and anime models — this tutorial covers every step of deploying Real-ESRGAN.

Jun 29, 2026

Real-ESRGAN: The AI Image Upscaler With 36k Stars That Restores Detail, Not Just Pixels

Real-ESRGAN uses GAN-based super-resolution to upscale and restore images with remarkable quality. Includes anime and face-enhancement models. Here's how to use it.

Jun 29, 2026