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Shineii86/ZImageUpscaler

🔍 AI-powered 2x/4x image upscaling with Real-ESRGAN — enhance photos, anime & illustrations on Google Colab

Python MIT GitHub ↗
★ 0
stars
60
AI relevance
50
solo dev
0
tool sigs

SUMMARY AI summary by gpt-5-mini

Z-Image Upscaler is a Google Colab-ready tool that uses Real-ESRGAN to perform 2× or 4× AI image upscaling with optional face restoration (GFPGAN). It targets users who want a no-install, one-click solution on Colab (T4 GPU recommended): photographers, illustrators, anime fans, hobbyists, and developers needing quick super-resolution without local setup. Key features: Real-ESRGAN general and anime models, GFPGAN face enhance, FP16 fast mode, tile mode for low VRAM, batch processing, Drive model cache, and simple export/download. Repo includes a 3-cell Colab notebook and modular source (config, downloader, upscaler, exporter). Licensed MIT; Python 3.10+ dependencies supplied.

GitHub Topics

#ai-upscaler #colab-notebook #face-enhancement #gfpgan #image-enhancement #image-upscaling #python #real-esrgan #super-resolution #anime-upscale

Language breakdown (by bytes)

Python
52%
Jupyter Notebook
48%

Owner

Account
Shineii86
Type
User
Followers
16

「アニメの世界に迷いながら、自分の物語を探してる🎬」

Dates

Created on GitHub 2026-05-16
Last push 2026-05-16
First seen here 2026-05-16
Last fetched 2026-05-16 18:15

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