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Shineii86/ZImageUpscaler

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

Python ⑂ 1 forks 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%

Why this is classified AI-related

The AI relevance score checks four places for AI keywords and adds the weight of each one that matches. Full methodology

Repository name no match
Description +25 matched: ai
GitHub topics +25 matched: ai
README head +20 (derived from the score — README text is not stored)
Exclusion penalty -10

Total AI relevance score: 60 / 100

Position among AI repos in the same language

We track 12,475 Python repos, of which 9,636 score 40 or above on AI relevance. 2,088 have more stars than this one (top 16.7%), and 3,840 score higher (top 30.8%).

Owner

Account
Shineii86
Type
User
Followers
48

「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 2026-05-19
First seen here 2026-05-16
Last fetched 2026-08-18 16:21

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