lltcggie/waifu2x-caffe

waifu2xのCaffe版

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Summary Information

Updated 38 minutes ago
Added to GitGenius on September 8th, 2026
Created on May 28th, 2015
Open Issues & Pull Requests: 93 (+0)
GitHub issues: Enabled
Number of forks: 823
Total Stargazers: 8,216 (+0)
Total Subscribers: 259 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 14.9 days
Mean response time: 14.4 days
90th percentile: 27.7 days
Tracked items: 3

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Issue Activity (beta)

Open issues: 2
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 241 days
Stale 30+ days: 2
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

waifu2x-caffe is an image upscaling tool that implements the waifu2x conversion engine using Caffe and is optimized for Windows.

The tool solves the problem of enlarging images while preserving detail, particularly for anime-style artwork. It reimplements waifu2x's conversion functionality using the Caffe deep learning framework. The tool can process images on CPU, but achieves significantly faster conversion when using CUDA or cuDNN acceleration on compatible NVIDIA GPUs.

The tool targets Windows users who need to upscale images and have access to NVIDIA hardware. It requires Windows Vista or later in 64-bit, at least 1 GB of free memory, and optionally an NVIDIA GPU with Compute Capability 3.5 or higher. The GUI supports multiple languages including English, Japanese, Simplified and Traditional Chinese, Korean, Turkish, Spanish, Russian, and French. Users can process individual images or entire folders through the graphical interface, with drag-and-drop support for both input files and batch operations. Command-line options are available for both GUI and batch processing modes.

The project maintains a stable Windows-focused implementation with a straightforward feature set centered on image conversion. Development appears focused on maintaining compatibility with the Windows ecosystem and GPU acceleration capabilities rather than expanding into new platforms or architectural changes.