2921323707

2921323707 / self_pixiv_downloader

Public

pixiv 下载工具链，基于rust重建，支持智能检索，批量下载

application pixiv-downloader rust tauri-v2
30
2
85% credibility
Found May 27, 2026 at 30 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Pixiv Platform is a personal desktop application that helps you download, organize, and browse artwork from Pixiv. You can download single illustrations, batch download works by your favorite artists, sync your bookmarks, or use AI-powered smart search that understands plain English descriptions and converts them to the right search tags. Downloaded artwork is stored locally on your computer in an organized gallery with filtering by tags, category, and source. The app runs as a web interface or as a native Windows or Mac desktop application, with settings to configure your Pixiv login, AI preferences, download folder, and content visibility rules.

How It Works

1
📥 You install Pixiv Platform

You download and install the app on your computer, choosing between the web version or the desktop app for Windows or Mac.

2
🔑 You connect your Pixiv account

In the Settings area, you log into your Pixiv account so the app can access your bookmarks and download works on your behalf.

3
🎨 You download artwork your way

Choose how to download: grab a single illustration by ID, get everything from your favorite artist, sync your bookmarks, or describe what you want in plain English and let AI figure out the search tags.

4
How do you want to find artwork?
🔢
Single or Author

Download one specific illustration or everything by a particular artist.

❤️
Bookmarks

Sync all the works you've saved to your Pixiv account.

✨
Smart Search

Type what you want in plain language, like 'blue hair cyberpunk girl', and AI converts it to the right search tags.

5
📊 You watch your downloads progress

The Tasks panel shows real-time progress on each download, letting you know when items are saved or if anything fails.

6
🖼️ Your gallery fills up

All downloaded illustrations appear in your local Gallery, organized by tags, category, and source, ready to browse anytime.

🎉 Your collection is yours

Every illustration sits safely on your computer with full details and tags, completely offline and searchable whenever you want.

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Star Growth

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AI-Generated Review

What is self_pixiv_downloader?

Pixiv Platform is a self-hosted downloader for Pixiv artwork, rebuilt from scratch in Rust. It gives you a web dashboard and desktop apps to fetch single works, batch-download by artist, or pull your entire bookmark collection. The standout feature is Smart Retrieval: describe what you want in plain English, and it uses DeepSeek to convert your request into actual Pixiv tags before launching the download. Everything gets indexed in a local SQLite database, so you can browse your downloaded gallery, filter by tag or author, and monitor task progress through the UI. The backend exposes a REST API for programmatic access, and you get native desktop apps for both Windows and macOS.

Why is it gaining traction?

The Rust rewrite brings reliability and speed to what was previously a fragile workflow. Developers are drawn to the Smart Retrieval feature, which removes the friction of knowing exact Pixiv tag names. The local-first architecture means your downloads and metadata stay on your machine, not in someone else's cloud. Having both a web interface and native desktop apps covers different workflows. The project also takes security seriously: secrets are masked in API responses, and file paths are validated to prevent directory traversal attacks.

Who should use this?

Artists and collectors who want offline access to their Pixiv bookmarks. Developers building automation around art discovery. Anyone frustrated with existing tools that require browser extensions or manual downloads. The Smart Retrieval feature is particularly useful if you search in natural language rather than knowing specific tags.

Verdict

This is a well-architected tool with a solid feature set, but the 0.85% credibility score and 30 stars reflect a young project. The codebase shows good test coverage and documentation, but it lacks the community validation that comes with time. Worth trying if you need the specific workflow it enables, but treat it as a personal tool rather than production infrastructure.

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