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GIF Pal
Manage animated desktop pets with advanced tools for background removal, outline styling, scaling, and movement control. Supports GIF importing, collider calculation, and real-time customization for smooth, interactive pet behavior.

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关于此软件

About This Software

This is my first project — a lightweight Windows desktop tool.
It allows you to edit, outline, and process GIFs and images through a clean, modern interface.
The application also includes an interactive GIF snapping feature, letting you attach animated GIFs to windows and move them seamlessly across your desktop.

The app receives regular updates, design refinements, and new features based on user feedback.

Current Features 

  • GIF and image processing with quick load and export

  • Adjustable outline and color effects

  • Window snapping system for placing GIFs directly onto active windows

  • Draggable and movable animated overlays

  • Multi-threaded CPU support for faster rendering

  • Smart cache system for processed GIFs

  • Modern dark mode and compact interface

  • Native Windows API integration for smooth performance

系统需求

    最低配置:
    • 需要 64 位处理器和操作系统
    • 操作系统: Windows 10 (64-bit)
    • 处理器: Dual-core CPU, 2.0 GHz or better (Intel i3 or equivalent)
    • 内存: 4 GB RAM
    • 显卡: Integrated GPU (Intel HD Graphics or equivalent) — no dedicated GPU required
    • 网络: 宽带互联网连接
    • 存储空间: 需要 500 MB 可用空间
    • 声卡: Standard Windows-compatible sound device
    • 附注事项: App uses Win32 APIs for window snapping/tracking; background GIF processing is CPU-bound — large GIFs may run slowly on low-end CPUs.
    推荐配置:
    • 需要 64 位处理器和操作系统
    • 操作系统: Windows 10 / 11 (64-bit)
    • 处理器: Quad-core CPU, 2.5 GHz+ (Intel i5 / AMD Ryzen 5 or better)
    • 内存: 16 GB RAM
    • 显卡: Modern integrated GPU or entry-level dedicated GPU (for smoother UI)
    • 网络: 宽带互联网连接
    • 存储空间: 需要 2 GB 可用空间
    • 声卡: Standard Windows-compatible sound device
    • 附注事项: For processing many or very large GIFs (100+ frames, HD), 16 GB RAM and SSD significantly improves responsiveness. App leverages NumPy/SciPy CPU paths — more CPU cores help with parallel processing (up to 4 workers by default).

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