modstart-lib/aigcpanel

AIGCPanel 是一个简单易用的一站式AI数字人系统,支持视频合成、声音合成、声音克隆,简化本地模型管理、一键导入和使用AI模型。

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Summary Information

Updated 16 minutes ago
Added to GitGenius on September 12th, 2026
Created on October 18th, 2024
Open Issues & Pull Requests: 5 (+0)
GitHub issues: Enabled
Number of forks: 828
Total Stargazers: 5,539 (+0)
Total Subscribers: 41 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 5.6 days
Mean response time: 19.4 days
90th percentile: 58.0 days
Tracked items: 39

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 8% of issues opened in the past year have been closed. Three people close 97% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 4
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 199 days
Stale 30+ days: 4
Stale 90+ days: 2

Recent activity

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

Top labels

  • help wanted (22)
  • bug (14)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

AIGCPanel is a desktop application for creating AI-generated digital humans that synthesizes video, audio, and voice.

The tool addresses the challenge of making AI model deployment accessible to non-technical users. It provides a unified interface for video synthesis using lip-sync models, text-to-speech and voice cloning, and audio-visual processing. Users can import local AI models with one click, manage them through a built-in model marketplace, or connect to remote API services. The core workflow involves selecting a digital human video, providing audio or text input, and generating synchronized video output. Beyond digital human creation, the application includes a toolbox of twenty-five audio and video processing utilities covering tasks like speech recognition with timestamps, audio normalization, video editing, and format conversion.

The tool suits creators, content producers, and streamers who want to generate video content without deep technical knowledge. It works well for projects requiring lip-synced video generation, voice cloning, or batch audio-visual processing. The application runs on Windows, macOS, and Linux as a standalone desktop program. A Pro version adds visual workflow orchestration for chaining operations together and cloud-based AI model services that eliminate the need for local GPU hardware. The standard version supports local model management and remote API integration, giving users flexibility in how they deploy models.

Development activity shows consistent engagement with feature expansion and platform support. The project maintains dual-language support in simplified Chinese and English. The tool integrates multiple open-source lip-sync models including MuseTalk, LatentSync, Wav2Lip, and Heygem, indicating ongoing evaluation and incorporation of community research. The codebase is built with TypeScript, Vue 3, and Electron, reflecting a modern web-based desktop application architecture.