FunClip v2.1.0

FunClip v2.1.0

FunClip v2.1.0 is the project's first versioned GitHub release and a stable rollback point for the current local video-clipping application.

Highlights

• Select Paraformer for precise timestamp-based clipping, Fun-ASR-Nano for high-accuracy transcription, or SenseVoice for multilingual ASR with emotion and audio-event tags.
• Use transcript-driven LLM clipping through the supported providers, or optional TwelveLabs Pegasus for content-aware video selection.
• Require funasr>=1.3.29, including SenseVoice VAD-region sentence_info timestamps plus the real-time final-text and short-tail fixes from 1.3.28.
• Run the same public application in the FunClip Hugging Face Space.

Install

Download either source archive below, verify it with SHA256SUMS, extract it, and install the declared dependencies:

sha256sum -c SHA256SUMS --ignore-missing
pip install -r requirements.txt
python funclip/launch.py

Windows users can verify a downloaded archive with Get-FileHash -Algorithm SHA256 and compare the result with SHA256SUMS.

Assets

• FunClip-2.1.0.tar.gz: versioned source archive for Linux and macOS workflows.
• FunClip-2.1.0.zip: versioned source archive for Windows and general-purpose extraction.
• SHA256SUMS: SHA-256 digests for both archives.

The archives contain the tracked FunClip application source, documentation, and dependency manifest. Runtime dependencies and model weights are not bundled; model weights are not bundled because each model retains its own license and distribution terms.

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FunClip v2.1.0 是项目首个带版本号的 GitHub Release，为当前本地视频剪辑应用提供稳定下载和回退节点。版本支持 Paraformer、Fun-ASR-Nano、SenseVoice、基于字幕的大模型智能剪辑及可选的 TwelveLabs Pegasus，并要求 funasr>=1.3.29。下载 tar.gz 或 zip 后，请先使用 SHA256SUMS 校验，再安装 requirements.txt。归档仅包含 Git 已跟踪的应用源码、文档和依赖清单，不包含运行依赖或模型权重。