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github.com/Kim2091/vapourkit @v0.16.1
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605 symbols
1,505 edges
116 files
73 documented · 12%
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README
Vapourkit
Vapourkit is a free, open source program for video upscaling and enhancement using VapourSynth and AI models. It provides a user-friendly interface for video processing with support for both NVIDIA TensorRT and DirectML (AMD/Intel/NVIDIA) backends.
🚀 Getting Started
Installation
Free download here 1. Download and extract/install to your desired location 2. On first launch, click "Start Setup" when prompted to install dependencies
Quick Start
- Select or drag-and-drop a video file
- Choose an upscaling model
- Configure output location and format
- Click "Upscale Video" to process
- Use "Preview Output" or "Compare Videos" to review results
For advanced features like custom filters and workflows, see Advanced Mode.
🌟 Features
Core Capabilities
- AI Video Upscaling: Process videos with high quality AI upscaling models
- Dual Backend Support: TensorRT (NVIDIA) or DirectML (AMD/Intel/NVIDIA)
- Real-time Preview: See results while processing
- Video Comparison: Built-in side-by-side viewer
- Batch Processing: Upscale multiple videos sequentially
🔬 Complete Control
- Pre-made Filters: Dozens of ready-to-use filters (thanks pifroggi!)
- Custom VapourSynth Filters: Write and chain custom video processing filters
- Templates & Workflows: Save/share filter configs (
.vkfilter) and complete workflows (.vkworkflow) - Custom Models: Import your own ONNX models
- Enhanced Batch Processing: Process multiple videos sequentially with custom workflows
Model Support
See Model Support for included models, custom model requirements, and model licensing details.
📋 System Requirements
Minimum Requirements
- OS: Windows 10/11 (x64)
- RAM: 8GB+ recommended
- Storage: 5 GB Minimum, 10 GB recommended free space for application and dependencies
- GPU:
- Minimum 6 GB VRAM
- NVIDIA 16xx series or newer (for TensorRT) AND at least driver version 580.x!
- AMD/Intel GPU with DirectX 12 support (for DirectML)
🔧 Development
See Development for more information.
📝 License
GPL 3.0 - See LICENSE file for details
Discord
Chat here about Vapourkit!
https://discord.gg/uYKMn2hGwB
🙏 Credits
- VapourSynth & vs-mlrt
- tepete's work on the filters & his plugins
- video-compare
- Sirosky's models
- the database's models
- vs-jetpack for additional VapourSynth filters
Other acknowledgments
- tepete/pifroggi, Bendel, leobby, Princess, and Hermes for beta testing!
Star History
Extension points exported contracts — how you extend this code
VideoMetadata (Interface)(no doc)
electron/videoMetadataExtractor.ts
Filter (Interface)
(no doc)
electron/scriptGenerator.ts
WindowManagers (Interface)
(no doc)
electron/windowManager.ts
VsMlrtDownloadProgress (Interface)
(no doc)
electron/vsMlrtManager.ts
ProcessResult (Interface)
(no doc)
electron/utils.ts
OutputInfo (Interface)
(no doc)
electron/vapourSynthInfoExtractor.ts
OnnxModelInfo (Interface)
(no doc)
electron/modelValidator.ts
DownloadProgress (Interface)
(no doc)
electron/dependencyManager.ts
Core symbols most depended-on inside this repo
infocalled by 233
src/utils/notifications.ts
error
called by 148
electron/queueItemLogger.ts
error
called by 74
src/utils/notifications.ts
getErrorMessage
called by 37
src/types/errors.ts
qlog
called by 26
electron/videoHandlers.ts
sendProgress
called by 21
electron/dependencyManager.ts
sendProgress
called by 21
electron/pluginInstaller.ts
parseBestSourceProgress
called by 17
electron/bestSourceProgressParser.ts
Shape
Languages
TypeScript100%
Modules by API surface
electron/configManager.ts51 symbols
electron/upscaleExecutor.ts28 symbols
src/electron.d.ts26 symbols
src/components/DynamicFilterPanel.tsx24 symbols
electron/dependencyManager.ts22 symbols
electron/pluginInstaller.ts21 symbols
src/components/ModelSelectorModal.tsx19 symbols
electron/modelExtractor.ts17 symbols
src/components/FilterSelectorModal.tsx14 symbols
src/utils/ffmpegConfig.ts13 symbols
src/components/PythonCodeEditor.tsx11 symbols
src/utils/notifications.ts10 symbols
For agents
$ claude mcp add vapourkit \
-- python -m otcore.mcp_server <graph>