https://github.com/garuda8887/slowcraft

⚡ RIFE-powered SlowMo generator using Python & Tkinter
https://github.com/garuda8887/slowcraft

ai desktop-app ffmpeg frame-interpolation ncnn open-source python rife rife-ncnn-vulkan slow-motion tkinter video-enhancement video-processing vulkan

Last synced: 17 days ago
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⚡ RIFE-powered SlowMo generator using Python & Tkinter

• Host: GitHub
• URL: https://github.com/garuda8887/slowcraft
• Owner: Garuda8887
• License: other
• Created: 2025-06-23T08:10:39.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2025-06-23T15:02:53.000Z (12 months ago)
• Last Synced: 2025-06-25T17:50:36.112Z (12 months ago)
• Topics: ai, desktop-app, ffmpeg, frame-interpolation, ncnn, open-source, python, rife, rife-ncnn-vulkan, slow-motion, tkinter, video-enhancement, video-processing, vulkan
• Language: Python
• Homepage:
• Size: 10.9 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# 🎥 SlowCraft - RIFE SlowMo Generator

**SlowCraft** is a simple desktop app that lets you generate smooth slow-motion videos using the RIFE AI frame interpolation model. Built with Python and Tkinter, it's plug-and-play: just drop in a video, set your settings, and create buttery smooth slowmo.

![GitHub Banner](images/github_banner.png)

---

## 🛠 Features

- 📹 Upload any video (`.mp4`, `.avi`, `.mov`)

- 🎛 Choose custom start/end time or process entire video

- 🐢 Slow down by 2x, 4x, or 8x

- 🌟 Optional video enhancement: brightness + sharpening + denoise

- 🖼 Real-time frame preview

- 💾 Export with audio and save anywhere

---

## 🖼 Screenshots

### 🪄 Launch

![Launch](images/launch.png)

### 📤 Upload Video

![Upload Video](images/upload_video.png)

### ⏱ Select Range

![Range Selection](images/range_selected.png)

### 💡 Brightness Adjustment

![Brightness](images/brightness.png)

### ⚙️ Processing

![Processing](images/processing.png)

### ✅ Success

![Success](images/success.png)

---

## 📦 Requirements

- Python 3.8+

- `ffmpeg.exe` (download below)

- `rife-ncnn-vulkan.exe` (download below)

- RIFE model files (`rife-v4.6`)

---

## ⬇️ Setup Instructions

1. **Clone this repo**

   ```bash

   git clone https://github.com/Garuda8887/slowcraft.git

   cd slowcraft

   ```

2. **Install dependencies**

   ```bash

   pip install -r requirements.txt

   ```

3. **Download these files manually:**

   - `ffmpeg.exe`: [Download from FFmpeg Builds](https://www.gyan.dev/ffmpeg/builds/)

   - `rife-ncnn-vulkan.exe` + `models/rife-v4.6`: [Download from RIFE-NCNN-Vulkan](https://github.com/nihui/rife-ncnn-vulkan/releases)

   Place them in the root folder as shown below.

---

## 📁 Folder Structure

```

slowcraft/

├── slowcraft.py

├── README.md

├── ffmpeg.exe

├── rife-ncnn-vulkan.exe

├── models/

│   └── rife-v4.6/

```

---

## 🚀 Run the App

```bash

python slowcraft.py

```

---

## 🧠 Credits

- [RIFE AI Interpolation](https://github.com/megvii-research/ECCV2022-RIFE)

- [rife-ncnn-vulkan](https://github.com/nihui/rife-ncnn-vulkan)

- UI/UX by [Garuda8887](https://github.com/Garuda8887)

---

## 📃 License

MIT License – use freely, credit kindly.