EMA-VFI-WebUI
Advanced AI-Based Video Renovation UI Using EMA-VFI & Real-ESRGAN
Stars: 62
EMA-VFI-WebUI is a web-based graphical user interface (GUI) for the EMA-VFI AI-based movie restoration tool. It provides a user-friendly interface for accessing the various features of EMA-VFI, including frame interpolation, frame search, video inflation, video resynthesis, frame restoration, video blending, file conversion, file resequencing, FPS conversion, GIF to MP4 conversion, and frame upscaling. The web UI makes it easy to use EMA-VFI's powerful features without having to deal with the command line interface.
README:
🎬 Windows 11 example install steps 4/20/2024
💥 See more samples in the Samples Showcase
Example - Interpolated Frames |
---|
Example - GIF to MP4 (frame size X4, frame rate X8) | Example - Original GIF |
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https://user-images.githubusercontent.com/825994/224548062-4cad649c-5cdb-4f66-936d-e2296eb0fbc8.mp4 |
Example - Resyntheszed Video (YouTube) |
---|
https://youtube.com/shorts/lKtY2CHqA98?feature=share |
Upper: 8MM footage with heavy dirt and noise |
Lower: Same footage after using Resynthesize Video |
🎬 EMA-VFI-WebUI Features | |
---|---|
➗ Frame Interpolation | Restore Missing Frames, Reveal Hidden Motion |
🔎 Frame Search | Synthesize Between Frames At Precise Times |
🎈 Video Inflation | Create Super Slow-Motion |
💕 Resynthesize Video | Create a Complete Set of Replacement Frames |
🪄 Frame Restoration | Restore Adjacent Missing / Damaged Frames |
🔬 Video Blender | Project-Based Movie Restoration |
📁 File Conversion | Convert between PNG Sequences and Videos |
🔢 Resequence Files | Renumber for Import into Video Editing Software |
🎞️ Change FPS | Convert any FPS to any other FPS |
💎 GIF to MP4 | Convert Animated GIF to MP4 in one click |
📈 Upscale Frames | Use Real-ESRGAN to Enlarge and Clean Frames |
- Get EMA-VFI working on your local system
- See their repo at https://github.com/MCG-NJU/EMA-VFI
- I run locally with:
- Anaconda 23.1.0
- Python 3.10.9
- Torch 1.13.1
- Cuda 11.7
- NVIDIA RTX 3090
- Windows 11
- Clone this repo in a separate directory and copy all directories/files on top of your working EMA-VFI installation
- This code makes no changes to their original code (but borrows some) and causes no conflicts with it
- It shouldn't introduce any additional requirements over what EMA-VFI, Gradio-App and Real-ESRGAN need
- If it's set up properly, the following command should write a new file
images/image1.png
using default settings
python interpolate.py
- Get EMA-VFI working on your local system
- See their repo at https://github.com/MCG-NJU/EMA-VFI
- I run locally with:
- Anaconda 23.1.0
- Python 3.10.9
- Torch 1.13.1
- Cuda 11.7
- NVIDIA RTX 3090
- Windows 11
- Clone this repo to a directory in which you intend to use the app and/or develop on it
- Copy the following directories and files from your working EMA-VFI installation to this directory:
benchmark
ckpt
model
config.py
dataset.py
Trainer.py
- If it's set up properly, the following command should write a new file
images/image1.png
python interpolate.py
The GIF to MP4 feature uses Real-ESRGAN to clean and upscale frames
- Get Real-ESRGAN working on your local system
- See their repo at https://github.com/xinntao/Real-ESRGAN
- Clone their repo to its own directory and follow their instructions for local setup
- Copy the
realesrgan
directory to yourEMA-VFI-WebUI
directory
- The Real-ESRGAN 4x+ model (65MB) will automatically download on first use
A few features rely on FFmpeg being available on the system path
The application can be started in any of these ways:
webui.bat
-
python webui.py
-
Command line arguments
-
--config_path path
path to alternate configuration file, defaultconfig.yaml
-
--verbose
enables verbose output to the console, default False
-
-
Command line arguments
The core feature have command-line equivalents
Thanks! to the EMA-VFI folks for their amazing AI frame interpolation tool
Thans! to the Real-ESRGAN folks for their wonderful frame restoration/upscaling tool
Thanks! to the stable-diffusion-webui folks for their great UI, amazing tool, and for inspiring me to learn Gradio
Thanks to Gradio for their easy-to-use Web UI building tool and great docs
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