Installing EMA VFI WebUI - jhogsett/EMA-VFI-WebUI GitHub Wiki
Option 1: Overlay on EMA-VFI for Use
- 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
Option 2: Alternate Set Up for Development and Use
- 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