This repository is a collection of existing Anime Super-Resolution and Restoration models for the convenience of researchers and engineers who want to restore anime images. This repo is a non-accelerated version of my Fast Anime VSR (https://github.com/Kiteretsu77/FAST_Anime_VSR/tree/main).
This repo is continuously developing! Feel free to leave your suggestions!
⭐ If you like Anime_SR_Restoration, please help star this repo. Thanks! 🤗
- 2023.12.09: This repo is released.
- Real-CUGAN: The original model weight provided by BiliBili (from https://github.com/bilibili/ailab/tree/main)
- Real-ESRGAN: Using Anime version RRDB with 6 Blocks (full model has 23 blocks) (from https://github.com/xinntao/Real-ESRGAN/blob/master/docs/model_zoo.md#for-anime-images--illustrations)
- VCISR: A model I trained with my paper using a private Anime training datasets (https://github.com/Kiteretsu77/VCISR-official)
git clone git@github.com:Kiteretsu77/Anime_SR_Restoration.git
cd Anime_SR_Restoration
# Create conda env
conda create -n ASRR python=3.10
conda activate ASRR
# Install Pytorch we use:
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
# Install Other packages:
pip install -r requirements.txt
- Setup opt.py for the input and output path
- Execute the following:
python inference.py
This project is released under the GPL 3.0 license.
If you have any questions, please feel free to contact with me at hikaridawn412316@gmail.com.