Skip to content

One-click Face Swapper and Restoration powered by insightface 🔥

Notifications You must be signed in to change notification settings

haofanwang/inswapper

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

46 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

inswapper

One-click Face Swapper and Restoration powered by insightface. We don't use the name ROOP here, as the credit should be given to the group that develops this great face swap model.

News

🔥 We release InstantID as a state-of-the-art ID preservering generation method.

Installation

# git clone this repository
git clone https://github.com/haofanwang/inswapper.git
cd inswapper

# create a Python venv
python3 -m venv venv

# activate the venv
source venv/bin/activate

# install required packages
pip install -r requirements.txt

You have to install onnxruntime-gpu manually to enable GPU inference, install onnxruntime by default to use CPU only inference.

Download Checkpoints

First, you need to download face swap model and save it under ./checkpoints. To obtain better result, it is highly recommended to improve image quality with face restoration model. Here, we use CodeFormer. You can finish all as following, required models will be downloaded automatically when you first run the inference.

mkdir checkpoints
wget -O ./checkpoints/inswapper_128.onnx https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128.onnx

cd ..
git lfs install
git clone https://huggingface.co/spaces/sczhou/CodeFormer

Quick Inference

from swapper import *

source_img = [Image.open("./data/man1.jpeg"),Image.open("./data/man2.jpeg")]
target_img = Image.open("./data/mans1.jpeg")

model = "./checkpoints/inswapper_128.onnx"
result_image = process(source_img, target_img, -1, -1, model)
result_image.save("result.png")

To improve to quality of face, we can further do face restoration as shown in the full script.

python swapper.py \
--source_img="./data/man1.jpeg;./data/man2.jpeg" \
--target_img "./data/mans1.jpeg" \
--face_restore \
--background_enhance \
--face_upsample \
--upscale=2 \
--codeformer_fidelity=0.5

You will obtain the exact result as above.

Acknowledgement

This project is inspired by inswapper, thanks insightface.ai for releasing their powerful face swap model that makes this happen. Our codebase is built on the top of sd-webui-roop and CodeFormer.

Contact

If you have any issue, feel free to contact me via haofanwang.ai@gmail.com.

About

One-click Face Swapper and Restoration powered by insightface 🔥

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages