Kolors-IP-Adapter-FaceID-Plus weights and inference code
๐ Introduction
We provide Kolors-IP-Adapter-FaceID-Plus module weights and inference code based on Kolors-Basemodel. Examples of Kolors-IP-Adapter-FaceID-Plus results are as follows:
- Our Kolors-IP-Adapter-FaceID-Plus module is trained on a large-scale and high-quality face dataset. We use the face ID embeddings generated by insightface and the CLIP features of face area to keep the face ID and structure information.
๐ Evaluation
For evaluation, we constructed a test set consisting of over 200 reference images and text prompts. We invited several image experts to provide fair ratings for the generated results of different models. The experts assessed the generated images based on five criteria: visual appeal, text faithfulness, face similarity, facial aesthetics and overall satisfaction. Visual appeal and text faithfulness are used to measure the text-to-image generation capability, adhering to the evaluation standards of BaseModel. Meanwhile, face similarity and facial aesthetics are used to evaluate the performance of the proposed Kolors-IP-Adapter-FaceID-Plus. The results are summarized in the table below, where Kolors-IP-Adapter-FaceID-Plus outperforms SDXL-IP-Adapter-FaceID-Plus across all metrics.
Model | Average Text Faithfulness | Average Visual Appeal | Average Face Similarity | Average Facial Aesthetics | Average Overall Satisfaction |
---|---|---|---|---|---|
SDXL-IP-Adapter-FaceID-Plus | 4.014 | 3.455 | 3.05 | 2.584 | 2.448 |
Kolors-IP-Adapter-FaceID-Plus | 4.235 | 4.374 | 4.415 | 3.887 | 3.561 |
Kolors-IP-Adapter-FaceID-Plus employs chinese prompts, while SDXL-IP-Adapter-FaceID-Plus use english prompts.
๐ ๏ธ Usage
Requirements
The dependencies and installation are basically the same as the Kolors-BaseModel.
- Repository Cloning and Dependency Installation
apt-get install git-lfs
git clone https://github.com/Kwai-Kolors/Kolors
cd Kolors
conda create --name kolors python=3.8
conda activate kolors
pip install -r requirements.txt
pip install insightface onnxruntime-gpu
python3 setup.py install
- Weights download link๏ผ
huggingface-cli download --resume-download Kwai-Kolors/Kolors-IP-Adapter-FaceID-Plus --local-dir weights/Kolors-IP-Adapter-FaceID-Plus
or
git lfs clone https://huggingface.co/Kwai-Kolors/Kolors-IP-Adapter-FaceID-Plus weights/Kolors-IP-Adapter-FaceID-Plus
- Inference๏ผ
python ipadapter_FaceID/sample_ipadapter_faceid_plus.py ./ipadapter_FaceID/assets/image1.png "็ฉฟ็ๆ็คผๆ๏ผๅจๆๅ
ไธ็ๆๅฎดๅบๆฏไธญ๏ผ็ๅ
้ช้ช๏ผๆดไธชๅบๆฏๆดๆบข็ๆตชๆผซ่ๅฅขๅ็ๆฐๅด"
python ipadapter_FaceID/sample_ipadapter_faceid_plus.py ./ipadapter_FaceID/assets/image2.png "่ฅฟ้จ็ไป๏ผ็ไปๅธฝ๏ผ่้ๅคง้ๅฎข๏ผ่ๆฏๆฏ่ฅฟ้จๅฐ้๏ผไปไบบๆ๏ผ,ๆฅ่ฝไฝๆ, ๆ่ฒ่ฐ, ไฝฟ็จXT4่ถ็ๆๆ, ๅช็น, ๆๅฝฑ, ๆฏ่พพ่ถๅท๏ผๅคๅค"
Acknowledgments
- Thanks to insightface for the face representations.
- Thanks to IP-Adapter for the codebase.
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