metadata
license: other
library_name: transformers
StyleID — Stylization-Agnostic Identity Encoder
StyleID is a CLIP-based image encoder trained to produce identity embeddings that are robust to stylization.
It can be used for identity similarity, retrieval, evaluation, and conditioning in generative models.
Installation
pip install pillow
pip install transformers==4.52.0
Usage
Do not use for multiple faces or faces too small to recognize.
import torch
from transformers import CLIPModel, CLIPProcessor
from PIL import Image
device = "cuda" if torch.cuda.is_available() else "cpu"
model = CLIPModel.from_pretrained("kwanY/styleid").to(device)
processor = CLIPProcessor.from_pretrained("kwanY/styleid")
img = Image.open(img_path).convert("RGB")
inputs = processor(images=img, return_tensors="pt").to(device)
with torch.no_grad():
emb = model.get_image_features(**inputs)
emb = emb / emb.norm(dim=-1, keepdim=True)