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import insightface
from insightface.app import FaceAnalysis
import gradio as gr
def Swap_Face(image1,image2):
app = FaceAnalysis(name='buffalo_l')
app.prepare(ctx_id=0, det_size=(640, 640))
swapper = insightface.model_zoo.get_model("inswapper_128.onnx", download=False,
download_zip=False)
face_enhancer = gfpgan.GFPGANer(model_path='GFPGANv1.4.pth', upscale=1)
# Do the swap
face1 = app.get(image1)[0]
face2 = app.get(image2)[0]
img1_ = image1.copy()
result = swapper.get(img1_, face1, face2, paste_back=True)
_, _, result = face_enhancer.enhance(result,paste_back=True)
return result
title = "Swap Faces Using Our Model!!!"
iface = gr.Interface(fn=Swap_Face,inputs=["image","image"],outputs="image",title=title)
iface.launch(share=True) |