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| import insightface | |
| from insightface.app import FaceAnalysis | |
| import gradio as gr | |
| from gfpgan.utils import GFPGANer | |
| import onnxruntime | |
| def Swap_Face(image1,image2): | |
| providers = onnxruntime.get_available_providers() | |
| app = FaceAnalysis(name='buffalo_l',providers=providers) | |
| app.prepare(ctx_id=0, det_size=(640, 640)) | |
| swapper = insightface.model_zoo.get_model("inswapper_128.onnx", download=False, | |
| download_zip=False,providers=providers) | |
| face_enhancer = 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) | |
| 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) |