File size: 1,695 Bytes
b114524
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
import gradio as gr
import numpy as np
import os
import cv2
from PIL import Image, ImageDraw
import insightface
from insightface.app import FaceAnalysis

# Insightface model
app = FaceAnalysis(name='buffalo_l')
app.prepare(ctx_id=0, det_size=(640, 640))


def generate_image(src_img, dest_img):
    # Convert to RGB
    src_img = src_img.convert(mode='RGB')
    dest_img = dest_img.convert(mode='RGB')

    # Convert to array
    src_img_arr = np.asarray(src_img)
    dest_img_arr = np.asarray(dest_img)

    # Face detection
    src_faces = app.get(src_img_arr)
    dest_faces = app.get(dest_img_arr)

    # Initialize swapper
    swapper = insightface.model_zoo.get_model('./inswapper_128.onnx', download=False, download_zip=False)
    #swapper = insightface.model_zoo.get_model('./inswapper_128.onnx')


    # Swap face
    res = dest_img_arr.copy()
    for face in dest_faces:
    	res = swapper.get(res, face, src_faces[0], paste_back=True)

    # Convert to PIL image
    final_image = Image.fromarray(np.uint8(res)).convert('RGB')

    return final_image 


iface = gr.Interface(fn=generate_image, inputs=[
    gr.Image(type="pil", label="Source Image"),
    gr.Image(type="pil", label="Destination Image")], 
    outputs=gr.Image(type="pil", label="Final Image"),
    theme=gr.themes.Base(primary_hue=gr.themes.colors.teal, font=["helvetica"]),
    examples=[["Images/kim.jpg", "Images/marilyn.jpg"]],
    description=
        """ # Face Swap
        by <a href="https://www.tonyassi.com/" style="color: #97d8be;">Tony Assi</a>
        
        Try out [Video Face Swap](https://huggingface.co/spaces/tonyassi/video-face-swap). Please ❤️ this Space.

        """
    )
iface.launch()