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app.py

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+import os
+import cv2
+import numpy as np
+import json
+import random
+from PIL import Image, ImageDraw, ImageFont
+import asyncio
+
+import requests
+import base64
+import gradio as gr
+# from IPython import embed
+
+machine_number = 0
+model = os.path.join(os.path.dirname(__file__), "models/eva/Eva_0.png")
+
+MODEL_MAP = {
+    "AI Model Rouyan_0": 'models/rouyan_new/Rouyan_0.png',
+    "AI Model Rouyan_1": 'models/rouyan_new/Rouyan_1.png',
+    "AI Model Rouyan_2": 'models/rouyan_new/Rouyan_2.png',
+    "AI Model Eva_0": 'models/eva/Eva_0.png',
+    "AI Model Eva_1": 'models/eva/Eva_1.png',
+    "AI Model Simon_0": 'models/simon_online/Simon_0.png',
+    "AI Model Simon_1": 'models/simon_online/Simon_1.png',
+    "AI Model Xuanxuan_0": 'models/xiaoxuan_online/Xuanxuan_0.png',
+    "AI Model Xuanxuan_1": 'models/xiaoxuan_online/Xuanxuan_1.png',
+    "AI Model Xuanxuan_2": 'models/xiaoxuan_online/Xuanxuan_2.png',
+    "AI Model Yaqi_0": 'models/yaqi/Yaqi_0.png',
+    "AI Model Yaqi_1": 'models/yaqi/Yaqi_1.png',
+    "AI Model Yaqi_2": 'models/yaqi/Yaqi_2.png',
+    "AI Model Yaqi_3": 'models/yaqi/Yaqi_3.png',
+    "AI Model Yifeng_0": 'models/yifeng_online/Yifeng_0.png',
+    "AI Model Yifeng_1": 'models/yifeng_online/Yifeng_1.png',
+    "AI Model Yifeng_2": 'models/yifeng_online/Yifeng_2.png',
+    "AI Model Yifeng_3": 'models/yifeng_online/Yifeng_3.png',
+}
+
+def add_waterprint(img):
+
+    h, w, _ = img.shape
+    img = cv2.putText(img, 'Powered by OutfitAnyone', (int(0.3*w), h-20), cv2.FONT_HERSHEY_PLAIN, 2, (128, 128, 128), 2, cv2.LINE_AA)
+
+    return img
+
+
+def get_tryon_result(model_name, garment1, garment2, seed=1234):
+
+    # model_name = "AI Model " + model_name.split("\\")[-1].split(".")[0] # windows
+    model_name = "AI Model " + model_name.split("/")[-1].split(".")[0] # linux
+    print(model_name)
+
+    encoded_garment1 = cv2.imencode('.jpg', garment1)[1].tobytes()
+    encoded_garment1 = base64.b64encode(encoded_garment1).decode('utf-8')
+
+    if garment2 is not None:
+        encoded_garment2 = cv2.imencode('.jpg', garment2)[1].tobytes()
+        encoded_garment2 = base64.b64encode(encoded_garment2).decode('utf-8')
+    else:
+        encoded_garment2 = ''
+
+    url = os.environ['OA_IP_ADDRESS']
+    headers = {'Content-Type': 'application/json'}
+    seed = random.randint(0, 1222222222)
+    data = {
+        "garment1": encoded_garment1,
+        "garment2": encoded_garment2,
+        "model_name": model_name,
+        "seed": seed
+    }
+    response = requests.post(url, headers=headers, data=json.dumps(data))
+    print("response code", response.status_code)
+    if response.status_code == 200:
+        result = response.json()
+        result = base64.b64decode(result['images'][0])
+        result_np = np.frombuffer(result, np.uint8)
+        result_img = cv2.imdecode(result_np, cv2.IMREAD_UNCHANGED)
+    else:
+        print('server error!')
+
+    
+    final_img = add_waterprint(result_img)
+
+    return final_img
+
+
+
+with gr.Blocks(css = ".output-image, .input-image, .image-preview {height: 400px !important} ") as demo:
+    # gr.Markdown("# Outfit Anyone v0.9")
+    gr.HTML(
+        """
+        <div style="display: flex; justify-content: center; align-items: center; text-align: center;">
+        <a href="https://github.com/HumanAIGC/OutfitAnyone" style="margin-right: 20px; text-decoration: none; display: flex; align-items: center;">
+        </a>
+        <div>
+            <h1 >Outfit Anyone: Ultra-high quality virtual try-on for Any Clothing and Any Person</h1>
+            <h4 >v0.9</h4>
+            <h5 style="margin: 0;">If you like our project, please give us a star  on Github to stay updated with the latest developments.</h5>
+            <div style="display: flex; justify-content: center; align-items: center; text-align: center;>
+                <a href="https://github.com/HumanAIGC/OutfitAnyone"><img src="https://img.shields.io/badge/Arxiv-0000.00000-red"></a>
+                <a href='https://humanaigc.github.io/outfit-anyone/'><img src='https://img.shields.io/badge/Project_Page-OutfitAnyone-green' alt='Project Page'></a>
+                <a href='https://github.com/HumanAIGC/OutfitAnyone'><img src='https://img.shields.io/badge/Github-Repo-blue'></a>
+            </div>
+        </div>
+        </div>
+        """)
+    with gr.Row():
+        with gr.Column():
+            init_image = gr.Image(sources='clipboard', type="filepath", label="model", value=model)
+            example = gr.Examples(inputs=init_image,
+                                  examples_per_page=4,
+                                  examples=[os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Rouyan_0')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Rouyan_2')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Eva_0')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Simon_1')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Eva_1')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Simon_0')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Xuanxuan_0')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Xuanxuan_2')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Yaqi_1')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Yifeng_0')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Yifeng_3')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Rouyan_1')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Yifeng_2')),
+                                            os.path.join(os.path.dirname(__file__), MODEL_MAP.get('AI Model Yaqi_0')),
+                                            ])
+        with gr.Column():
+            gr.HTML(
+                """
+                <div style="display: flex; justify-content: center; align-items: center; text-align: center;">
+                <div>
+                    <h3>Models are fixed and cannot be uploaded or modified; we only support users uploading their own garments.</h3>
+                    <h4 style="margin: 0;">For a one-piece dress or coat, you only need to upload the image to the 'top garment' section and leave the 'lower garment' section empty.</h4>
+                </div>
+                </div>
+                """)
+            with gr.Row():
+                garment_top = gr.Image(sources='upload', type="numpy", label="top garment")
+                example_top = gr.Examples(inputs=garment_top,
+                                          examples_per_page=5,
+                                          examples=[os.path.join(os.path.dirname(__file__), "garments/top222.JPG"),
+                                                    os.path.join(os.path.dirname(__file__), "garments/top5.png"),
+                                                    os.path.join(os.path.dirname(__file__), "garments/top333.png"),
+                                                    os.path.join(os.path.dirname(__file__), "garments/dress1.png"),
+                                                    os.path.join(os.path.dirname(__file__), "garments/dress2.png"),
+                                                            ])
+                garment_down = gr.Image(sources='upload', type="numpy", label="lower garment")
+                example_down = gr.Examples(inputs=garment_down,
+                                           examples_per_page=5,
+                                           examples=[os.path.join(os.path.dirname(__file__), "garments/bottom1.png"),
+                                                     os.path.join(os.path.dirname(__file__), "garments/bottom2.PNG"),
+                                                     os.path.join(os.path.dirname(__file__), "garments/bottom3.JPG"),
+                                                     os.path.join(os.path.dirname(__file__), "garments/bottom4.PNG"),
+                                                     os.path.join(os.path.dirname(__file__), "garments/bottom5.png"),
+                                                            ])
+
+            run_button = gr.Button(value="Run")
+        with gr.Column():
+            gallery = gr.Image()
+
+            run_button.click(fn=get_tryon_result, 
+                             inputs=[
+                                    init_image,
+                                    garment_top,
+                                    garment_down,
+                                    ], 
+                             outputs=[gallery],
+                             concurrency_limit=2)
+        
+
+    # Examples
+    gr.Markdown("## Examples")
+    with gr.Row():
+        reference_image1  = gr.Image(label="model", scale=1, value="examples/basemodel.png")
+        reference_image2  = gr.Image(label="garment", scale=1, value="examples/garment1.jpg")
+        reference_image3  = gr.Image(label="result", scale=1, value="examples/result1.png")
+    gr.Examples(
+        examples=[
+            ["examples/basemodel.png", "examples/garment1.png", "examples/result1.png"],
+            ["examples/basemodel.png", "examples/garment2.png", "examples/result2.png"],
+            ["examples/basemodel.png", "examples/garment3.png", "examples/result3.png"],
+        ],
+        inputs=[reference_image1, reference_image2, reference_image3],
+        label=None,
+    )
+
+if __name__ == "__main__":
+    ip = requests.get('http://ifconfig.me/ip', timeout=1).text.strip()
+    print("ip address alibaba", ip)
+    demo.queue(max_size=10)
+    demo.launch()
+

requirements.txt

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+opencv-python
+IPython
+gradio==3.41.2
+gradio-client==0.5.0