import os import cv2 import random import gradio as gr from gradio_client import Client machine_number = 0 model = os.path.join(os.path.dirname(__file__), "models/simon_online/Simon_0.png") url = os.environ['OA_IP_ADDRESS'] print("API:", url) client = Client(url) MODEL_MAP = { "AI Model Simon_0": 'models/simon_online/Simon_0.png', "AI Model Xuanxuan_0": 'models/xiaoxuan_online/Xuanxuan_0.png', "AI Model Yifeng_0": 'models/yifeng_online/Yifeng_0.png' } def add_waterprint(img): h, w, _ = img.shape img = cv2.putText(img, 'AI VTON', (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 = "AI Model " + model_name.split("\\")[-1].split(".")[0] # windows _model = "AI Model " + model_name.split("/")[-1].split(".")[0] # linux print("Use Model:", _model) seed = random.randint(0, 1222222222) result = client.predict( model_name, garment1, garment2, api_name="/get_tryon_result", fn_index=seed ) final_img = remove_watermark2(result) return final_img def remove_watermark2(path): img = cv2.imread(path) img_ = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) h, w, _ = img.shape y_start = max(h - 45, 0) y_end = h x_start = max(int(0.3 * w), 0) x_end = w img_[y_start:y_end, x_start:x_end, :] = [255, 255, 255] return img_ with gr.Blocks(css=".output-image, .input-image, .image-preview {height: 400px !important} ") as demo: # gr.Markdown("# Outfit Anyone v0.9") 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 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 Yifeng_0')), ]) with gr.Column(): gr.HTML( """
""") with gr.Row(): garment_top = gr.Image(sources='upload', type="filepath", 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="filepath", 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=4) if __name__ == "__main__": demo.queue(max_size=10) demo.launch(share=False, server_name='0.0.0.0',server_port=7860)