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import os | |
import cv2 | |
import random | |
import gradio as gr | |
from gradio_client import Client, handle_file | |
machine_number = 0 | |
model = os.path.join(os.path.dirname(__file__), "models/eva/Eva_0.png") | |
client = Client("HumanAIGC/OutfitAnyone") | |
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 Infomerica', (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) | |
garment1 = handle_file(garment1) if garment1 else None | |
garment2 = handle_file(garment2) if garment2 else None | |
result = client.predict( | |
handle_file(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") | |
gr.HTML( | |
""" | |
</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( | |
""" | |
""") | |
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=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__": | |
demo.queue(max_size=10) | |
demo.launch(share=True) | |