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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 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 = "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 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>
</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="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=False, server_name='127.0.0.1', server_port=6006) |