Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
|
@@ -15,52 +15,8 @@ torch.jit.script = lambda f: f
|
|
| 15 |
from model.cloth_masker import AutoMasker, vis_mask
|
| 16 |
from model.pipeline import CatVTONPipeline
|
| 17 |
from utils import init_weight_dtype, resize_and_crop, resize_and_padding
|
| 18 |
-
from PIL import Image
|
| 19 |
|
| 20 |
-
|
| 21 |
-
"""
|
| 22 |
-
Add a watermark to an image
|
| 23 |
-
Args:
|
| 24 |
-
main_image (PIL.Image): The main image
|
| 25 |
-
logo_path (str): Path to the logo image
|
| 26 |
-
position (str): Position of watermark ('bottom-right', 'bottom-left', 'top-right', 'top-left')
|
| 27 |
-
size_percentage (int): Size of watermark relative to main image (in percentage)
|
| 28 |
-
Returns:
|
| 29 |
-
PIL.Image: Image with watermark
|
| 30 |
-
"""
|
| 31 |
-
# Open and resize the logo
|
| 32 |
-
logo = Image.open(logo_path).convert('RGBA')
|
| 33 |
-
|
| 34 |
-
# Calculate the size for the logo
|
| 35 |
-
main_width, main_height = main_image.size
|
| 36 |
-
logo_width = int(main_width * size_percentage / 100)
|
| 37 |
-
logo_height = int(logo.size[1] * (logo_width / logo.size[0]))
|
| 38 |
-
logo = logo.resize((logo_width, logo_height), Image.Resampling.LANCZOS)
|
| 39 |
-
|
| 40 |
-
# Convert main image to RGBA if it isn't already
|
| 41 |
-
if main_image.mode != 'RGBA':
|
| 42 |
-
main_image = main_image.convert('RGBA')
|
| 43 |
-
|
| 44 |
-
# Create a new blank image with the same size as main image
|
| 45 |
-
watermarked = Image.new('RGBA', main_image.size, (0, 0, 0, 0))
|
| 46 |
-
watermarked.paste(main_image, (0, 0))
|
| 47 |
-
|
| 48 |
-
# Calculate position
|
| 49 |
-
if position == 'bottom-right':
|
| 50 |
-
position = (main_width - logo_width - 10, main_height - logo_height - 10)
|
| 51 |
-
elif position == 'bottom-left':
|
| 52 |
-
position = (10, main_height - logo_height - 10)
|
| 53 |
-
elif position == 'top-right':
|
| 54 |
-
position = (main_width - logo_width - 10, 10)
|
| 55 |
-
elif position == 'top-left':
|
| 56 |
-
position = (10, 10)
|
| 57 |
-
|
| 58 |
-
# Paste the logo
|
| 59 |
-
watermarked.paste(logo, position, logo)
|
| 60 |
-
|
| 61 |
-
# Convert back to RGB
|
| 62 |
-
return watermarked.convert('RGB')
|
| 63 |
-
|
| 64 |
def parse_args():
|
| 65 |
parser = argparse.ArgumentParser(description="Simple example of a training script.")
|
| 66 |
parser.add_argument(
|
|
@@ -230,9 +186,8 @@ def submit_function(
|
|
| 230 |
masked_person = vis_mask(person_image, mask)
|
| 231 |
save_result_image = image_grid([person_image, masked_person, cloth_image, result_image], 1, 4)
|
| 232 |
save_result_image.save(result_save_path)
|
| 233 |
-
final_image = None
|
| 234 |
if show_type == "result only":
|
| 235 |
-
|
| 236 |
else:
|
| 237 |
width, height = person_image.size
|
| 238 |
if show_type == "input & result":
|
|
@@ -245,11 +200,7 @@ def submit_function(
|
|
| 245 |
new_result_image = Image.new("RGB", (width + condition_width + 5, height))
|
| 246 |
new_result_image.paste(conditions, (0, 0))
|
| 247 |
new_result_image.paste(result_image, (condition_width + 5, 0))
|
| 248 |
-
|
| 249 |
-
|
| 250 |
-
# Add watermark
|
| 251 |
-
watermarked_image = add_watermark(final_image, 'logo.png', 'bottom-right', 20)
|
| 252 |
-
return watermarked_image
|
| 253 |
|
| 254 |
|
| 255 |
def person_example_fn(image_path):
|
|
@@ -286,109 +237,12 @@ HEADER = """
|
|
| 286 |
· Thanks to <a href="https://huggingface.co/zero-gpu-explorers">ZeroGPU</a> for providing A100 for our <a href="https://huggingface.co/spaces/zhengchong/CatVTON">HuggingFace Space</a>. <br>
|
| 287 |
· SafetyChecker is set to filter NSFW content, but it may block normal results too. Please adjust the <span>`seed`</span> for normal outcomes.<br>
|
| 288 |
"""
|
| 289 |
-
def app_gradio():
|
| 290 |
-
custom_css = """
|
| 291 |
-
@media (max-width: 768px) {
|
| 292 |
-
.gr-column {
|
| 293 |
-
width: 100% !important;
|
| 294 |
-
padding: 0.5rem;
|
| 295 |
-
}
|
| 296 |
-
.gr-row {
|
| 297 |
-
flex-direction: column !important;
|
| 298 |
-
}
|
| 299 |
-
.container {
|
| 300 |
-
margin: 0.5rem !important;
|
| 301 |
-
padding: 1rem !important;
|
| 302 |
-
}
|
| 303 |
-
button.primary-btn {
|
| 304 |
-
padding: 0.8rem 1rem;
|
| 305 |
-
font-size: 1rem;
|
| 306 |
-
}
|
| 307 |
-
}
|
| 308 |
|
| 309 |
-
|
| 310 |
-
|
| 311 |
-
|
| 312 |
-
padding: 0.5rem;
|
| 313 |
-
}
|
| 314 |
-
button.primary-btn {
|
| 315 |
-
font-size: 0.8rem;
|
| 316 |
-
padding: 0.6rem 0.8rem;
|
| 317 |
-
}
|
| 318 |
-
.gr-form {
|
| 319 |
-
margin: 0.5rem;
|
| 320 |
-
}
|
| 321 |
-
}
|
| 322 |
-
button.primary-btn {
|
| 323 |
-
background: linear-gradient(135deg, #2541b2 0%, #1a237e 100%);
|
| 324 |
-
transition: all 0.3s ease;
|
| 325 |
-
border: none;
|
| 326 |
-
box-shadow: 0 2px 4px rgba(0,0,0,0.1);
|
| 327 |
-
color: white !important;
|
| 328 |
-
}
|
| 329 |
-
button.primary-btn:hover {
|
| 330 |
-
transform: translateY(-2px);
|
| 331 |
-
box-shadow: 0 4px 8px rgba(0,0,0,0.2);
|
| 332 |
-
}
|
| 333 |
-
.gr-button {
|
| 334 |
-
background: linear-gradient(135deg, #2541b2 0%, #1a237e 100%);
|
| 335 |
-
color: white !important;
|
| 336 |
-
border: none;
|
| 337 |
-
transition: all 0.3s ease;
|
| 338 |
-
}
|
| 339 |
-
.gr-button:hover {
|
| 340 |
-
opacity: 0.9;
|
| 341 |
-
transform: translateY(-2px);
|
| 342 |
-
}
|
| 343 |
-
body {
|
| 344 |
-
background: linear-gradient(135deg, #f8f9fa 0%, #e8eaf6 100%);
|
| 345 |
-
}
|
| 346 |
-
.container {
|
| 347 |
-
border-radius: 12px;
|
| 348 |
-
box-shadow: 0 4px 6px rgba(0,0,0,0.1);
|
| 349 |
-
}
|
| 350 |
-
.gr-form {
|
| 351 |
-
border-radius: 8px;
|
| 352 |
-
background: white;
|
| 353 |
-
box-shadow: 0 2px 4px rgba(0,0,0,0.05);
|
| 354 |
-
}
|
| 355 |
-
.gr-radio-group {
|
| 356 |
-
background: white;
|
| 357 |
-
padding: 12px;
|
| 358 |
-
border-radius: 8px;
|
| 359 |
-
}
|
| 360 |
-
.gr-accordion {
|
| 361 |
-
border-radius: 8px;
|
| 362 |
-
overflow: hidden;
|
| 363 |
-
}
|
| 364 |
-
/* Force white text in buttons */
|
| 365 |
-
button.primary-btn span {
|
| 366 |
-
color: white !important;
|
| 367 |
-
}
|
| 368 |
-
.gr-button span {
|
| 369 |
-
color: white !important;
|
| 370 |
-
}
|
| 371 |
-
"""
|
| 372 |
-
|
| 373 |
-
with gr.Blocks(title="Deradh Virtual Try-On", css=custom_css) as demo:
|
| 374 |
-
gr.Markdown(
|
| 375 |
-
"""
|
| 376 |
-
<div style="text-align: center; background: linear-gradient(135deg, #2541b2 0%, #1a237e 100%); padding: 2.5rem; color: white; border-radius: 0 0 20px 20px; margin-bottom: 2rem; box-shadow: 0 4px 6px rgba(0,0,0,0.1);">
|
| 377 |
-
<h1 style="color: white; font-size: 2.5rem; font-weight: 600; margin-bottom: 1rem;">Deradh Virtual Try-On Experience</h1>
|
| 378 |
-
<div style="margin: 1rem 0;">
|
| 379 |
-
<a href="https://deradh.com" style="color: white; text-decoration: none; padding: 0.5rem 1rem; border: 2px solid white; border-radius: 25px; transition: all 0.3s ease;">
|
| 380 |
-
Visit Deradh.com
|
| 381 |
-
</a>
|
| 382 |
-
</div>
|
| 383 |
-
</div>
|
| 384 |
-
<div style="text-align: center; padding: 1rem; color: #6ed7fe; font-size: 1.2rem; font-weight: 500; margin-bottom: 2rem;">
|
| 385 |
-
Experience the future of fashion with our AI-powered virtual try-on technology, Every user will get 2-3 Free trials per day
|
| 386 |
-
</div>
|
| 387 |
-
"""
|
| 388 |
-
)
|
| 389 |
-
|
| 390 |
with gr.Row():
|
| 391 |
-
with gr.Column(scale=1, min_width=
|
| 392 |
with gr.Row():
|
| 393 |
image_path = gr.Image(
|
| 394 |
type="filepath",
|
|
@@ -396,98 +250,55 @@ def app_gradio():
|
|
| 396 |
visible=False,
|
| 397 |
)
|
| 398 |
person_image = gr.ImageEditor(
|
| 399 |
-
interactive=True,
|
| 400 |
-
label="Upload Your Photo",
|
| 401 |
-
type="filepath"
|
| 402 |
)
|
| 403 |
|
| 404 |
with gr.Row():
|
| 405 |
-
with gr.Column(scale=1, min_width=
|
| 406 |
cloth_image = gr.Image(
|
| 407 |
-
interactive=True,
|
| 408 |
-
label="Select Garment",
|
| 409 |
-
type="filepath"
|
| 410 |
)
|
| 411 |
-
with gr.Column(scale=1, min_width=
|
| 412 |
gr.Markdown(
|
| 413 |
-
''
|
| 414 |
-
<div style="color: white; background: linear-gradient(135deg, #2541b2 0%, #1a237e 100%);
|
| 415 |
-
padding: 1.2rem; border-radius: 8px; box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
|
| 416 |
-
<h3 style="margin: 0 0 0.8rem 0; color: white;">For Best Performance:</h3>
|
| 417 |
-
<ol style="margin: 0; padding-left: 1.2rem;">
|
| 418 |
-
<li>Stand in front of a plain, contrasting background.</li>
|
| 419 |
-
<li>Ensure your entire body is visible in the frame.</li>
|
| 420 |
-
<li>Upload the highest quality image possible.</li>
|
| 421 |
-
<li>Avoid cluttered or low-light environments.</li>
|
| 422 |
-
<li>Wear minimal accessories for accurate results.</li>
|
| 423 |
-
</ol>
|
| 424 |
-
</div>
|
| 425 |
-
'''
|
| 426 |
)
|
| 427 |
cloth_type = gr.Radio(
|
| 428 |
-
label="
|
| 429 |
choices=["upper", "lower", "overall"],
|
| 430 |
-
|
| 431 |
)
|
| 432 |
|
| 433 |
-
|
|
|
|
| 434 |
gr.Markdown(
|
| 435 |
-
''
|
| 436 |
-
<div style="text-align: center; color: #1a237e; font-weight: 500; margin: 1rem 0;
|
| 437 |
-
padding: 0.8rem; background: white; border-radius: 8px; box-shadow: 0 2px 4px rgba(0,0,0,0.05);">
|
| 438 |
-
Important: Please wait after clicking Try On - Processing may take a moment
|
| 439 |
-
</div>
|
| 440 |
-
'''
|
| 441 |
)
|
| 442 |
|
| 443 |
-
|
| 444 |
-
|
| 445 |
-
|
| 446 |
-
|
| 447 |
-
# box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
|
| 448 |
-
# <h3 style="margin: 0 0 0.8rem 0; color: white;">Advanced Settings:</h3>
|
| 449 |
-
# <ul style="margin: 0; padding-left: 1.2rem;">
|
| 450 |
-
# <li>Increase Steps for higher quality</li>
|
| 451 |
-
# <li>Adjust CFG for color intensity</li>
|
| 452 |
-
# <li>Change Seed for different variations</li>
|
| 453 |
-
# </ul>
|
| 454 |
-
# </div>
|
| 455 |
-
# '''
|
| 456 |
-
# )
|
| 457 |
-
with gr.Accordion("Developer Options", open=False):
|
| 458 |
num_inference_steps = gr.Slider(
|
| 459 |
-
label="
|
| 460 |
-
minimum=10,
|
| 461 |
-
maximum=100,
|
| 462 |
-
step=5,
|
| 463 |
-
value=50
|
| 464 |
)
|
|
|
|
| 465 |
guidance_scale = gr.Slider(
|
| 466 |
-
label="
|
| 467 |
-
minimum=0.0,
|
| 468 |
-
maximum=7.5,
|
| 469 |
-
step=0.5,
|
| 470 |
-
value=2.5
|
| 471 |
)
|
|
|
|
| 472 |
seed = gr.Slider(
|
| 473 |
-
label="
|
| 474 |
-
minimum=-1,
|
| 475 |
-
maximum=10000,
|
| 476 |
-
step=1,
|
| 477 |
-
value=42
|
| 478 |
)
|
| 479 |
show_type = gr.Radio(
|
| 480 |
-
label="
|
| 481 |
choices=["result only", "input & result", "input & mask & result"],
|
| 482 |
-
value="input & result",
|
| 483 |
)
|
| 484 |
|
| 485 |
-
with gr.Column(scale=2, min_width=
|
| 486 |
-
result_image = gr.Image(
|
| 487 |
-
interactive=False,
|
| 488 |
-
label="Virtual Try-On Result"
|
| 489 |
-
)
|
| 490 |
with gr.Row():
|
|
|
|
| 491 |
root_path = "resource/demo/example"
|
| 492 |
with gr.Column():
|
| 493 |
men_exm = gr.Examples(
|
|
@@ -497,7 +308,7 @@ def app_gradio():
|
|
| 497 |
],
|
| 498 |
examples_per_page=4,
|
| 499 |
inputs=image_path,
|
| 500 |
-
label="
|
| 501 |
)
|
| 502 |
women_exm = gr.Examples(
|
| 503 |
examples=[
|
|
@@ -506,7 +317,10 @@ def app_gradio():
|
|
| 506 |
],
|
| 507 |
examples_per_page=4,
|
| 508 |
inputs=image_path,
|
| 509 |
-
label="
|
|
|
|
|
|
|
|
|
|
| 510 |
)
|
| 511 |
with gr.Column():
|
| 512 |
condition_upper_exm = gr.Examples(
|
|
@@ -516,7 +330,7 @@ def app_gradio():
|
|
| 516 |
],
|
| 517 |
examples_per_page=4,
|
| 518 |
inputs=cloth_image,
|
| 519 |
-
label="
|
| 520 |
)
|
| 521 |
condition_overall_exm = gr.Examples(
|
| 522 |
examples=[
|
|
@@ -525,7 +339,7 @@ def app_gradio():
|
|
| 525 |
],
|
| 526 |
examples_per_page=4,
|
| 527 |
inputs=cloth_image,
|
| 528 |
-
label="
|
| 529 |
)
|
| 530 |
condition_person_exm = gr.Examples(
|
| 531 |
examples=[
|
|
@@ -534,13 +348,14 @@ def app_gradio():
|
|
| 534 |
],
|
| 535 |
examples_per_page=4,
|
| 536 |
inputs=cloth_image,
|
| 537 |
-
label="
|
|
|
|
|
|
|
|
|
|
| 538 |
)
|
| 539 |
|
| 540 |
image_path.change(
|
| 541 |
-
person_example_fn,
|
| 542 |
-
inputs=image_path,
|
| 543 |
-
outputs=person_image
|
| 544 |
)
|
| 545 |
|
| 546 |
submit.click(
|
|
@@ -556,8 +371,6 @@ def app_gradio():
|
|
| 556 |
],
|
| 557 |
result_image,
|
| 558 |
)
|
| 559 |
-
|
| 560 |
-
|
| 561 |
demo.queue().launch(share=True, show_error=True)
|
| 562 |
|
| 563 |
|
|
|
|
| 15 |
from model.cloth_masker import AutoMasker, vis_mask
|
| 16 |
from model.pipeline import CatVTONPipeline
|
| 17 |
from utils import init_weight_dtype, resize_and_crop, resize_and_padding
|
|
|
|
| 18 |
|
| 19 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 20 |
def parse_args():
|
| 21 |
parser = argparse.ArgumentParser(description="Simple example of a training script.")
|
| 22 |
parser.add_argument(
|
|
|
|
| 186 |
masked_person = vis_mask(person_image, mask)
|
| 187 |
save_result_image = image_grid([person_image, masked_person, cloth_image, result_image], 1, 4)
|
| 188 |
save_result_image.save(result_save_path)
|
|
|
|
| 189 |
if show_type == "result only":
|
| 190 |
+
return result_image
|
| 191 |
else:
|
| 192 |
width, height = person_image.size
|
| 193 |
if show_type == "input & result":
|
|
|
|
| 200 |
new_result_image = Image.new("RGB", (width + condition_width + 5, height))
|
| 201 |
new_result_image.paste(conditions, (0, 0))
|
| 202 |
new_result_image.paste(result_image, (condition_width + 5, 0))
|
| 203 |
+
return new_result_image
|
|
|
|
|
|
|
|
|
|
|
|
|
| 204 |
|
| 205 |
|
| 206 |
def person_example_fn(image_path):
|
|
|
|
| 237 |
· Thanks to <a href="https://huggingface.co/zero-gpu-explorers">ZeroGPU</a> for providing A100 for our <a href="https://huggingface.co/spaces/zhengchong/CatVTON">HuggingFace Space</a>. <br>
|
| 238 |
· SafetyChecker is set to filter NSFW content, but it may block normal results too. Please adjust the <span>`seed`</span> for normal outcomes.<br>
|
| 239 |
"""
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 240 |
|
| 241 |
+
def app_gradio():
|
| 242 |
+
with gr.Blocks(title="CatVTON") as demo:
|
| 243 |
+
gr.Markdown(HEADER)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 244 |
with gr.Row():
|
| 245 |
+
with gr.Column(scale=1, min_width=350):
|
| 246 |
with gr.Row():
|
| 247 |
image_path = gr.Image(
|
| 248 |
type="filepath",
|
|
|
|
| 250 |
visible=False,
|
| 251 |
)
|
| 252 |
person_image = gr.ImageEditor(
|
| 253 |
+
interactive=True, label="Person Image", type="filepath"
|
|
|
|
|
|
|
| 254 |
)
|
| 255 |
|
| 256 |
with gr.Row():
|
| 257 |
+
with gr.Column(scale=1, min_width=230):
|
| 258 |
cloth_image = gr.Image(
|
| 259 |
+
interactive=True, label="Condition Image", type="filepath"
|
|
|
|
|
|
|
| 260 |
)
|
| 261 |
+
with gr.Column(scale=1, min_width=120):
|
| 262 |
gr.Markdown(
|
| 263 |
+
'<span style="color: #808080; font-size: small;">Two ways to provide Mask:<br>1. Upload the person image and use the `🖌️` above to draw the Mask (higher priority)<br>2. Select the `Try-On Cloth Type` to generate automatically </span>'
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 264 |
)
|
| 265 |
cloth_type = gr.Radio(
|
| 266 |
+
label="Try-On Cloth Type",
|
| 267 |
choices=["upper", "lower", "overall"],
|
| 268 |
+
value="upper",
|
| 269 |
)
|
| 270 |
|
| 271 |
+
|
| 272 |
+
submit = gr.Button("Submit")
|
| 273 |
gr.Markdown(
|
| 274 |
+
'<center><span style="color: #FF0000">!!! Click only Once, Wait for Delay !!!</span></center>'
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 275 |
)
|
| 276 |
|
| 277 |
+
gr.Markdown(
|
| 278 |
+
'<span style="color: #808080; font-size: small;">Advanced options can adjust details:<br>1. `Inference Step` may enhance details;<br>2. `CFG` is highly correlated with saturation;<br>3. `Random seed` may improve pseudo-shadow.</span>'
|
| 279 |
+
)
|
| 280 |
+
with gr.Accordion("Advanced Options", open=False):
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 281 |
num_inference_steps = gr.Slider(
|
| 282 |
+
label="Inference Step", minimum=10, maximum=100, step=5, value=50
|
|
|
|
|
|
|
|
|
|
|
|
|
| 283 |
)
|
| 284 |
+
# Guidence Scale
|
| 285 |
guidance_scale = gr.Slider(
|
| 286 |
+
label="CFG Strenth", minimum=0.0, maximum=7.5, step=0.5, value=2.5
|
|
|
|
|
|
|
|
|
|
|
|
|
| 287 |
)
|
| 288 |
+
# Random Seed
|
| 289 |
seed = gr.Slider(
|
| 290 |
+
label="Seed", minimum=-1, maximum=10000, step=1, value=42
|
|
|
|
|
|
|
|
|
|
|
|
|
| 291 |
)
|
| 292 |
show_type = gr.Radio(
|
| 293 |
+
label="Show Type",
|
| 294 |
choices=["result only", "input & result", "input & mask & result"],
|
| 295 |
+
value="input & mask & result",
|
| 296 |
)
|
| 297 |
|
| 298 |
+
with gr.Column(scale=2, min_width=500):
|
| 299 |
+
result_image = gr.Image(interactive=False, label="Result")
|
|
|
|
|
|
|
|
|
|
| 300 |
with gr.Row():
|
| 301 |
+
# Photo Examples
|
| 302 |
root_path = "resource/demo/example"
|
| 303 |
with gr.Column():
|
| 304 |
men_exm = gr.Examples(
|
|
|
|
| 308 |
],
|
| 309 |
examples_per_page=4,
|
| 310 |
inputs=image_path,
|
| 311 |
+
label="Person Examples ①",
|
| 312 |
)
|
| 313 |
women_exm = gr.Examples(
|
| 314 |
examples=[
|
|
|
|
| 317 |
],
|
| 318 |
examples_per_page=4,
|
| 319 |
inputs=image_path,
|
| 320 |
+
label="Person Examples ②",
|
| 321 |
+
)
|
| 322 |
+
gr.Markdown(
|
| 323 |
+
'<span style="color: #808080; font-size: small;">*Person examples come from the demos of <a href="https://huggingface.co/spaces/levihsu/OOTDiffusion">OOTDiffusion</a> and <a href="https://www.outfitanyone.org">OutfitAnyone</a>. </span>'
|
| 324 |
)
|
| 325 |
with gr.Column():
|
| 326 |
condition_upper_exm = gr.Examples(
|
|
|
|
| 330 |
],
|
| 331 |
examples_per_page=4,
|
| 332 |
inputs=cloth_image,
|
| 333 |
+
label="Condition Upper Examples",
|
| 334 |
)
|
| 335 |
condition_overall_exm = gr.Examples(
|
| 336 |
examples=[
|
|
|
|
| 339 |
],
|
| 340 |
examples_per_page=4,
|
| 341 |
inputs=cloth_image,
|
| 342 |
+
label="Condition Overall Examples",
|
| 343 |
)
|
| 344 |
condition_person_exm = gr.Examples(
|
| 345 |
examples=[
|
|
|
|
| 348 |
],
|
| 349 |
examples_per_page=4,
|
| 350 |
inputs=cloth_image,
|
| 351 |
+
label="Condition Reference Person Examples",
|
| 352 |
+
)
|
| 353 |
+
gr.Markdown(
|
| 354 |
+
'<span style="color: #808080; font-size: small;">*Condition examples come from the Internet. </span>'
|
| 355 |
)
|
| 356 |
|
| 357 |
image_path.change(
|
| 358 |
+
person_example_fn, inputs=image_path, outputs=person_image
|
|
|
|
|
|
|
| 359 |
)
|
| 360 |
|
| 361 |
submit.click(
|
|
|
|
| 371 |
],
|
| 372 |
result_image,
|
| 373 |
)
|
|
|
|
|
|
|
| 374 |
demo.queue().launch(share=True, show_error=True)
|
| 375 |
|
| 376 |
|