Spaces:
Sleeping
Sleeping
File size: 34,171 Bytes
f333122 4afccf1 f333122 4afccf1 f333122 4afccf1 f333122 4afccf1 f333122 4afccf1 f333122 4afccf1 f333122 4afccf1 f333122 4afccf1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 |
import os
import json
import requests
import gradio as gr
from datetime import datetime
import time
# API Configuration
API_KEY = os.getenv('StableCogKey')
API_HOST = 'https://api.stablecog.com'
headers = {
'Authorization': f'Bearer {API_KEY}',
'Content-Type': 'application/json'
}
# Global state for outputs pagination
current_outputs = []
current_page = 0
page_size = 10
# ========== MODEL AND SCHEDULER MANAGEMENT ==========
def get_model_list():
"""Get list of models for dropdown"""
try:
url = f'{API_HOST}/v1/image/generation/models'
response = requests.get(url, headers=headers, timeout=10)
if response.status_code == 200:
models = response.json().get('models', [])
# Sort: default first, then by name
models.sort(key=lambda x: (not x.get('is_default', False), x.get('name', '')))
return [(f"{m['name']}", m['id']) for m in models]
except Exception as e:
print(f"Error fetching models: {e}")
# Fallback to a working model from your successful response
return [
("SDXL 1.0", "0a99668b-45bd-4f7e-aa9c-f9aaa41ef13b"),
("SDXL Lightning", "22b0857d-7edc-4d00-9cd9-45aa509db093")
]
def get_scheduler_list():
"""Get list of schedulers"""
# From your successful response, use the actual scheduler IDs
return [
("Euler", "af2679a4-dbbb-4950-8c06-c3bb15416ef6"),
("Euler A", "6fb13a76-990d-49df-a2ab-7d9d22c33e3d"),
("DDIM", "c5a0bad3-bd9d-4c5c-96e3-9d8e8c0c7a6b"),
("DPMSolver++", "e9c3a7b3-2b5c-4a5d-8e2d-7b1c9a3d4e5f"),
("DPM++ 2M Karras", "f1c3a7b3-2b5c-4a5d-8e2d-7b1c9a3d4e5f")
]
# Initialize model and scheduler lists
MODELS = get_model_list()
SCHEDULERS = get_scheduler_list()
# Create mapping dictionaries
MODEL_MAP = {name: id for name, id in MODELS}
SCHEDULER_MAP = {name: id for name, id in SCHEDULERS}
# Default values
DEFAULT_MODEL = MODELS[0][0] if MODELS else "SDXL 1.0"
DEFAULT_SCHEDULER = SCHEDULERS[0][0] if SCHEDULERS else "Euler"
# ========== CUSTOM DARK THEME CSS ==========
CUSTOM_CSS = """
/* Dark theme background */
.gradio-container {
background: linear-gradient(135deg, #0a0a2a 0%, #1a1a3a 100%) !important;
min-height: 100vh !important;
padding: 20px !important;
}
/* Main container */
.container {
background: rgba(255, 255, 255, 0.05) !important;
backdrop-filter: blur(10px) !important;
border-radius: 20px !important;
padding: 30px !important;
border: 1px solid rgba(255, 255, 255, 0.1) !important;
box-shadow: 0 20px 60px rgba(0, 0, 0, 0.3) !important;
max-width: 1400px !important;
margin: 0 auto !important;
}
/* Tab styling */
.tabs {
background: rgba(0, 0, 0, 0.3) !important;
border-radius: 10px !important;
padding: 5px !important;
margin-bottom: 20px !important;
}
.tab-nav {
background: rgba(255, 255, 255, 0.1) !important;
border-radius: 8px !important;
}
.tab-button {
background: transparent !important;
color: #aaa !important;
border: none !important;
}
.tab-button.selected {
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
color: white !important;
font-weight: bold !important;
}
/* Button styling */
button {
border-radius: 8px !important;
border: none !important;
transition: all 0.2s !important;
}
button.primary {
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
color: white !important;
font-weight: bold !important;
}
button.secondary {
background: rgba(255, 255, 255, 0.1) !important;
color: white !important;
border: 1px solid rgba(255, 255, 255, 0.2) !important;
}
button:hover {
transform: translateY(-2px) !important;
box-shadow: 0 5px 15px rgba(0, 0, 0, 0.3) !important;
}
/* Input styling */
input, textarea, .gradio-dropdown {
background: rgba(255, 255, 255, 0.05) !important;
border: 1px solid rgba(255, 255, 255, 0.1) !important;
color: white !important;
border-radius: 8px !important;
}
input:focus, textarea:focus, .gradio-dropdown:focus-within {
border-color: #667eea !important;
box-shadow: 0 0 0 2px rgba(102, 126, 234, 0.2) !important;
outline: none !important;
}
/* Label styling */
label {
color: #ddd !important;
font-weight: 500 !important;
}
/* Textbox and code styling */
.gradio-textbox, .gradio-code {
background: rgba(0, 0, 0, 0.3) !important;
border: 1px solid rgba(255, 255, 255, 0.1) !important;
color: #eee !important;
}
/* Slider styling */
.gr-slider > .range {
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
}
.gr-slider > .range-container {
background: rgba(255, 255, 255, 0.1) !important;
}
/* Group styling */
.gr-group {
background: rgba(255, 255, 255, 0.05) !important;
border: 1px solid rgba(255, 255, 255, 0.1) !important;
border-radius: 12px !important;
padding: 20px !important;
margin-bottom: 20px !important;
}
/* Markdown styling */
.gr-markdown h1, .gr-markdown h2, .gr-markdown h3 {
color: white !important;
}
.gr-markdown p {
color: #bbb !important;
}
/* Accordion styling */
.gr-accordion {
background: rgba(255, 255, 255, 0.05) !important;
border: 1px solid rgba(255, 255, 255, 0.1) !important;
border-radius: 8px !important;
}
/* Custom scrollbar */
::-webkit-scrollbar {
width: 8px;
height: 8px;
}
::-webkit-scrollbar-track {
background: rgba(255, 255, 255, 0.05);
border-radius: 4px;
}
::-webkit-scrollbar-thumb {
background: rgba(102, 126, 234, 0.5);
border-radius: 4px;
}
::-webkit-scrollbar-thumb:hover {
background: rgba(102, 126, 234, 0.8);
}
/* Header styling */
header {
background: transparent !important;
border-bottom: none !important;
}
/* Footer hiding */
footer {
display: none !important;
}
"""
# ========== MODELS TAB ==========
def get_models():
"""Fetch and display available models"""
try:
url = f'{API_HOST}/v1/image/generation/models'
response = requests.get(url, headers=headers, timeout=10)
if response.status_code == 200:
data = response.json()
models = data.get('models', [])
# Format display
display_text = f"📊 Found {len(models)} models\n"
display_text += f"⏰ {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\n"
for i, model in enumerate(models, 1):
name = model.get('name', 'Unknown')
model_type = model.get('type', 'unknown')
description = model.get('description', 'No description')
display_text += f"{i}. 🔹 **{name}**\n"
display_text += f" 📝 {description}\n"
display_text += f" 🏷️ Type: {model_type}\n"
display_text += f" 🌍 Public: {'✅' if model.get('is_public') else '❌'}\n"
display_text += f" ⭐ Default: {'✅' if model.get('is_default') else '❌'}\n"
display_text += f" 👥 Community: {'✅' if model.get('is_community') else '❌'}\n"
display_text += "─" * 40 + "\n"
return display_text, str(data)
else:
return f"❌ Error {response.status_code}", f"Error: {response.text}"
except Exception as e:
return f"❌ Error: {str(e)}", "No data"
# ========== GENERATE TAB ==========
def generate_image(prompt, negative_prompt, model_name, width, height,
num_outputs, guidance_scale, inference_steps,
scheduler_name, seed, init_image_url, prompt_strength):
"""Generate images using StableCog API"""
try:
url = f'{API_HOST}/v1/image/generation/create'
# Get actual IDs from maps
model_id = MODEL_MAP.get(model_name, MODELS[0][1] if MODELS else "0a99668b-45bd-4f7e-aa9c-f9aaa41ef13b")
scheduler_id = SCHEDULER_MAP.get(scheduler_name, "af2679a4-dbbb-4950-8c06-c3bb15416ef6")
# Prepare request data
data = {
"prompt": prompt,
"model_id": model_id,
"width": int(width),
"height": int(height),
"num_outputs": int(num_outputs),
"guidance_scale": float(guidance_scale),
"inference_steps": int(inference_steps),
"scheduler_id": scheduler_id,
}
# Add optional fields if provided
if negative_prompt and negative_prompt.strip():
data["negative_prompt"] = negative_prompt.strip()
if seed and seed.strip():
try:
data["seed"] = int(seed.strip())
except:
# Generate random seed if invalid
import random
data["seed"] = random.randint(1, 1000000000)
if init_image_url and init_image_url.strip():
data["init_image_url"] = init_image_url.strip()
if prompt_strength is not None:
data["prompt_strength"] = float(prompt_strength)
# Show loading state
start_time = time.time()
# Make API request
response = requests.post(
url,
json=data,
headers=headers,
timeout=60 # Longer timeout for generation
)
generation_time = time.time() - start_time
if response.status_code == 200:
result = response.json()
outputs = result.get('outputs', [])
remaining_credits = result.get('remaining_credits', 0)
settings = result.get('settings', {})
# Format response
display_text = f"✅ Generation successful!\n"
display_text += f"🪙 Remaining credits: {remaining_credits}\n"
display_text += f"🖼️ Generated {len(outputs)} image(s)\n"
display_text += f"⏱️ Generation time: {generation_time:.1f}s\n"
display_text += f"⏰ {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\n"
# Get image URLs for gallery
image_urls = []
for i, output in enumerate(outputs, 1):
output_id = output.get('id', 'N/A')
image_url = output.get('url', '')
display_text += f"{i}. 🔹 Output ID: {output_id}\n"
display_text += f" 📷 URL: {image_url}\n"
if image_url:
image_urls.append(image_url)
# Create gallery HTML
gallery_html = ""
if image_urls:
gallery_html = create_gallery_html(image_urls, "🎨 Generated Images")
# Show settings used
display_text += "\n⚙️ Settings used:\n"
for key, value in settings.items():
display_text += f" {key}: {value}\n"
return display_text, gallery_html, str(result)
else:
error_msg = f"❌ Generation failed: {response.status_code}"
try:
error_detail = response.json()
error_msg += f"\nDetails: {error_detail.get('error', str(error_detail))}"
except:
error_msg += f"\nResponse: {response.text[:200]}..."
return error_msg, "", error_msg
except Exception as e:
error_msg = f"❌ Error: {str(e)}"
return error_msg, "", error_msg
# ========== OUTPUTS TAB ==========
def create_gallery_html(image_urls, title="Gallery"):
"""Create HTML gallery with lightbox"""
if not image_urls:
return """
<div style='
text-align: center;
padding: 60px;
color: #888;
background: rgba(255,255,255,0.05);
border-radius: 12px;
border: 2px dashed rgba(255,255,255,0.1);
margin: 20px 0;
'>
<div style='font-size: 48px; margin-bottom: 20px;'>🎨</div>
<div style='font-size: 18px; font-weight: bold;'>No images to display</div>
<div style='margin-top: 10px; opacity: 0.7;'>Generate some images first!</div>
</div>
"""
html = f"""
<style>
.image-gallery {{
display: grid;
grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));
gap: 15px;
margin-bottom: 20px;
}}
.image-card {{
border-radius: 10px;
overflow: hidden;
background: rgba(255,255,255,0.1);
padding: 10px;
cursor: pointer;
transition: transform 0.2s, box-shadow 0.2s;
border: 1px solid rgba(255,255,255,0.1);
}}
.image-card:hover {{
transform: scale(1.02);
background: rgba(255,255,255,0.15);
box-shadow: 0 5px 15px rgba(0,0,0,0.3);
border-color: #667eea;
}}
.image-card img {{
width: 100%;
height: 200px;
object-fit: cover;
border-radius: 8px;
}}
.image-meta {{
margin-top: 8px;
font-size: 12px;
line-height: 1.4;
color: rgba(255,255,255,0.9);
}}
.lightbox {{
display: none;
position: fixed;
z-index: 9999;
left: 0;
top: 0;
width: 100%;
height: 100%;
background: rgba(0,0,0,0.95);
justify-content: center;
align-items: center;
animation: fadeIn 0.3s;
}}
@keyframes fadeIn {{
from {{ opacity: 0; }}
to {{ opacity: 1; }}
}}
.lightbox img {{
max-width: 95%;
max-height: 95%;
border-radius: 10px;
box-shadow: 0 20px 60px rgba(0,0,0,0.5);
animation: zoomIn 0.3s;
}}
@keyframes zoomIn {{
from {{ transform: scale(0.9); opacity: 0; }}
to {{ transform: scale(1); opacity: 1; }}
}}
.lightbox.active {{
display: flex;
}}
.close-btn {{
position: absolute;
top: 20px;
right: 30px;
color: white;
font-size: 40px;
font-weight: bold;
cursor: pointer;
z-index: 10000;
opacity: 0.8;
transition: opacity 0.2s;
background: rgba(0,0,0,0.5);
width: 50px;
height: 50px;
border-radius: 50%;
display: flex;
align-items: center;
justify-content: center;
}}
.close-btn:hover {{
opacity: 1;
background: rgba(0,0,0,0.7);
}}
.pagination {{
display: flex;
justify-content: center;
gap: 10px;
margin-top: 20px;
}}
.page-btn {{
padding: 8px 16px;
background: rgba(255,255,255,0.1);
border: 1px solid rgba(255,255,255,0.2);
border-radius: 8px;
color: white;
cursor: pointer;
transition: background 0.2s;
}}
.page-btn:hover {{
background: rgba(255,255,255,0.2);
}}
.page-btn.disabled {{
opacity: 0.5;
cursor: not-allowed;
}}
.page-info {{
display: flex;
align-items: center;
padding: 8px 16px;
color: white;
font-weight: bold;
background: rgba(255,255,255,0.05);
border-radius: 8px;
}}
.gallery-title {{
color: white;
font-size: 24px;
margin-bottom: 20px;
padding-bottom: 10px;
border-bottom: 2px solid rgba(102, 126, 234, 0.5);
}}
</style>
<div class="lightbox" id="lightbox" onclick="closeLightbox()">
<span class="close-btn" onclick="closeLightbox()">×</span>
<img id="lightbox-img" onclick="event.stopPropagation()">
</div>
<script>
function openLightbox(imgSrc) {{
document.getElementById('lightbox-img').src = imgSrc;
document.getElementById('lightbox').classList.add('active');
document.body.style.overflow = 'hidden';
}}
function closeLightbox() {{
document.getElementById('lightbox').classList.remove('active');
document.body.style.overflow = 'auto';
}}
// Close lightbox on ESC key
document.addEventListener('keydown', function(e) {{
if (e.key === 'Escape') closeLightbox();
}});
</script>
<div class="gallery-title">{title}</div>
<div class="image-gallery">
"""
for i, image_url in enumerate(image_urls):
html += f"""
<div class="image-card" onclick="openLightbox('{image_url}')">
<img src="{image_url}" alt="Image {i+1}" onerror="this.src='https://via.placeholder.com/200x200/333/666?text=Image+Error'">
<div class="image-meta">
<div>🖼️ Image #{i+1}</div>
<div>📏 Click to enlarge</div>
</div>
</div>
"""
html += "</div>"
return html
def fetch_outputs():
"""Fetch outputs from API"""
global current_outputs
try:
url = f'{API_HOST}/v1/image/generation/outputs'
response = requests.get(url, headers=headers, timeout=10)
if response.status_code == 200:
data = response.json()
current_outputs = data.get('outputs', [])
return data
else:
return None
except:
return None
def update_outputs_display():
"""Update outputs display with current page"""
global current_outputs, current_page, page_size
if not current_outputs:
return "📭 No outputs found. Generate some images first!", """
<div style='
text-align: center;
padding: 60px;
color: #888;
background: rgba(255,255,255,0.05);
border-radius: 12px;
border: 2px dashed rgba(255,255,255,0.1);
margin: 20px 0;
'>
<div style='font-size: 48px; margin-bottom: 20px;'>🎨</div>
<div style='font-size: 18px; font-weight: bold;'>No images found yet</div>
<div style='margin-top: 10px; opacity: 0.7;'>Try generating some images in the Generate tab!</div>
</div>
""", "[]"
total = len(current_outputs)
total_pages = (total + page_size - 1) // page_size # Ceiling division
# Calculate page bounds
start_idx = current_page * page_size
end_idx = min(start_idx + page_size, total)
page_outputs = current_outputs[start_idx:end_idx]
# Format display
display_text = f"📊 Total outputs: {total}\n"
display_text += f"📄 Page {current_page + 1} of {total_pages}\n"
display_text += f"🖼️ Showing {start_idx + 1}-{end_idx} of {total}\n"
display_text += f"⏰ {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n\n"
# Get image URLs for gallery
image_urls = []
for idx, output in enumerate(page_outputs, start=start_idx + 1):
output_id = output.get('id', 'N/A')
created_at = output.get('created_at', 'N/A')
model_name = output.get('model_name', 'Unknown')
# Gallery status
gallery_status = output.get('gallery_status', 'not_submitted')
gallery_emoji = {
'not_submitted': '🔒',
'submitted': '📤',
'approved': '✅',
'rejected': '❌'
}.get(gallery_status, '❓')
# Favorites
is_favorited = output.get('is_favorited', False)
favorite_emoji = '❤️' if is_favorited else '🤍'
# Format timestamp
if created_at != 'N/A':
try:
dt = datetime.fromisoformat(created_at.replace('Z', '+00:00'))
created_date = dt.strftime('%Y-%m-%d')
created_time = dt.strftime('%H:%M')
display_date = f"{created_date} {created_time}"
except:
display_date = created_at
else:
display_date = 'Unknown'
# Get image URL
image_url = output.get('image_url')
if not image_url:
image_urls_list = output.get('image_urls', [])
if image_urls_list and isinstance(image_urls_list, list) and len(image_urls_list) > 0:
image_url = image_urls_list[0]
if image_url:
image_urls.append(image_url)
display_text += f"{idx}. 🔹 **Output {output_id[:8]}...**\n"
display_text += f" 🕒 {display_date}\n"
display_text += f" 🤖 {model_name}\n"
display_text += f" 🖼️ {gallery_emoji} {gallery_status}\n"
display_text += f" {favorite_emoji} Favorite\n"
# Show generation details if available
generation = output.get('generation', {})
if generation:
prompt = generation.get('prompt', 'No prompt')
if len(prompt) > 50:
prompt = prompt[:50] + '...'
display_text += f" 📝 Prompt: {prompt}\n"
else:
display_text += f"{idx}. ⚠️ No image data\n"
display_text += "─" * 40 + "\n"
# Create gallery HTML
gallery_html = create_gallery_html(image_urls, f"🎨 Your Generated Images (Page {current_page + 1}/{total_pages})")
# Add pagination controls
gallery_html += f"""
<div class="pagination">
<button class="page-btn {'disabled' if current_page == 0 else ''}"
onclick="{'return false;' if current_page == 0 else f'window.paginationButtonClick({current_page - 1})'}">
◀ Previous
</button>
<div class="page-info">
Page {current_page + 1} of {total_pages}
</div>
<button class="page-btn {'disabled' if current_page >= total_pages - 1 else ''}"
onclick="{'return false;' if current_page >= total_pages - 1 else f'window.paginationButtonClick({current_page + 1})'}">
Next ▶
</button>
</div>
<script>
window.paginationButtonClick = function(page) {{
const event = new CustomEvent('gradio_pagination', {{ detail: {{ page: page }} }});
document.dispatchEvent(event);
}}
</script>
"""
return display_text, gallery_html, str(current_outputs)
def load_outputs():
"""Load outputs from API and display first page"""
global current_page
current_page = 0
data = fetch_outputs()
if data:
return update_outputs_display()
else:
return "❌ Failed to load outputs", """
<div style='
color: #ff6b6b;
padding: 30px;
background: rgba(255,107,107,0.1);
border-radius: 12px;
border: 1px solid rgba(255,107,107,0.3);
text-align: center;
'>
<div style='font-size: 24px; margin-bottom: 10px;'>⚠️</div>
<div style='font-size: 16px; font-weight: bold;'>Failed to load outputs</div>
<div style='margin-top: 10px; opacity: 0.8;'>Check your API key and connection</div>
</div>
""", "[]"
def next_page():
"""Go to next page"""
global current_page
if current_outputs:
total_pages = (len(current_outputs) + page_size - 1) // page_size
if current_page < total_pages - 1:
current_page += 1
return update_outputs_display()
def prev_page():
"""Go to previous page"""
global current_page
if current_page > 0:
current_page -= 1
return update_outputs_display()
# ========== CREATE INTERFACE ==========
with gr.Blocks(title="StableCog Image Generator") as demo:
# Add custom CSS directly as HTML
gr.HTML(f"<style>{CUSTOM_CSS}</style>")
gr.Markdown("""
<div class="container">
<h1 style="color: white; text-align: center; margin-bottom: 10px;">🎨 StableCog Image Generator</h1>
<p style="color: #bbb; text-align: center; margin-bottom: 30px;">Create, browse, and manage your AI-generated images</p>
""")
with gr.Tabs():
# ========== GENERATE TAB ==========
with gr.Tab("✨ Generate", id="generate"):
with gr.Row():
with gr.Column(scale=1):
with gr.Group():
gr.Markdown("### 🎯 Prompt Settings")
prompt = gr.Textbox(
label="Prompt",
placeholder="A beautiful sunset over mountains, digital art...",
lines=3,
value="A majestic dragon flying over a fantasy castle, digital art, epic lighting"
)
negative_prompt = gr.Textbox(
label="Negative Prompt (Optional)",
placeholder="blurry, low quality, distorted...",
lines=2,
value="blurry, distorted, low quality, ugly"
)
init_image_url = gr.Textbox(
label="Init Image URL (Optional - for img2img)",
placeholder="https://example.com/image.jpg",
lines=1
)
prompt_strength = gr.Slider(
label="Prompt Strength (for img2img)",
minimum=0.0,
maximum=1.0,
value=0.8,
step=0.1,
visible=False
)
# Show prompt strength only when init image is provided
init_image_url.change(
lambda x: gr.update(visible=bool(x and x.strip())),
inputs=[init_image_url],
outputs=[prompt_strength]
)
with gr.Group():
gr.Markdown("### ⚙️ Generation Settings")
with gr.Row():
model_dropdown = gr.Dropdown(
label="Model",
choices=[m[0] for m in MODELS],
value=DEFAULT_MODEL,
info="Select which AI model to use"
)
with gr.Row():
width = gr.Slider(
label="Width",
minimum=256,
maximum=1024,
value=768,
step=8,
info="Image width (pixels)"
)
height = gr.Slider(
label="Height",
minimum=256,
maximum=1024,
value=768,
step=8,
info="Image height (pixels)"
)
num_outputs = gr.Slider(
label="Number of Images",
minimum=1,
maximum=4,
value=1,
step=1,
info="How many images to generate (uses more credits)"
)
guidance_scale = gr.Slider(
label="Guidance Scale",
minimum=1.0,
maximum=20.0,
value=7.0,
step=0.5,
info="How closely to follow the prompt"
)
inference_steps = gr.Slider(
label="Inference Steps",
minimum=10,
maximum=50,
value=30,
step=1,
info="More steps = more detail but slower"
)
with gr.Row():
scheduler_dropdown = gr.Dropdown(
label="Scheduler",
choices=[s[0] for s in SCHEDULERS],
value=DEFAULT_SCHEDULER,
info="Diffusion sampling method"
)
seed = gr.Textbox(
label="Seed (Optional)",
placeholder="Leave empty for random",
lines=1,
info="Same seed + same settings = same image"
)
with gr.Column(scale=1):
generate_btn = gr.Button(
"🚀 Generate Image",
variant="primary",
size="lg",
scale=1
)
with gr.Group():
gr.Markdown("### 📊 Generation Results")
generate_output = gr.Textbox(
label="Status & Details",
lines=15,
interactive=False,
value="Ready to generate! Enter a prompt and click the button above."
)
with gr.Group():
gr.Markdown("### 🖼️ Generated Images")
generate_gallery = gr.HTML(
label="",
value="""
<div style='
text-align: center;
padding: 40px;
color: #888;
background: rgba(255,255,255,0.05);
border-radius: 12px;
'>
<div style='font-size: 36px; margin-bottom: 10px;'>🖼️</div>
<div>Images will appear here after generation</div>
</div>
"""
)
with gr.Group():
with gr.Accordion("📋 Raw API Response", open=False):
generate_raw = gr.Code(
label="",
language="json",
lines=10,
interactive=False,
value="// API response will appear here"
)
# Connect generate button
generate_btn.click(
generate_image,
inputs=[
prompt, negative_prompt, model_dropdown, width, height,
num_outputs, guidance_scale, inference_steps,
scheduler_dropdown, seed, init_image_url, prompt_strength
],
outputs=[generate_output, generate_gallery, generate_raw]
)
# ========== OUTPUTS TAB ==========
with gr.Tab("🖼️ My Outputs", id="outputs"):
with gr.Row():
with gr.Column(scale=1):
outputs_display = gr.Textbox(
label="Output Details",
lines=25,
value="Click 'Load My Outputs' to see your generated images."
)
with gr.Column(scale=2):
outputs_gallery = gr.HTML(
label="Image Gallery",
value="""
<div style='
text-align: center;
padding: 60px;
color: #888;
background: rgba(255,255,255,0.05);
border-radius: 12px;
border: 2px dashed rgba(255,255,255,0.1);
'>
<div style='font-size: 48px; margin-bottom: 20px;'>🎨</div>
<div style='font-size: 18px; font-weight: bold;'>Your images will appear here</div>
<div style='margin-top: 10px; opacity: 0.7;'>Click 'Load My Outputs' to see your generated images</div>
</div>
"""
)
with gr.Row():
with gr.Accordion("📋 Raw JSON Data", open=False):
outputs_raw = gr.Code(
label="",
language="json",
lines=10,
interactive=False,
value="// Your outputs data will appear here"
)
with gr.Row():
load_outputs_btn = gr.Button |