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import gradio as gr
import threading
import os
import shutil
import tempfile
import time
from util import process_image_edit, process_local_image_edit, download_and_check_result_nsfw
from nfsw import NSFWDetector
# Configuration parameters
TIP_TRY_N = 8 # Show like button tip after 12 tries
FREE_TRY_N = 20 # Free phase: first 15 tries without restrictions
SLOW_TRY_N = 25 # Slow phase start: 25 tries
SLOW2_TRY_N = 32 # Slow phase start: 32 tries
RATE_LIMIT_60 = 40 # Full restriction: blocked after 40 tries
# Time window configuration (minutes)
PHASE_1_WINDOW = 5 # 15-25 tries: 5 minutes
PHASE_2_WINDOW = 10 # 25-32 tries: 10 minutes
PHASE_3_WINDOW = 20 # 32-40 tries: 20 minutes
MAX_IMAGES_PER_WINDOW = 2 # Max images per time window
IP_Dict = {}
# IP generation statistics and time window tracking
IP_Generation_Count = {} # Record total generation count for each IP
IP_Rate_Limit_Track = {} # Record generation count and timestamp in current time window for each IP
def get_ip_generation_count(client_ip):
"""
Get IP generation count
"""
if client_ip not in IP_Generation_Count:
IP_Generation_Count[client_ip] = 0
return IP_Generation_Count[client_ip]
def increment_ip_generation_count(client_ip):
"""
Increment IP generation count
"""
if client_ip not in IP_Generation_Count:
IP_Generation_Count[client_ip] = 0
IP_Generation_Count[client_ip] += 1
return IP_Generation_Count[client_ip]
def get_ip_phase(client_ip):
"""
Get current phase for IP
Returns:
str: 'free', 'rate_limit_1', 'rate_limit_2', 'rate_limit_3', 'blocked'
"""
count = get_ip_generation_count(client_ip)
if count < FREE_TRY_N:
return 'free'
elif count < SLOW_TRY_N:
return 'rate_limit_1' # NSFW blur + 5 minutes 2 images
elif count < SLOW2_TRY_N:
return 'rate_limit_2' # NSFW blur + 10 minutes 2 images
elif count < RATE_LIMIT_60:
return 'rate_limit_3' # NSFW blur + 20 minutes 2 images
else:
return 'blocked' # Generation blocked
def check_rate_limit_for_phase(client_ip, phase):
"""
Check rate limit for specific phase
Returns:
tuple: (is_limited, wait_time_minutes, current_count)
"""
if phase not in ['rate_limit_1', 'rate_limit_2', 'rate_limit_3']:
return False, 0, 0
# Determine time window
if phase == 'rate_limit_1':
window_minutes = PHASE_1_WINDOW
elif phase == 'rate_limit_2':
window_minutes = PHASE_2_WINDOW
else: # rate_limit_3
window_minutes = PHASE_3_WINDOW
current_time = time.time()
window_key = f"{client_ip}_{phase}"
# Clean expired records
if window_key in IP_Rate_Limit_Track:
track_data = IP_Rate_Limit_Track[window_key]
# Check if within current time window
if current_time - track_data['start_time'] > window_minutes * 60:
# Time window expired, reset
IP_Rate_Limit_Track[window_key] = {
'count': 0,
'start_time': current_time,
'last_generation': current_time
}
else:
# Initialize
IP_Rate_Limit_Track[window_key] = {
'count': 0,
'start_time': current_time,
'last_generation': current_time
}
track_data = IP_Rate_Limit_Track[window_key]
# Check if exceeded limit
if track_data['count'] >= MAX_IMAGES_PER_WINDOW:
# Calculate remaining wait time
elapsed = current_time - track_data['start_time']
wait_time = (window_minutes * 60) - elapsed
wait_minutes = max(0, wait_time / 60)
return True, wait_minutes, track_data['count']
return False, 0, track_data['count']
def record_generation_attempt(client_ip, phase):
"""
Record generation attempt
"""
# Increment total count
increment_ip_generation_count(client_ip)
# Record time window count
if phase in ['rate_limit_1', 'rate_limit_2', 'rate_limit_3']:
window_key = f"{client_ip}_{phase}"
current_time = time.time()
if window_key in IP_Rate_Limit_Track:
IP_Rate_Limit_Track[window_key]['count'] += 1
IP_Rate_Limit_Track[window_key]['last_generation'] = current_time
else:
IP_Rate_Limit_Track[window_key] = {
'count': 1,
'start_time': current_time,
'last_generation': current_time
}
def apply_gaussian_blur_to_image_url(image_url, blur_strength=50):
"""
Apply Gaussian blur to image URL
Args:
image_url (str): Original image URL
blur_strength (int): Blur strength, default 50 (heavy blur)
Returns:
PIL.Image: Blurred PIL Image object
"""
try:
import requests
from PIL import Image, ImageFilter
import io
# Download image
response = requests.get(image_url, timeout=30)
if response.status_code != 200:
return None
# Convert to PIL Image
image_data = io.BytesIO(response.content)
image = Image.open(image_data)
# Apply heavy Gaussian blur
blurred_image = image.filter(ImageFilter.GaussianBlur(radius=blur_strength))
return blurred_image
except Exception as e:
print(f"β οΈ Failed to apply Gaussian blur: {e}")
return None
# Initialize NSFW detector (download from Hugging Face)
try:
nsfw_detector = NSFWDetector() # Auto download falconsai_yolov9_nsfw_model_quantized.pt from Hugging Face
print("β
NSFW detector initialized successfully")
except Exception as e:
print(f"β NSFW detector initialization failed: {e}")
nsfw_detector = None
def edit_image_interface(input_image, prompt, request: gr.Request, progress=gr.Progress()):
"""
Interface function for processing image editing with phase-based limitations
"""
try:
# Extract user IP
client_ip = request.client.host
x_forwarded_for = dict(request.headers).get('x-forwarded-for')
if x_forwarded_for:
client_ip = x_forwarded_for
if client_ip not in IP_Dict:
IP_Dict[client_ip] = 0
IP_Dict[client_ip] += 1
if input_image is None:
return None, "Please upload an image first", gr.update(visible=False)
if not prompt or prompt.strip() == "":
return None, "Please enter editing prompt", gr.update(visible=False)
# Check if prompt length is greater than 3 characters
if len(prompt.strip()) <= 3:
return None, "β Editing prompt must be more than 3 characters", gr.update(visible=False)
except Exception as e:
print(f"β οΈ Request preprocessing error: {e}")
return None, "β Request processing error", gr.update(visible=False)
# Get user current phase
current_phase = get_ip_phase(client_ip)
current_count = get_ip_generation_count(client_ip)
print(f"π User phase info - IP: {client_ip}, current phase: {current_phase}, generation count: {current_count}")
# Check if user reached the like button tip threshold
show_like_tip = (current_count >= TIP_TRY_N)
# Check if completely blocked
if current_phase == 'blocked':
# Generate blocked limit button
blocked_button_html = f"""
<div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
<a href='https://omnicreator.net/#generator' target='_blank' style='
display: inline-flex;
align-items: center;
justify-content: center;
padding: 16px 32px;
background: linear-gradient(135deg, #e74c3c 0%, #c0392b 100%);
color: white;
text-decoration: none;
border-radius: 12px;
font-weight: 600;
font-size: 16px;
text-align: center;
min-width: 200px;
box-shadow: 0 4px 15px rgba(231, 76, 60, 0.4);
transition: all 0.3s ease;
border: none;
'>🚀 Unlimited Generation</a>
</div>
"""
return None, f"β You have reached Hugging Face's free generation limit. Please visit https://omnicreator.net/#generator for unlimited generation", gr.update(value=blocked_button_html, visible=True)
# Check rate limit (applies to rate_limit phases)
if current_phase in ['rate_limit_1', 'rate_limit_2', 'rate_limit_3']:
is_limited, wait_minutes, window_count = check_rate_limit_for_phase(client_ip, current_phase)
if is_limited:
wait_minutes_int = int(wait_minutes) + 1
# Generate rate limit button
rate_limit_button_html = f"""
<div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
<a href='https://omnicreator.net/#generator' target='_blank' style='
display: inline-flex;
align-items: center;
justify-content: center;
padding: 16px 32px;
background: linear-gradient(135deg, #f39c12 0%, #e67e22 100%);
color: white;
text-decoration: none;
border-radius: 12px;
font-weight: 600;
font-size: 16px;
text-align: center;
min-width: 200px;
box-shadow: 0 4px 15px rgba(243, 156, 18, 0.4);
transition: all 0.3s ease;
border: none;
'>β° Skip Wait - Unlimited Generation</a>
</div>
"""
return None, f"β You have reached Hugging Face's free generation limit. Please visit https://omnicreator.net/#generator for unlimited generation, or wait {wait_minutes_int} minutes before generating again", gr.update(value=rate_limit_button_html, visible=True)
# Handle NSFW detection based on phase
is_nsfw_task = False # Track if this task involves NSFW content
# Skip NSFW detection in free phase
if current_phase != 'free' and nsfw_detector is not None and input_image is not None:
try:
nsfw_result = nsfw_detector.predict_pil_label_only(input_image)
if nsfw_result.lower() == "nsfw":
is_nsfw_task = True
print(f"π Input NSFW detected in {current_phase} phase: βββ {nsfw_result} - IP: {client_ip} (will blur result)")
else:
print(f"π Input NSFW check passed: β
β
β
{nsfw_result} - IP: {client_ip}")
except Exception as e:
print(f"β οΈ Input NSFW detection failed: {e}")
# Allow continuation when detection fails
result_url = None
status_message = ""
def progress_callback(message):
try:
nonlocal status_message
status_message = message
# Add error handling to prevent progress update failure
if progress is not None:
# Enhanced progress display with better formatting
if "Queue:" in message or "tasks ahead" in message:
# Queue status - show with different progress value to indicate waiting
progress(0.1, desc=message)
elif "Processing" in message or "AI is processing" in message:
# Processing status
progress(0.7, desc=message)
elif "Generating" in message or "Almost done" in message:
# Generation status
progress(0.9, desc=message)
else:
# Default status
progress(0.5, desc=message)
except Exception as e:
print(f"β οΈ Progress update failed: {e}")
try:
# Record generation attempt (before actual generation to ensure correct count)
record_generation_attempt(client_ip, current_phase)
updated_count = get_ip_generation_count(client_ip)
print(f"β
Processing started - IP: {client_ip}, phase: {current_phase}, total count: {updated_count}, prompt: {prompt.strip()}", flush=True)
# Call image editing processing function
result_url, message, task_uuid = process_image_edit(input_image, prompt.strip(), None, progress_callback)
if result_url:
print(f"β
Processing completed successfully - IP: {client_ip}, result_url: {result_url}, task_uuid: {task_uuid}", flush=True)
# Detect result image NSFW content (only in rate limit phases)
if nsfw_detector is not None and current_phase != 'free':
try:
if progress is not None:
progress(0.9, desc="Checking result image...")
is_nsfw, nsfw_error = download_and_check_result_nsfw(result_url, nsfw_detector)
if nsfw_error:
print(f"β οΈ Result image NSFW detection error - IP: {client_ip}, error: {nsfw_error}")
elif is_nsfw:
is_nsfw_task = True # Mark task as NSFW
print(f"π Result image NSFW detected in {current_phase} phase: βββ - IP: {client_ip} (will blur result)")
else:
print(f"π Result image NSFW check passed: β
β
β
- IP: {client_ip}")
except Exception as e:
print(f"β οΈ Result image NSFW detection exception - IP: {client_ip}, error: {str(e)}")
# Apply blur if this is an NSFW task in rate limit phases
should_blur = False
if current_phase in ['rate_limit_1', 'rate_limit_2', 'rate_limit_3'] and is_nsfw_task:
should_blur = True
# Apply blur processing
if should_blur:
if progress is not None:
progress(0.95, desc="Applying content filter...")
blurred_image = apply_gaussian_blur_to_image_url(result_url)
if blurred_image is not None:
final_result = blurred_image # Return PIL Image object
final_message = f"β οΈ NSFW content detected, content filter applied. NSFW content is prohibited by Hugging Face, but you can generate unlimited content at our official website https://omnicreator.net/#generator"
print(f"π Applied Gaussian blur for NSFW content - IP: {client_ip}")
else:
# Blur failed, return original URL with warning
final_result = result_url
final_message = f"β οΈ NSFW content detected, but content filter failed. Please visit https://omnicreator.net/#generator for better experience"
# Generate NSFW button for blurred content
nsfw_action_buttons_html = f"""
<div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
<a href='https://omnicreator.net/#generator' target='_blank' style='
display: inline-flex;
align-items: center;
justify-content: center;
padding: 16px 32px;
background: linear-gradient(135deg, #ff6b6b 0%, #feca57 100%);
color: white;
text-decoration: none;
border-radius: 12px;
font-weight: 600;
font-size: 16px;
text-align: center;
min-width: 200px;
box-shadow: 0 4px 15px rgba(255, 107, 107, 0.4);
transition: all 0.3s ease;
border: none;
'>π₯ Unlimited NSFW Generation</a>
</div>
"""
return final_result, final_message, gr.update(value=nsfw_action_buttons_html, visible=True)
else:
final_result = result_url
final_message = "β
" + message
try:
if progress is not None:
progress(1.0, desc="Processing completed")
except Exception as e:
print(f"β οΈ Final progress update failed: {e}")
# Generate action buttons HTML like Trump AI Voice
action_buttons_html = ""
if task_uuid:
task_detail_url = f"https://omnicreator.net/my-creations/task/{task_uuid}"
action_buttons_html = f"""
<div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
<a href='{task_detail_url}' target='_blank' style='
display: inline-flex;
align-items: center;
justify-content: center;
padding: 16px 32px;
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
color: white;
text-decoration: none;
border-radius: 12px;
font-weight: 600;
font-size: 16px;
text-align: center;
min-width: 160px;
box-shadow: 0 4px 15px rgba(102, 126, 234, 0.4);
transition: all 0.3s ease;
border: none;
'>🖼 Download HD Image</a>
<a href='https://omnicreator.net/#generator' target='_blank' style='
display: inline-flex;
align-items: center;
justify-content: center;
padding: 16px 32px;
background: linear-gradient(135deg, #11998e 0%, #38ef7d 100%);
color: white;
text-decoration: none;
border-radius: 12px;
font-weight: 600;
font-size: 16px;
text-align: center;
min-width: 160px;
box-shadow: 0 4px 15px rgba(17, 153, 142, 0.4);
transition: all 0.3s ease;
border: none;
'>🚀 Unlimited Generation</a>
</div>
"""
# Add popup script if needed (using different approach)
if show_like_tip:
action_buttons_html += """
<div style='display: flex; justify-content: center; margin: 15px 0 5px 0; padding: 0px;'>
<div style='
display: inline-flex;
align-items: center;
justify-content: center;
padding: 12px 24px;
background: linear-gradient(135deg, #ff6b6b 0%, #feca57 100%);
color: white;
border-radius: 10px;
font-weight: 600;
font-size: 14px;
text-align: center;
max-width: 400px;
box-shadow: 0 3px 12px rgba(255, 107, 107, 0.3);
border: none;
'>π Click the β€οΈ Like button to unlock more free trial attempts!</div>
</div>
"""
return final_result, final_message, gr.update(value=action_buttons_html, visible=True)
else:
print(f"β Processing failed - IP: {client_ip}, error: {message}", flush=True)
return None, "β " + message, gr.update(visible=False)
except Exception as e:
print(f"β Processing exception - IP: {client_ip}, error: {str(e)}")
return None, f"β Error occurred during processing: {str(e)}", gr.update(visible=False)
def local_edit_interface(image_dict, prompt, reference_image, request: gr.Request, progress=gr.Progress()):
"""
Handle local editing requests (with phase-based limitations)
"""
try:
# Extract user IP
client_ip = request.client.host
x_forwarded_for = dict(request.headers).get('x-forwarded-for')
if x_forwarded_for:
client_ip = x_forwarded_for
if client_ip not in IP_Dict:
IP_Dict[client_ip] = 0
IP_Dict[client_ip] += 1
if image_dict is None:
return None, "Please upload an image and draw the area to edit", gr.update(visible=False)
# Handle different input formats for ImageEditor
if isinstance(image_dict, dict):
# ImageEditor dict format
if "background" not in image_dict or "layers" not in image_dict:
return None, "Please draw the area to edit on the image", gr.update(visible=False)
base_image = image_dict["background"]
layers = image_dict["layers"]
# Special handling: if background is None but composite exists, use composite
if base_image is None and "composite" in image_dict and image_dict["composite"] is not None:
print("π§ Background is None, using composite instead")
base_image = image_dict["composite"]
else:
# Simple case: Direct PIL Image (from example)
base_image = image_dict
layers = []
# Check for special example case - bypass mask requirement
is_example_case = prompt and prompt.startswith("EXAMPLE_PANDA_CAT_")
# Debug: check current state
if is_example_case:
print(f"π Example case detected - base_image is None: {base_image is None}")
# Special handling for example case: load image directly from file
if is_example_case and base_image is None:
try:
from PIL import Image
import os
main_path = "datas/panda01.jpeg"
print(f"π Trying to load: {main_path}, exists: {os.path.exists(main_path)}")
if os.path.exists(main_path):
base_image = Image.open(main_path)
print(f"β
Successfully loaded example image: {base_image.size}")
else:
return None, f"β Example image not found: {main_path}", gr.update(visible=False)
except Exception as e:
return None, f"β Failed to load example image: {str(e)}", gr.update(visible=False)
# Additional check for base_image
if base_image is None:
if is_example_case:
print(f"β Example case but base_image still None!")
return None, "β No image found. Please upload an image first.", gr.update(visible=False)
if not layers and not is_example_case:
return None, "Please draw the area to edit on the image", gr.update(visible=False)
if not prompt or prompt.strip() == "":
return None, "Please enter editing prompt", gr.update(visible=False)
# Check prompt length
if len(prompt.strip()) <= 3:
return None, "β Editing prompt must be more than 3 characters", gr.update(visible=False)
except Exception as e:
print(f"β οΈ Local edit request preprocessing error: {e}")
return None, "β Request processing error", gr.update(visible=False)
# Get user current phase
current_phase = get_ip_phase(client_ip)
current_count = get_ip_generation_count(client_ip)
print(f"π Local edit user phase info - IP: {client_ip}, current phase: {current_phase}, generation count: {current_count}")
# Check if user reached the like button tip threshold
show_like_tip = (current_count >= TIP_TRY_N)
# Check if completely blocked
if current_phase == 'blocked':
# Generate blocked limit button
blocked_button_html = f"""
<div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
<a href='https://omnicreator.net/#generator' target='_blank' style='
display: inline-flex;
align-items: center;
justify-content: center;
padding: 16px 32px;
background: linear-gradient(135deg, #e74c3c 0%, #c0392b 100%);
color: white;
text-decoration: none;
border-radius: 12px;
font-weight: 600;
font-size: 16px;
text-align: center;
min-width: 200px;
box-shadow: 0 4px 15px rgba(231, 76, 60, 0.4);
transition: all 0.3s ease;
border: none;
'>🚀 Unlimited Generation</a>
</div>
"""
return None, f"β You have reached Hugging Face's free generation limit. Please visit https://omnicreator.net/#generator for unlimited generation", gr.update(value=blocked_button_html, visible=True)
# Check rate limit (applies to rate_limit phases)
if current_phase in ['rate_limit_1', 'rate_limit_2', 'rate_limit_3']:
is_limited, wait_minutes, window_count = check_rate_limit_for_phase(client_ip, current_phase)
if is_limited:
wait_minutes_int = int(wait_minutes) + 1
# Generate rate limit button
rate_limit_button_html = f"""
<div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
<a href='https://omnicreator.net/#generator' target='_blank' style='
display: inline-flex;
align-items: center;
justify-content: center;
padding: 16px 32px;
background: linear-gradient(135deg, #f39c12 0%, #e67e22 100%);
color: white;
text-decoration: none;
border-radius: 12px;
font-weight: 600;
font-size: 16px;
text-align: center;
min-width: 200px;
box-shadow: 0 4px 15px rgba(243, 156, 18, 0.4);
transition: all 0.3s ease;
border: none;
'>β° Skip Wait - Unlimited Generation</a>
</div>
"""
return None, f"β You have reached Hugging Face's free generation limit. Please visit https://omnicreator.net/#generator for unlimited generation, or wait {wait_minutes_int} minutes before generating again", gr.update(value=rate_limit_button_html, visible=True)
# Handle NSFW detection based on phase
is_nsfw_task = False # Track if this task involves NSFW content
# Skip NSFW detection in free phase
if current_phase != 'free' and nsfw_detector is not None and base_image is not None:
try:
nsfw_result = nsfw_detector.predict_pil_label_only(base_image)
if nsfw_result.lower() == "nsfw":
is_nsfw_task = True
print(f"π Local edit input NSFW detected in {current_phase} phase: βββ {nsfw_result} - IP: {client_ip} (will blur result)")
else:
print(f"π Local edit input NSFW check passed: β
β
β
{nsfw_result} - IP: {client_ip}")
except Exception as e:
print(f"β οΈ Local edit input NSFW detection failed: {e}")
# Allow continuation when detection fails
result_url = None
status_message = ""
def progress_callback(message):
try:
nonlocal status_message
status_message = message
# Add error handling to prevent progress update failure
if progress is not None:
# Enhanced progress display with better formatting for local editing
if "Queue:" in message or "tasks ahead" in message:
# Queue status - show with different progress value to indicate waiting
progress(0.1, desc=message)
elif "Processing" in message or "AI is processing" in message:
# Processing status
progress(0.7, desc=message)
elif "Generating" in message or "Almost done" in message:
# Generation status
progress(0.9, desc=message)
else:
# Default status
progress(0.5, desc=message)
except Exception as e:
print(f"β οΈ Local edit progress update failed: {e}")
try:
# Record generation attempt (before actual generation to ensure correct count)
record_generation_attempt(client_ip, current_phase)
updated_count = get_ip_generation_count(client_ip)
print(f"β
Local editing started - IP: {client_ip}, phase: {current_phase}, total count: {updated_count}, prompt: {prompt.strip()}", flush=True)
# Clean prompt for API call
clean_prompt = prompt.strip()
if clean_prompt.startswith("EXAMPLE_PANDA_CAT_"):
clean_prompt = clean_prompt[18:] # Remove the prefix
# Call local image editing processing function
if is_example_case:
# For example case, pass special flag to use local mask file
result_url, message, task_uuid = process_local_image_edit(base_image, layers, clean_prompt, reference_image, progress_callback, use_example_mask="datas/panda01m.jpeg")
else:
# Normal case
result_url, message, task_uuid = process_local_image_edit(base_image, layers, clean_prompt, reference_image, progress_callback)
if result_url:
print(f"β
Local editing completed successfully - IP: {client_ip}, result_url: {result_url}, task_uuid: {task_uuid}", flush=True)
# Detect result image NSFW content (only in rate limit phases)
if nsfw_detector is not None and current_phase != 'free':
try:
if progress is not None:
progress(0.9, desc="Checking result image...")
is_nsfw, nsfw_error = download_and_check_result_nsfw(result_url, nsfw_detector)
if nsfw_error:
print(f"β οΈ Local edit result image NSFW detection error - IP: {client_ip}, error: {nsfw_error}")
elif is_nsfw:
is_nsfw_task = True # Mark task as NSFW
print(f"π Local edit result image NSFW detected in {current_phase} phase: βββ - IP: {client_ip} (will blur result)")
else:
print(f"π Local edit result image NSFW check passed: β
β
β
- IP: {client_ip}")
except Exception as e:
print(f"β οΈ Local edit result image NSFW detection exception - IP: {client_ip}, error: {str(e)}")
# Apply blur if this is an NSFW task in rate limit phases
should_blur = False
if current_phase in ['rate_limit_1', 'rate_limit_2', 'rate_limit_3'] and is_nsfw_task:
should_blur = True
# Apply blur processing
if should_blur:
if progress is not None:
progress(0.95, desc="Applying content filter...")
blurred_image = apply_gaussian_blur_to_image_url(result_url)
if blurred_image is not None:
final_result = blurred_image # Return PIL Image object
final_message = f"β οΈ NSFW content detected, content filter applied. NSFW content is prohibited by Hugging Face, but you can generate unlimited content at our official website https://omnicreator.net/#generator"
print(f"π Local edit applied Gaussian blur for NSFW content - IP: {client_ip}")
else:
# Blur failed, return original URL with warning
final_result = result_url
final_message = f"β οΈ NSFW content detected, but content filter failed. Please visit https://omnicreator.net/#generator for better experience"
# Generate NSFW button for blurred content
nsfw_action_buttons_html = f"""
<div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
<a href='https://omnicreator.net/#generator' target='_blank' style='
display: inline-flex;
align-items: center;
justify-content: center;
padding: 16px 32px;
background: linear-gradient(135deg, #ff6b6b 0%, #feca57 100%);
color: white;
text-decoration: none;
border-radius: 12px;
font-weight: 600;
font-size: 16px;
text-align: center;
min-width: 200px;
box-shadow: 0 4px 15px rgba(255, 107, 107, 0.4);
transition: all 0.3s ease;
border: none;
'>π₯ Unlimited NSFW Generation</a>
</div>
"""
return final_result, final_message, gr.update(value=nsfw_action_buttons_html, visible=True)
else:
final_result = result_url
final_message = "β
" + message
try:
if progress is not None:
progress(1.0, desc="Processing completed")
except Exception as e:
print(f"β οΈ Local edit final progress update failed: {e}")
# Generate action buttons HTML like Trump AI Voice
action_buttons_html = ""
if task_uuid:
task_detail_url = f"https://omnicreator.net/my-creations/task/{task_uuid}"
action_buttons_html = f"""
<div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
<a href='{task_detail_url}' target='_blank' style='
display: inline-flex;
align-items: center;
justify-content: center;
padding: 16px 32px;
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
color: white;
text-decoration: none;
border-radius: 12px;
font-weight: 600;
font-size: 16px;
text-align: center;
min-width: 160px;
box-shadow: 0 4px 15px rgba(102, 126, 234, 0.4);
transition: all 0.3s ease;
border: none;
'>🖼 Download HD Image</a>
<a href='https://omnicreator.net/#generator' target='_blank' style='
display: inline-flex;
align-items: center;
justify-content: center;
padding: 16px 32px;
background: linear-gradient(135deg, #11998e 0%, #38ef7d 100%);
color: white;
text-decoration: none;
border-radius: 12px;
font-weight: 600;
font-size: 16px;
text-align: center;
min-width: 160px;
box-shadow: 0 4px 15px rgba(17, 153, 142, 0.4);
transition: all 0.3s ease;
border: none;
'>🚀 Unlimited Generation</a>
</div>
"""
# Add popup script if needed (using different approach)
if show_like_tip:
action_buttons_html += """
<div style='display: flex; justify-content: center; margin: 15px 0 5px 0; padding: 0px;'>
<div style='
display: inline-flex;
align-items: center;
justify-content: center;
padding: 12px 24px;
background: linear-gradient(135deg, #ff6b6b 0%, #feca57 100%);
color: white;
border-radius: 10px;
font-weight: 600;
font-size: 14px;
text-align: center;
max-width: 400px;
box-shadow: 0 3px 12px rgba(255, 107, 107, 0.3);
border: none;
'>π Please consider clicking the β€οΈ Like button to support this space!</div>
</div>
"""
return final_result, final_message, gr.update(value=action_buttons_html, visible=True)
else:
print(f"β Local editing processing failed - IP: {client_ip}, error: {message}", flush=True)
return None, "β " + message, gr.update(visible=False)
except Exception as e:
print(f"β Local editing exception - IP: {client_ip}, error: {str(e)}")
return None, f"β Error occurred during processing: {str(e)}", gr.update(visible=False)
# Create Gradio interface
def create_app():
with gr.Blocks(
title="AI Image Editor",
theme=gr.themes.Soft(),
css="""
.main-container {
max-width: 1200px;
margin: 0 auto;
}
.upload-area {
border: 2px dashed #ccc;
border-radius: 10px;
padding: 20px;
text-align: center;
}
.result-area {
margin-top: 20px;
padding: 20px;
border-radius: 10px;
background-color: #f8f9fa;
}
.use-as-input-btn {
margin-top: 10px;
width: 100%;
}
""",
# Improve concurrency performance configuration
head="""
<script>
// Reduce client-side state update frequency, avoid excessive SSE connections
if (window.gradio) {
window.gradio.update_frequency = 2000; // Update every 2 seconds
}
</script>
"""
) as app:
# Main title - styled like Trump AI Voice
gr.HTML("""
<div style="text-align: center; margin: 5px auto 0px auto; max-width: 800px;">
<h1 style="color: #2c3e50; margin: 0; font-size: 3.5em; font-weight: 800; letter-spacing: 3px; text-shadow: 2px 2px 4px rgba(0,0,0,0.1);">
π¨ AI Image Editor
</h1>
</div>
""", padding=False)
# π NEW: Multi-Image Editing Announcement Banner with breathing effect
gr.HTML("""
<style>
@keyframes breathe {
0%, 100% { transform: scale(1); }
50% { transform: scale(1.02); }
}
.breathing-banner {
animation: breathe 3s ease-in-out infinite;
}
</style>
<div class="breathing-banner" style="
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
margin: 5px auto 5px auto;
padding: 6px 40px;
border-radius: 20px;
max-width: 700px;
box-shadow: 0 2px 8px rgba(102, 126, 234, 0.3);
text-align: center;
">
<span style="color: white; font-weight: 600; font-size: 1.0em;">
π NEWS:
<a href="https://huggingface.co/spaces/Selfit/Multi-Image-Edit" target="_blank" style="
color: white;
text-decoration: none;
border-bottom: 1px solid rgba(255,255,255,0.5);
transition: all 0.3s ease;
" onmouseover="this.style.borderBottom='1px solid white'"
onmouseout="this.style.borderBottom='1px solid rgba(255,255,255,0.5)'">
World's First Multi-Image Editing Tool β
</a>
</span>
</div>
""", padding=False)
with gr.Tabs():
with gr.Tab("π Global Editor"):
with gr.Row():
with gr.Column(scale=1):
gr.Markdown("### πΈ Upload Image")
input_image = gr.Image(
label="Select image to edit",
type="pil",
height=512,
elem_classes=["upload-area"]
)
gr.Markdown("### βοΈ Editing Instructions")
prompt_input = gr.Textbox(
label="Enter editing prompt",
placeholder="For example: change background to beach, add rainbow, remove background, etc...",
lines=3,
max_lines=5
)
edit_button = gr.Button(
"π Start Editing",
variant="primary",
size="lg"
)
with gr.Column(scale=1):
gr.Markdown("### π― Editing Result")
output_image = gr.Image(
label="Edited image",
height=320,
elem_classes=["result-area"]
)
use_as_input_btn = gr.Button(
"π Use as Input",
variant="secondary",
size="sm",
elem_classes=["use-as-input-btn"]
)
status_output = gr.Textbox(
label="Processing status",
lines=2,
max_lines=3,
interactive=False
)
action_buttons = gr.HTML(visible=False)
gr.Markdown("### π‘ Prompt Examples")
with gr.Row():
example_prompts = [
"Set the background to a grand opera stage with red curtains",
"Change the outfit into a traditional Chinese hanfu with flowing sleeves",
"Give the character blue dragon-like eyes with glowing pupils",
"Change lighting to soft dreamy pastel glow",
"Change pose to sitting cross-legged on the ground"
]
for prompt in example_prompts:
gr.Button(
prompt,
size="sm"
).click(
lambda p=prompt: p,
outputs=prompt_input
)
edit_button.click(
fn=edit_image_interface,
inputs=[input_image, prompt_input],
outputs=[output_image, status_output, action_buttons],
show_progress=True,
concurrency_limit=10,
api_name="global_edit"
)
def simple_use_as_input(output_img):
if output_img is not None:
return output_img
return None
use_as_input_btn.click(
fn=simple_use_as_input,
inputs=[output_image],
outputs=[input_image]
)
with gr.Tab("ποΈ Local Inpaint"):
with gr.Row():
with gr.Column(scale=1):
gr.Markdown("### πΈ Upload Image and Draw Mask")
local_input_image = gr.ImageEditor(
label="Upload image and draw mask",
type="pil",
height=512,
brush=gr.Brush(colors=["#ff0000"], default_size=180),
elem_classes=["upload-area"]
)
gr.Markdown("### πΌοΈ Reference Image(Optional)")
local_reference_image = gr.Image(
label="Upload reference image (optional)",
type="pil",
height=256
)
gr.Markdown("### βοΈ Editing Instructions")
local_prompt_input = gr.Textbox(
label="Enter local editing prompt",
placeholder="For example: change selected area hair to golden, add patterns to selected object, change selected area color, etc...",
lines=3,
max_lines=5
)
local_edit_button = gr.Button(
"π― Start Local Editing",
variant="primary",
size="lg"
)
with gr.Column(scale=1):
gr.Markdown("### π― Editing Result")
local_output_image = gr.Image(
label="Local edited image",
height=320,
elem_classes=["result-area"]
)
local_use_as_input_btn = gr.Button(
"π Use as Input",
variant="secondary",
size="sm",
elem_classes=["use-as-input-btn"]
)
local_status_output = gr.Textbox(
label="Processing status",
lines=2,
max_lines=3,
interactive=False
)
local_action_buttons = gr.HTML(visible=False)
local_edit_button.click(
fn=local_edit_interface,
inputs=[local_input_image, local_prompt_input, local_reference_image],
outputs=[local_output_image, local_status_output, local_action_buttons],
show_progress=True,
concurrency_limit=8,
api_name="local_edit"
)
def simple_local_use_as_input(output_img):
if output_img is not None:
return {
"background": output_img,
"layers": [],
"composite": output_img
}
return None
local_use_as_input_btn.click(
fn=simple_local_use_as_input,
inputs=[local_output_image],
outputs=[local_input_image]
)
# Local inpaint example
gr.Markdown("### π‘ Local Inpaint Example")
def load_local_example():
"""Load panda to cat transformation example - simplified, mask handled in backend"""
try:
from PIL import Image
import os
# Check file paths
main_path = "datas/panda01.jpeg"
ref_path = "datas/cat01.webp"
# Load main image
if not os.path.exists(main_path):
return None, None, "EXAMPLE_PANDA_CAT_let the cat ride on the panda"
main_img = Image.open(main_path)
# Load reference image
if not os.path.exists(ref_path):
ref_img = None
else:
ref_img = Image.open(ref_path)
# ImageEditor format
editor_data = {
"background": main_img,
"layers": [],
"composite": main_img
}
# Special prompt to indicate this is the example case
prompt = "EXAMPLE_PANDA_CAT_let the cat ride on the panda"
# Return just the PIL image instead of dict format to avoid UI state issues
return main_img, ref_img, prompt
except Exception as e:
return None, None, "EXAMPLE_PANDA_CAT_Transform the panda head into a cute cat head, keeping the body"
# Example display
gr.Markdown("#### πΌβ‘οΈπ± Example: Panda to Cat Transformation")
with gr.Row():
with gr.Column(scale=2):
# Preview images for local example
with gr.Row():
try:
gr.Image("datas/panda01.jpeg", label="Main Image", height=120, width=120, show_label=True, interactive=False)
gr.Image("datas/panda01m.jpeg", label="Mask", height=120, width=120, show_label=True, interactive=False)
gr.Image("datas/cat01.webp", label="Reference", height=120, width=120, show_label=True, interactive=False)
except:
gr.Markdown("*Preview images not available*")
gr.Markdown("**Prompt**: let the cat ride on the panda \n**Note**: Mask will be automatically applied when you submit this example")
with gr.Column(scale=1):
gr.Button(
"π¨ Load Panda Example",
size="lg",
variant="secondary"
).click(
fn=load_local_example,
outputs=[local_input_image, local_reference_image, local_prompt_input]
)
# Add a refresh button to fix UI state issues
gr.Button(
"π Refresh Image Editor",
size="sm",
variant="secondary"
).click(
fn=lambda: gr.update(),
outputs=[local_input_image]
)
# SEO Content Section
gr.HTML("""
<div style="width: 100%; margin: 50px 0; padding: 0 20px;">
<div style="text-align: center; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 40px; border-radius: 20px; margin: 40px 0;">
<h2 style="margin: 0 0 20px 0; font-size: 2.2em; font-weight: 700;">
🎨 Unlimited AI Image Generation & Editing
</h2>
<p style="margin: 0 0 25px 0; font-size: 1.2em; opacity: 0.95; line-height: 1.6;">
Experience the ultimate freedom in AI image creation! Generate and edit unlimited images without restrictions,
including NSFW content, with our premium AI image editing platform.
</p>
<div style="display: flex; justify-content: center; gap: 25px; flex-wrap: wrap; margin: 30px 0;">
<a href="https://omnicreator.net/#generator" target="_blank" style="
display: inline-flex;
align-items: center;
justify-content: center;
padding: 20px 40px;
background: linear-gradient(135deg, #ff6b6b 0%, #feca57 100%);
color: white;
text-decoration: none;
border-radius: 15px;
font-weight: 700;
font-size: 18px;
text-align: center;
min-width: 250px;
box-shadow: 0 8px 25px rgba(255, 107, 107, 0.4);
transition: all 0.3s ease;
border: none;
transform: scale(1);
" onmouseover="this.style.transform='scale(1.05)'" onmouseout="this.style.transform='scale(1)'">
🚀 Get Unlimited Access Now
</a>
</div>
<p style="color: rgba(255,255,255,0.9); font-size: 1em; margin: 20px 0 0 0;">
Join thousands of creators who trust Omni Creator for unrestricted AI image generation!
</p>
</div>
<div style="text-align: center; margin: 25px auto; background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%); padding: 35px; border-radius: 20px; box-shadow: 0 10px 30px rgba(0,0,0,0.1);">
<h2 style="color: #2c3e50; margin: 0 0 20px 0; font-size: 1.9em; font-weight: 700;">
⭐ Professional AI Image Editor - No Restrictions
</h2>
<p style="color: #555; font-size: 1.1em; line-height: 1.6; margin: 0 0 20px 0; padding: 0 20px;">
Transform your creative vision into reality with our advanced AI image editing platform. Whether you're creating
art, editing photos, designing content, or working with any type of imagery - our powerful AI removes all limitations
and gives you complete creative freedom.
</p>
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<div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); gap: 25px; margin: 40px 0;">
<div style="background: white; padding: 30px; border-radius: 15px; box-shadow: 0 5px 20px rgba(0,0,0,0.08); border-left: 5px solid #e74c3c;">
<h3 style="color: #e74c3c; margin: 0 0 15px 0; font-size: 1.4em; font-weight: 600;">
🎯 Unlimited Generation
</h3>
<p style="color: #666; margin: 0; line-height: 1.6; font-size: 1em;">
Premium users enjoy unlimited image generation without daily limits, rate restrictions, or content barriers.
Create as many images as you need, whenever you need them.
</p>
</div>
<div style="background: white; padding: 30px; border-radius: 15px; box-shadow: 0 5px 20px rgba(0,0,0,0.08); border-left: 5px solid #3498db;">
<h3 style="color: #3498db; margin: 0 0 15px 0; font-size: 1.4em; font-weight: 600;">
π No Content Restrictions
</h3>
<p style="color: #666; margin: 0; line-height: 1.6; font-size: 1em;">
Generate and edit any type of content without NSFW filters or content limitations. Complete creative
freedom for artists, designers, and content creators.
</p>
</div>
<div style="background: white; padding: 30px; border-radius: 15px; box-shadow: 0 5px 20px rgba(0,0,0,0.08); border-left: 5px solid #27ae60;">
<h3 style="color: #27ae60; margin: 0 0 15px 0; font-size: 1.4em; font-weight: 600;">
⚡ Lightning Fast Processing
</h3>
<p style="color: #666; margin: 0; line-height: 1.6; font-size: 1em;">
Advanced AI infrastructure delivers high-quality results in seconds. No waiting in queues,
no processing delays - just instant, professional-grade image editing.
</p>
</div>
<div style="background: white; padding: 30px; border-radius: 15px; box-shadow: 0 5px 20px rgba(0,0,0,0.08); border-left: 5px solid #9b59b6;">
<h3 style="color: #9b59b6; margin: 0 0 15px 0; font-size: 1.4em; font-weight: 600;">
🎨 Advanced Editing Tools
</h3>
<p style="color: #666; margin: 0; line-height: 1.6; font-size: 1em;">
Global transformations, precision local editing, style transfer, object removal, background replacement,
and dozens of other professional editing capabilities.
</p>
</div>
<div style="background: white; padding: 30px; border-radius: 15px; box-shadow: 0 5px 20px rgba(0,0,0,0.08); border-left: 5px solid #f39c12;">
<h3 style="color: #f39c12; margin: 0 0 15px 0; font-size: 1.4em; font-weight: 600;">
💎 Premium Quality
</h3>
<p style="color: #666; margin: 0; line-height: 1.6; font-size: 1em;">
State-of-the-art AI models trained on millions of images deliver exceptional quality and realism.
Professional results suitable for commercial use and high-end projects.
</p>
</div>
<div style="background: white; padding: 30px; border-radius: 15px; box-shadow: 0 5px 20px rgba(0,0,0,0.08); border-left: 5px solid #34495e;">
<h3 style="color: #34495e; margin: 0 0 15px 0; font-size: 1.4em; font-weight: 600;">
π Multi-Modal Support
</h3>
<p style="color: #666; margin: 0; line-height: 1.6; font-size: 1em;">
Support for all image formats, styles, and use cases. From photorealistic portraits to artistic creations,
product photography to digital art - we handle everything.
</p>
</div>
</div>
<div style="background: linear-gradient(135deg, #11998e 0%, #38ef7d 100%); color: white; padding: 40px; border-radius: 20px; margin: 40px 0; text-align: center;">
<h2 style="margin: 0 0 25px 0; font-size: 1.8em; font-weight: 700;">
💎 Why Choose Omni Creator Premium?
</h2>
<div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(250px, 1fr)); gap: 20px; margin: 30px 0;">
<div style="background: rgba(255,255,255,0.15); padding: 20px; border-radius: 12px;">
<h4 style="margin: 0 0 10px 0; font-size: 1.2em;">π« No Rate Limits</h4>
<p style="margin: 0; opacity: 0.9; font-size: 0.95em;">Generate unlimited images without waiting periods or daily restrictions</p>
</div>
<div style="background: rgba(255,255,255,0.15); padding: 20px; border-radius: 12px;">
<h4 style="margin: 0 0 10px 0; font-size: 1.2em;">π Unrestricted Content</h4>
<p style="margin: 0; opacity: 0.9; font-size: 0.95em;">Create any type of content without NSFW filters or censorship</p>
</div>
<div style="background: rgba(255,255,255,0.15); padding: 20px; border-radius: 12px;">
<h4 style="margin: 0 0 10px 0; font-size: 1.2em;">⚡ Priority Processing</h4>
<p style="margin: 0; opacity: 0.9; font-size: 0.95em;">Skip queues and get instant results with dedicated processing power</p>
</div>
<div style="background: rgba(255,255,255,0.15); padding: 20px; border-radius: 12px;">
<h4 style="margin: 0 0 10px 0; font-size: 1.2em;">🎨 Advanced Features</h4>
<p style="margin: 0; opacity: 0.9; font-size: 0.95em;">Access to latest AI models and cutting-edge editing capabilities</p>
</div>
</div>
<div style="display: flex; justify-content: center; margin: 25px 0 0 0;">
<a href="https://omnicreator.net/#generator" target="_blank" style="
display: inline-flex;
align-items: center;
justify-content: center;
padding: 18px 35px;
background: rgba(255,255,255,0.9);
color: #333;
text-decoration: none;
border-radius: 15px;
font-weight: 700;
font-size: 16px;
text-align: center;
min-width: 200px;
box-shadow: 0 6px 20px rgba(0,0,0,0.3);
transition: all 0.3s ease;
border: none;
">⭐ Start Creating Now</a>
</div>
</div>
<div style="background: linear-gradient(135deg, #ff9a9e 0%, #fecfef 50%, #fecfef 100%); padding: 30px; border-radius: 15px; margin: 40px 0;">
<h3 style="color: #8b5cf6; text-align: center; margin: 0 0 25px 0; font-size: 1.5em; font-weight: 700;">
💡 Pro Tips for Best Results
</h3>
<div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); gap: 18px;">
<div style="background: rgba(255,255,255,0.85); padding: 18px; border-radius: 12px;">
<strong style="color: #8b5cf6; font-size: 1.1em;">π Clear Descriptions:</strong>
<p style="color: #555; margin: 5px 0 0 0; line-height: 1.5;">Use detailed, specific prompts for better results. Describe colors, styles, lighting, and composition clearly.</p>
</div>
<div style="background: rgba(255,255,255,0.85); padding: 18px; border-radius: 12px;">
<strong style="color: #8b5cf6; font-size: 1.1em;">🎯 Local Editing:</strong>
<p style="color: #555; margin: 5px 0 0 0; line-height: 1.5;">Use precise brush strokes to select areas for local editing. Smaller, focused edits often yield better results.</p>
</div>
<div style="background: rgba(255,255,255,0.85); padding: 18px; border-radius: 12px;">
<strong style="color: #8b5cf6; font-size: 1.1em;">⚡ Iterative Process:</strong>
<p style="color: #555; margin: 5px 0 0 0; line-height: 1.5;">Use "Use as Input" feature to refine results. Multiple iterations can achieve complex transformations.</p>
</div>
<div style="background: rgba(255,255,255,0.85); padding: 18px; border-radius: 12px;">
<strong style="color: #8b5cf6; font-size: 1.1em;">🖼 Image Quality:</strong>
<p style="color: #555; margin: 5px 0 0 0; line-height: 1.5;">Higher resolution input images (up to 10MB) generally produce better editing results and finer details.</p>
</div>
</div>
</div>
<div style="text-align: center; margin: 25px auto; background: linear-gradient(135deg, #a8edea 0%, #fed6e3 100%); padding: 35px; border-radius: 20px; box-shadow: 0 10px 30px rgba(0,0,0,0.1);">
<h2 style="color: #2c3e50; margin: 0 0 20px 0; font-size: 1.8em; font-weight: 700;">
🚀 Perfect For Every Creative Need
</h2>
<div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); gap: 20px; margin: 25px 0; text-align: left;">
<div style="background: rgba(255,255,255,0.8); padding: 20px; border-radius: 12px;">
<h4 style="color: #e74c3c; margin: 0 0 10px 0;">π¨ Digital Art</h4>
<ul style="color: #555; margin: 0; padding-left: 18px; line-height: 1.6;">
<li>Character design</li>
<li>Concept art</li>
<li>Style transfer</li>
<li>Artistic effects</li>
</ul>
</div>
<div style="background: rgba(255,255,255,0.8); padding: 20px; border-radius: 12px;">
<h4 style="color: #3498db; margin: 0 0 10px 0;">πΈ Photography</h4>
<ul style="color: #555; margin: 0; padding-left: 18px; line-height: 1.6;">
<li>Background replacement</li>
<li>Object removal</li>
<li>Lighting adjustment</li>
<li>Portrait enhancement</li>
</ul>
</div>
<div style="background: rgba(255,255,255,0.8); padding: 20px; border-radius: 12px;">
<h4 style="color: #27ae60; margin: 0 0 10px 0;">ποΈ E-commerce</h4>
<ul style="color: #555; margin: 0; padding-left: 18px; line-height: 1.6;">
<li>Product photography</li>
<li>Lifestyle shots</li>
<li>Color variations</li>
<li>Context placement</li>
</ul>
</div>
<div style="background: rgba(255,255,255,0.8); padding: 20px; border-radius: 12px;">
<h4 style="color: #9b59b6; margin: 0 0 10px 0;">π± Social Media</h4>
<ul style="color: #555; margin: 0; padding-left: 18px; line-height: 1.6;">
<li>Content creation</li>
<li>Meme generation</li>
<li>Brand visuals</li>
<li>Viral content</li>
</ul>
</div>
</div>
<div style="text-align: center; margin: 25px 0 0 0;">
<a href="https://omnicreator.net/#generator" target="_blank" style="
display: inline-flex;
align-items: center;
justify-content: center;
padding: 18px 35px;
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
color: white;
text-decoration: none;
border-radius: 15px;
font-weight: 700;
font-size: 16px;
text-align: center;
min-width: 220px;
box-shadow: 0 8px 25px rgba(102, 126, 234, 0.4);
transition: all 0.3s ease;
border: none;
">π― Start Your Project Now</a>
</div>
</div>
</div>
<div style="text-align: center; margin: 30px auto 20px auto; padding: 20px;">
<p style="margin: 0 0 10px 0; font-size: 18px; color: #333; font-weight: 500;">
Powered by <a href="https://omnicreator.net/#generator" target="_blank" style="color: #667eea; text-decoration: none; font-weight: bold;">Omni Creator</a>
</p>
<p style="margin: 0; font-size: 14px; color: #999; font-weight: 400;">
The ultimate AI image generation and editing platform β’ Unlimited creativity, zero restrictions
</p>
</div>
""", padding=False)
return app
if __name__ == "__main__":
app = create_app()
# Improve queue configuration to handle high concurrency and prevent SSE connection issues
app.queue(
default_concurrency_limit=20, # Default concurrency limit
max_size=50, # Maximum queue size
api_open=False # Close API access to reduce resource consumption
)
app.launch(
server_name="0.0.0.0",
show_error=True, # Show detailed error information
quiet=False, # Keep log output
max_threads=40, # Increase thread pool size
height=800,
favicon_path=None # Reduce resource loading
) |