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| import os | |
| import gradio as gr | |
| import numpy as np | |
| import spaces | |
| import torch | |
| import random | |
| from PIL import Image, ImageFilter | |
| from typing import Iterable | |
| from gradio.themes import Soft | |
| from gradio.themes.utils import colors, fonts, sizes | |
| from deep_translator import GoogleTranslator | |
| from transformers import pipeline | |
| from datetime import date | |
| import json | |
| # --- تعریف تم --- | |
| colors.steel_blue = colors.Color( | |
| name="steel_blue", | |
| c50="#EBF3F8", | |
| c100="#D3E5F0", | |
| c200="#A8CCE1", | |
| c300="#7DB3D2", | |
| c400="#529AC3", | |
| c500="#4682B4", | |
| c600="#3E72A0", | |
| c700="#36638C", | |
| c800="#2E5378", | |
| c900="#264364", | |
| c950="#1E3450", | |
| ) | |
| device = torch.device("cuda" if torch.cuda.is_available() else "cpu") | |
| # --- تنظیمات سیستم اعتبار --- | |
| USAGE_LIMIT = 5 | |
| DATA_FILE = "usage_data.json" | |
| PREMIUM_PAGE_ID = '1149636' | |
| # --- مدیریت ذخیرهسازی دادهها --- | |
| def load_usage_data(): | |
| if os.path.exists(DATA_FILE): | |
| try: | |
| with open(DATA_FILE, 'r') as f: | |
| return json.load(f) | |
| except: | |
| return {} | |
| return {} | |
| def save_usage_data(data): | |
| try: | |
| with open(DATA_FILE, 'w') as f: | |
| json.dump(data, f) | |
| except Exception as e: | |
| print(f"Error saving data: {e}") | |
| # بارگذاری اولیه دادهها | |
| usage_data_cache = load_usage_data() | |
| # --- بارگذاری مدل تشخیص محتوای نامناسب (Image Safety) --- | |
| print("Loading Safety Checker...") | |
| safety_classifier = pipeline("image-classification", model="Falconsai/nsfw_image_detection", device=-1) | |
| def is_image_nsfw(image): | |
| if image is None: return False | |
| try: | |
| results = safety_classifier(image) | |
| for result in results: | |
| if result['label'] == 'nsfw' and result['score'] > 0.75: | |
| return True | |
| return False | |
| except Exception as e: | |
| print(f"Safety check error: {e}") | |
| return False | |
| # --- بارگذاری مدل اصلی --- | |
| from diffusers import FlowMatchEulerDiscreteScheduler | |
| from qwenimage.pipeline_qwenimage_edit_plus import QwenImageEditPlusPipeline | |
| from qwenimage.transformer_qwenimage import QwenImageTransformer2DModel | |
| from qwenimage.qwen_fa3_processor import QwenDoubleStreamAttnProcessorFA3 | |
| dtype = torch.bfloat16 | |
| device = "cuda" if torch.cuda.is_available() else "cpu" | |
| print("Loading pipeline...") | |
| pipe = QwenImageEditPlusPipeline.from_pretrained( | |
| "Qwen/Qwen-Image-Edit-2509", | |
| transformer=QwenImageTransformer2DModel.from_pretrained( | |
| "linoyts/Qwen-Image-Edit-Rapid-AIO", | |
| subfolder='transformer', | |
| torch_dtype=dtype, | |
| device_map='cuda' | |
| ), | |
| torch_dtype=dtype | |
| ).to(device) | |
| # بارگذاری LoRA ها | |
| pipe.load_lora_weights("autoweeb/Qwen-Image-Edit-2509-Photo-to-Anime", weight_name="Qwen-Image-Edit-2509-Photo-to-Anime_000001000.safetensors", adapter_name="anime") | |
| pipe.load_lora_weights("dx8152/Qwen-Edit-2509-Multiple-angles", weight_name="镜头转换.safetensors", adapter_name="multiple-angles") | |
| pipe.load_lora_weights("dx8152/Qwen-Image-Edit-2509-Light_restoration", weight_name="移除光影.safetensors", adapter_name="light-restoration") | |
| pipe.load_lora_weights("dx8152/Qwen-Image-Edit-2509-Relight", weight_name="Qwen-Edit-Relight.safetensors", adapter_name="relight") | |
| pipe.load_lora_weights("dx8152/Qwen-Edit-2509-Multi-Angle-Lighting", weight_name="多角度灯光-251116.safetensors", adapter_name="multi-angle-lighting") | |
| pipe.load_lora_weights("tlennon-ie/qwen-edit-skin", weight_name="qwen-edit-skin_1.1_000002750.safetensors", adapter_name="edit-skin") | |
| pipe.load_lora_weights("lovis93/next-scene-qwen-image-lora-2509", weight_name="next-scene_lora-v2-3000.safetensors", adapter_name="next-scene") | |
| pipe.load_lora_weights("vafipas663/Qwen-Edit-2509-Upscale-LoRA", weight_name="qwen-edit-enhance_64-v3_000001000.safetensors", adapter_name="upscale-image") | |
| pipe.transformer.set_attn_processor(QwenDoubleStreamAttnProcessorFA3()) | |
| MAX_SEED = np.iinfo(np.int32).max | |
| LORA_MAPPING = { | |
| "تبدیل عکس به انیمه": "anime", | |
| "تغییر زاویه دید": "multiple-angles", | |
| "اصلاح نور و سایه": "light-restoration", | |
| "نورپردازی مجدد (Relight)": "relight", | |
| "نورپردازی چند زاویهای": "multi-angle-lighting", | |
| "روتوش پوست": "edit-skin", | |
| "صحنه بعدی (سینمایی)": "next-scene", | |
| "افزایش کیفیت (Upscale)": "upscale-image" | |
| } | |
| ASPECT_RATIOS_LIST = [ | |
| "خودکار (پیشفرض)", | |
| "۱:۱ (مربع - 1024x1024)", | |
| "۱۶:۹ (افقی - 1344x768)", | |
| "۹:۱۶ (عمودی - 768x1344)", | |
| "شخصیسازی (Custom)" | |
| ] | |
| ASPECT_RATIOS_MAP = { | |
| "خودکار (پیشفرض)": "Auto", | |
| "۱:۱ (مربع - 1024x1024)": (1024, 1024), | |
| "۱۶:۹ (افقی - 1344x768)": (1344, 768), | |
| "۹:۱۶ (عمودی - 768x1344)": (768, 1344), | |
| "شخصیسازی (Custom)": "Custom" | |
| } | |
| # --- لیست کلمات ممنوعه پیشرفته (Strict Mode) --- | |
| BANNED_WORDS = [ | |
| # General NSFW | |
| "nsfw", "nude", "naked", "sex", "porn", "erotic", "xxx", "18+", "adult", | |
| "explicit", "uncensored", "sexual", "lewd", "sensual", "lust", "horny", | |
| # Anatomy (Explicit) | |
| "breast", "breasts", "nipple", "nipples", "vagina", "pussy", "cunt", | |
| "penis", "dick", "cock", "genital", "genitals", "groin", "pubic", | |
| "ass", "butt", "buttocks", "anus", "anal", "rectum", | |
| # Acts / Concepts | |
| "intercourse", "masturbation", "orgasm", "blowjob", "bj", "cum", "sperm", | |
| "ejaculation", "penetration", "fucking", "sucking", "licking", | |
| # Clothing / Lingerie | |
| "lingerie", "bikini", "swimwear", "underwear", "panties", "bra", "thong", | |
| "topless", "bottomless", "undressed", "unclothed", "skimpy", "transparent", | |
| "see-through", | |
| # Fetish / Styles | |
| "fetish", "bdsm", "bondage", "latex", "hentai", "ecchi", "ahegao", | |
| "exhibitionism", "voyeur", "harem", | |
| # Violence / Gore (Optional but recommended for strict safety) | |
| "gore", "bloody", "blood", "kill", "murder", "dead", "torture", "abuse" | |
| ] | |
| def check_text_safety(text): | |
| """ | |
| بررسی وجود کلمات ممنوعه در متن انگلیسی. | |
| از متد whole word matching ساده استفاده میکند تا کلماتی مثل 'assassin' اشتباهاً حذف نشوند. | |
| """ | |
| if not text: return True | |
| text_lower = text.lower() | |
| # نرمالسازی متن برای جستجوی دقیقتر | |
| # اضافه کردن فاصله به اول و آخر متن برای تشخیص کلمات اول و آخر جمله | |
| padded_text = f" {text_lower} " | |
| # حذف علائم نگارشی برای جلوگیری از دور زدن فیلتر (مثلاً sex.) | |
| for char in [".", ",", "!", "?", "-", "_", "(", ")", "[", "]", "{", "}"]: | |
| padded_text = padded_text.replace(char, " ") | |
| for word in BANNED_WORDS: | |
| # جستجو به صورت کلمه مستقل | |
| if f" {word} " in padded_text: | |
| print(f"Safety Triggered: Found banned word '{word}'") | |
| return False | |
| return True | |
| def translate_prompt(text): | |
| if not text: | |
| return "" | |
| try: | |
| translated = GoogleTranslator(source='auto', target='en').translate(text) | |
| return translated | |
| except Exception as e: | |
| print(f"Translation Error: {e}") | |
| return text | |
| def update_dimensions_on_upload(image): | |
| if image is None: | |
| return 1024, 1024 | |
| original_width, original_height = image.size | |
| if original_width > original_height: | |
| new_width = 1024 | |
| aspect_ratio = original_height / original_width | |
| new_height = int(new_width * aspect_ratio) | |
| else: | |
| new_height = 1024 | |
| aspect_ratio = original_width / original_height | |
| new_width = int(new_height * aspect_ratio) | |
| new_width = (new_width // 8) * 8 | |
| new_height = (new_height // 8) * 8 | |
| return new_width, new_height | |
| def update_sliders_visibility(choice): | |
| if choice == "شخصیسازی (Custom)": | |
| return gr.update(visible=True), gr.update(visible=True) | |
| else: | |
| return gr.update(visible=False), gr.update(visible=False) | |
| def get_error_html(message): | |
| return f""" | |
| <div style="background-color: #fee2e2; border: 1px solid #ef4444; color: #b91c1c; padding: 12px; border-radius: 8px; text-align: center; margin-bottom: 10px; font-weight: bold; display: flex; align-items: center; justify-content: center; gap: 8px;"> | |
| <span style="font-size: 1.2em;">⛔</span> | |
| {message} | |
| </div> | |
| """ | |
| def get_success_html(message): | |
| return f""" | |
| <div style="background-color: #dcfce7; border: 1px solid #22c55e; color: #15803d; padding: 12px; border-radius: 8px; text-align: center; margin-bottom: 10px; font-weight: bold; display: flex; align-items: center; justify-content: center; gap: 8px;"> | |
| <span style="font-size: 1.2em;">✅</span> | |
| {message} | |
| </div> | |
| """ | |
| def get_quota_exceeded_html(): | |
| return """ | |
| <div style="background: linear-gradient(135deg, #fffbeb 0%, #fef3c7 100%); border: 2px solid #f59e0b; padding: 20px; border-radius: 16px; text-align: center; box-shadow: 0 4px 15px rgba(245, 158, 11, 0.1);"> | |
| <div style="font-size: 3rem; margin-bottom: 10px;">💎</div> | |
| <h3 style="color: #92400e; margin: 0 0 10px 0; font-weight: 800;">اعتبار رایگان امروز تمام شد</h3> | |
| <p style="color: #b45309; margin: 0; font-size: 0.95em;">شما از ۵ تصویر رایگان امروز استفاده کردهاید.<br>برای ساخت تصاویر نامحدود و حرفهای، لطفا نسخه خود را ارتقا دهید.</p> | |
| </div> | |
| """ | |
| def get_user_record(fingerprint): | |
| """خواندن رکورد کاربر از دیتابیس بدون اعمال تغییرات""" | |
| global usage_data_cache | |
| if not fingerprint: return None | |
| # Reload to get fresh data | |
| usage_data_cache = load_usage_data() | |
| today_str = date.today().isoformat() | |
| user_record = usage_data_cache.get(fingerprint) | |
| if not user_record or user_record.get("last_reset") != today_str: | |
| return {"count": 0, "last_reset": today_str} | |
| return user_record | |
| def consume_quota(fingerprint): | |
| """کسر اعتبار کاربر""" | |
| global usage_data_cache | |
| today_str = date.today().isoformat() | |
| usage_data_cache = load_usage_data() | |
| user_record = usage_data_cache.get(fingerprint) | |
| if not user_record or user_record.get("last_reset") != today_str: | |
| user_record = {"count": 0, "last_reset": today_str} | |
| user_record["count"] += 1 | |
| usage_data_cache[fingerprint] = user_record | |
| save_usage_data(usage_data_cache) | |
| return user_record["count"] | |
| # --- تابع بررسی اولیه (بدون GPU) برای نمایش/مخفی کردن دکمهها --- | |
| def check_initial_quota(fingerprint, subscription_status): | |
| """ | |
| این تابع به محض لود شدن صفحه توسط جاوا اسکریپت صدا زده میشود. | |
| اگر اعتبار تمام شده باشد، دکمه ساخت را مخفی و دکمه ارتقا را نشان میدهد. | |
| """ | |
| if not fingerprint: | |
| return gr.update(visible=True), gr.update(visible=False), None | |
| if subscription_status == 'paid': | |
| return gr.update(visible=True), gr.update(visible=False), None | |
| user_record = get_user_record(fingerprint) | |
| current_usage = user_record["count"] if user_record else 0 | |
| if current_usage >= USAGE_LIMIT: | |
| # اعتبار تمام شده | |
| return gr.update(visible=False), gr.update(visible=True), get_quota_exceeded_html() | |
| else: | |
| # اعتبار دارد | |
| return gr.update(visible=True), gr.update(visible=False), None | |
| def infer( | |
| input_image, | |
| prompt, | |
| lora_adapter_persian, | |
| seed, | |
| randomize_seed, | |
| guidance_scale, | |
| steps, | |
| aspect_ratio_selection, | |
| custom_width, | |
| custom_height, | |
| fingerprint, | |
| subscription_status, | |
| progress=gr.Progress(track_tqdm=True) | |
| ): | |
| # بررسی نهایی اعتبار قبل از شروع پردازش سنگین | |
| if subscription_status != 'paid': | |
| user_record = get_user_record(fingerprint) | |
| if user_record and user_record["count"] >= USAGE_LIMIT: | |
| return ( | |
| None, seed, get_quota_exceeded_html(), | |
| gr.update(visible=False), gr.update(visible=True) | |
| ) | |
| # --- بررسیهای اولیه (تصویر و متن) قبل از کسر اعتبار --- | |
| if input_image is None: | |
| return None, seed, get_error_html("لطفاً ابتدا یک تصویر بارگذاری کنید."), gr.update(visible=True), gr.update(visible=False) | |
| if is_image_nsfw(input_image): | |
| return None, seed, get_error_html("تصویر ورودی دارای محتوای نامناسب است و پردازش نمیشود."), gr.update(visible=True), gr.update(visible=False) | |
| # ترجمه و بررسی متن (مهم: قبل از کسر اعتبار) | |
| english_prompt = translate_prompt(prompt) | |
| if not check_text_safety(english_prompt): | |
| return None, seed, get_error_html("متن درخواست شامل کلمات غیرمجاز، جنسی یا خشونتآمیز است. لطفاً متن را اصلاح کنید."), gr.update(visible=True), gr.update(visible=False) | |
| # اگر همه چیز امن بود، حالا اعتبار را کسر میکنیم | |
| if subscription_status != 'paid': | |
| consume_quota(fingerprint) | |
| adapter_internal_name = LORA_MAPPING.get(lora_adapter_persian) | |
| if adapter_internal_name: | |
| pipe.set_adapters([adapter_internal_name], adapter_weights=[1.0]) | |
| if randomize_seed: | |
| seed = random.randint(0, MAX_SEED) | |
| generator = torch.Generator(device=device).manual_seed(seed) | |
| # اضافه کردن کلمات منفی ایمنی به صورت پیشفرض به پرامپت منفی | |
| safety_negative = "nsfw, nude, naked, porn, sexual, xxx, breast, nipple, genital, vagina, penis, ass, lingerie, bikini, swimwear, underwear, fetish, topless, gore, violence, blood, explicit" | |
| base_negative = "worst quality, low quality, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, jpeg artifacts, signature, watermark, username, blurry" | |
| final_negative_prompt = f"{safety_negative}, {base_negative}" | |
| original_image = input_image.convert("RGB") | |
| selection_value = ASPECT_RATIOS_MAP.get(aspect_ratio_selection) | |
| if selection_value == "Custom": | |
| width = (int(custom_width) // 8) * 8 | |
| height = (int(custom_height) // 8) * 8 | |
| elif selection_value == "Auto" or selection_value is None: | |
| width, height = update_dimensions_on_upload(original_image) | |
| else: | |
| width, height = selection_value | |
| try: | |
| result = pipe( | |
| image=original_image, | |
| prompt=english_prompt, | |
| negative_prompt=final_negative_prompt, | |
| height=height, | |
| width=width, | |
| num_inference_steps=steps, | |
| generator=generator, | |
| true_cfg_scale=guidance_scale, | |
| ).images[0] | |
| # بررسی نهایی تصویر تولید شده | |
| if is_image_nsfw(result): | |
| return None, seed, get_error_html("تصویر تولید شده حاوی محتوای نامناسب بود و حذف شد."), gr.update(visible=True), gr.update(visible=False) | |
| # محاسبه اعتبار باقیمانده برای نمایش | |
| user_record = get_user_record(fingerprint) | |
| remaining = USAGE_LIMIT - user_record["count"] if user_record else 0 | |
| success_msg = f"تصویر با موفقیت ویرایش شد." | |
| if subscription_status != 'paid': | |
| success_msg += f" (اعتبار باقیمانده امروز: {remaining})" | |
| # اگر با این درخواست اعتبار تمام شد، دکمهها را آپدیت میکنیم | |
| if subscription_status != 'paid' and remaining <= 0: | |
| return result, seed, get_success_html(success_msg), gr.update(visible=False), gr.update(visible=True) | |
| return result, seed, get_success_html(success_msg), gr.update(visible=True), gr.update(visible=False) | |
| except Exception as e: | |
| error_str = str(e) | |
| # ------------------------------------------------------------- | |
| # مدیریت خطای GPU QUOTA | |
| # ------------------------------------------------------------- | |
| if "quota" in error_str.lower() or "exceeded" in error_str.lower(): | |
| raise e | |
| return None, seed, get_error_html(f"خطا در پردازش: {error_str}"), gr.update(visible=True), gr.update(visible=False) | |
| def infer_example(input_image, prompt, lora_adapter): | |
| # مثالها اعتبار کم نمیکنند | |
| res, s, status, btn1, btn2 = infer(input_image, prompt, lora_adapter, 0, True, 1.0, 4, "خودکار (پیشفرض)", 1024, 1024, "example_user", "paid") | |
| return res, s, status | |
| # --- جاوااسکریپت برای دکمه دانلود --- | |
| js_download_func = """ | |
| async (image) => { | |
| if (!image) { | |
| alert("لطفاً ابتدا تصویر را تولید کنید."); | |
| return; | |
| } | |
| let fileUrl = image.url; | |
| if (fileUrl && !fileUrl.startsWith('http')) { | |
| fileUrl = window.location.origin + fileUrl; | |
| } else if (!fileUrl && image.path) { | |
| fileUrl = window.location.origin + "/file=" + image.path; | |
| } | |
| window.parent.postMessage({ | |
| type: 'DOWNLOAD_REQUEST', | |
| url: fileUrl | |
| }, '*'); | |
| } | |
| """ | |
| # --- جاوااسکریپت برای دکمه ارتقا --- | |
| js_upgrade_func = """ | |
| () => { | |
| window.parent.postMessage({ type: 'NAVIGATE_TO_PREMIUM' }, '*'); | |
| } | |
| """ | |
| # --- جاوااسکریپت سراسری --- | |
| js_global_content = """ | |
| <script> | |
| document.addEventListener('DOMContentLoaded', () => { | |
| // --------------------------------------------- | |
| // 1. Fingerprint & Subscription Logic | |
| // --------------------------------------------- | |
| async function getBrowserFingerprint() { | |
| const components = []; | |
| components.push(navigator.userAgent); | |
| components.push(navigator.language); | |
| components.push(screen.colorDepth); | |
| components.push(screen.width + 'x' + screen.height); | |
| components.push(new Date().getTimezoneOffset()); | |
| try { | |
| const canvas = document.createElement('canvas'); | |
| const ctx = canvas.getContext('2d'); | |
| ctx.textBaseline = "top"; ctx.font = "14px 'Arial'"; ctx.textBaseline = "alphabetic"; | |
| ctx.fillStyle = "#f60"; ctx.fillRect(125, 1, 62, 20); | |
| ctx.fillStyle = "#069"; ctx.fillText("Alpha_AI_Fingerprint_v1_!@#", 2, 15); | |
| components.push(canvas.toDataURL()); | |
| } catch (e) { components.push("canvas-err"); } | |
| const str = components.join('~~~'); | |
| let hash = 0; | |
| for (let i = 0; i < str.length; i++) { | |
| const char = str.charCodeAt(i); | |
| hash = ((hash << 5) - hash) + char; | |
| hash |= 0; | |
| } | |
| return 'fp_' + Math.abs(hash).toString(16); | |
| } | |
| function isUserPaid(userObject) { | |
| const PREMIUM_PAGE_ID = '1149636'; | |
| if (userObject && userObject.isLogin && userObject.accessible_pages) { | |
| if (Array.isArray(userObject.accessible_pages)) { | |
| return userObject.accessible_pages.some(page => String(page) === String(PREMIUM_PAGE_ID)); | |
| } | |
| } | |
| return false; | |
| } | |
| function updateHiddenInputs(fingerprint, status) { | |
| const fpInput = document.querySelector('#fingerprint_storage textarea'); | |
| const stInput = document.querySelector('#status_storage textarea'); | |
| if(fpInput && fingerprint && fpInput.value !== fingerprint) { | |
| fpInput.value = fingerprint; | |
| fpInput.dispatchEvent(new Event('input', { bubbles: true })); | |
| } | |
| if(stInput && status && stInput.value !== status) { | |
| stInput.value = status; | |
| stInput.dispatchEvent(new Event('input', { bubbles: true })); | |
| } | |
| } | |
| function updateSubscriptionBadge(status) { | |
| const badge = document.getElementById('user-sub-badge'); | |
| if (!badge) return; | |
| if (status === 'paid') { | |
| badge.innerHTML = '✨ اشتراک: <span style="color: #FFD700; font-weight: bold;">نامحدود (PRO)</span>'; | |
| badge.style.background = 'linear-gradient(45deg, #1e3a8a, #3b82f6)'; | |
| } else { | |
| badge.innerHTML = '👤 اشتراک: <span style="color: #fff; font-weight: bold;">رایگان (۵ اعتبار روزانه)</span>'; | |
| badge.style.background = 'linear-gradient(45deg, #4b5563, #6b7280)'; | |
| } | |
| badge.style.display = 'inline-block'; | |
| } | |
| async function initUserIdentity() { | |
| window.userFingerprint = await getBrowserFingerprint(); | |
| window.userStatus = 'free'; | |
| window.parent.postMessage({ type: 'REQUEST_USER_STATUS' }, '*'); | |
| updateSubscriptionBadge('free'); | |
| // Initial update | |
| updateHiddenInputs(window.userFingerprint, window.userStatus); | |
| // Polling to ensure inputs stay synced | |
| setInterval(() => { | |
| if(window.userFingerprint) { | |
| updateHiddenInputs(window.userFingerprint, window.userStatus || 'free'); | |
| } | |
| }, 1500); | |
| } | |
| window.addEventListener('message', (event) => { | |
| if (event.data && event.data.type === 'USER_STATUS_RESPONSE') { | |
| try { | |
| const userObject = typeof event.data.payload === 'string' | |
| ? JSON.parse(event.data.payload) | |
| : event.data.payload; | |
| const status = isUserPaid(userObject) ? 'paid' : 'free'; | |
| window.userStatus = status; | |
| updateSubscriptionBadge(status); | |
| updateHiddenInputs(window.userFingerprint, status); | |
| } catch (e) { | |
| console.error("Error parsing user status:", e); | |
| updateSubscriptionBadge('free'); | |
| } | |
| } | |
| }); | |
| initUserIdentity(); | |
| // --------------------------------------------- | |
| // 2. GPU QUOTA HANDLER (Modal & Scanner) | |
| // --------------------------------------------- | |
| // RETRY FUNCTION | |
| window.retryGeneration = function() { | |
| const modal = document.getElementById('custom-quota-modal'); | |
| if (modal) modal.remove(); | |
| const runBtn = document.getElementById('run-btn'); | |
| if(runBtn) runBtn.click(); | |
| }; | |
| // Close function | |
| window.closeErrorModal = function() { | |
| const modal = document.getElementById('custom-quota-modal'); | |
| if (modal) modal.remove(); | |
| }; | |
| // SHOW MODAL FUNCTION | |
| const showQuotaModal = () => { | |
| if (document.getElementById('custom-quota-modal')) return; | |
| const modalHtml = ` | |
| <div id="custom-quota-modal" style="position: fixed; top: 0; left: 0; width: 100%; height: 100%; background: rgba(0,0,0,0.6); backdrop-filter: blur(5px); z-index: 99999; display: flex; align-items: center; justify-content: center; font-family: 'Vazirmatn', sans-serif;"> | |
| <div class="ip-reset-guide-container"> | |
| <div class="guide-header"> | |
| <svg class="guide-header-icon" viewbox="0 0 100 100" xmlns="http://www.w3.org/2000/svg"> | |
| <defs><lineargradient id="grad1" x1="0%" y1="0%" x2="100%" y2="100%"><stop offset="0%" style="stop-color: #667eea; stop-opacity: 1;"></stop><stop offset="100%" style="stop-color: #764ba2; stop-opacity: 1;"></stop></lineargradient></defs> | |
| <circle cx="50" cy="50" r="45" fill="url(#grad1)" opacity="0.1"></circle> | |
| <circle cx="50" cy="50" r="35" fill="none" stroke="url(#grad1)" stroke-width="2" opacity="0.3"></circle> | |
| <path d="M35 50 L45 60 L65 40" stroke="url(#grad1)" stroke-width="4" fill="none" stroke-linecap="round" stroke-linejoin="round"></path> | |
| <circle cx="65" cy="35" r="8" fill="#fee140"></circle> | |
| <path d="M62 35 L68 35 M65 32 L65 38" stroke="white" stroke-width="2" stroke-linecap="round"></path> | |
| </svg> | |
| <div> | |
| <h2>یک قدم تا ساخت تصاویر جدید</h2> | |
| <p>نیازمند تغییر نقطه دستیابی</p> | |
| </div> | |
| </div> | |
| <div class="guide-content"> | |
| <div class="info-card"> | |
| <div class="info-card-header"> | |
| <svg class="info-card-icon" viewbox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M13 2L3 14h9l-1 8 10-12h-9l1-8z" fill="#667eea" opacity="0.2"></path><path d="M13 2L3 14h9l-1 8 10-12h-9l1-8z" stroke="#667eea" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></svg> | |
| <span class="info-card-title">راه حل سریع</span> | |
| </div> | |
| <p>طبق ویدیو آموزشی پایین بین نقطه دستیابی جابجا شوید تلاش مجدد بزنید تا تصاویر مجدداً تولید بشه.</p> | |
| </div> | |
| <div class="summary-section"> | |
| <div class="summary-header"> | |
| <svg class="summary-icon" viewbox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><circle cx="12" cy="12" r="10" fill="#56ab2f" opacity="0.2"></circle><path d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2z" stroke="#56ab2f" stroke-width="2"></path><path d="M9 12l2 2 4-4" stroke="#56ab2f" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></svg> | |
| <span class="summary-title">خلاصه راهنما</span> | |
| </div> | |
| <div class="summary-text">هربار که این صفحه را مشاهده کردید: از اینترنت سیمکارت استفاده کنید، VPN را خاموش کرده و طبق ویدیو آموزشی پایین نقطه دستیابی رو تغییر دهید. «تلاش مجدد» کلیک کنید. با این روش ساده میتوانید به صورت نامحدود تصویر بسازید! ☘️</div> | |
| </div> | |
| <div class="video-button-container"> | |
| <button onclick="parent.postMessage({ type: 'NAVIGATE_TO_URL', url: '#/nav/online/news/getSingle/1149635/eyJpdiI6IjhHVGhPQWJwb3E0cjRXbnFWTW5BaUE9PSIsInZhbHVlIjoiS1V0dTdvT21wbXAwSXZaK1RCTG1pVXZqdlFJa1hXV1RKa2FLem9zU3pXMjd5MmlVOGc2YWY0NVdNR3h3Smp1aSIsIm1hYyI6IjY1NTA5ZDYzMjAzMTJhMGQyMWQ4NjA4ZDgyNGZjZDVlY2MyNjdiMjA2NWYzOWRjY2M4ZmVjYWRlMWNlMWQ3ODEiLCJ0YWciOiIifQ==/21135210' }, '*')" class="elegant-video-button"> | |
| <svg class="elegant-video-button-icon" xmlns="http://www.w3.org/2000/svg" viewbox="0 0 24 24"><path d="M8 5v14l11-7z"></path></svg> | |
| <span>دیدن ویدیو آموزشی استفاده نامحدود</span> | |
| </button> | |
| </div> | |
| </div> | |
| <div class="guide-actions"> | |
| <button class="action-button back-button" onclick="window.closeErrorModal()"> | |
| <svg class="action-button-icon" viewbox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M19 12H5M12 19l-7-7 7-7" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></svg> | |
| <span>بازگشت</span> | |
| </button> | |
| <button class="action-button retry-button" onclick="window.retryGeneration()"> | |
| <svg class="action-button-icon" viewbox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M23 4v6h-6M1 20v-6h6" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path><path d="M20.49 9A9 9 0 0 0 5.64 5.64L1 10m22 4l-4.64 4.36A9 9 0 0 1 3.51 15" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></svg> | |
| <span>تلاش مجدد</span> | |
| </button> | |
| </div> | |
| </div> | |
| </div> | |
| `; | |
| document.body.insertAdjacentHTML('beforeend', modalHtml); | |
| // Auto close after 10 seconds | |
| setTimeout(() => { | |
| window.closeErrorModal(); | |
| }, 10000); | |
| }; | |
| // ERROR SCANNER | |
| setInterval(() => { | |
| const potentialErrors = document.querySelectorAll('.toast-body, .error, .toast-wrap, .eta-bar, div[class*="error"]'); | |
| potentialErrors.forEach(el => { | |
| const text = el.innerText || ""; | |
| if (text.toLowerCase().includes('quota') || text.toLowerCase().includes('exceeded')) { | |
| showQuotaModal(); | |
| // Immediately hide the Gradio error | |
| el.style.display = 'none'; | |
| el.style.opacity = '0'; | |
| el.innerText = ''; | |
| const parentWrap = el.closest('.toast-wrap'); | |
| if(parentWrap) parentWrap.style.display = 'none'; | |
| } | |
| }); | |
| }, 100); | |
| // --------------------------------------------- | |
| // 3. Force Light Mode | |
| // --------------------------------------------- | |
| const forceLight = () => { | |
| const body = document.querySelector('body'); | |
| if (body) { | |
| body.classList.remove('dark'); | |
| body.style.backgroundColor = '#f5f7fa'; | |
| body.style.color = '#333333'; | |
| } | |
| document.querySelectorAll('.dark').forEach(el => el.classList.remove('dark')); | |
| }; | |
| forceLight(); | |
| setInterval(forceLight, 1000); | |
| }); | |
| </script> | |
| """ | |
| # --- CSS Updated --- | |
| css_code = """ | |
| <style> | |
| @import url('https://fonts.googleapis.com/css2?family=Vazirmatn:wght@300;400;500;700&display=swap'); | |
| :root, .dark, body, .gradio-container { | |
| --body-background-fill: #f5f7fa !important; | |
| --body-text-color: #1f2937 !important; | |
| --background-fill-primary: #ffffff !important; | |
| --background-fill-secondary: #f3f4f6 !important; | |
| --border-color-primary: #e5e7eb !important; | |
| --block-background-fill: #ffffff !important; | |
| --block-label-text-color: #374151 !important; | |
| --block-title-text-color: #111827 !important; | |
| --input-background-fill: #ffffff !important; | |
| color-scheme: light !important; | |
| font-family: 'Vazirmatn', sans-serif !important; | |
| } | |
| /* --- IP Reset Guide CSS (مودال) --- */ | |
| :root { | |
| --guide-bg: rgba(255, 255, 255, 0.98); | |
| --guide-border: rgba(102, 126, 234, 0.2); | |
| --guide-text-title: #2d3748; | |
| --guide-text-body: #4a5568; | |
| --guide-accent: #667eea; | |
| --primary-gradient-guide: linear-gradient(135deg, #667eea 0%, #764ba2 100%); | |
| --success-gradient-guide: linear-gradient(135deg, #56ab2f 0%, #a8e063 100%); | |
| --radius-md-guide: 12px; | |
| --radius-lg-guide: 16px; | |
| --shadow-sm: 0 1px 2px 0 rgba(26, 32, 44, 0.03); | |
| --shadow-md: 0 4px 6px -1px rgba(26, 32, 44, 0.05), 0 2px 4px -2px rgba(26, 32, 44, 0.04); | |
| --shadow-xl: 0 20px 25px -5px rgba(26, 32, 44, 0.07), 0 8px 10px -6px rgba(26, 32, 44, 0.05); | |
| } | |
| @keyframes float { | |
| 0%, 100% { transform: translateY(0px); } | |
| 50% { transform: translateY(-10px); } | |
| } | |
| @keyframes slideInUp { | |
| from { opacity: 0; transform: translateY(30px); } | |
| to { opacity: 1; transform: translateY(0); } | |
| } | |
| .ip-reset-guide-container { | |
| text-align: right; | |
| direction: rtl; | |
| background: var(--guide-bg); | |
| backdrop-filter: blur(10px); | |
| padding: 20px; | |
| border-radius: var(--radius-lg-guide); | |
| box-shadow: var(--shadow-xl); | |
| border: 1px solid var(--guide-border); | |
| animation: slideInUp 0.6s cubic-bezier(0.4, 0, 0.2, 1) both; | |
| width: 90%; | |
| max-width: 420px; | |
| max-height: 90vh; | |
| overflow-y: auto; | |
| position: relative; | |
| box-sizing: border-box; | |
| font-family: 'Vazirmatn', sans-serif !important; | |
| } | |
| .ip-reset-guide-container::before { | |
| content: ''; position: absolute; top: 0; left: 0; right: 0; height: 4px; background: var(--primary-gradient-guide); | |
| } | |
| .guide-header { display: flex; align-items: center; margin-bottom: 15px; } | |
| .guide-header-icon { width: 45px; height: 45px; margin-left: 15px; animation: float 3s ease-in-out infinite; flex-shrink: 0; } | |
| .guide-header h2 { font-size: 1.2rem; color: var(--guide-text-title); font-weight: 700; margin: 0; } | |
| .guide-header p { color: var(--guide-text-body); font-size: 0.8rem; margin-top: 3px; margin-bottom: 0; } | |
| .guide-content { font-size: 0.9rem; color: var(--guide-text-body); line-height: 1.6; } | |
| .info-card { background: linear-gradient(135deg, #667eea15 0%, #764ba215 100%); border: 1px solid rgba(102, 126, 234, 0.2); border-radius: var(--radius-md-guide); padding: 12px; margin: 12px 0; position: relative; overflow: hidden; } | |
| .info-card p { font-size: 0.85rem; line-height: 1.6; margin: 0; } | |
| .info-card::before { content: ''; position: absolute; top: 0; right: 0; width: 3px; height: 100%; background: var(--primary-gradient-guide); } | |
| .info-card-header { display: flex; align-items: center; margin-bottom: 8px; } | |
| .info-card-icon { width: 18px; height: 18px; margin-left: 8px; } | |
| .info-card-title { font-weight: 600; color: var(--guide-text-title); font-size: 0.95rem; } | |
| .summary-section { margin-top: 12px; padding: 12px; border-radius: var(--radius-md-guide); background: linear-gradient(135deg, #56ab2f15 0%, #a8e06315 100%); border: 1px solid rgba(86, 171, 47, 0.2); position: relative; overflow: hidden; } | |
| .summary-section::before { content: ''; position: absolute; top: 0; right: 0; width: 3px; height: 100%; background: var(--success-gradient-guide); } | |
| .summary-header { display: flex; align-items: center; margin-bottom: 8px; } | |
| .summary-icon { width: 18px; height: 18px; margin-left: 8px; } | |
| .summary-title { font-weight: 600; color: #2f5a33; font-size: 0.95rem; } | |
| .summary-text { color: #2f5a33; font-size: 0.85rem; line-height: 1.6; } | |
| .video-button-container { text-align: center; margin: 20px 0 15px 0; width: 100%; } | |
| .elegant-video-button { | |
| display: inline-flex !important; | |
| align-items: center; | |
| justify-content: center; | |
| padding: 10px 20px !important; | |
| background-color: #fff !important; | |
| color: var(--guide-accent) !important; | |
| border: 1px solid #e2e8f0 !important; | |
| text-decoration: none; | |
| border-radius: 50px !important; | |
| font-weight: 600 !important; | |
| font-size: 0.9rem !important; | |
| cursor: pointer !important; | |
| font-family: inherit; | |
| transition: all 0.3s ease !important; | |
| box-shadow: 0 2px 10px rgba(0,0,0,0.05) !important; | |
| width: auto !important; | |
| } | |
| .elegant-video-button:hover { | |
| background: var(--primary-gradient-guide) !important; | |
| color: white !important; | |
| border-color: transparent !important; | |
| transform: translateY(-2px); | |
| box-shadow: 0 6px 16px rgba(102, 126, 234, 0.3) !important; | |
| } | |
| .elegant-video-button-icon { width: 18px; height: 18px; margin-left: 8px; fill: currentColor; } | |
| .guide-actions { | |
| display: flex !important; | |
| gap: 12px !important; | |
| margin-top: 20px; | |
| padding-top: 20px; | |
| border-top: 1px solid #e2e8f0; | |
| width: 100% !important; | |
| } | |
| .action-button { | |
| padding: 12px 15px !important; | |
| border: none !important; | |
| border-radius: 12px !important; | |
| font-size: 0.95rem !important; | |
| font-weight: 600 !important; | |
| cursor: pointer !important; | |
| flex: 1 !important; | |
| transition: all 0.3s ease !important; | |
| display: flex !important; | |
| align-items: center; | |
| justify-content: center; | |
| font-family: inherit; | |
| height: 48px !important; | |
| } | |
| .action-button-icon { width: 20px; height: 20px; margin-right: 0; margin-left: 8px; } | |
| .back-button { | |
| background: white !important; | |
| color: var(--guide-text-body) !important; | |
| border: 2px solid #e2e8f0 !important; | |
| } | |
| .back-button:hover { | |
| background: #f7fafc !important; | |
| border-color: var(--guide-accent) !important; | |
| transform: translateY(-2px); | |
| box-shadow: var(--shadow-md) !important; | |
| } | |
| .retry-button { | |
| background: var(--primary-gradient-guide) !important; | |
| color: white !important; | |
| box-shadow: 0 4px 15px rgba(102, 126, 234, 0.3) !important; | |
| } | |
| .retry-button:hover { | |
| transform: translateY(-2px); | |
| box-shadow: 0 6px 20px rgba(102, 126, 234, 0.4) !important; | |
| } | |
| /* --- Main App CSS --- */ | |
| /* Hidden inputs logic */ | |
| #fingerprint_storage, #status_storage { | |
| display: none !important; | |
| } | |
| /* Badge Style */ | |
| #badge-container { | |
| text-align: center; | |
| margin-bottom: 30px; | |
| height: 30px; | |
| } | |
| #user-sub-badge { | |
| padding: 6px 16px; | |
| border-radius: 20px; | |
| font-size: 0.9em; | |
| color: white; | |
| margin-top: 10px; | |
| box-shadow: 0 4px 6px rgba(0,0,0,0.1); | |
| display: none; | |
| transition: all 0.3s ease; | |
| } | |
| body { margin: 0; padding: 10px; } | |
| #col-container { | |
| margin: 0 auto; | |
| max-width: 980px; | |
| direction: rtl; | |
| text-align: right; | |
| padding: 30px; | |
| background: #ffffff !important; | |
| border-radius: 24px; | |
| box-shadow: 0 10px 40px -10px rgba(0,0,0,0.08); | |
| border: 1px solid rgba(255,255,255,0.8); | |
| } | |
| #main-title h1 { | |
| font-size: 2.4em !important; | |
| text-align: center; | |
| color: #1a202c !important; | |
| margin-bottom: 15px; | |
| font-weight: 800; | |
| background: -webkit-linear-gradient(45deg, #2563eb, #1e40af); | |
| -webkit-background-clip: text; | |
| -webkit-text-fill-color: transparent; | |
| } | |
| #main-description { | |
| text-align: center; | |
| font-size: 1.15em; | |
| color: #4b5563 !important; | |
| margin-bottom: 40px; | |
| line-height: 1.6; | |
| } | |
| .gr-input-label, span.label-wrap, label span { | |
| font-weight: 700 !important; | |
| color: #374151 !important; | |
| font-size: 0.95em !important; | |
| margin-bottom: 8px !important; | |
| } | |
| textarea, input[type="text"] { | |
| border: 2px solid #e2e8f0 !important; | |
| border-radius: 12px !important; | |
| background-color: #ffffff !important; | |
| color: #111827 !important; | |
| padding: 12px !important; | |
| transition: all 0.3s ease; | |
| font-family: 'Vazirmatn', sans-serif !important; | |
| } | |
| textarea:focus, input[type="text"]:focus { | |
| border-color: #3b82f6 !important; | |
| box-shadow: 0 0 0 4px rgba(59, 130, 246, 0.1) !important; | |
| outline: none; | |
| } | |
| .gr-dropdown { | |
| background: #ffffff !important; | |
| border-radius: 12px !important; | |
| } | |
| /* Run Button */ | |
| .primary-btn, button.primary { | |
| background: linear-gradient(135deg, #10b981 0%, #059669 100%) !important; | |
| border: none !important; | |
| color: white !important; | |
| font-weight: 700 !important; | |
| font-size: 1.1em !important; | |
| padding: 14px 28px !important; | |
| border-radius: 14px !important; | |
| box-shadow: 0 4px 15px rgba(16, 185, 129, 0.3) !important; | |
| transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1) !important; | |
| cursor: pointer !important; | |
| width: 100%; | |
| margin-top: 15px; | |
| } | |
| .primary-btn:hover, button.primary:hover { | |
| transform: translateY(-2px); | |
| box-shadow: 0 8px 25px rgba(16, 185, 129, 0.45) !important; | |
| } | |
| /* Upgrade Button */ | |
| .upgrade-btn { | |
| background: linear-gradient(135deg, #f59e0b 0%, #d97706 100%) !important; | |
| border: none !important; | |
| color: white !important; | |
| font-weight: 700 !important; | |
| font-size: 1.1em !important; | |
| padding: 14px 28px !important; | |
| border-radius: 14px !important; | |
| box-shadow: 0 4px 15px rgba(245, 158, 11, 0.4) !important; | |
| transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1) !important; | |
| cursor: pointer !important; | |
| width: 100%; | |
| margin-top: 15px; | |
| animation: pulse 2s infinite; | |
| } | |
| .upgrade-btn:hover { | |
| transform: translateY(-2px); | |
| box-shadow: 0 8px 25px rgba(245, 158, 11, 0.5) !important; | |
| } | |
| @keyframes pulse { | |
| 0% { transform: scale(1); box-shadow: 0 0 0 0 rgba(245, 158, 11, 0.7); } | |
| 70% { transform: scale(1.02); box-shadow: 0 0 0 10px rgba(245, 158, 11, 0); } | |
| 100% { transform: scale(1); box-shadow: 0 0 0 0 rgba(245, 158, 11, 0); } | |
| } | |
| #download-btn { | |
| background: linear-gradient(135deg, #3b82f6 0%, #2563eb 100%) !important; | |
| box-shadow: 0 4px 15px rgba(59, 130, 246, 0.3) !important; | |
| } | |
| #download-btn:hover { | |
| box-shadow: 0 8px 25px rgba(59, 130, 246, 0.45) !important; | |
| } | |
| .gradio-container .prose table, | |
| .gradio-container table { | |
| background-color: #ffffff !important; | |
| color: #111827 !important; | |
| border: 1px solid #e5e7eb !important; | |
| border-radius: 12px !important; | |
| overflow: hidden !important; | |
| width: 100% !important; | |
| margin-top: 20px !important; | |
| } | |
| .gradio-container thead th { | |
| background-color: #f3f4f6 !important; | |
| color: #374151 !important; | |
| font-weight: 700 !important; | |
| border-bottom: 2px solid #e5e7eb !important; | |
| padding: 12px !important; | |
| text-align: right !important; | |
| } | |
| .gradio-container tbody tr { | |
| background-color: #ffffff !important; | |
| border-bottom: 1px solid #f3f4f6 !important; | |
| } | |
| .gradio-container tbody tr:hover { | |
| background-color: #f9fafb !important; | |
| } | |
| .gradio-container tbody td { | |
| background-color: #ffffff !important; | |
| color: #374151 !important; | |
| padding: 10px !important; | |
| } | |
| footer { display: none !important; } | |
| .flagging { display: none !important; } | |
| /* Force toast transparency for cleaner Custom Modal */ | |
| .toast-body { direction: rtl !important; text-align: right !important; background: transparent !important; box-shadow: none !important; border: none !important; padding: 0 !important; max-width: 100% !important; width: auto !important; } | |
| .toast-wrap { background: transparent !important; border: none !important; box-shadow: none !important; } | |
| @media (prefers-color-scheme: dark) { | |
| body, .gradio-container, .prose, table, tr, td, th { | |
| background-color: #ffffff !important; | |
| color: #333333 !important; | |
| } | |
| } | |
| </style> | |
| """ | |
| # ادغام CSS و JS | |
| combined_html = css_code + js_global_content | |
| # استفاده از gr.Blocks | |
| with gr.Blocks() as demo: | |
| # تزریق کدها به عنوان HTML | |
| gr.HTML(combined_html) | |
| # اینپوتهای مخفی برای انتقال دیتای کاربر از JS به Python | |
| fingerprint_box = gr.Textbox(elem_id="fingerprint_storage", visible=True) | |
| status_box_input = gr.Textbox(elem_id="status_storage", visible=True) | |
| with gr.Column(elem_id="col-container"): | |
| gr.Markdown("# **ویرایشگر هوشمند آلفا**", elem_id="main-title") | |
| gr.Markdown( | |
| "با هوش مصنوعی آلفا تصاویر تونو به مدل های مختلف ویرایش کنید.", | |
| elem_id="main-description" | |
| ) | |
| # محل قرارگیری بج (نشانگر) وضعیت اشتراک | |
| gr.HTML('<div id="badge-container"><span id="user-sub-badge"></span></div>') | |
| with gr.Row(equal_height=True): | |
| with gr.Column(): | |
| input_image = gr.Image(label="بارگذاری تصویر", type="pil", height=320) | |
| prompt = gr.Text( | |
| label="دستور ویرایش (به فارسی)", | |
| show_label=True, | |
| placeholder="مثال: تصویر را به سبک انیمه تبدیل کن...", | |
| rtl=True, | |
| lines=3 | |
| ) | |
| status_box = gr.HTML(label="وضعیت") | |
| # --- دکمهها --- | |
| # دکمه ساخت تصویر (پیشفرض نمایش) | |
| run_button = gr.Button("✨ شروع پردازش و ساخت تصویر", variant="primary", elem_classes="primary-btn", elem_id="run-btn", visible=True) | |
| # دکمه ارتقا (پیشفرض مخفی) | |
| upgrade_button = gr.Button("💎 خرید نسخه نامحدود (کلیک کنید)", variant="primary", elem_classes="upgrade-btn", elem_id="upgrade-btn", visible=False) | |
| with gr.Column(): | |
| output_image = gr.Image(label="تصویر نهایی", interactive=False, format="png", height=380) | |
| download_button = gr.Button("📥 دانلود و ذخیره تصویر", variant="secondary", elem_id="download-btn", elem_classes="primary-btn") | |
| with gr.Row(): | |
| lora_adapter = gr.Dropdown( | |
| label="انتخاب سبک ویرایش (LoRA)", | |
| choices=list(LORA_MAPPING.keys()), | |
| value="تبدیل عکس به انیمه" | |
| ) | |
| with gr.Accordion("تنظیمات پیشرفته", open=False, visible=True): | |
| aspect_ratio_selection = gr.Dropdown( | |
| label="ابعاد تصویر خروجی", | |
| choices=ASPECT_RATIOS_LIST, | |
| value="خودکار (پیشفرض)", | |
| interactive=True | |
| ) | |
| with gr.Row(visible=False) as custom_dims_row: | |
| custom_width = gr.Slider( | |
| label="عرض دلخواه (Width)", | |
| minimum=256, maximum=2048, step=8, value=1024 | |
| ) | |
| custom_height = gr.Slider( | |
| label="ارتفاع دلخواه (Height)", | |
| minimum=256, maximum=2048, step=8, value=1024 | |
| ) | |
| seed = gr.Slider(label="دانه تصادفی (Seed)", minimum=0, maximum=MAX_SEED, step=1, value=0) | |
| randomize_seed = gr.Checkbox(label="استفاده از Seed تصادفی", value=True) | |
| guidance_scale = gr.Slider(label="میزان وفاداری به متن (Guidance Scale)", minimum=1.0, maximum=10.0, step=0.1, value=1.0) | |
| steps = gr.Slider(label="تعداد مراحل پردازش (Steps)", minimum=1, maximum=50, step=1, value=4) | |
| # اصلاح تابع نمایش ردیف اسلایدرها | |
| def toggle_row(choice): | |
| if choice == "شخصیسازی (Custom)": | |
| return gr.update(visible=True) | |
| return gr.update(visible=False) | |
| aspect_ratio_selection.change( | |
| fn=toggle_row, | |
| inputs=aspect_ratio_selection, | |
| outputs=custom_dims_row | |
| ) | |
| gr.Examples( | |
| examples=[ | |
| ["examples/1.jpg", "تبدیل به انیمه کن.", "تبدیل عکس به انیمه"], | |
| ["examples/5.jpg", "سایهها را حذف کن و نورپردازی نرم به تصویر بده.", "اصلاح نور و سایه"], | |
| ["examples/4.jpg", "از فیلتر ساعت طلایی با پخش نور ملایم استفاده کن.", "نورپردازی مجدد (Relight)"], | |
| ["examples/2.jpeg", "دوربین را ۴۵ درجه به سمت چپ بچرخان.", "تغییر زاویه دید"], | |
| ["examples/7.jpg", "منبع نور را از سمت راست عقب قرار بده.", "نورپردازی چند زاویهای"], | |
| ["examples/10.jpeg", "کیفیت تصویر را افزایش بده (Upscale).", "افزایش کیفیت (Upscale)"], | |
| ["examples/7.jpg", "منبع نور را از پایین بتابان.", "نورپردازی چند زاویهای"], | |
| ["examples/2.jpeg", "زاویه دوربین را به نمای بالا گوشه راست تغییر بده.", "تغییر زاویه دید"], | |
| ["examples/9.jpg", "دوربین کمی به جلو حرکت میکند در حالی که نور خورشید از میان ابرها میتابد و درخششی نرم اطراف شبح شخصیت در مه ایجاد میکند. سبک سینمایی واقعی.", "صحنه بعدی (سینمایی)"], | |
| ["examples/8.jpg", "جزئیات پوست سوژه را برجستهتر و طبیعیتر کن.", "روتوش پوست"], | |
| ["examples/6.jpg", "دوربین را به نمای پایین به بالا تغییر بده.", "تغییر زاویه دید"], | |
| ], | |
| inputs=[input_image, prompt, lora_adapter], | |
| outputs=[output_image, seed, status_box], | |
| fn=infer_example, | |
| cache_examples=False, | |
| label="نمونهها (برای تست کلیک کنید)" | |
| ) | |
| # --- سیستم هوشمند: بررسی اعتبار در لحظه لود شدن --- | |
| fingerprint_box.change( | |
| fn=check_initial_quota, | |
| inputs=[fingerprint_box, status_box_input], | |
| outputs=[run_button, upgrade_button, status_box] | |
| ) | |
| # اجرای اصلی | |
| run_button.click( | |
| fn=infer, | |
| inputs=[ | |
| input_image, prompt, lora_adapter, seed, randomize_seed, | |
| guidance_scale, steps, aspect_ratio_selection, | |
| custom_width, custom_height, | |
| fingerprint_box, status_box_input | |
| ], | |
| outputs=[output_image, seed, status_box, run_button, upgrade_button], | |
| api_name="predict" | |
| ) | |
| # عملکرد دکمه ارتقا (فراخوانی JS) | |
| upgrade_button.click( | |
| fn=None, | |
| js=js_upgrade_func | |
| ) | |
| download_button.click( | |
| fn=None, | |
| inputs=[output_image], | |
| outputs=None, | |
| js=js_download_func | |
| ) | |
| if __name__ == "__main__": | |
| demo.queue(max_size=30).launch(show_error=True) |