Delete ltxvideo.py
Browse files- ltxvideo.py +0 -309
ltxvideo.py
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import os
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import sys
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import json
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import base64
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import requests
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import random
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import time
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import io
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# ثبت زمان دقیق شروع اجرای اسکریپت
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start_time = time.time()
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# =========================================================
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# تنظیم زمان انتظار ارتباطی کلاینت به ۲۵۰ ثانیه جهت هماهنگی با تایمر ۱۰ دقیقهای رانر
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import httpx
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original_client_init = httpx.Client.__init__
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def patched_client_init(self, *args, **kwargs):
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kwargs['timeout'] = httpx.Timeout(250.0)
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original_client_init(self, *args, **kwargs)
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httpx.Client.__init__ = patched_client_init
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original_async_init = httpx.AsyncClient.__init__
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def patched_async_init(self, *args, **kwargs):
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kwargs['timeout'] = httpx.Timeout(250.0)
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original_async_init(self, *args, **kwargs)
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httpx.AsyncClient.__init__ = patched_async_init
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# =========================================================
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from gradio_client import Client, handle_file
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from PIL import Image
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raw_prompt = os.environ.get('PROMPT', '')
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run_id = os.environ.get('RUN_ID', '')
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space_url = os.environ.get('SPACE_URL', '')
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github_run_id = os.environ.get('GITHUB_RUN_ID', '')
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def report_failure(error_msg):
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try:
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requests.post(
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f"{space_url}/api/webhook/fail",
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json={
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"run_id": run_id,
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"error": error_msg,
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"event_type": "ltxvideo",
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"client_payload": {
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"prompt": raw_prompt,
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"run_id": run_id,
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"space_url": space_url
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},
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"github_run_id": github_run_id
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},
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timeout=15
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)
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except Exception:
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pass
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# بررسی و رمزگشایی متغیرهای ارسال شده
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if not raw_prompt.startswith("VOICECONFIG_LTX_"):
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err_str = "Error: Invalid LTX configuration payload."
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print(err_str)
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report_failure(err_str)
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sys.exit(1)
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try:
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encoded_data = raw_prompt[len("VOICECONFIG_LTX_"):]
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config = json.loads(base64.b64decode(encoded_data).decode('utf-8'))
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except Exception as e:
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err_str = f"Decode Error: {e}"
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print(err_str)
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report_failure(err_str)
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sys.exit(1)
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print(f"🚀 Starting LTX Video runner. Run ID: {run_id}")
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try:
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client = Client("Fighterdan/LTX-2.3-10Eros_I2V")
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except Exception as e:
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err_str = f"Failed to connect to Gradio Space: {e}"
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print(err_str)
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report_failure(err_str)
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sys.exit(1)
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# مدیریت دانلود تصویر با دو بار تلاش (جلوگیری از خطای تاخیر CDN یا ۴۰۴)
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image_url = config.get("image_path")
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local_img = "gen_input.png"
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download_success = False
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max_download_attempts = 5
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print("1. Downloading input image...")
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for dl_attempt in range(max_download_attempts):
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try:
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r = requests.get(image_url, timeout=45)
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if r.status_code == 200:
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# تایید سلامت فرمت تصویر و تبدیل به RGB خالص برای سازگاری با Gradio
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img_data = io.BytesIO(r.content)
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img = Image.open(img_data)
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img.verify()
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img_data.seek(0)
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clean_img = Image.open(img_data).convert('RGB')
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clean_img.save(local_img, format='PNG')
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download_success = True
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print(" -> Image successfully downloaded and verified.")
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break
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else:
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print(f" -> Download attempt {dl_attempt + 1} failed with status: {r.status_code}")
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except Exception as e:
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print(f" -> Download attempt {dl_attempt + 1} connection failed: {e}")
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if dl_attempt < max_download_attempts - 1:
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print(" -> Waiting 8 seconds before retrying image download...")
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time.sleep(8.0)
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if not download_success:
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err_str = "Failed to download or verify input image after multiple attempts."
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print(err_str)
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report_failure(err_str)
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sys.exit(1)
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# پیکربندی پارامترهای اصلی ساخت ویدیو
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base_seed = int(config.get("seed", -1))
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seconds = float(config.get("seconds", 5.0))
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prompt = config.get("prompt", "")
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print(f"🎬 Generation configurations - Duration: {seconds}s")
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video_path = None
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max_attempts = 4
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# حلقه تلاش مجدد داخلی برای ساخت ویدیو
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for attempt in range(max_attempts):
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# پایش هوشمند زمان سپری شده: اگر بیش از ۵۱۰ ثانیه (۸.۵ دقیقه) گذشته باشد، کار متوقف شده تا درخواست جدیدی صادر شود
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elapsed_time = time.time() - start_time
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if elapsed_time > 510.0:
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print(f"⏳ WARNING: Elapsed time is {elapsed_time:.1f}s. Approaching 10-minute limit.")
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print("Aborting current runner execution to request a fresh, brand-new GitHub Action run.")
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report_failure("Runner execution time exceeded safe 10-minute limits. Initiating auto-retry on a fresh runner.")
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sys.exit(1)
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# تنظیم سید پردازش
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seed = base_seed
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if seed == -1:
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seed = random.randint(1, 2147483647)
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print(f" -> Generation Attempt {attempt + 1} of {max_attempts} with Seed: {seed}...")
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try:
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result = client.predict(
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image_path=handle_file(local_img),
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prompt=prompt,
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negative_prompt="captions, music, transition, bad quality, subtitles, text, watermark, cartoon, ugly, blur, static, noise, mutant, horror",
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seconds=seconds,
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preset="tuned",
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seed=seed,
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randomize_seed=False,
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max_width=1120,
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max_height=1344,
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target_mp=1.15,
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snap_multiple=64,
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custom_res_enabled=False,
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mode="anchor only",
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face_bbox="",
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likeness_strength=0.9,
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likeness_anchor_strength=0.15,
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latent_anchor_strength=0.08,
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first_frame_strength=0.82,
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sulphur_lora_strength=0.15,
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sulphur_v1_lora_strength=0.15,
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vbvr_lora_strength=0.5,
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dreamly_lora_strength=0.6,
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synth_lora_strength=0.0,
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plora_lora_strength=0.0,
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singularity_lora_strength=0.3,
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omninft_lora_strength=0.8,
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omninft_bf16_lora_strength=0.0,
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better_motion_lora_strength=0.0,
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physics_v2_lora_strength=0.0,
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hardcut_lora_strength=0.0,
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transition_lora_strength=0.15,
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sulphur_audio_strength=0.15,
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sulphur_v1_audio_strength=0.15,
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vbvr_audio_strength=0.5,
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dreamly_audio_strength=0.6,
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synth_audio_strength=0.0,
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plora_audio_strength=0.0,
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singularity_audio_strength=0.3,
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omninft_audio_strength=0.8,
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omninft_bf16_audio_strength=0.0,
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better_motion_audio_strength=0.0,
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physics_v2_audio_strength=0.0,
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hardcut_audio_strength=0.0,
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transition_audio_strength=0.0,
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cache_at_step=0,
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cache_warmup=400,
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energy_threshold=0.3,
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anchor_similarity_threshold=0.3,
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sigma_string="0.4824, 0.2412, 0.0",
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skip_refine=False,
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gen_budget=0,
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profile_name="",
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input_mode="single image (i2v)",
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msr_ref2=None,
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msr_ref3=None,
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msr_ref4=None,
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msr_background=None,
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msr_frame_count=41,
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msr_guide_strength=1.0,
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msr_lora_strength=0.7,
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prompt_relay_enabled=False,
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prompt_segments="",
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scene_chain_enabled=False,
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scene_chain_prompt="",
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scene_chain_max_scenes=2,
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scene_chain_frame_overlap=8,
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scene_chain_mid_guide=True,
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scene_chain_mid_guide_strength=0.25,
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kv_enabled=False,
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kv_strength=1.0,
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audio_ref_enabled=False,
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audio_ref_file=None,
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audio_ref_guidance_scale=3.0,
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audio_ref_stem_sep=False,
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audio_ref_normalize=True,
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kf_strength=0.82,
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kf_last_image=None,
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kf_mid_enabled=False,
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kf_mid_1_image=None,
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kf_mid_1_pos=50,
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kf_mid_2_image=None,
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kf_mid_2_pos=50,
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kf_mid_3_image=None,
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kf_mid_3_pos=50,
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kf_mid_4_image=None,
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kf_mid_4_pos=50,
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kf_mid_5_image=None,
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kf_mid_5_pos=50,
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api_name="/generate"
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)
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# استخراج مسیر فایل ویدیو خروجی
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if isinstance(result, (tuple, list)):
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video_data = result[0]
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else:
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video_data = result
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if isinstance(video_data, dict):
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video_path = video_data.get('video') or video_data.get('path')
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else:
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video_path = str(video_data)
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if video_path and os.path.exists(video_path):
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print(" -> Success! Video file created successfully.")
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break
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except Exception as e:
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err_msg = str(e)
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print(f" -> Failed on attempt {attempt + 1}: {err_msg}")
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# شناسایی فوری محدودیت سهمیه هوش مصنوعی و خروج جهت سوئیچ اکانت گیتهاب توسط سرور اصلی
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if 'ZeroGPU quota' in err_msg or 'quota' in err_msg.lower():
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print(" -> ZeroGPU quota hit. Aborting internal attempts to switch GitHub accounts.")
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report_failure(err_msg)
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| 263 |
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sys.exit(1)
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| 264 |
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| 265 |
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if attempt < max_attempts - 1:
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print(" -> Waiting 5 seconds before next internal attempt...")
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time.sleep(5.0)
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| 269 |
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if not video_path or not os.path.exists(video_path):
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err_str = "Failed to generate video after all internal retry attempts."
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print(f"CRITICAL ERROR: {err_str}")
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report_failure(err_str)
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sys.exit(1)
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# فرآیند آپلود فایل و ثبت فرادادهها به سرور فلاسک
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| 276 |
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print("Uploading video back to space...")
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ext = 'mp4'
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if video_path.endswith('.webm'):
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ext = 'webm'
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| 280 |
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| 281 |
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try:
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| 282 |
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with open(video_path, 'rb') as f:
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| 283 |
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requests.post(
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f"{space_url}/api/webhook/upload",
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data={'run_id': run_id, 'github_run_id': github_run_id, 'ext': ext},
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| 286 |
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files={'file': f},
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timeout=60
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)
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| 289 |
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| 290 |
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print("Uploading Seed Metadata...")
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| 291 |
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meta_data = {"seed": seed}
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| 292 |
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with open("meta.json", "w", encoding="utf-8") as mf:
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json.dump(meta_data, mf)
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| 294 |
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| 295 |
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with open("meta.json", "rb") as mf:
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| 296 |
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requests.post(
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f"{space_url}/api/webhook/upload",
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| 298 |
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data={'run_id': f"{run_id}_meta", 'github_run_id': github_run_id, 'ext': 'json'},
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files={'file': mf},
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timeout=30
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)
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| 302 |
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| 303 |
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print("✅ SUCCESS!")
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| 304 |
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| 305 |
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except Exception as up_err:
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| 306 |
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err_str = f"Upload to main server failed: {up_err}"
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| 307 |
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print(err_str)
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| 308 |
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report_failure(err_str)
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| 309 |
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sys.exit(1)
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