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Download create_task.py from IAGeneral/vidu: direct link, hf CLI and curl.
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https://huggingface.co/spaces/IAGeneral/vidu/resolve/main/create_task.py
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curl -L -o create_task.py https://huggingface.co/spaces/IAGeneral/vidu/resolve/main/create_task.py
4.77 kB
| import requests | |
| import uuid | |
| import json | |
| import argparse # Para manejar los argumentos de la línea de comandos | |
| def create_task(promptx, content_id, jwt_token, enhance, model): | |
| url = "https://api.vidu.studio/vidu/v1/tasks" | |
| headers = { | |
| "Connection": "keep-alive", | |
| "sec-ch-ua": '"Chromium";v="128", "Not;A=Brand";v="24", "Google Chrome";v="128"', | |
| "Accept-Language": "en", | |
| "sec-ch-ua-mobile": "?0", | |
| "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36", | |
| "content-type": "application/json", | |
| "X-Request-Id": str(uuid.uuid4()), | |
| "sec-ch-ua-platform": '"Windows"', | |
| "Accept": "*/*", | |
| "Origin": "https://www.vidu.studio", | |
| "Sec-Fetch-Site": "same-site", | |
| "Sec-Fetch-Mode": "cors", | |
| "Sec-Fetch-Dest": "empty", | |
| "Referer": "https://www.vidu.studio/", | |
| "Cookie": f"sajssdk_2015_cross_new_user=1; _ga=GA1.1.77204265.1725572952; amp_af43d4=61603120ab0445398cd1cb92fd88aef0...1i727srs7.1i727ujms.6.1.7; JWT={jwt_token}; Shunt=; sensorsdata2015jssdkcross=dfm-enc-%7B%22Va28a6y8_aV%22%3A%22sSEGIEItsRRRsHGE%22%2C%22gae28_aV%22%3A%22EGEySsGigsIHGA-AsSSHnIgEEySVVs-snAAEEHE-EsGnAAA-EGEySsGigsSisH%22%2C%22OemO2%22%3A%7B%22%24ki8r28_8eiggay_2mbeyr_8cOr%22%3A%22%E7%9B%B4%E6%8E%A5%E6%B5%81%E9%87%8F%22%2C%22%24ki8r28_2rieyz_lrcMmeV%22%3A%22%E6%9C%AA%E5%8F%96%E5%88%B0%E5%80%BC_%E7%9B%B4%E6%8E%A5%E6%89%93%E5%BC%80%22%2C%22%24ki8r28_ergreere%22%3A%22%22%7D%2C%22aVr68a8ar2%22%3A%22rc3liZ7ku67OV5kgPsGCiskkDskl3qmawFlJPhNcpZTowqwEpF08wX3AQXKswsPJwZwAW9NcBF3swX0JwFKJBF1cpFPMwX08wFlJPhNcpZTowq7zwqKaBv3liZ7ku67OV5kgu9G6iZHgiZNapa3cQX1Hwh1hpX3IQhycQFlJ36A%3D%22%2C%22za28mec_kmfa6_aV%22%3A%7B%226ior%22%3A%22%24aVr68a8c_kmfa6_aV%22%2C%22Cikbr%22%3A%22sSEGIEItsRRRsHGE%22%7D%7D; _ga_ZJBV7VYP55=GS1.1.1725576214.2.1.1725578996.0.0.0", | |
| "Accept-Encoding": "gzip, deflate" | |
| } | |
| payload = { | |
| "input": { | |
| "prompts": [ | |
| {"type": "text", "content": f"{promptx}"}, | |
| {"type": "image", "content": f"ssupload:?id={content_id}", "src_img": f"ssupload:?id={content_id}"} | |
| ], | |
| "enhance": enhance | |
| }, | |
| "type": "img2video", | |
| "settings": { | |
| "duration": 4, | |
| "model": model | |
| } | |
| } | |
| response = requests.post(url, headers=headers, json=payload) | |
| response_json = response.json() | |
| task_id = response_json.get('id', 'ID no encontrado') | |
| return task_id | |
| def read_file_info(file_path): | |
| try: | |
| with open(file_path, "r") as file: | |
| lines = file.readlines() | |
| if len(lines) >= 1: | |
| file_id = lines[0].strip().split(': ')[1] | |
| return file_id | |
| else: | |
| print("File does not contain enough lines.") | |
| except FileNotFoundError: | |
| print(f"File not found: {file_path}") | |
| except IOError as e: | |
| print(f"Error reading file: {e}") | |
| def read_jwt_token(file_path): | |
| try: | |
| with open(file_path, "r") as file: | |
| token = file.readline().strip() | |
| return token | |
| except FileNotFoundError: | |
| print(f"File not found: {file_path}") | |
| except IOError as e: | |
| print(f"Error reading file: {e}") | |
| def save_task_id(file_path, task_id): | |
| try: | |
| with open(file_path, "w") as file: | |
| file.write(f"task_id: {task_id}") | |
| except IOError as e: | |
| print(f"Error writing file: {e}") | |
| def main(): | |
| parser = argparse.ArgumentParser(description='Script para crear una tarea con un prompt dado.') | |
| parser.add_argument('--prompt', type=str, required=True, help='Prompt a utilizar') | |
| parser.add_argument('--enhance', type=bool, default=True, help='Habilitar mejora (True o False)') | |
| parser.add_argument('--model', type=str, required=True, help='Modelo a usar (vidu-1 o vidu-high-performance)') | |
| args = parser.parse_args() | |
| file_info_path = "/tmp/file_info.txt" # Ruta al archivo que contiene file_id | |
| jwt_token_path = "/tmp/jwt_token.txt" # Ruta al archivo que contiene el jwt_token | |
| task_id_path = "/tmp/task_id.txt" # Ruta al archivo donde se guardará el task_id | |
| file_id = read_file_info(file_info_path) | |
| jwt_token = read_jwt_token(jwt_token_path) | |
| if file_id and jwt_token: | |
| try: | |
| task_id = create_task(args.prompt, file_id, jwt_token, enhance=args.enhance, model=args.model) | |
| #print(f"El ID de la tarea es: {task_id}") | |
| save_task_id(task_id_path, task_id) | |
| except Exception as e: | |
| print(e) | |
| if __name__ == "__main__": | |
| main() | |