Bot De Telegram Para Cambiar Caras En Videos Work (2026)
User → Telegram Bot (Handler) → Task Queue (Redis/RQ) → Worker (GPU) → Model Inference → Upload result → User
This report outlines the functionality, current market options, and critical considerations for Telegram bots designed to perform AI face-swapping in videos. bot de telegram para cambiar caras en videos work
FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime RUN apt update && apt install -y ffmpeg COPY requirements.txt . RUN pip install insightface opencv-python python-telegram-bot redis rq COPY . /app WORKDIR /app CMD python bot.py & rq worker face-swap User → Telegram Bot (Handler) → Task Queue
The rapid evolution of deepfake technologies and computer vision has made face swapping in videos widely accessible. However, most existing solutions require powerful hardware, manual video editing skills, or complex installations. This paper presents the design and implementation of a Telegram bot that allows users to upload a video and a source face image, and receive a face-swapped version of the video — all within the Telegram messaging platform. The bot leverages pre-trained deep learning models (InsightFace, GFPGAN, or similar) and asynchronous task queuing to handle multiple user requests efficiently. Performance analysis shows that the bot can process short videos (≤30 seconds, 480p) within 2–5 minutes on a mid-range GPU, with acceptable visual quality. The bot addresses use cases in entertainment, education, and creative content generation while incorporating ethical safeguards against misuse. /app WORKDIR /app CMD python bot
| Constraint | Solution | |------------|----------| | 50MB file upload limit | Compress video to 480p, H.264, CRF 28 | | 20MB download limit (some clients) | Split video into chunks + send as document | | 5-minute processing timeout | Use async queues (Redis + Celery) | | No background tasks by default | Use python-telegram-bot ’s JobQueue or webhooks + worker |
/start y luego Upload video > Upload face > Process .
