Bot De Telegram Para Cambiar Caras En Videos Best Site

Create face_swapper.py:

import cv2
import insightface
import numpy as np
from PIL import Image
import tempfile
import os
import subprocess as sp
class FaceSwapper:
def init(self, gpu=True):
ctx_id = 0 if gpu else -1
self.face_analyzer = insightface.app.FaceAnalysis(name='buffalo_l')
self.face_analyzer.prepare(ctx_id=ctx_id, det_size=(640, 640))
self.swapper = insightface.model_zoo.get_model('inswapper_128.onnx')
self.swapper.prepare(ctx_id=ctx_id) bot de telegram para cambiar caras en videos best
def get_best_face(self, img):
    faces = self.face_analyzer.get(img)
    if len(faces) == 0:
        return None
    # return largest face by area
    return max(faces, key=lambda f: (f.bbox[2]-f.bbox[0])*(f.bbox[3]-f.bbox[1]))
def swap_video(self, video_path, source_face_img_path, output_path, target_face_idx=0):
    # read source face
    src_img = cv2.imread(source_face_img_path)
    src_face = self.get_best_face(src_img)
    if src_face is None:
        raise ValueError("No face found in source image")
# open video
    cap = cv2.VideoCapture(video_path)
    fps = cap.get(cv2.CAP_PROP_FPS)
    width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
    height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
# temp dir for frames
    temp_dir = tempfile.mkdtemp()
    frame_pattern = os.path.join(temp_dir, "frame_%06d.jpg")
# process frame by frame
    frame_count = 0
    while True:
        ret, frame = cap.read()
        if not ret:
            break
        faces = self.face_analyzer.get(frame)
        if len(faces) > target_face_idx:
            target_face = faces[target_face_idx]
            frame = self.swapper.get(frame, target_face, src_face, paste_back=True)
        cv2.imwrite(frame_pattern % frame_count, frame)
        frame_count += 1
    cap.release()
# rebuild video with ffmpeg
    cmd = [
        'ffmpeg', '-y', '-framerate', str(fps), '-i', frame_pattern,
        '-c:v', 'libx264', '-pix_fmt', 'yuv420p', output_path
    ]
    sp.run(cmd, stdout=sp.DEVNULL, stderr=sp.DEVNULL)
# cleanup
    for f in os.listdir(temp_dir):
        os.remove(os.path.join(temp_dir, f))
    os.rmdir(temp_dir)
    return output_path

Para que el bot sea considerado "el mejor", no puede usar librerías antiguas como face-swap de GitHub básicas. Debe integrar tecnologías modernas: Create face_swapper

Regardless of which "best" bot you choose, the workflow is similar. Here is a generic tutorial for cambiar caras en videos using Telegram: Para que el bot sea considerado "el mejor",

Step 1: Open Telegram and search for the bot username (e.g., @FaceSwapVideoBot). Step 2: Click "Start" or send /start. Step 3: Send the Target Video (the video where you want to change the face). Note: Keep the video under 30MB for best results. Step 4: Send the Source Face (the face you want to insert). This must be a clear, front-facing photo. Step 5: Wait. The bot will process the video. You will see a loading percentage. Step 6: The bot replies with the swapped video. Long-press the video to save it to your phone.