video-face-swap / app.py
fountai's picture
feat: test 1
c32b2a4
# -* coding:UTF-8 -*
# !/usr/bin/env python
import numpy as np
import roop.globals
from roop.core import (
start,
decode_execution_providers,
suggest_max_memory,
suggest_execution_threads,
)
from roop.processors.frame.core import get_frame_processors_modules
from roop.utilities import normalize_output_path
from PIL import Image
import gradio as gr
import os
def swap_face(source_file, target_file):
source_image = Image.fromarray(source_file)
source_path = "input.jpg"
source_image.save(source_path, format="JPEG", quality=95)
output_path = "output.mp4"
roop.globals.source_path = source_path
roop.globals.target_path = target_file
roop.globals.output_path = normalize_output_path(
roop.globals.source_path, roop.globals.target_path, output_path
)
roop.globals.frame_processors = ["face_swapper", "face_enhancer"]
roop.globals.headless = True
roop.globals.keep_fps = True
roop.globals.keep_audio = True
roop.globals.keep_frames = False
roop.globals.many_faces = False
roop.globals.video_encoder = "libx264"
roop.globals.video_quality = 50
roop.globals.max_memory = suggest_max_memory()
roop.globals.execution_providers = decode_execution_providers(["cpu"])
roop.globals.execution_threads = suggest_execution_threads()
for frame_processor in get_frame_processors_modules(
roop.globals.frame_processors
):
if not frame_processor.pre_check():
return
start()
return os.path.join(os.getcwd(), output_path)
app = gr.Interface(
fn=swap_face, inputs=[gr.Image(), gr.Video()], outputs=[gr.Video()], description="This model is running on CPU an might be slow."
)
app.launch()