face-swap / app.py
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# -* coding:UTF-8 -*
# !/usr/bin/env python
import numpy as np
import gradio as gr
import roop.globals
from roop.core import (
start,
decode_execution_providers,
)
from roop.processors.frame.core import get_frame_processors_modules
from roop.utilities import normalize_output_path
import os
from PIL import Image
import spaces
@spaces.GPU
def swap_face(source_file, target_file, doFaceEnhancer):
source_path = "input.jpg"
target_path = "target.jpg"
source_image = Image.fromarray(source_file)
source_image.save(source_path)
target_image = Image.fromarray(target_file)
target_image.save(target_path)
print("source_path: ", source_path)
print("target_path: ", target_path)
roop.globals.source_path = source_path
roop.globals.target_path = target_path
output_path = "output.jpg"
roop.globals.output_path = normalize_output_path(
roop.globals.source_path, roop.globals.target_path, output_path
)
if doFaceEnhancer:
roop.globals.frame_processors = ["face_swapper", "face_enhancer"]
else:
roop.globals.frame_processors = ["face_swapper"]
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 = 18
roop.globals.max_memory = "4G" # Sử dụng giá trị mặc định
roop.globals.execution_providers = decode_execution_providers(["cuda"])
roop.globals.execution_threads = 4 # Sử dụng giá trị mặc định
# Đảm bảo reference_face_position không phải là None
if roop.globals.reference_face_position is None:
roop.globals.reference_face_position = 0 # Hoặc một giá trị mặc định khác
# Đảm bảo similar_face_distance không phải là None
if roop.globals.similar_face_distance is None:
roop.globals.similar_face_distance = 0.6 # Hoặc một giá trị mặc định khác
print(
"start process",
roop.globals.source_path,
roop.globals.target_path,
roop.globals.output_path,
)
for frame_processor in get_frame_processors_modules(
roop.globals.frame_processors
):
if not frame_processor.pre_check():
print(f"Pre-check failed for {frame_processor}")
return
start()
return output_path
app = gr.Interface(
fn=swap_face,
inputs=[
gr.Image(),
gr.Image(),
gr.Checkbox(label="Face Enhancer?", info="Do face enhancement?")
],
outputs="image"
)
app.launch()