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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)
output_path = "output.jpg"
normalized_output_path = normalize_output_path(source_path, target_path, output_path)
frame_processors = ["face_swapper", "face_enhancer"] if doFaceEnhancer else ["face_swapper"]
headless = True
keep_fps = True
keep_audio = True
keep_frames = False
many_faces = False
video_encoder = "libx264"
video_quality = 18
max_memory = "4G"
execution_providers = decode_execution_providers(["cuda"])
execution_threads = 4
reference_face_position = 0
similar_face_distance = 0.6
print(
"start process",
source_path,
target_path,
normalized_output_path,
)
for frame_processor in get_frame_processors_modules(frame_processors):
if not frame_processor.pre_check():
print(f"Pre-check failed for {frame_processor}")
return
roop.globals.source_path = source_path
roop.globals.target_path = target_path
roop.globals.output_path = normalized_output_path
roop.globals.frame_processors = frame_processors
roop.globals.headless = headless
roop.globals.keep_fps = keep_fps
roop.globals.keep_audio = keep_audio
roop.globals.keep_frames = keep_frames
roop.globals.many_faces = many_faces
roop.globals.video_encoder = video_encoder
roop.globals.video_quality = video_quality
roop.globals.max_memory = max_memory
roop.globals.execution_providers = execution_providers
roop.globals.execution_threads = execution_threads
roop.globals.reference_face_position = reference_face_position
roop.globals.similar_face_distance = similar_face_distance
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() |