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import numpy as np
import gradio as gr
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
import os
from PIL import Image
def swap_face(source_file, target_file, target_type, doFaceEnhancer):
source_path = "input.jpg"
target_path = "target"
# Handle source image
source_image = Image.fromarray(source_file)
source_image.save(source_path)
if target_type == "Image":
target_image = Image.fromarray(target_file)
target_path += ".jpg"
target_image.save(target_path)
elif target_type == "Video":
target_path += ".mp4"
os.rename(target_file, target_path)
else:
raise ValueError("Unsupported target type.")
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"
if target_path.endswith(".mp4"):
output_path += ".mp4"
else:
output_path += ".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 = suggest_max_memory()
roop.globals.execution_providers = decode_execution_providers(["cuda"])
roop.globals.execution_threads = suggest_execution_threads()
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():
return
start()
return output_path
def get_target_input(target_type):
if target_type == "Image":
return gr.Image()
elif target_type == "Video":
return gr.Video()
else:
return None
app = gr.Interface(
fn=swap_face,
inputs=[
gr.Image(),
gr.Radio(["Image", "Video"], label="Target Type"),
gr.State(),
gr.Checkbox(label="face_enhancer?", info="do face enhancer?")
],
outputs="auto",
live=True
)
def update_target_input(target_type):
return gr.update(inputs=[gr.Image(), get_target_input(target_type), gr.Checkbox(label="face_enhancer?", info="do face enhancer?")])
app.launch() |