diff --git a/LICENSE b/LICENSE
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+++ b/LICENSE
@@ -0,0 +1,674 @@
+ GNU GENERAL PUBLIC LICENSE
+ Version 3, 29 June 2007
+
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+ If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+ END OF TERMS AND CONDITIONS
+
+ How to Apply These Terms to Your New Programs
+
+ If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+ To do so, attach the following notices to the program. It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+
+ Copyright (C)
+
+ This program is free software: you can redistribute it and/or modify
+ it under the terms of the GNU General Public License as published by
+ the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ This program is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU General Public License for more details.
+
+ You should have received a copy of the GNU General Public License
+ along with this program. If not, see .
+
+Also add information on how to contact you by electronic and paper mail.
+
+ If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
+
+ Copyright (C)
+ This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+ This is free software, and you are welcome to redistribute it
+ under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License. Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+ You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+.
+
+ The GNU General Public License does not permit incorporating your program
+into proprietary programs. If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
+the library. If this is what you want to do, use the GNU Lesser General
+Public License instead of this License. But first, please read
+.
diff --git a/app.py b/app.py
new file mode 100644
index 0000000000000000000000000000000000000000..0ff1c309071d3342e8552175506c767f4eef84b8
--- /dev/null
+++ b/app.py
@@ -0,0 +1,73 @@
+# -* 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,
+ 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,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 == True:
+ 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 = 16
+ roop.globals.reference_face_position = 0
+ roop.globals.similar_face_distance = 0.85
+ roop.globals.execution_providers = decode_execution_providers(['cpu'])
+ 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
+
+
+app = gr.Interface(
+ fn=swap_face, inputs=[gr.Image(), gr.Image(),gr.Checkbox(label="face_enhancer?", info="do face enhancer?")], outputs="image"
+)
+app.launch()
\ No newline at end of file
diff --git a/models/GFPGANv1.4.pth b/models/GFPGANv1.4.pth
new file mode 100644
index 0000000000000000000000000000000000000000..afedb5c7e826056840c9cc183f2c6f0186fd17ba
--- /dev/null
+++ b/models/GFPGANv1.4.pth
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e2cd4703ab14f4d01fd1383a8a8b266f9a5833dacee8e6a79d3bf21a1b6be5ad
+size 348632874
diff --git a/models/inswapper_128.onnx b/models/inswapper_128.onnx
new file mode 100644
index 0000000000000000000000000000000000000000..cb672b799d74fdf7ab8b172a1b1d78411f6400f5
--- /dev/null
+++ b/models/inswapper_128.onnx
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4a3f08c753cb72d04e10aa0f7dbe3deebbf39567d4ead6dce08e98aa49e16af
+size 554253681
diff --git a/mypy.ini b/mypy.ini
new file mode 100644
index 0000000000000000000000000000000000000000..64218bc23688632a08c98ec4a0451ed46f8ed5e5
--- /dev/null
+++ b/mypy.ini
@@ -0,0 +1,7 @@
+[mypy]
+check_untyped_defs = True
+disallow_any_generics = True
+disallow_untyped_calls = True
+disallow_untyped_defs = True
+ignore_missing_imports = True
+strict_optional = False
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9f289fda318373ab1dc26ade4ff1704bf6ae13e6
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,21 @@
+--extra-index-url https://download.pytorch.org/whl/cu118
+
+numpy==1.24.3
+opencv-python==4.8.0.74
+onnx==1.14.0
+insightface==0.7.3
+psutil==5.9.5
+tk==0.1.0
+customtkinter==5.2.0
+tkinterdnd2==0.3.0; sys_platform != 'darwin' and platform_machine != 'arm64'
+tkinterdnd2-universal==1.7.3; sys_platform == 'darwin' and platform_machine == 'arm64'
+pillow==10.0.0
+onnxruntime==1.15.1; python_version != '3.9' and sys_platform == 'darwin' and platform_machine != 'arm64'
+onnxruntime-coreml==1.13.1; python_version == '3.9' and sys_platform == 'darwin' and platform_machine != 'arm64'
+onnxruntime-silicon==1.13.1; sys_platform == 'darwin' and platform_machine == 'arm64'
+onnxruntime-gpu==1.15.1; sys_platform != 'darwin'
+tensorflow==2.13.0
+opennsfw2==0.10.2
+protobuf==4.23.4
+tqdm==4.65.0
+gfpgan==1.3.8
diff --git a/roop/.ipynb_checkpoints/core-checkpoint.py b/roop/.ipynb_checkpoints/core-checkpoint.py
new file mode 100644
index 0000000000000000000000000000000000000000..e6c54708b71ab5ab6affc512a25e52c46de683fa
--- /dev/null
+++ b/roop/.ipynb_checkpoints/core-checkpoint.py
@@ -0,0 +1,220 @@
+#!/usr/bin/env python3
+
+import os
+import sys
+# single thread doubles cuda performance - needs to be set before torch import
+if any(arg.startswith('--execution-provider') for arg in sys.argv):
+ os.environ['OMP_NUM_THREADS'] = '1'
+# reduce tensorflow log level
+os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
+import warnings
+from typing import List
+import platform
+import signal
+import shutil
+import argparse
+import onnxruntime
+import tensorflow
+import roop.globals
+import roop.metadata
+import roop.ui as ui
+from roop.predictor import predict_image, predict_video
+from roop.processors.frame.core import get_frame_processors_modules
+from roop.utilities import has_image_extension, is_image, is_video, detect_fps, create_video, extract_frames, get_temp_frame_paths, restore_audio, create_temp, move_temp, clean_temp, normalize_output_path
+
+warnings.filterwarnings('ignore', category=FutureWarning, module='insightface')
+warnings.filterwarnings('ignore', category=UserWarning, module='torchvision')
+
+
+def parse_args() -> None:
+ signal.signal(signal.SIGINT, lambda signal_number, frame: destroy())
+ program = argparse.ArgumentParser(formatter_class=lambda prog: argparse.HelpFormatter(prog, max_help_position=100))
+ program.add_argument('-s', '--source', help='select an source image', dest='source_path')
+ program.add_argument('-t', '--target', help='select an target image or video', dest='target_path')
+ program.add_argument('-o', '--output', help='select output file or directory', dest='output_path')
+ program.add_argument('--frame-processor', help='frame processors (choices: face_swapper, face_enhancer, ...)', dest='frame_processor', default=['face_swapper'], nargs='+')
+ program.add_argument('--keep-fps', help='keep target fps', dest='keep_fps', action='store_true')
+ program.add_argument('--keep-frames', help='keep temporary frames', dest='keep_frames', action='store_true')
+ program.add_argument('--skip-audio', help='skip target audio', dest='skip_audio', action='store_true')
+ program.add_argument('--many-faces', help='process every face', dest='many_faces', action='store_true')
+ program.add_argument('--reference-face-position', help='position of the reference face', dest='reference_face_position', type=int, default=0)
+ program.add_argument('--reference-frame-number', help='number of the reference frame', dest='reference_frame_number', type=int, default=0)
+ program.add_argument('--similar-face-distance', help='face distance used for recognition', dest='similar_face_distance', type=float, default=0.85)
+ program.add_argument('--temp-frame-format', help='image format used for frame extraction', dest='temp_frame_format', default='png', choices=['jpg', 'png'])
+ program.add_argument('--temp-frame-quality', help='image quality used for frame extraction', dest='temp_frame_quality', type=int, default=0, choices=range(101), metavar='[0-100]')
+ program.add_argument('--output-video-encoder', help='encoder used for the output video', dest='output_video_encoder', default='libx264', choices=['libx264', 'libx265', 'libvpx-vp9', 'h264_nvenc', 'hevc_nvenc'])
+ program.add_argument('--output-video-quality', help='quality used for the output video', dest='output_video_quality', type=int, default=35, choices=range(101), metavar='[0-100]')
+ program.add_argument('--max-memory', help='maximum amount of RAM in GB', dest='max_memory', type=int)
+ program.add_argument('--execution-provider', help='available execution provider (choices: cpu, ...)', dest='execution_provider', default=['cpu'], choices=suggest_execution_providers(), nargs='+')
+ program.add_argument('--execution-threads', help='number of execution threads', dest='execution_threads', type=int, default=suggest_execution_threads())
+ program.add_argument('-v', '--version', action='version', version=f'{roop.metadata.name} {roop.metadata.version}')
+
+ args = program.parse_args()
+
+ roop.globals.source_path = args.source_path
+ roop.globals.target_path = args.target_path
+ roop.globals.output_path = normalize_output_path(roop.globals.source_path, roop.globals.target_path, args.output_path)
+ roop.globals.headless = roop.globals.source_path is not None and roop.globals.target_path is not None and roop.globals.output_path is not None
+ roop.globals.frame_processors = args.frame_processor
+ roop.globals.keep_fps = args.keep_fps
+ roop.globals.keep_frames = args.keep_frames
+ roop.globals.skip_audio = args.skip_audio
+ roop.globals.many_faces = args.many_faces
+ roop.globals.reference_face_position = args.reference_face_position
+ roop.globals.reference_frame_number = args.reference_frame_number
+ roop.globals.similar_face_distance = args.similar_face_distance
+ roop.globals.temp_frame_format = args.temp_frame_format
+ roop.globals.temp_frame_quality = args.temp_frame_quality
+ roop.globals.output_video_encoder = args.output_video_encoder
+ roop.globals.output_video_quality = args.output_video_quality
+ roop.globals.max_memory = args.max_memory
+ roop.globals.execution_providers = decode_execution_providers(args.execution_provider)
+ roop.globals.execution_threads = args.execution_threads
+
+
+def encode_execution_providers(execution_providers: List[str]) -> List[str]:
+ return [execution_provider.replace('ExecutionProvider', '').lower() for execution_provider in execution_providers]
+
+
+def decode_execution_providers(execution_providers: List[str]) -> List[str]:
+ return [provider for provider, encoded_execution_provider in zip(onnxruntime.get_available_providers(), encode_execution_providers(onnxruntime.get_available_providers()))
+ if any(execution_provider in encoded_execution_provider for execution_provider in execution_providers)]
+
+
+def suggest_execution_providers() -> List[str]:
+ return encode_execution_providers(onnxruntime.get_available_providers())
+
+
+def suggest_execution_threads() -> int:
+ if 'CUDAExecutionProvider' in onnxruntime.get_available_providers():
+ return 8
+ return 1
+
+
+def limit_resources() -> None:
+ # prevent tensorflow memory leak
+ gpus = tensorflow.config.experimental.list_physical_devices('GPU')
+ for gpu in gpus:
+ tensorflow.config.experimental.set_virtual_device_configuration(gpu, [
+ tensorflow.config.experimental.VirtualDeviceConfiguration(memory_limit=1024)
+ ])
+ # limit memory usage
+ if roop.globals.max_memory:
+ memory = roop.globals.max_memory * 1024 ** 3
+ if platform.system().lower() == 'darwin':
+ memory = roop.globals.max_memory * 1024 ** 6
+ if platform.system().lower() == 'windows':
+ import ctypes
+ kernel32 = ctypes.windll.kernel32 # type: ignore[attr-defined]
+ kernel32.SetProcessWorkingSetSize(-1, ctypes.c_size_t(memory), ctypes.c_size_t(memory))
+ else:
+ import resource
+ resource.setrlimit(resource.RLIMIT_DATA, (memory, memory))
+
+
+def pre_check() -> bool:
+ if sys.version_info < (3, 9):
+ update_status('Python version is not supported - please upgrade to 3.9 or higher.')
+ return False
+ # if not shutil.which('ffmpeg'):
+ # update_status('ffmpeg is not installed.')
+ # return False
+ return True
+
+
+def update_status(message: str, scope: str = 'ROOP.CORE') -> None:
+ print(f'[{scope}] {message}')
+ if not roop.globals.headless:
+ ui.update_status(message)
+
+
+def start() -> None:
+ for frame_processor in get_frame_processors_modules(roop.globals.frame_processors):
+ if not frame_processor.pre_start():
+ return
+ # process image to image
+ if has_image_extension(roop.globals.target_path):
+ if predict_image(roop.globals.target_path):
+ destroy()
+ shutil.copy2(roop.globals.target_path, roop.globals.output_path)
+ # process frame
+ for frame_processor in get_frame_processors_modules(roop.globals.frame_processors):
+ update_status('Progressing...', frame_processor.NAME)
+ frame_processor.process_image(roop.globals.source_path, roop.globals.output_path, roop.globals.output_path)
+ frame_processor.post_process()
+ # validate image
+ if is_image(roop.globals.target_path):
+ update_status('Processing to image succeed!')
+ else:
+ update_status('Processing to image failed!')
+ return
+ # process image to videos
+ if predict_video(roop.globals.target_path):
+ destroy()
+ update_status('Creating temporary resources...')
+ create_temp(roop.globals.target_path)
+ # extract frames
+ if roop.globals.keep_fps:
+ fps = detect_fps(roop.globals.target_path)
+ update_status(f'Extracting frames with {fps} FPS...')
+ extract_frames(roop.globals.target_path, fps)
+ else:
+ update_status('Extracting frames with 30 FPS...')
+ extract_frames(roop.globals.target_path)
+ # process frame
+ temp_frame_paths = get_temp_frame_paths(roop.globals.target_path)
+ if temp_frame_paths:
+ for frame_processor in get_frame_processors_modules(roop.globals.frame_processors):
+ update_status('Progressing...', frame_processor.NAME)
+ frame_processor.process_video(roop.globals.source_path, temp_frame_paths)
+ frame_processor.post_process()
+ else:
+ update_status('Frames not found...')
+ return
+ # create video
+ if roop.globals.keep_fps:
+ fps = detect_fps(roop.globals.target_path)
+ update_status(f'Creating video with {fps} FPS...')
+ create_video(roop.globals.target_path, fps)
+ else:
+ update_status('Creating video with 30 FPS...')
+ create_video(roop.globals.target_path)
+ # handle audio
+ if roop.globals.skip_audio:
+ move_temp(roop.globals.target_path, roop.globals.output_path)
+ update_status('Skipping audio...')
+ else:
+ if roop.globals.keep_fps:
+ update_status('Restoring audio...')
+ else:
+ update_status('Restoring audio might cause issues as fps are not kept...')
+ restore_audio(roop.globals.target_path, roop.globals.output_path)
+ # clean temp
+ update_status('Cleaning temporary resources...')
+ clean_temp(roop.globals.target_path)
+ # validate video
+ if is_video(roop.globals.target_path):
+ update_status('Processing to video succeed!')
+ else:
+ update_status('Processing to video failed!')
+
+
+def destroy() -> None:
+ if roop.globals.target_path:
+ clean_temp(roop.globals.target_path)
+ sys.exit()
+
+
+def run() -> None:
+ parse_args()
+ if not pre_check():
+ return
+ for frame_processor in get_frame_processors_modules(roop.globals.frame_processors):
+ if not frame_processor.pre_check():
+ return
+ limit_resources()
+ if roop.globals.headless:
+ start()
+ else:
+ window = ui.init(start, destroy)
+ window.mainloop()
diff --git a/roop/.ipynb_checkpoints/ui-checkpoint.py b/roop/.ipynb_checkpoints/ui-checkpoint.py
new file mode 100644
index 0000000000000000000000000000000000000000..cebe6a20c3bc63dbecdff85ba387bfab73b15232
--- /dev/null
+++ b/roop/.ipynb_checkpoints/ui-checkpoint.py
@@ -0,0 +1,285 @@
+import os
+import sys
+import webbrowser
+import customtkinter as ctk
+from tkinterdnd2 import TkinterDnD, DND_ALL
+from typing import Any, Callable, Tuple, Optional
+import cv2
+from PIL import Image, ImageOps
+
+import roop.globals
+import roop.metadata
+from roop.face_analyser import get_one_face
+from roop.capturer import get_video_frame, get_video_frame_total
+from roop.face_reference import get_face_reference, set_face_reference, clear_face_reference
+from roop.predictor import predict_frame, clear_predictor
+from roop.processors.frame.core import get_frame_processors_modules
+from roop.utilities import is_image, is_video, resolve_relative_path
+
+ROOT = None
+ROOT_HEIGHT = 700
+ROOT_WIDTH = 600
+
+PREVIEW = None
+PREVIEW_MAX_HEIGHT = 700
+PREVIEW_MAX_WIDTH = 1200
+
+RECENT_DIRECTORY_SOURCE = None
+RECENT_DIRECTORY_TARGET = None
+RECENT_DIRECTORY_OUTPUT = None
+
+preview_label = None
+preview_slider = None
+source_label = None
+target_label = None
+status_label = None
+
+
+# todo: remove by native support -> https://github.com/TomSchimansky/CustomTkinter/issues/934
+class CTk(ctk.CTk, TkinterDnD.DnDWrapper):
+ def __init__(self, *args: Any, **kwargs: Any) -> None:
+ super().__init__(*args, **kwargs)
+ self.TkdndVersion = TkinterDnD._require(self)
+
+
+def init(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.CTk:
+ global ROOT, PREVIEW
+
+ ROOT = create_root(start, destroy)
+ PREVIEW = create_preview(ROOT)
+
+ return ROOT
+
+
+def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.CTk:
+ global source_label, target_label, status_label
+
+ ctk.deactivate_automatic_dpi_awareness()
+ ctk.set_appearance_mode('system')
+ ctk.set_default_color_theme(resolve_relative_path('ui.json'))
+
+ root = CTk()
+ root.minsize(ROOT_WIDTH, ROOT_HEIGHT)
+ root.title(f'{roop.metadata.name} {roop.metadata.version}')
+ root.configure()
+ root.protocol('WM_DELETE_WINDOW', lambda: destroy())
+
+ source_label = ctk.CTkLabel(root, text=None, fg_color=ctk.ThemeManager.theme.get('RoopDropArea').get('fg_color'))
+ source_label.place(relx=0.1, rely=0.1, relwidth=0.3, relheight=0.25)
+ source_label.drop_target_register(DND_ALL)
+ source_label.dnd_bind('<>', lambda event: select_source_path(event.data))
+ if roop.globals.source_path:
+ select_source_path(roop.globals.source_path)
+
+ target_label = ctk.CTkLabel(root, text=None, fg_color=ctk.ThemeManager.theme.get('RoopDropArea').get('fg_color'))
+ target_label.place(relx=0.6, rely=0.1, relwidth=0.3, relheight=0.25)
+ target_label.drop_target_register(DND_ALL)
+ target_label.dnd_bind('<>', lambda event: select_target_path(event.data))
+ if roop.globals.target_path:
+ select_target_path(roop.globals.target_path)
+
+ source_button = ctk.CTkButton(root, text='Select a face', cursor='hand2', command=lambda: select_source_path())
+ source_button.place(relx=0.1, rely=0.4, relwidth=0.3, relheight=0.1)
+
+ target_button = ctk.CTkButton(root, text='Select a target', cursor='hand2', command=lambda: select_target_path())
+ target_button.place(relx=0.6, rely=0.4, relwidth=0.3, relheight=0.1)
+
+ keep_fps_value = ctk.BooleanVar(value=roop.globals.keep_fps)
+ keep_fps_checkbox = ctk.CTkSwitch(root, text='Keep target fps', variable=keep_fps_value, cursor='hand2', command=lambda: setattr(roop.globals, 'keep_fps', not roop.globals.keep_fps))
+ keep_fps_checkbox.place(relx=0.1, rely=0.6)
+
+ keep_frames_value = ctk.BooleanVar(value=roop.globals.keep_frames)
+ keep_frames_switch = ctk.CTkSwitch(root, text='Keep temporary frames', variable=keep_frames_value, cursor='hand2', command=lambda: setattr(roop.globals, 'keep_frames', keep_frames_value.get()))
+ keep_frames_switch.place(relx=0.1, rely=0.65)
+
+ skip_audio_value = ctk.BooleanVar(value=roop.globals.skip_audio)
+ skip_audio_switch = ctk.CTkSwitch(root, text='Skip target audio', variable=skip_audio_value, cursor='hand2', command=lambda: setattr(roop.globals, 'skip_audio', skip_audio_value.get()))
+ skip_audio_switch.place(relx=0.6, rely=0.6)
+
+ many_faces_value = ctk.BooleanVar(value=roop.globals.many_faces)
+ many_faces_switch = ctk.CTkSwitch(root, text='Many faces', variable=many_faces_value, cursor='hand2', command=lambda: setattr(roop.globals, 'many_faces', many_faces_value.get()))
+ many_faces_switch.place(relx=0.6, rely=0.65)
+
+ start_button = ctk.CTkButton(root, text='Start', cursor='hand2', command=lambda: select_output_path(start))
+ start_button.place(relx=0.15, rely=0.75, relwidth=0.2, relheight=0.05)
+
+ stop_button = ctk.CTkButton(root, text='Destroy', cursor='hand2', command=lambda: destroy())
+ stop_button.place(relx=0.4, rely=0.75, relwidth=0.2, relheight=0.05)
+
+ preview_button = ctk.CTkButton(root, text='Preview', cursor='hand2', command=lambda: toggle_preview())
+ preview_button.place(relx=0.65, rely=0.75, relwidth=0.2, relheight=0.05)
+
+ status_label = ctk.CTkLabel(root, text=None, justify='center')
+ status_label.place(relx=0.1, rely=0.9, relwidth=0.8)
+
+ donate_label = ctk.CTkLabel(root, text='^_^ Donate to project ^_^', justify='center', cursor='hand2')
+ donate_label.place(relx=0.1, rely=0.95, relwidth=0.8)
+ donate_label.configure(text_color=ctk.ThemeManager.theme.get('RoopDonate').get('text_color'))
+ donate_label.bind('