.github/workflows/ci.yml

@@ -14,19 +14,3 @@ jobs:
      python-version: 3.9
   - run: pip install flake8
   - run: flake8 run.py core
- test:
-  runs-on: ubuntu-latest
-  steps:
-  - name: Checkout
-    uses: actions/checkout@v2
-  - name: Set up ffmpeg
-    uses: FedericoCarboni/setup-ffmpeg@v2
-  - name: Set up Python 3.9
-    uses: actions/setup-python@v2
-    with:
-     python-version: 3.9
-  - run: pip install -r requirements.txt gdown
-  - run: gdown 13QpWFWJ37EB-nHrEOY64CEtQWY-tz7DZ
-  - run: python run.py -f=.github/examples/face.jpg -t=.github/examples/target.mp4 -o=.github/examples/output.mp4
-  - run: ffmpeg -i .github/examples/snapshot.mp4 -i .github/examples/output.mp4 -filter_complex psnr -f null -
-

.gitignore

@@ -1,3 +0,0 @@
-.idea
-temp
-__pycache__

README.md

@@ -34,28 +34,19 @@ Additional command line arguments are given below:
 ```
 options:
   -h, --help            show this help message and exit
-  -f SOURCE_PATH, --face SOURCE_PATH
-                        use a face image
+  -f SOURCE_IMG, --face SOURCE_IMG
+                        use this face
   -t TARGET_PATH, --target TARGET_PATH
-                        replace image or video with face
-  -o OUTPUT_PATH, --output OUTPUT_PATH
+                        replace this face
+  -o OUTPUT_FILE, --output OUTPUT_FILE
                         save output to this file
+  --gpu                 use gpu
   --keep-fps            maintain original fps
-  --keep-audio          maintain original audio
   --keep-frames         keep frames directory
-  --many-faces          swap every face in the frame
-  --video-encoder VIDEO_ENCODER
-                        adjust output video encoder
-  --video-quality VIDEO_QUALITY
-                        adjust output video quality
   --max-memory MAX_MEMORY
                         maximum amount of RAM in GB to be used
-  --cpu-cores CPU_CORES
-                        number of CPU cores to use
-  --gpu-threads GPU_THREADS
-                        number of threads to be use for the GPU
-  --gpu-vendor {apple,amd,nvidia}
-                        select your GPU vendor
+  --max-cores CORES_COUNT
+                        number of cores to be use for CPU mode
 ```
 
 Looking for a CLI mode? Using the -f/--face argument will make the program in cli mode.
@@ -66,7 +57,6 @@ Looking for a CLI mode? Using the -f/--face argument will make the program in cl
 - [ ] Support for replacing multiple faces
 
 ## Credits
-- [henryruhs](https://github.com/henryruhs): for being an irreplacable contributor to the project
 - [ffmpeg](https://ffmpeg.org/): for making video related operations easy
 - [deepinsight](https://github.com/deepinsight): for their [insightface](https://github.com/deepinsight/insightface) project which provided a well-made library and models.
 - and all developers behind libraries used in this project.

core/analyser.py

@@ -0,0 +1,20 @@
+import insightface
+import core.globals
+
+FACE_ANALYSER = None
+
+
+def get_face_analyser():
+    global FACE_ANALYSER
+    if FACE_ANALYSER is None:
+        FACE_ANALYSER = insightface.app.FaceAnalysis(name='buffalo_l', providers=core.globals.providers)
+        FACE_ANALYSER.prepare(ctx_id=0, det_size=(640, 640))
+    return FACE_ANALYSER
+
+
+def get_face(img_data):
+    face = get_face_analyser().get(img_data)
+    try:
+        return sorted(face, key=lambda x: x.bbox[0])[0]
+    except IndexError:
+        return None

core/globals.py

@@ -0,0 +1,7 @@
+import onnxruntime
+
+use_gpu = False
+providers = onnxruntime.get_available_providers()
+
+if 'TensorrtExecutionProvider' in providers:
+    providers.remove('TensorrtExecutionProvider')

core/swapper.py

@@ -0,0 +1,44 @@
+import os
+from tqdm import tqdm
+import cv2
+import insightface
+import core.globals
+from core.analyser import get_face
+
+FACE_SWAPPER = None
+
+
+def get_face_swapper():
+    global FACE_SWAPPER
+    if FACE_SWAPPER is None:
+        model_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '../inswapper_128.onnx')
+        FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=core.globals.providers)
+    return FACE_SWAPPER
+
+
+def process_video(source_img, frame_paths):
+    source_face = get_face(cv2.imread(source_img))
+    with tqdm(total=len(frame_paths), desc="Processing", unit="frame", dynamic_ncols=True, bar_format='{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}{postfix}]') as progress:
+        for frame_path in frame_paths:
+            frame = cv2.imread(frame_path)
+            try:
+                face = get_face(frame)
+                if face:
+                    result = get_face_swapper().get(frame, face, source_face, paste_back=True)
+                    cv2.imwrite(frame_path, result)
+                    progress.set_postfix(status='.', refresh=True)
+                else:
+                    progress.set_postfix(status='S', refresh=True)
+            except Exception:
+                progress.set_postfix(status='E', refresh=True)
+                pass
+            progress.update(1)
+
+
+def process_img(source_img, target_path, output_file):
+    frame = cv2.imread(target_path)
+    face = get_face(frame)
+    source_face = get_face(cv2.imread(source_img))
+    result = get_face_swapper().get(frame, face, source_face, paste_back=True)
+    cv2.imwrite(output_file, result)
+    print("\n\nImage saved as:", output_file, "\n\n")

core/utils.py

@@ -0,0 +1,64 @@
+import os
+import shutil
+
+sep = "/"
+if os.name == "nt":
+    sep = "\\"
+
+
+def path(string):
+    if sep == "\\":
+        return string.replace("/", "\\")
+    return string
+
+
+def run_command(command, mode="silent"):
+    if mode == "debug":
+        return os.system(command)
+    return os.popen(command).read()
+
+
+def detect_fps(input_path):
+    input_path = path(input_path)
+    output = os.popen(f'ffprobe -v error -select_streams v -of default=noprint_wrappers=1:nokey=1 -show_entries stream=r_frame_rate "{input_path}"').read()
+    if "/" in output:
+        try:
+            return int(output.split(os.sep)[0]) // int(output.split(os.sep)[1]), output.removesuffix('\n')
+        except:
+            pass
+    return 30, 30
+
+
+def set_fps(input_path, output_path, fps):
+    input_path, output_path = path(input_path), path(output_path)
+    os.system(f'ffmpeg -i "{input_path}" -filter:v fps=fps={fps} "{output_path}"')
+
+
+def create_video(video_name, fps, output_dir):
+    output_dir = path(output_dir)
+    os.system(f'ffmpeg -framerate "{fps}" -i "{output_dir}{sep}%04d.png" -c:v libx264 -crf 7 -pix_fmt yuv420p -y "{output_dir}{sep}output.mp4"')
+
+
+def extract_frames(input_path, output_dir):
+    input_path, output_dir = path(input_path), path(output_dir)
+    os.system(f'ffmpeg -i "{input_path}" "{output_dir}{sep}%04d.png"')
+
+
+def add_audio(output_dir, target_path, video, keep_frames, output_file):
+    video_name = os.path.splitext(video)[0]
+    save_to = output_file if output_file else output_dir + "/swapped-" + video_name + ".mp4"
+    save_to_ff, output_dir_ff = path(save_to), path(output_dir)
+    os.system(f'ffmpeg -i "{output_dir_ff}{sep}output.mp4" -i "{output_dir_ff}{sep}{video}" -c:v copy -map 0:v:0 -map 1:a:0 -y "{save_to_ff}"')
+    if not os.path.isfile(save_to):
+        shutil.move(output_dir + "/output.mp4", save_to)
+    if not keep_frames:
+        shutil.rmtree(output_dir)
+
+
+def is_img(path):
+    return path.lower().endswith(("png", "jpg", "jpeg", "bmp"))
+
+
+def rreplace(s, old, new, occurrence):
+    li = s.rsplit(old, occurrence)
+    return new.join(li)

requirements.txt

@@ -1,5 +1,3 @@
---extra-index-url https://download.pytorch.org/whl/cu118
-
 numpy==1.23.5
 opencv-python==4.7.0.72
 onnx==1.14.0
@@ -7,12 +5,9 @@ insightface==0.7.3
 psutil==5.9.5
 tk==0.1.0
 pillow==9.5.0
-torch==2.0.1+cu118
-onnxruntime==1.15.0; sys_platform == 'darwin' and platform_machine != 'arm64'
-onnxruntime-silicon==1.13.1; sys_platform == 'darwin' and platform_machine == 'arm64'
-onnxruntime-gpu==1.15.0; sys_platform != 'darwin'
-tensorflow==2.13.0rc1; sys_platform == 'darwin'
-tensorflow==2.12.0; sys_platform != 'darwin'
+torch==2.0.1
+onnxruntime-gpu==1.15.0
+tensorflow==2.12.0
 opennsfw2==0.10.2
 protobuf==4.23.2
 tqdm==4.65.0

roop/analyser.py

@@ -1,28 +0,0 @@
-from typing import Any
-import insightface
-import roop.globals
-
-FACE_ANALYSER = None
-
-
-def get_face_analyser() -> Any:
-    global FACE_ANALYSER
-    if FACE_ANALYSER is None:
-        FACE_ANALYSER = insightface.app.FaceAnalysis(name='buffalo_l', providers=roop.globals.providers)
-        FACE_ANALYSER.prepare(ctx_id=0, det_size=(640, 640))
-    return FACE_ANALYSER
-
-
-def get_one_face(image_data) -> Any:
-    face = get_face_analyser().get(image_data)
-    try:
-        return min(face, key=lambda x: x.bbox[0])
-    except ValueError:
-        return None
-
-
-def get_many_faces(image_data) -> Any:
-    try:
-        return get_face_analyser().get(image_data)
-    except IndexError:
-        return None

roop/capturer.py

@@ -1,12 +0,0 @@
-import cv2
-
-
-def get_video_frame(video_path: str, frame_number: int = 1):
-    capture = cv2.VideoCapture(video_path)
-    frame_total = capture.get(cv2.CAP_PROP_FRAME_COUNT)
-    capture.set(cv2.CAP_PROP_POS_FRAMES, min(frame_total, frame_number - 1))
-    has_frame, frame = capture.read()
-    capture.release()
-    if has_frame:
-        return cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
-    return None

roop/core.py

@@ -1,233 +0,0 @@
-#!/usr/bin/env python3
-
-import os
-import sys
-# single thread doubles performance of gpu-mode - needs to be set before torch import
-if any(arg.startswith('--gpu-vendor') 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 psutil
-import torch
-import tensorflow
-import multiprocessing
-from opennsfw2 import predict_video_frames, predict_image
-import cv2
-
-import roop.globals
-import roop.ui as ui
-from roop.swapper import process_video, process_image
-from roop.utilities import has_image_extention, is_image, is_video, detect_fps, create_video, extract_frames, get_temp_frames_paths, restore_audio, create_temp, move_temp, clean_temp
-from roop.analyser import get_one_face
-
-if 'ROCMExecutionProvider' in roop.globals.providers:
-    del torch
-
-warnings.simplefilter(action='ignore', category=FutureWarning)
-
-
-def parse_args() -> None:
-    signal.signal(signal.SIGINT, lambda signal_number, frame: destroy())
-    parser = argparse.ArgumentParser()
-    parser.add_argument('-f', '--face', help='use a face image', dest='source_path')
-    parser.add_argument('-t', '--target', help='replace image or video with face', dest='target_path')
-    parser.add_argument('-o', '--output', help='save output to this file', dest='output_path')
-    parser.add_argument('--keep-fps', help='maintain original fps', dest='keep_fps', action='store_true', default=False)
-    parser.add_argument('--keep-audio', help='maintain original audio', dest='keep_audio', action='store_true', default=True)
-    parser.add_argument('--keep-frames', help='keep frames directory', dest='keep_frames', action='store_true', default=False)
-    parser.add_argument('--many-faces', help='swap every face in the frame', dest='many_faces', action='store_true', default=False)
-    parser.add_argument('--video-encoder', help='adjust output video encoder', dest='video_encoder', default='libx264')
-    parser.add_argument('--video-quality', help='adjust output video quality', dest='video_quality', type=int, default=18)
-    parser.add_argument('--max-memory', help='maximum amount of RAM in GB to be used', dest='max_memory', type=int, default=suggest_max_memory())
-    parser.add_argument('--cpu-cores', help='number of CPU cores to use', dest='cpu_cores', type=int, default=suggest_cpu_cores())
-    parser.add_argument('--gpu-threads', help='number of threads to be use for the GPU', dest='gpu_threads', type=int, default=suggest_gpu_threads())
-    parser.add_argument('--gpu-vendor', help='select your GPU vendor', dest='gpu_vendor', choices=['apple', 'amd', 'nvidia'])
-
-    args = parser.parse_known_args()[0]
-
-    roop.globals.source_path = args.source_path
-    roop.globals.target_path = args.target_path
-    roop.globals.output_path = args.output_path
-    roop.globals.headless = args.source_path or args.target_path or args.output_path
-    roop.globals.keep_fps = args.keep_fps
-    roop.globals.keep_audio = args.keep_audio
-    roop.globals.keep_frames = args.keep_frames
-    roop.globals.many_faces = args.many_faces
-    roop.globals.video_encoder = args.video_encoder
-    roop.globals.video_quality = args.video_quality
-    roop.globals.max_memory = args.max_memory
-    roop.globals.cpu_cores = args.cpu_cores
-    roop.globals.gpu_threads = args.gpu_threads
-
-    if args.gpu_vendor:
-        roop.globals.gpu_vendor = args.gpu_vendor
-    else:
-        roop.globals.providers = ['CPUExecutionProvider']
-
-
-def suggest_max_memory() -> int:
-    if platform.system().lower() == 'darwin':
-        return 4
-    return 16
-
-
-def suggest_gpu_threads() -> int:
-    if 'ROCMExecutionProvider' in roop.globals.providers:
-        return 2
-    return 8
-
-
-def suggest_cpu_cores() -> int:
-    if platform.system().lower() == 'darwin':
-        return 2
-    return int(max(psutil.cpu_count() / 2, 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_memory_growth(gpu, True)
-    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
-            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() -> None:
-    if sys.version_info < (3, 9):
-        quit('Python version is not supported - please upgrade to 3.9 or higher.')
-    if not shutil.which('ffmpeg'):
-        quit('ffmpeg is not installed!')
-    model_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '../inswapper_128.onnx')
-    if not os.path.isfile(model_path):
-        quit('File "inswapper_128.onnx" does not exist!')
-    if roop.globals.gpu_vendor == 'apple':
-        if 'CoreMLExecutionProvider' not in roop.globals.providers:
-            quit('You are using --gpu=apple flag but CoreML is not available or properly installed on your system.')
-    if roop.globals.gpu_vendor == 'amd':
-        if 'ROCMExecutionProvider' not in roop.globals.providers:
-            quit('You are using --gpu=amd flag but ROCM is not available or properly installed on your system.')
-    if roop.globals.gpu_vendor == 'nvidia':
-        if not torch.cuda.is_available():
-            quit('You are using --gpu=nvidia flag but CUDA is not available or properly installed on your system.')
-        if torch.version.cuda > '11.8':
-            quit(f'CUDA version {torch.version.cuda} is not supported - please downgrade to 11.8')
-        if torch.version.cuda < '11.4':
-            quit(f'CUDA version {torch.version.cuda} is not supported - please upgrade to 11.8')
-        if torch.backends.cudnn.version() < 8220:
-            quit(f'CUDNN version { torch.backends.cudnn.version()} is not supported - please upgrade to 8.9.1')
-        if torch.backends.cudnn.version() > 8910:
-            quit(f'CUDNN version { torch.backends.cudnn.version()} is not supported - please downgrade to 8.9.1')
-
-
-def conditional_process_video(source_path: str, frame_paths: List[str]) -> None:
-    pool_amount = len(frame_paths) // roop.globals.cpu_cores
-    if pool_amount > 2 and roop.globals.cpu_cores > 1 and roop.globals.gpu_vendor is None:
-        global POOL
-        POOL = multiprocessing.Pool(roop.globals.cpu_cores, maxtasksperchild=1)
-        pools = []
-        for i in range(0, len(frame_paths), pool_amount):
-            pool = POOL.apply_async(process_video, args=(source_path, frame_paths[i:i + pool_amount], 'cpu'))
-            pools.append(pool)
-        for pool in pools:
-            pool.get()
-        POOL.close()
-        POOL.join()
-    else:
-         process_video(roop.globals.source_path, frame_paths, 'gpu')
-
-
-def update_status(message: str) -> None:
-    value = 'Status: ' + message
-    print(value)
-    if not roop.globals.headless:
-        ui.update_status(value)
-
-
-def start() -> None:
-    if not roop.globals.source_path or not os.path.isfile(roop.globals.source_path):
-        update_status('Select an image that contains a face.')
-        return
-    elif not roop.globals.target_path or not os.path.isfile(roop.globals.target_path):
-        update_status('Select an image or video target!')
-        return
-    test_face = get_one_face(cv2.imread(roop.globals.source_path))
-    if not test_face:
-        update_status('No face detected in source image. Please try with another one!')
-        return
-    # process image to image
-    if has_image_extention(roop.globals.target_path):
-        if predict_image(roop.globals.target_path) > 0.85:
-            destroy()
-        process_image(roop.globals.source_path, roop.globals.target_path, roop.globals.output_path)
-        if is_image(roop.globals.target_path):
-            update_status('Swapping to image succeed!')
-        else:
-            update_status('Swapping to image failed!')
-        return
-    # process image to videos
-    # seconds, probabilities = predict_video_frames(video_path=roop.globals.target_path, frame_interval=100)
-    # if any(probability > 0.85 for probability in probabilities):
-    #     destroy()
-    update_status('Creating temp resources...')
-    create_temp(roop.globals.target_path)
-    update_status('Extracting frames...')
-    extract_frames(roop.globals.target_path)
-    frame_paths = get_temp_frames_paths(roop.globals.target_path)
-    update_status('Swapping in progress...')
-    conditional_process_video(roop.globals.source_path, frame_paths)
-    # prevent memory leak using ffmpeg with cuda
-    if roop.globals.gpu_vendor == 'nvidia':
-        torch.cuda.empty_cache()
-    if roop.globals.keep_fps:
-        update_status('Detecting 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, 30)
-    if roop.globals.keep_audio:
-        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)
-    else:
-        move_temp(roop.globals.target_path, roop.globals.output_path)
-    clean_temp(roop.globals.target_path)
-    if is_video(roop.globals.target_path):
-        update_status('Swapping to video succeed!')
-    else:
-        update_status('Swapping to video failed!')
-
-
-def destroy() -> None:
-    if roop.globals.target_path:
-        clean_temp(roop.globals.target_path)
-    quit()
-
-
-def run() -> None:
-    parse_args()
-    pre_check()
-    limit_resources()
-    if roop.globals.headless:
-        start()
-    else:
-        window = ui.init(start, destroy)
-        window.mainloop()

roop/globals.py

@@ -1,21 +0,0 @@
-import onnxruntime
-
-source_path = None
-target_path = None
-output_path = None
-keep_fps = None
-keep_audio = None
-keep_frames = None
-many_faces = None
-video_encoder = None
-video_quality = None
-max_memory = None
-cpu_cores = None
-gpu_threads = None
-gpu_vendor = None
-headless = None
-log_level = 'error'
-providers = onnxruntime.get_available_providers()
-
-if 'TensorrtExecutionProvider' in providers:
-    providers.remove('TensorrtExecutionProvider')

roop/swapper.py

@@ -1,95 +0,0 @@
-import os
-from typing import Any
-
-from tqdm import tqdm
-import cv2
-import insightface
-import threading
-import roop.globals
-from roop.analyser import get_one_face, get_many_faces
-
-FACE_SWAPPER = None
-THREAD_LOCK = threading.Lock()
-
-
-def get_face_swapper() -> None:
-    global FACE_SWAPPER
-    with THREAD_LOCK:
-        if FACE_SWAPPER is None:
-            model_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), '../inswapper_128.onnx')
-            FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=roop.globals.providers)
-    return FACE_SWAPPER
-
-
-def swap_face_in_frame(source_face: Any, target_face: Any, frame: Any) -> None:
-    if target_face:
-        return get_face_swapper().get(frame, target_face, source_face, paste_back=True)
-    return frame
-
-
-def process_faces(source_face: Any, target_frame: Any) -> Any:
-    if roop.globals.many_faces:
-        many_faces = get_many_faces(target_frame)
-        if many_faces:
-            for face in many_faces:
-                target_frame = swap_face_in_frame(source_face, face, target_frame)
-    else:
-        face = get_one_face(target_frame)
-        if face:
-            target_frame = swap_face_in_frame(source_face, face, target_frame)
-    return target_frame
-
-
-def process_frames(source_path: str, frame_paths: [str], progress=None) -> None:
-    source_face = get_one_face(cv2.imread(source_path))
-    for frame_path in frame_paths:
-        frame = cv2.imread(frame_path)
-        try:
-            result = process_faces(source_face, frame)
-            cv2.imwrite(frame_path, result)
-        except Exception as exception:
-            print(exception)
-            pass
-        if progress:
-            progress.update(1)
-
-
-def multi_process_frame(source_img, frame_paths, progress) -> None:
-    threads = []
-    frames_per_thread = len(frame_paths) // roop.globals.gpu_threads
-    remaining_frames = len(frame_paths) % roop.globals.gpu_threads
-    start_index = 0
-    # create threads by frames
-    for _ in range(roop.globals.gpu_threads):
-        end_index = start_index + frames_per_thread
-        if remaining_frames > 0:
-            end_index += 1
-            remaining_frames -= 1
-        thread_frame_paths = frame_paths[start_index:end_index]
-        thread = threading.Thread(target=process_frames, args=(source_img, thread_frame_paths, progress))
-        threads.append(thread)
-        thread.start()
-        start_index = end_index
-    # join threads
-    for thread in threads:
-        thread.join()
-
-
-def process_image(source_path: str, target_path: str, output_file) -> None:
-    frame = cv2.imread(target_path)
-    target_frame = get_one_face(frame)
-    source_face = get_one_face(cv2.imread(source_path))
-    result = get_face_swapper().get(frame, target_frame, source_face, paste_back=True)
-    cv2.imwrite(output_file, result)
-
-
-def process_video(source_path: str, frame_paths: [str], mode: str) -> None:
-    progress_bar_format = '{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}{postfix}]'
-    total = len(frame_paths)
-    with tqdm(total=total, desc='Processing', unit='frame', dynamic_ncols=True, bar_format=progress_bar_format) as progress:
-        if mode == 'cpu':
-            progress.set_postfix({'mode': mode, 'cores': roop.globals.cpu_cores, 'memory': roop.globals.max_memory})
-            process_frames(source_path, frame_paths, progress)
-        elif mode == 'gpu':
-            progress.set_postfix({'mode': mode, 'threads': roop.globals.gpu_threads, 'memory': roop.globals.max_memory})
-            multi_process_frame(source_path, frame_paths, progress)

roop/ui.py

@@ -1,246 +0,0 @@
-import os
-import tkinter as tk
-from tkinter import filedialog
-from typing import Callable, Any, Tuple
-
-import cv2
-from PIL import Image, ImageTk, ImageOps
-
-import roop.globals
-from roop.analyser import get_one_face
-from roop.capturer import get_video_frame
-from roop.swapper import process_faces
-from roop.utilities import is_image, is_video
-
-PRIMARY_COLOR = '#2d3436'
-SECONDARY_COLOR = '#74b9ff'
-TERTIARY_COLOR = '#f1c40f'
-ACCENT_COLOR = '#2ecc71'
-WINDOW_HEIGHT = 700
-WINDOW_WIDTH = 600
-PREVIEW_MAX_HEIGHT = 700
-PREVIEW_MAX_WIDTH = 1200
-RECENT_DIRECTORY_SOURCE = None
-RECENT_DIRECTORY_TARGET = None
-RECENT_DIRECTORY_OUTPUT = None
-
-
-def init(start: Callable, destroy: Callable) -> tk.Tk:
-    global ROOT, PREVIEW
-
-    ROOT = create_root(start, destroy)
-    PREVIEW = create_preview(ROOT)
-
-    return ROOT
-
-
-def create_root(start: Callable, destroy: Callable) -> tk.Tk:
-    global source_label, target_label, status_label
-
-    root = tk.Tk()
-    root.minsize(WINDOW_WIDTH, WINDOW_HEIGHT)
-    root.title('roop')
-    root.configure(bg=PRIMARY_COLOR)
-    root.option_add('*Font', ('Arial', 11))
-    root.protocol('WM_DELETE_WINDOW', lambda: destroy())
-
-    source_label = tk.Label(root, bg=PRIMARY_COLOR)
-    source_label.place(relx=0.1, rely=0.1, relwidth=0.3, relheight=0.25)
-
-    target_label = tk.Label(root, bg=PRIMARY_COLOR)
-    target_label.place(relx=0.6, rely=0.1, relwidth=0.3, relheight=0.25)
-
-    source_button = create_primary_button(root, 'Select a face', lambda: select_source_path())
-    source_button.place(relx=0.1, rely=0.4, relwidth=0.3, relheight=0.1)
-
-    target_button = create_primary_button(root, 'Select a target', lambda: select_target_path())
-    target_button.place(relx=0.6, rely=0.4, relwidth=0.3, relheight=0.1)
-
-    keep_fps_value = tk.BooleanVar(value=roop.globals.keep_fps)
-    keep_fps_checkbox = create_checkbox(root, 'Limit to 30 fps', keep_fps_value, lambda: setattr(roop.globals, 'keep_fps', not roop.globals.keep_fps))
-    keep_fps_checkbox.place(relx=0.1, rely=0.6)
-
-    keep_frames_value = tk.BooleanVar(value=roop.globals.keep_frames)
-    keep_frames_checkbox = create_checkbox(root, 'Keep frames dir', keep_frames_value, lambda: setattr(roop.globals, 'keep_frames', keep_frames_value.get()))
-    keep_frames_checkbox.place(relx=0.1, rely=0.65)
-
-    keep_audio_value = tk.BooleanVar(value=roop.globals.keep_audio)
-    keep_audio_checkbox = create_checkbox(root, 'Keep original audio', keep_audio_value, lambda: setattr(roop.globals, 'keep_audio', keep_audio_value.get()))
-    keep_audio_checkbox.place(relx=0.6, rely=0.6)
-
-    many_faces_value = tk.BooleanVar(value=roop.globals.many_faces)
-    many_faces_checkbox = create_checkbox(root, 'Replace all faces', many_faces_value, lambda: setattr(roop.globals, 'many_faces', many_faces_value.get()))
-    many_faces_checkbox.place(relx=0.6, rely=0.65)
-
-    start_button = create_secondary_button(root, 'Start', lambda: select_output_path(start))
-    start_button.place(relx=0.15, rely=0.75, relwidth=0.2, relheight=0.05)
-
-    stop_button = create_secondary_button(root, 'Destroy', lambda: destroy())
-    stop_button.place(relx=0.4, rely=0.75, relwidth=0.2, relheight=0.05)
-
-    preview_button = create_secondary_button(root, 'Preview', lambda: toggle_preview())
-    preview_button.place(relx=0.65, rely=0.75, relwidth=0.2, relheight=0.05)
-
-    status_label = tk.Label(root, justify='center', text='Status: None', fg=ACCENT_COLOR, bg=PRIMARY_COLOR)
-    status_label.place(relx=0.1, rely=0.9)
-
-    return root
-
-
-def create_preview(parent) -> tk.Toplevel:
-    global preview_label, preview_scale
-
-    preview = tk.Toplevel(parent)
-    preview.withdraw()
-    preview.title('Preview')
-    preview.configure(bg=PRIMARY_COLOR)
-    preview.option_add('*Font', ('Arial', 11))
-    preview.protocol('WM_DELETE_WINDOW', lambda: toggle_preview())
-    preview.resizable(width=False, height=False)
-
-    preview_label = tk.Label(preview, bg=PRIMARY_COLOR)
-    preview_label.pack(fill='both', expand=True)
-
-    preview_scale = tk.Scale(preview, orient='horizontal', command=lambda frame_value: update_preview(int(frame_value)))
-    preview_scale.pack(fill='x')
-
-    return preview
-
-
-def create_primary_button(parent: Any, text: str, command: Callable) -> tk.Button:
-    return tk.Button(
-        parent,
-        text=text,
-        command=command,
-        bg=PRIMARY_COLOR,
-        fg=SECONDARY_COLOR,
-        relief='flat',
-        highlightthickness=4,
-        highlightbackground=SECONDARY_COLOR,
-        activebackground=SECONDARY_COLOR,
-        borderwidth=4
-    )
-
-
-def create_secondary_button(parent: Any, text: str, command: Callable) -> tk.Button:
-    return tk.Button(
-        parent,
-        text=text,
-        command=command,
-        bg=TERTIARY_COLOR,
-        relief='flat',
-        borderwidth=0,
-        highlightthickness=0
-    )
-
-
-def create_checkbox(parent: Any, text: str, variable: tk.BooleanVar, command: Callable) -> tk.Checkbutton:
-    return tk.Checkbutton(
-        parent,
-        text=text,
-        variable=variable,
-        command=command,
-        relief='flat',
-        bg=PRIMARY_COLOR,
-        activebackground=PRIMARY_COLOR,
-        activeforeground=SECONDARY_COLOR,
-        selectcolor=PRIMARY_COLOR,
-        fg=SECONDARY_COLOR,
-        borderwidth=0,
-        highlightthickness=0
-    )
-
-
-def update_status(text: str) -> None:
-    status_label['text'] = text
-    ROOT.update()
-
-
-def select_source_path():
-    global RECENT_DIRECTORY_SOURCE
-    source_path = filedialog.askopenfilename(title='Select an face image', initialdir=RECENT_DIRECTORY_SOURCE)
-    if is_image(source_path):
-        roop.globals.source_path = source_path
-        RECENT_DIRECTORY_SOURCE = os.path.dirname(roop.globals.source_path)
-        image = render_image_preview(roop.globals.source_path, (200, 200))
-        source_label.configure(image=image)
-        source_label.image = image
-    else:
-        roop.globals.source_path = None
-        source_label.configure(image=None)
-        source_label.image = None
-
-
-def select_target_path():
-    global RECENT_DIRECTORY_TARGET
-    target_path = filedialog.askopenfilename(title='Select an image or video target', initialdir=RECENT_DIRECTORY_TARGET)
-    if is_image(target_path):
-        roop.globals.target_path = target_path
-        RECENT_DIRECTORY_TARGET = os.path.dirname(roop.globals.target_path)
-        image = render_image_preview(roop.globals.target_path)
-        target_label.configure(image=image)
-        target_label.image = image
-    elif is_video(target_path):
-        roop.globals.target_path = target_path
-        RECENT_DIRECTORY_TARGET = os.path.dirname(roop.globals.target_path)
-        video_frame = render_video_preview(target_path, (200, 200))
-        target_label.configure(image=video_frame)
-        target_label.image = video_frame
-    else:
-        roop.globals.target_path = None
-        target_label.configure(image=None)
-        target_label.image = None
-
-
-def select_output_path(start):
-    global RECENT_DIRECTORY_OUTPUT
-    if is_image(roop.globals.target_path):
-        output_path = filedialog.asksaveasfilename(title='Save image output', initialfile='output.png', initialdir=RECENT_DIRECTORY_OUTPUT)
-    elif is_video(roop.globals.target_path):
-        output_path = filedialog.asksaveasfilename(title='Save video output', initialfile='output.mp4', initialdir=RECENT_DIRECTORY_OUTPUT)
-    if output_path:
-        roop.globals.output_path = output_path
-        RECENT_DIRECTORY_OUTPUT = os.path.dirname(roop.globals.output_path)
-        start()
-
-
-def render_image_preview(image_path: str, dimensions: Tuple[int, int] = None) -> ImageTk.PhotoImage:
-    image = Image.open(image_path)
-    if dimensions:
-        image = ImageOps.fit(image, dimensions, Image.LANCZOS)
-    return ImageTk.PhotoImage(image)
-
-
-def render_video_preview(video_path: str, dimensions: Tuple[int, int] = None, frame_number: int = 1) -> ImageTk.PhotoImage:
-    capture = cv2.VideoCapture(video_path)
-    if frame_number:
-        capture.set(cv2.CAP_PROP_POS_FRAMES, frame_number)
-    has_frame, frame = capture.read()
-    if has_frame:
-        image = Image.fromarray(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
-        if dimensions:
-            image = ImageOps.fit(image, dimensions, Image.LANCZOS)
-        return ImageTk.PhotoImage(image)
-    capture.release()
-    cv2.destroyAllWindows()
-
-
-def toggle_preview() -> None:
-    if PREVIEW.state() == 'normal':
-        PREVIEW.withdraw()
-    else:
-        update_preview(1)
-        PREVIEW.deiconify()
-
-
-def update_preview(frame_number: int) -> None:
-    if roop.globals.source_path and roop.globals.target_path and frame_number:
-        video_frame = process_faces(
-            get_one_face(cv2.imread(roop.globals.source_path)),
-            get_video_frame(roop.globals.target_path, frame_number)
-        )
-        image = Image.fromarray(video_frame)
-        image = ImageOps.contain(image, (PREVIEW_MAX_WIDTH, PREVIEW_MAX_HEIGHT), Image.LANCZOS)
-        image = ImageTk.PhotoImage(image)
-        preview_label.configure(image=image)
-        preview_label.image = image

roop/utilities.py

@@ -1,114 +0,0 @@
-import glob
-import os
-import shutil
-import subprocess
-from pathlib import Path
-from typing import List
-import cv2
-from PIL import Image
-
-import roop.globals
-
-TEMP_FILE = 'temp.mp4'
-TEMP_DIRECTORY = 'temp'
-
-
-def run_ffmpeg(args: List) -> None:
-    commands = ['ffmpeg', '-hide_banner', '-hwaccel', 'auto', '-loglevel', roop.globals.log_level]
-    commands.extend(args)
-    try:
-        subprocess.check_output(commands, stderr=subprocess.STDOUT)
-    except Exception:
-        pass
-
-
-def detect_fps(target_path: str) -> int:
-    command = ['ffprobe', '-v', 'error', '-select_streams', 'v:0', '-show_entries', 'stream=r_frame_rate', '-of', 'default=noprint_wrappers=1:nokey=1', target_path]
-    output = subprocess.check_output(command).decode().strip()
-    try:
-        return int(eval(output))
-    except Exception:
-        pass
-    return 30
-
-
-def extract_frames(target_path: str) -> None:
-    temp_directory_path = get_temp_directory_path(target_path)
-    run_ffmpeg(['-i', target_path, os.path.join(temp_directory_path, '%04d.png')])
-
-
-def create_video(target_path: str, fps: int) -> None:
-    temp_directory_path = get_temp_directory_path(target_path)
-    run_ffmpeg(['-i', os.path.join(temp_directory_path, '%04d.png'), '-framerate', str(fps), '-c:v', roop.globals.video_encoder, '-crf', str(roop.globals.video_quality), '-pix_fmt', 'yuv420p', '-y', get_temp_file_path(target_path)])
-
-
-def restore_audio(target_path: str, output_path: str) -> None:
-    temp_file_path = get_temp_file_path(target_path)
-    run_ffmpeg(['-i', temp_file_path, '-i', target_path, '-c:v', 'copy', '-map', '0:v:0', '-map', '1:a:0', '-y', output_path])
-    if not os.path.isfile(output_path):
-        move_temp(target_path, output_path)
-
-
-def get_temp_frames_paths(target_path: str) -> List:
-    temp_directory_path = get_temp_directory_path(target_path)
-    return glob.glob(os.path.join(temp_directory_path, '*.png'))
-
-
-def get_temp_directory_path(target_path: str) -> str:
-    filename, _ = os.path.splitext(os.path.basename(target_path))
-    target_name = os.path.dirname(target_path)
-    return os.path.join(target_name, TEMP_DIRECTORY, filename)
-
-
-def get_temp_file_path(target_path: str) -> str:
-    temp_directory_path = get_temp_directory_path(target_path)
-    return os.path.join(temp_directory_path, TEMP_FILE)
-
-
-def create_temp(target_path: str) -> None:
-    temp_directory_path = get_temp_directory_path(target_path)
-    Path(temp_directory_path).mkdir(parents=True, exist_ok=True)
-
-
-def move_temp(target_path: str, output_path: str) -> None:
-    temp_file_path = get_temp_file_path(target_path)
-    if os.path.isfile(temp_file_path):
-        shutil.move(temp_file_path, output_path)
-
-
-def clean_temp(target_path: str) -> None:
-    temp_directory_path = get_temp_directory_path(target_path)
-    parent_directory_path = os.path.dirname(temp_directory_path)
-    parent_directory_name = os.path.basename(parent_directory_path)
-    if not roop.globals.keep_frames and os.path.isdir(temp_directory_path):
-        shutil.rmtree(temp_directory_path)
-    if not os.listdir(parent_directory_path) and parent_directory_name == TEMP_DIRECTORY:
-        os.rmdir(parent_directory_path)
-
-
-def has_image_extention(image_path: str) -> bool:
-    return image_path.lower().endswith(('png', 'jpg', 'jpeg'))
-
-
-def is_image(image_path: str) -> bool:
-    if image_path and os.path.isfile(image_path):
-        try:
-            image = Image.open(image_path)
-            image.verify()
-            return True
-        except Exception:
-            pass
-    return False
-
-
-def is_video(video_path: str) -> bool:
-    if video_path and os.path.isfile(video_path):
-        try:
-            capture = cv2.VideoCapture(video_path)
-            if capture.isOpened():
-                is_video, _ = capture.read()
-                capture.release()
-                return is_video
-        except Exception:
-            pass
-    return False

run.py

@@ -1,6 +1,273 @@
 #!/usr/bin/env python3
 
-from roop import core
+import platform
+import signal
+import sys
+import shutil
+import glob
+import argparse
+import multiprocessing as mp
+import os
+import torch
+from pathlib import Path
+import tkinter as tk
+from tkinter import filedialog
+from opennsfw2 import predict_video_frames, predict_image
+from tkinter.filedialog import asksaveasfilename
+import webbrowser
+import psutil
+import cv2
+import threading
+from PIL import Image, ImageTk
+import core.globals
+from core.swapper import process_video, process_img
+from core.utils import is_img, detect_fps, set_fps, create_video, add_audio, extract_frames, rreplace
+from core.analyser import get_face
 
-if __name__ == '__main__':
-    core.run()
+if 'ROCMExecutionProvider' in core.globals.providers:
+    del torch
+
+pool = None
+args = {}
+
+signal.signal(signal.SIGINT, lambda signal_number, frame: quit())
+parser = argparse.ArgumentParser()
+parser.add_argument('-f', '--face', help='use this face', dest='source_img')
+parser.add_argument('-t', '--target', help='replace this face', dest='target_path')
+parser.add_argument('-o', '--output', help='save output to this file', dest='output_file')
+parser.add_argument('--gpu', help='use gpu', dest='gpu', action='store_true', default=False)
+parser.add_argument('--keep-fps', help='maintain original fps', dest='keep_fps', action='store_true', default=False)
+parser.add_argument('--keep-frames', help='keep frames directory', dest='keep_frames', action='store_true', default=False)
+parser.add_argument('--max-memory', help='maximum amount of RAM in GB to be used', type=int)
+parser.add_argument('--max-cores', help='number of cores to be use for CPU mode', dest='cores_count', type=int, default=max(psutil.cpu_count() - 2, 2))
+
+for name, value in vars(parser.parse_args()).items():
+    args[name] = value
+
+sep = "/"
+if os.name == "nt":
+    sep = "\\"
+
+
+def limit_resources():
+    if args['max_memory']:
+        memory = args['max_memory'] * 1024 * 1024 * 1024
+        if str(platform.system()).lower() == 'windows':
+            import ctypes
+            kernel32 = ctypes.windll.kernel32
+            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():
+    if sys.version_info < (3, 9):
+        quit('Python version is not supported - please upgrade to 3.9 or higher')
+    if not shutil.which('ffmpeg'):
+        quit('ffmpeg is not installed!')
+    model_path = os.path.join(os.path.abspath(os.path.dirname(__file__)), 'inswapper_128.onnx')
+    if not os.path.isfile(model_path):
+        quit('File "inswapper_128.onnx" does not exist!')
+    if '--gpu' in sys.argv:
+        if 'ROCMExecutionProvider' not in core.globals.providers:
+            CUDA_VERSION = torch.version.cuda
+            CUDNN_VERSION = torch.backends.cudnn.version()
+            if not torch.cuda.is_available() or not CUDA_VERSION:
+                quit("You are using --gpu flag but CUDA isn't available or properly installed on your system.")
+            if CUDA_VERSION > '11.8':
+                quit(f"CUDA version {CUDA_VERSION} is not supported - please downgrade to 11.8")
+            if CUDA_VERSION < '11.4':
+                quit(f"CUDA version {CUDA_VERSION} is not supported - please upgrade to 11.8")
+            if CUDNN_VERSION < 8220:
+                quit(f"CUDNN version {CUDNN_VERSION} is not supported - please upgrade to 8.9.1")
+            if CUDNN_VERSION > 8910:
+                quit(f"CUDNN version {CUDNN_VERSION} is not supported - please downgrade to 8.9.1")
+    else:
+        core.globals.providers = ['CPUExecutionProvider']
+
+
+def start_processing():
+    if args['gpu']:
+        process_video(args['source_img'], args["frame_paths"])
+        return
+    frame_paths = args["frame_paths"]
+    n = len(frame_paths)//(args['cores_count'])
+    processes = []
+    for i in range(0, len(frame_paths), n):
+        p = pool.apply_async(process_video, args=(args['source_img'], frame_paths[i:i+n],))
+        processes.append(p)
+    for p in processes:
+        p.get()
+    pool.close()
+    pool.join()
+
+
+def preview_image(image_path):
+    img = Image.open(image_path)
+    img = img.resize((180, 180), Image.ANTIALIAS)
+    photo_img = ImageTk.PhotoImage(img)
+    left_frame = tk.Frame(window)
+    left_frame.place(x=60, y=100)
+    img_label = tk.Label(left_frame, image=photo_img)
+    img_label.image = photo_img
+    img_label.pack()
+
+
+def preview_video(video_path):
+    cap = cv2.VideoCapture(video_path)
+    if not cap.isOpened():
+        print("Error opening video file")
+        return
+    ret, frame = cap.read()
+    if ret:
+        frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+        img = Image.fromarray(frame)
+        img = img.resize((180, 180), Image.ANTIALIAS)
+        photo_img = ImageTk.PhotoImage(img)
+        right_frame = tk.Frame(window)
+        right_frame.place(x=360, y=100)
+        img_label = tk.Label(right_frame, image=photo_img)
+        img_label.image = photo_img
+        img_label.pack()
+
+    cap.release()
+
+
+def select_face():
+    args['source_img'] = filedialog.askopenfilename(title="Select a face")
+    preview_image(args['source_img'])
+
+
+def select_target():
+    args['target_path'] = filedialog.askopenfilename(title="Select a target")
+    threading.Thread(target=preview_video, args=(args['target_path'],)).start()
+
+
+def toggle_fps_limit():
+    args['keep_fps'] = limit_fps.get() != True
+
+
+def toggle_keep_frames():
+    args['keep_frames'] = keep_frames.get() != True
+
+
+def save_file():
+    filename, ext = 'output.mp4', '.mp4'
+    if is_img(args['target_path']):
+        filename, ext = 'output.png', '.png'
+    args['output_file'] = asksaveasfilename(initialfile=filename, defaultextension=ext, filetypes=[("All Files","*.*"),("Videos","*.mp4")])
+
+
+def status(string):
+    if 'cli_mode' in args:
+        print("Status: " + string)
+    else:
+        status_label["text"] = "Status: " + string
+        window.update()
+
+
+def start():
+    if not args['source_img'] or not os.path.isfile(args['source_img']):
+        print("\n[WARNING] Please select an image containing a face.")
+        return
+    elif not args['target_path'] or not os.path.isfile(args['target_path']):
+        print("\n[WARNING] Please select a video/image to swap face in.")
+        return
+    if not args['output_file']:
+        target_path = args['target_path']
+        args['output_file'] = rreplace(target_path, "/", "/swapped-", 1) if "/" in target_path else "swapped-" + target_path
+    global pool
+    pool = mp.Pool(args['cores_count'])
+    target_path = args['target_path']
+    test_face = get_face(cv2.imread(args['source_img']))
+    if not test_face:
+        print("\n[WARNING] No face detected in source image. Please try with another one.\n")
+        return
+    if is_img(target_path):
+        if predict_image(target_path) > 0.7:
+            quit()
+        process_img(args['source_img'], target_path, args['output_file'])
+        status("swap successful!")
+        return
+    seconds, probabilities = predict_video_frames(video_path=args['target_path'], frame_interval=100)
+    if any(probability > 0.7 for probability in probabilities):
+        quit()
+    video_name_full = target_path.split("/")[-1]
+    video_name = os.path.splitext(video_name_full)[0]
+    output_dir = os.path.dirname(target_path) + "/" + video_name
+    Path(output_dir).mkdir(exist_ok=True)
+    status("detecting video's FPS...")
+    fps, exact_fps = detect_fps(target_path)
+    if not args['keep_fps'] and fps > 30:
+        this_path = output_dir + "/" + video_name + ".mp4"
+        set_fps(target_path, this_path, 30)
+        target_path, exact_fps = this_path, 30
+    else:
+        shutil.copy(target_path, output_dir)
+    status("extracting frames...")
+    extract_frames(target_path, output_dir)
+    args['frame_paths'] = tuple(sorted(
+        glob.glob(output_dir + "/*.png"),
+        key=lambda x: int(x.split(sep)[-1].replace(".png", ""))
+    ))
+    status("swapping in progress...")
+    start_processing()
+    status("creating video...")
+    create_video(video_name, exact_fps, output_dir)
+    status("adding audio...")
+    add_audio(output_dir, target_path, video_name_full, args['keep_frames'], args['output_file'])
+    save_path = args['output_file'] if args['output_file'] else output_dir + "/" + video_name + ".mp4"
+    print("\n\nVideo saved as:", save_path, "\n\n")
+    status("swap successful!")
+
+
+if __name__ == "__main__":
+    global status_label, window
+
+    pre_check()
+    limit_resources()
+
+    if args['source_img']:
+        args['cli_mode'] = True
+        start()
+        quit()
+    window = tk.Tk()
+    window.geometry("600x700")
+    window.title("roop")
+    window.configure(bg="#2d3436")
+    window.resizable(width=False, height=False)
+
+    # Contact information
+    support_link = tk.Label(window, text="Donate to project <3", fg="#fd79a8", bg="#2d3436", cursor="hand2", font=("Arial", 8))
+    support_link.place(x=180,y=20,width=250,height=30)
+    support_link.bind("<Button-1>", lambda e: webbrowser.open("https://github.com/sponsors/s0md3v"))
+
+    # Select a face button
+    face_button = tk.Button(window, text="Select a face", command=select_face, bg="#2d3436", fg="#74b9ff", highlightthickness=4, relief="flat", highlightbackground="#74b9ff", activebackground="#74b9ff", borderwidth=4)
+    face_button.place(x=60,y=320,width=180,height=80)
+
+    # Select a target button
+    target_button = tk.Button(window, text="Select a target", command=select_target, bg="#2d3436", fg="#74b9ff", highlightthickness=4, relief="flat", highlightbackground="#74b9ff", activebackground="#74b9ff", borderwidth=4)
+    target_button.place(x=360,y=320,width=180,height=80)
+
+    # FPS limit checkbox
+    limit_fps = tk.IntVar()
+    fps_checkbox = tk.Checkbutton(window, relief="groove", activebackground="#2d3436", activeforeground="#74b9ff", selectcolor="black", text="Limit FPS to 30", fg="#dfe6e9", borderwidth=0, highlightthickness=0, bg="#2d3436", variable=limit_fps, command=toggle_fps_limit)
+    fps_checkbox.place(x=30,y=500,width=240,height=31)
+    fps_checkbox.select()
+
+    # Keep frames checkbox
+    keep_frames = tk.IntVar()
+    frames_checkbox = tk.Checkbutton(window, relief="groove", activebackground="#2d3436", activeforeground="#74b9ff", selectcolor="black", text="Keep frames dir", fg="#dfe6e9", borderwidth=0, highlightthickness=0, bg="#2d3436", variable=keep_frames, command=toggle_keep_frames)
+    frames_checkbox.place(x=37,y=450,width=240,height=31)
+
+    # Start button
+    start_button = tk.Button(window, text="Start", bg="#f1c40f", relief="flat", borderwidth=0, highlightthickness=0, command=lambda: [save_file(), start()])
+    start_button.place(x=240,y=560,width=120,height=49)
+
+    # Status label
+    status_label = tk.Label(window, width=580, justify="center", text="Status: waiting for input...", fg="#2ecc71", bg="#2d3436")
+    status_label.place(x=10,y=640,width=580,height=30)
+    
+    window.mainloop()