Compare commits
No commits in common. "main" and "cuda_deep-live-cam" have entirely different histories.
main
...
cuda_deep-
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@ -6,16 +6,14 @@ __pycache__/
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.todo
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*.log
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*.backup
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tf_env/
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*.png
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*.mp4
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*.mkv
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.tmp/
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temp/
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.venv/
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venv/
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env/
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workflow/
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gfpgan/
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models/inswapper_128.onnx
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@ -1 +0,0 @@
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Please always push on the experimental to ensure we don't mess with the main branch. All the test will be done on the experimental and will be pushed to the main branch after few days of testing.
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14
README.md
14
README.md
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@ -4,9 +4,9 @@
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## Disclaimer
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This software is meant to be a productive contribution to the rapidly growing AI-generated media industry. It will help artists with tasks such as animating a custom character or using the character as a model for clothing etc.
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The developers of this software are aware of its possible unethical applications and are committed to take preventative measures against them. It has a built-in check which prevents the program from working on inappropriate media including but not limited to nudity, graphic content, sensitive material such as war footage etc. We will continue to develop this project in the positive direction while adhering to law and ethics. This project may be shut down or include watermarks on the output if requested by law.
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The developers of this software are aware of its possible unethical applicaitons and are committed to take preventative measures against them. It has a built-in check which prevents the program from working on inappropriate media including but not limited to nudity, graphic content, sensitive material such as war footage etc. We will continue to develop this project in the positive direction while adhering to law and ethics. This project may be shut down or include watermarks on the output if requested by law.
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Users of this software are expected to use this software responsibly while abiding by local laws. If the face of a real person is being used, users are required to get consent from the concerned person and clearly mention that it is a deepfake when posting content online. Developers of this software will not be responsible for actions of end-users.
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Users of this software are expected to use this software responsibly while abiding the local law. If face of a real person is being used, users are suggested to get consent from the concerned person and clearly mention that it is a deepfake when posting content online. Developers of this software will not be responsible for actions of end-users.
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## How do I install it?
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@ -135,7 +135,7 @@ Choose a face (image with desired face) and the target image/video (image/video
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Just follow the clicks on the screenshot
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1. Select a face
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2. Click live
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3. Wait for a few seconds (it takes a longer time, usually 10 to 30 seconds before the preview shows up)
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3. Wait for a few second (it takes a longer time, usually 10 to 30 seconds before the preview shows up)
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@ -166,14 +166,10 @@ options:
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Looking for a CLI mode? Using the -s/--source argument will make the run program in cli mode.
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## Want the Next Update Now?
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If you want the latest and greatest build, or want to see some new great features, go to our [experimental branch](https://github.com/hacksider/Deep-Live-Cam/tree/experimental) and experience what the contributors have given.
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## Credits
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- [henryruhs](https://github.com/henryruhs): for being an irreplaceable contributor to the project
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- [ffmpeg](https://ffmpeg.org/): for making video related operations easy
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- [deepinsight](https://github.com/deepinsight): for their [insightface](https://github.com/deepinsight/insightface) project which provided a well-made library and models.
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- [havok2-htwo](https://github.com/havok2-htwo) : for sharing the code for webcam
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- [GosuDRM](https://github.com/GosuDRM/nsfw-roop) : for uncensoring roop
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- and [all developers](https://github.com/hacksider/Deep-Live-Cam/graphs/contributors) behind libraries used in this project.
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- Foot Note: [This is originally roop-cam, see the full history of the code here.](https://github.com/hacksider/roop-cam) Please be informed that the base author of the code is [s0md3v](https://github.com/s0md3v/roop)
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- and all developers behind libraries used in this project.
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@ -74,7 +74,7 @@ def parse_args() -> None:
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modules.globals.fp_ui['face_enhancer'] = True
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else:
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modules.globals.fp_ui['face_enhancer'] = False
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modules.globals.nsfw = False
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# translate deprecated args
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@ -165,6 +165,7 @@ def update_status(message: str, scope: str = 'DLC.CORE') -> None:
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if not modules.globals.headless:
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ui.update_status(message)
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def start() -> None:
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for frame_processor in get_frame_processors_modules(modules.globals.frame_processors):
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if not frame_processor.pre_start():
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@ -2,7 +2,6 @@ from typing import Any, List
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import cv2
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import threading
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import gfpgan
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import os
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import modules.globals
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import modules.processors.frame.core
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@ -35,11 +34,8 @@ def get_face_enhancer() -> Any:
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with THREAD_LOCK:
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if FACE_ENHANCER is None:
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if os.name == 'nt':
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model_path = resolve_relative_path('..\models\GFPGANv1.4.pth')
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# todo: set models path https://github.com/TencentARC/GFPGAN/issues/399
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else:
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model_path = resolve_relative_path('../models/GFPGANv1.4.pth')
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model_path = resolve_relative_path('..\models\GFPGANv1.4.pth')
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# todo: set models path https://github.com/TencentARC/GFPGAN/issues/399
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FACE_ENHANCER = gfpgan.GFPGANer(model_path=model_path, upscale=1) # type: ignore[attr-defined]
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return FACE_ENHANCER
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@ -61,11 +61,11 @@ def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.C
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target_label = ctk.CTkLabel(root, text=None)
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target_label.place(relx=0.6, rely=0.1, relwidth=0.3, relheight=0.25)
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select_face_button = ctk.CTkButton(root, text='Select a face', cursor='hand2', command=lambda: select_source_path())
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select_face_button.place(relx=0.1, rely=0.4, relwidth=0.3, relheight=0.1)
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source_button = ctk.CTkButton(root, text='Select a face', cursor='hand2', command=lambda: select_source_path())
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source_button.place(relx=0.1, rely=0.4, relwidth=0.3, relheight=0.1)
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select_target_button = ctk.CTkButton(root, text='Select a target', cursor='hand2', command=lambda: select_target_path())
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select_target_button.place(relx=0.6, rely=0.4, relwidth=0.3, relheight=0.1)
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target_button = ctk.CTkButton(root, text='Select a target', cursor='hand2', command=lambda: select_target_path())
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target_button.place(relx=0.6, rely=0.4, relwidth=0.3, relheight=0.1)
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keep_fps_value = ctk.BooleanVar(value=modules.globals.keep_fps)
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keep_fps_checkbox = ctk.CTkSwitch(root, text='Keep fps', variable=keep_fps_value, cursor='hand2', command=lambda: setattr(modules.globals, 'keep_fps', not modules.globals.keep_fps))
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@ -88,9 +88,9 @@ def create_root(start: Callable[[], None], destroy: Callable[[], None]) -> ctk.C
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many_faces_switch = ctk.CTkSwitch(root, text='Many faces', variable=many_faces_value, cursor='hand2', command=lambda: setattr(modules.globals, 'many_faces', many_faces_value.get()))
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many_faces_switch.place(relx=0.6, rely=0.65)
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# nsfw_value = ctk.BooleanVar(value=modules.globals.nsfw)
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# nsfw_switch = ctk.CTkSwitch(root, text='NSFW', variable=nsfw_value, cursor='hand2', command=lambda: setattr(modules.globals, 'nsfw', nsfw_value.get()))
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# nsfw_switch.place(relx=0.6, rely=0.7)
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nsfw_value = ctk.BooleanVar(value=modules.globals.nsfw)
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nsfw_switch = ctk.CTkSwitch(root, text='NSFW', variable=nsfw_value, cursor='hand2', command=lambda: setattr(modules.globals, 'nsfw', nsfw_value.get()))
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nsfw_switch.place(relx=0.6, rely=0.7)
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start_button = ctk.CTkButton(root, text='Start', cursor='hand2', command=lambda: select_output_path(start))
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start_button.place(relx=0.15, rely=0.80, relwidth=0.2, relheight=0.05)
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@ -253,7 +253,7 @@ def webcam_preview():
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if modules.globals.source_path is None:
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# No image selected
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return
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global preview_label, PREVIEW
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cap = cv2.VideoCapture(0) # Use index for the webcam (adjust the index accordingly if necessary)
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@ -292,8 +292,5 @@ def webcam_preview():
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preview_label.configure(image=image)
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ROOT.update()
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if PREVIEW.state() == 'withdrawn':
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break
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cap.release()
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PREVIEW.withdraw() # Close preview window when loop is finished
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PREVIEW.withdraw() # Close preview window when loop is finished
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@ -1,6 +1,6 @@
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--extra-index-url https://download.pytorch.org/whl/cu118
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numpy==1.23.5
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numpy==1.24.3
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opencv-python==4.8.1.78
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onnx==1.16.0
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insightface==0.7.3
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@ -16,8 +16,8 @@ onnxruntime==1.18.0; sys_platform == 'darwin' and platform_machine != 'arm64'
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onnxruntime-silicon==1.16.3; sys_platform == 'darwin' and platform_machine == 'arm64'
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onnxruntime-gpu==1.18.0; sys_platform != 'darwin'
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tensorflow==2.13.0rc1; sys_platform == 'darwin'
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tensorflow==2.12.1; sys_platform != 'darwin'
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tensorflow==2.12.0; sys_platform != 'darwin'
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opennsfw2==0.10.2
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protobuf==4.23.2
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tqdm==4.66.4
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gfpgan==1.3.8
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gfpgan==1.3.8
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@ -1,122 +0,0 @@
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@echo off
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setlocal EnableDelayedExpansion
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:: 1. Setup your platform
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echo Setting up your platform...
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:: Python
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where python >nul 2>&1
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if %ERRORLEVEL% neq 0 (
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echo Python is not installed. Please install Python 3.10 or later.
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pause
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exit /b
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)
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:: Pip
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where pip >nul 2>&1
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if %ERRORLEVEL% neq 0 (
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echo Pip is not installed. Please install Pip.
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pause
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exit /b
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)
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:: Git
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where git >nul 2>&1
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if %ERRORLEVEL% neq 0 (
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echo Git is not installed. Installing Git...
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winget install --id Git.Git -e --source winget
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)
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:: FFMPEG
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where ffmpeg >nul 2>&1
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if %ERRORLEVEL% neq 0 (
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echo FFMPEG is not installed. Installing FFMPEG...
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winget install --id Gyan.FFmpeg -e --source winget
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)
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:: Visual Studio 2022 Runtimes
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echo Installing Visual Studio 2022 Runtimes...
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winget install --id Microsoft.VC++2015-2022Redist-x64 -e --source winget
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:: 2. Clone Repository
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if exist Deep-Live-Cam (
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echo Deep-Live-Cam directory already exists.
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set /p overwrite="Do you want to overwrite? (Y/N): "
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if /i "%overwrite%"=="Y" (
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rmdir /s /q Deep-Live-Cam
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git clone https://github.com/hacksider/Deep-Live-Cam.git
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) else (
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echo Skipping clone, using existing directory.
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)
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) else (
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git clone https://github.com/hacksider/Deep-Live-Cam.git
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)
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cd Deep-Live-Cam
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:: 3. Download Models
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echo Downloading models...
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mkdir models
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curl -L -o models/GFPGANv1.4.pth https://path.to.model/GFPGANv1.4.pth
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curl -L -o models/inswapper_128_fp16.onnx https://path.to.model/inswapper_128_fp16.onnx
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:: 4. Install dependencies
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echo Creating a virtual environment...
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python -m venv venv
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call venv\Scripts\activate
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echo Installing required Python packages...
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pip install --upgrade pip
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pip install -r requirements.txt
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echo Setup complete. You can now run the application.
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:: GPU Acceleration Options
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echo.
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echo Choose the GPU Acceleration Option if applicable:
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echo 1. CUDA (Nvidia)
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echo 2. CoreML (Apple Silicon)
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echo 3. CoreML (Apple Legacy)
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echo 4. DirectML (Windows)
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echo 5. OpenVINO (Intel)
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echo 6. None
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set /p choice="Enter your choice (1-6): "
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if "%choice%"=="1" (
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echo Installing CUDA dependencies...
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pip uninstall -y onnxruntime onnxruntime-gpu
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pip install onnxruntime-gpu==1.16.3
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set exec_provider="cuda"
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) else if "%choice%"=="2" (
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echo Installing CoreML (Apple Silicon) dependencies...
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pip uninstall -y onnxruntime onnxruntime-silicon
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pip install onnxruntime-silicon==1.13.1
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set exec_provider="coreml"
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) else if "%choice%"=="3" (
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echo Installing CoreML (Apple Legacy) dependencies...
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pip uninstall -y onnxruntime onnxruntime-coreml
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pip install onnxruntime-coreml==1.13.1
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set exec_provider="coreml"
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) else if "%choice%"=="4" (
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echo Installing DirectML dependencies...
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pip uninstall -y onnxruntime onnxruntime-directml
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pip install onnxruntime-directml==1.15.1
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set exec_provider="directml"
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) else if "%choice%"=="5" (
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echo Installing OpenVINO dependencies...
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pip uninstall -y onnxruntime onnxruntime-openvino
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pip install onnxruntime-openvino==1.15.0
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set exec_provider="openvino"
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) else (
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echo Skipping GPU acceleration setup.
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)
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:: Run the application
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if defined exec_provider (
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echo Running the application with %exec_provider% execution provider...
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python run.py --execution-provider %exec_provider%
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) else (
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echo Running the application...
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python run.py
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)
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pause
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Reference in New Issue