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@ -1,6 +1,5 @@
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## Deep Live Cam
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@ -45,7 +44,7 @@ Track and change faces on the fly.
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## Quick Start (Windows / Nvidia)
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[Download latest pre-built version with CUDA support](https://hacksider.gumroad.com/l/vccdmm) - No Manual Installation/Downloading required.
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[Download pre-built version with CUDA support](https://hacksider.gumroad.com/l/vccdmm)
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## Installation (Manual)
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@ -70,7 +69,7 @@ https://github.com/hacksider/Deep-Live-Cam.git
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**3. Download Models**
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1. [GFPGANv1.4](https://huggingface.co/hacksider/deep-live-cam/resolve/main/GFPGANv1.4.pth)
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2. [inswapper_128_fp16.onnx](https://huggingface.co/hacksider/deep-live-cam/resolve/main/inswapper_128.onnx) (Note: Use this [replacement version](https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128.onnx) if you encounter issues)
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2. [inswapper_128_fp16.onnx](https://huggingface.co/hacksider/deep-live-cam/resolve/main/inswapper_128_fp16.onnx) (Note: Use this [replacement version](https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128_fp16.onnx) if you encounter issues)
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Place these files in the "**models**" folder.
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@ -1,3 +1,3 @@
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name = 'Deep Live Cam'
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version = '1.5.0'
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version = '1.4.0'
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edition = 'Portable'
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@ -18,7 +18,7 @@ NAME = 'DLC.FACE-SWAPPER'
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def pre_check() -> bool:
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download_directory_path = resolve_relative_path('../models')
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conditional_download(download_directory_path, ['https://huggingface.co/hacksider/deep-live-cam/blob/main/inswapper_128.onnx'])
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conditional_download(download_directory_path, ['https://huggingface.co/hacksider/deep-live-cam/blob/main/inswapper_128_fp16.onnx'])
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return True
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@ -40,7 +40,7 @@ def get_face_swapper() -> Any:
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with THREAD_LOCK:
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if FACE_SWAPPER is None:
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model_path = resolve_relative_path('../models/inswapper_128.onnx')
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model_path = resolve_relative_path('../models/inswapper_128_fp16.onnx')
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FACE_SWAPPER = insightface.model_zoo.get_model(model_path, providers=modules.globals.execution_providers)
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return FACE_SWAPPER
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158
modules/ui.json
158
modules/ui.json
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@ -1,158 +0,0 @@
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{
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"CTk": {
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"fg_color": ["gray95", "gray10"]
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},
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"CTkToplevel": {
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"fg_color": ["gray95", "gray10"]
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},
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"CTkFrame": {
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"corner_radius": 0,
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"border_width": 0,
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"fg_color": ["gray90", "gray13"],
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"top_fg_color": ["gray85", "gray16"],
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"border_color": ["gray65", "gray28"]
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},
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"CTkButton": {
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"corner_radius": 0,
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"border_width": 0,
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"fg_color": ["#2aa666", "#1f538d"],
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"hover_color": ["#3cb666", "#14375e"],
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"border_color": ["#3e4a40", "#949A9F"],
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"text_color": ["#f3faf6", "#f3faf6"],
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"text_color_disabled": ["gray74", "gray60"]
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},
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"CTkLabel": {
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"corner_radius": 0,
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"fg_color": "transparent",
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"text_color": ["gray14", "gray84"]
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},
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"CTkEntry": {
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"corner_radius": 0,
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"border_width": 2,
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"fg_color": ["#F9F9FA", "#343638"],
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"border_color": ["#979DA2", "#565B5E"],
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"text_color": ["gray14", "gray84"],
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"placeholder_text_color": ["gray52", "gray62"]
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},
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"CTkCheckbox": {
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"corner_radius": 0,
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"border_width": 3,
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"fg_color": ["#2aa666", "#1f538d"],
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"border_color": ["#3e4a40", "#949A9F"],
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"hover_color": ["#3cb666", "#14375e"],
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"checkmark_color": ["#f3faf6", "gray90"],
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"text_color": ["gray14", "gray84"],
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"text_color_disabled": ["gray60", "gray45"]
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},
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"CTkSwitch": {
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"corner_radius": 1000,
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"border_width": 3,
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"button_length": 0,
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"fg_color": ["#939BA2", "#4A4D50"],
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"progress_color": ["#2aa666", "#1f538d"],
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"button_color": ["gray36", "#D5D9DE"],
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"button_hover_color": ["gray20", "gray100"],
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"text_color": ["gray14", "gray84"],
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"text_color_disabled": ["gray60", "gray45"]
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},
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"CTkRadiobutton": {
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"corner_radius": 1000,
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"border_width_checked": 6,
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"border_width_unchecked": 3,
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"fg_color": ["#2aa666", "#1f538d"],
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"border_color": ["#3e4a40", "#949A9F"],
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"hover_color": ["#3cb666", "#14375e"],
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"text_color": ["gray14", "gray84"],
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"text_color_disabled": ["gray60", "gray45"]
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},
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"CTkProgressBar": {
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"corner_radius": 1000,
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"border_width": 0,
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"fg_color": ["#939BA2", "#4A4D50"],
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"progress_color": ["#2aa666", "#1f538d"],
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"border_color": ["gray", "gray"]
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},
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"CTkSlider": {
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"corner_radius": 1000,
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"button_corner_radius": 1000,
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"border_width": 6,
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"button_length": 0,
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"fg_color": ["#939BA2", "#4A4D50"],
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"progress_color": ["gray40", "#AAB0B5"],
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"button_color": ["#2aa666", "#1f538d"],
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"button_hover_color": ["#3cb666", "#14375e"]
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},
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"CTkOptionMenu": {
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"corner_radius": 0,
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"fg_color": ["#2aa666", "#1f538d"],
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"button_color": ["#3cb666", "#14375e"],
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"button_hover_color": ["#234567", "#1e2c40"],
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"text_color": ["#f3faf6", "#f3faf6"],
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"text_color_disabled": ["gray74", "gray60"]
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},
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"CTkComboBox": {
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"corner_radius": 0,
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"border_width": 2,
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"fg_color": ["#F9F9FA", "#343638"],
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"border_color": ["#979DA2", "#565B5E"],
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"button_color": ["#979DA2", "#565B5E"],
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"button_hover_color": ["#6E7174", "#7A848D"],
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"text_color": ["gray14", "gray84"],
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"text_color_disabled": ["gray50", "gray45"]
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},
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"CTkScrollbar": {
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"corner_radius": 1000,
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"border_spacing": 4,
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"fg_color": "transparent",
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"button_color": ["gray55", "gray41"],
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"button_hover_color": ["gray40", "gray53"]
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},
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"CTkSegmentedButton": {
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"corner_radius": 0,
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"border_width": 2,
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"fg_color": ["#979DA2", "gray29"],
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"selected_color": ["#2aa666", "#1f538d"],
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"selected_hover_color": ["#3cb666", "#14375e"],
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"unselected_color": ["#979DA2", "gray29"],
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"unselected_hover_color": ["gray70", "gray41"],
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"text_color": ["#f3faf6", "#f3faf6"],
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"text_color_disabled": ["gray74", "gray60"]
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},
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"CTkTextbox": {
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"corner_radius": 0,
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"border_width": 0,
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"fg_color": ["gray100", "gray20"],
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"border_color": ["#979DA2", "#565B5E"],
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"text_color": ["gray14", "gray84"],
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"scrollbar_button_color": ["gray55", "gray41"],
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"scrollbar_button_hover_color": ["gray40", "gray53"]
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},
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"CTkScrollableFrame": {
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"label_fg_color": ["gray80", "gray21"]
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},
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"DropdownMenu": {
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"fg_color": ["gray90", "gray20"],
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"hover_color": ["gray75", "gray28"],
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"text_color": ["gray14", "gray84"]
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},
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"CTkFont": {
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"macOS": {
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"family": "Avenir",
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"size": 18,
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"weight": "normal"
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},
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"Windows": {
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"family": "Corbel",
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"size": 18,
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"weight": "normal"
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},
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"Linux": {
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"family": "Montserrat",
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"size": 18,
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"weight": "normal"
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}
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},
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"URL": {
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"text_color": ["gray74", "gray60"]
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}
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}
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@ -25,10 +25,6 @@ from modules.utilities import (
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has_image_extension,
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)
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os.environ["QT_AUTO_SCREEN_SCALE_FACTOR"] = "1"
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os.environ["QT_SCREEN_SCALE_FACTORS"] = "1"
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os.environ["QT_SCALE_FACTOR"] = "1"
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ROOT = None
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POPUP = None
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POPUP_LIVE = None
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root.configure(bg="#1a1a1a")
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root.protocol("WM_DELETE_WINDOW", lambda: destroy())
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root.resizable(True, True)
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root.attributes("-alpha", 1.0) # Set window opacity to fully opaque
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main_frame = ctk.CTkFrame(root, fg_color="#1a1a1a")
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main_frame.pack(fill="both", expand=True, padx=20, pady=20)
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@ -884,43 +879,15 @@ def init_preview() -> None:
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def update_preview(frame_number: int = 0) -> None:
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if modules.globals.source_path and modules.globals.target_path:
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update_status("Processing...")
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# Debug: Print the target path and frame number
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print(
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f"Target path: {modules.globals.target_path}, Frame number: {frame_number}"
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)
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temp_frame = None
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if is_video(modules.globals.target_path):
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temp_frame = get_video_frame(modules.globals.target_path, frame_number)
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elif is_image(modules.globals.target_path):
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temp_frame = cv2.imread(modules.globals.target_path)
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# Debug: Check if temp_frame is None
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if temp_frame is None:
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print("Error: temp_frame is None")
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update_status("Error: Could not read frame from video or image.")
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return
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if modules.globals.nsfw_filter and check_and_ignore_nsfw(temp_frame):
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return
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for frame_processor in get_frame_processors_modules(
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modules.globals.frame_processors
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):
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# Debug: Print the type of frame_processor
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print(f"Processing frame with: {type(frame_processor).__name__}")
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temp_frame = frame_processor.process_frame(
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get_one_face(cv2.imread(modules.globals.source_path)), temp_frame
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)
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# Debug: Check if temp_frame is None after processing
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if temp_frame is None:
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print("Error: temp_frame is None after processing")
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update_status("Error: Frame processing failed.")
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return
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image = Image.fromarray(cv2.cvtColor(temp_frame, cv2.COLOR_BGR2RGB))
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image = ImageOps.contain(
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image, (PREVIEW_MAX_WIDTH, PREVIEW_MAX_HEIGHT), Image.LANCZOS
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@ -12,8 +12,10 @@ torch==2.0.1+cu118; sys_platform != 'darwin'
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torch==2.0.1; sys_platform == 'darwin'
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torchvision==0.15.2+cu118; sys_platform != 'darwin'
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torchvision==0.15.2; sys_platform == 'darwin'
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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==1.16.3; sys_platform != 'darwin'
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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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opennsfw2==0.10.2
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protobuf==4.23.2
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