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Configuration error
Configuration error
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Parent(s):
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Upload 10 files
Browse files- .editorconfig +8 -0
- .flake8 +3 -0
- .gitignore +3 -0
- LICENSE.md +3 -0
- README.md +113 -13
- facefusion.ini +74 -0
- install.py +12 -0
- mypy.ini +7 -0
- requirements.txt +9 -0
- run.py +6 -0
.editorconfig
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root = true
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[*]
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end_of_line = lf
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insert_final_newline = true
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indent_size = 4
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indent_style = tab
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trim_trailing_whitespace = true
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.flake8
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[flake8]
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select = E3, E4, F
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per-file-ignores = facefusion/core.py:E402
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.gitignore
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.assets
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.idea
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.vscode
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LICENSE.md
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MIT license
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Copyright (c) 2024 Henry Ruhs
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README.md
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FaceFusion
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==========
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> Next generation face swapper and enhancer.
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[](https://github.com/facefusion/facefusion/actions?query=workflow:ci)
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Preview
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-------
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Installation
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------------
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Be aware, the [installation](https://docs.facefusion.io/installation) needs technical skills and is not recommended for beginners. In case you are not comfortable using a terminal, our [Windows Installer](https://buymeacoffee.com/henryruhs/e/251939) can have you up and running in minutes.
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Usage
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-----
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Run the command:
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```
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python run.py [options]
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options:
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-h, --help show this help message and exit
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-c CONFIG_PATH, --config CONFIG_PATH choose the config file to override defaults
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-s SOURCE_PATHS, --source SOURCE_PATHS choose single or multiple source images or audios
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-t TARGET_PATH, --target TARGET_PATH choose single target image or video
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-o OUTPUT_PATH, --output OUTPUT_PATH specify the output file or directory
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-v, --version show program's version number and exit
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misc:
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--force-download force automate downloads and exit
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--skip-download omit automate downloads and remote lookups
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--headless run the program without a user interface
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--log-level {error,warn,info,debug} adjust the message severity displayed in the terminal
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execution:
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--execution-device-id EXECUTION_DEVICE_ID specify the device used for processing
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--execution-providers EXECUTION_PROVIDERS [EXECUTION_PROVIDERS ...] accelerate the model inference using different providers (choices: cpu, ...)
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--execution-thread-count [1-128] specify the amount of parallel threads while processing
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--execution-queue-count [1-32] specify the amount of frames each thread is processing
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memory:
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--video-memory-strategy {strict,moderate,tolerant} balance fast frame processing and low VRAM usage
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--system-memory-limit [0-128] limit the available RAM that can be used while processing
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face analyser:
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--face-analyser-order {left-right,right-left,top-bottom,bottom-top,small-large,large-small,best-worst,worst-best} specify the order in which the face analyser detects faces
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--face-analyser-age {child,teen,adult,senior} filter the detected faces based on their age
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--face-analyser-gender {female,male} filter the detected faces based on their gender
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--face-detector-model {many,retinaface,scrfd,yoloface,yunet} choose the model responsible for detecting the face
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--face-detector-size FACE_DETECTOR_SIZE specify the size of the frame provided to the face detector
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--face-detector-score [0.0-0.95] filter the detected faces base on the confidence score
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--face-landmarker-score [0.0-0.95] filter the detected landmarks base on the confidence score
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face selector:
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--face-selector-mode {many,one,reference} use reference based tracking or simple matching
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--reference-face-position REFERENCE_FACE_POSITION specify the position used to create the reference face
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--reference-face-distance [0.0-1.45] specify the desired similarity between the reference face and target face
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--reference-frame-number REFERENCE_FRAME_NUMBER specify the frame used to create the reference face
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face mask:
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--face-mask-types FACE_MASK_TYPES [FACE_MASK_TYPES ...] mix and match different face mask types (choices: box, occlusion, region)
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--face-mask-blur [0.0-0.95] specify the degree of blur applied the box mask
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--face-mask-padding FACE_MASK_PADDING [FACE_MASK_PADDING ...] apply top, right, bottom and left padding to the box mask
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--face-mask-regions FACE_MASK_REGIONS [FACE_MASK_REGIONS ...] choose the facial features used for the region mask (choices: skin, left-eyebrow, right-eyebrow, left-eye, right-eye, glasses, nose, mouth, upper-lip, lower-lip)
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frame extraction:
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--trim-frame-start TRIM_FRAME_START specify the the start frame of the target video
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--trim-frame-end TRIM_FRAME_END specify the the end frame of the target video
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--temp-frame-format {bmp,jpg,png} specify the temporary resources format
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--keep-temp keep the temporary resources after processing
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output creation:
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--output-image-quality [0-100] specify the image quality which translates to the compression factor
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--output-image-resolution OUTPUT_IMAGE_RESOLUTION specify the image output resolution based on the target image
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--output-video-encoder {libx264,libx265,libvpx-vp9,h264_nvenc,hevc_nvenc,h264_amf,hevc_amf} specify the encoder use for the video compression
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--output-video-preset {ultrafast,superfast,veryfast,faster,fast,medium,slow,slower,veryslow} balance fast video processing and video file size
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--output-video-quality [0-100] specify the video quality which translates to the compression factor
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--output-video-resolution OUTPUT_VIDEO_RESOLUTION specify the video output resolution based on the target video
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--output-video-fps OUTPUT_VIDEO_FPS specify the video output fps based on the target video
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--skip-audio omit the audio from the target video
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frame processors:
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--frame-processors FRAME_PROCESSORS [FRAME_PROCESSORS ...] load a single or multiple frame processors. (choices: face_debugger, face_enhancer, face_swapper, frame_colorizer, frame_enhancer, lip_syncer, ...)
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--face-debugger-items FACE_DEBUGGER_ITEMS [FACE_DEBUGGER_ITEMS ...] load a single or multiple frame processors (choices: bounding-box, face-landmark-5, face-landmark-5/68, face-landmark-68, face-landmark-68/5, face-mask, face-detector-score, face-landmarker-score, age, gender)
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--face-enhancer-model {codeformer,gfpgan_1.2,gfpgan_1.3,gfpgan_1.4,gpen_bfr_256,gpen_bfr_512,gpen_bfr_1024,gpen_bfr_2048,restoreformer_plus_plus} choose the model responsible for enhancing the face
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--face-enhancer-blend [0-100] blend the enhanced into the previous face
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--face-swapper-model {blendswap_256,inswapper_128,inswapper_128_fp16,simswap_256,simswap_512_unofficial,uniface_256} choose the model responsible for swapping the face
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--frame-colorizer-model {ddcolor,ddcolor_artistic,deoldify,deoldify_artistic,deoldify_stable} choose the model responsible for colorizing the frame
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--frame-colorizer-blend [0-100] blend the colorized into the previous frame
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--frame-colorizer-size {192x192,256x256,384x384,512x512} specify the size of the frame provided to the frame colorizer
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--frame-enhancer-model {clear_reality_x4,lsdir_x4,nomos8k_sc_x4,real_esrgan_x2,real_esrgan_x2_fp16,real_esrgan_x4,real_esrgan_x4_fp16,real_hatgan_x4,span_kendata_x4,ultra_sharp_x4} choose the model responsible for enhancing the frame
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--frame-enhancer-blend [0-100] blend the enhanced into the previous frame
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--lip-syncer-model {wav2lip_gan} choose the model responsible for syncing the lips
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uis:
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--open-browser open the browser once the program is ready
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--ui-layouts UI_LAYOUTS [UI_LAYOUTS ...] launch a single or multiple UI layouts (choices: benchmark, default, webcam, ...)
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```
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Documentation
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-------------
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Read the [documentation](https://docs.facefusion.io) for a deep dive.
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facefusion.ini
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[general]
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source_paths =
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target_path =
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output_path =
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[misc]
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force_download =
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skip_download =
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headless =
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log_level =
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[execution]
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execution_device_id =
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execution_providers =
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execution_thread_count =
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execution_queue_count =
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[memory]
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video_memory_strategy =
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system_memory_limit =
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[face_analyser]
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face_analyser_order =
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face_analyser_age =
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face_analyser_gender =
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face_detector_model =
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face_detector_size =
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face_detector_score =
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face_landmarker_score =
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[face_selector]
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face_selector_mode =
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reference_face_position =
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reference_face_distance =
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reference_frame_number =
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[face_mask]
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face_mask_types =
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face_mask_blur =
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face_mask_padding =
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face_mask_regions =
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[frame_extraction]
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trim_frame_start =
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trim_frame_end =
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temp_frame_format =
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keep_temp =
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[output_creation]
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output_image_quality =
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output_image_resolution =
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output_video_encoder =
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output_video_preset =
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output_video_quality =
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output_video_resolution =
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output_video_fps =
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skip_audio =
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[frame_processors]
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frame_processors =
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face_debugger_items =
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face_enhancer_model =
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face_enhancer_blend =
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face_swapper_model =
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frame_colorizer_model =
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frame_colorizer_blend =
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frame_colorizer_size =
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frame_enhancer_model =
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frame_enhancer_blend =
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lip_syncer_model =
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[uis]
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open_browser =
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ui_layouts =
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install.py
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#!/usr/bin/env python3
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import os
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import subprocess
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os.environ['PIP_BREAK_SYSTEM_PACKAGES'] = '1'
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subprocess.call([ 'pip', 'install', 'inquirer', '-q' ])
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from facefusion import installer
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if __name__ == '__main__':
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installer.cli()
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mypy.ini
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[mypy]
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check_untyped_defs = True
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disallow_any_generics = True
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disallow_untyped_calls = True
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disallow_untyped_defs = True
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ignore_missing_imports = True
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strict_optional = False
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requirements.txt
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filetype==1.2.0
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gradio==3.50.2
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numpy==1.26.4
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onnx==1.16.0
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onnxruntime==1.17.3
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opencv-python==4.9.0.80
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psutil==5.9.8
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tqdm==4.66.4
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scipy==1.13.0
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run.py
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#!/usr/bin/env python3
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from facefusion import core
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if __name__ == '__main__':
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core.cli()
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