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README.md
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Installation
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------------
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Be aware, the installation needs technical skills and is not for beginners. Please do not open platform and installation related issues on GitHub. We have a very helpful [Discord](https://join.facefusion.io) community that will guide you to complete the installation.
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Get started with the [installation](https://docs.facefusion.io/installation) guide.
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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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-s SOURCE_PATHS, --source SOURCE_PATHS select a source image
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-t TARGET_PATH, --target TARGET_PATH select a 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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--skip-download omit automate downloads and lookups
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--headless run the program in headless mode
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--log-level {error,warn,info,debug} choose from the available log levels
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execution:
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--execution-providers EXECUTION_PROVIDERS [EXECUTION_PROVIDERS ...] choose from the available execution providers (choices: cpu, ...)
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--execution-thread-count [1-128] specify the number of execution threads
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--execution-queue-count [1-32] specify the number of execution queries
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--max-memory [0-128] specify the maximum amount of ram to be used (in gb)
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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 used for the face analyser
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--face-analyser-age {child,teen,adult,senior} specify the age used for the face analyser
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--face-analyser-gender {male,female} specify the gender used for the face analyser
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--face-detector-model {retinaface,yunet} specify the model used for the face detector
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--face-detector-size {160x160,320x320,480x480,512x512,640x640,768x768,960x960,1024x1024} specify the size threshold used for the face detector
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--face-detector-score [0.0-1.0] specify the score threshold used for the face detector
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face selector:
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--face-selector-mode {reference,one,many} specify the mode for the face selector
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--reference-face-position REFERENCE_FACE_POSITION specify the position of the reference face
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--reference-face-distance [0.0-1.5] specify the distance between the reference face and the target face
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--reference-frame-number REFERENCE_FRAME_NUMBER specify the number of the reference frame
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face mask:
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--face-mask-types FACE_MASK_TYPES [FACE_MASK_TYPES ...] choose from the available face mask types (choices: box, occlusion, region)
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--face-mask-blur [0.0-1.0] specify the blur amount for face mask
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--face-mask-padding FACE_MASK_PADDING [FACE_MASK_PADDING ...] specify the face mask padding (top, right, bottom, left) in percent
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--face-mask-regions FACE_MASK_REGIONS [FACE_MASK_REGIONS ...] choose from the available face mask regions (choices: skin, left-eyebrow, right-eyebrow, left-eye, right-eye, 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 start frame for extraction
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--trim-frame-end TRIM_FRAME_END specify the end frame for extraction
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--temp-frame-format {jpg,png} specify the image format used for frame extraction
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--temp-frame-quality [0-100] specify the image quality used for frame extraction
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--keep-temp retain temporary frames after processing
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output creation:
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--output-image-quality [0-100] specify the quality used for the output image
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--output-video-encoder {libx264,libx265,libvpx-vp9,h264_nvenc,hevc_nvenc} specify the encoder used for the output video
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--output-video-quality [0-100] specify the quality used for the output video
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--keep-fps preserve the frames per second (fps) of the target
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--skip-audio omit audio from the target
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frame processors:
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--frame-processors FRAME_PROCESSORS [FRAME_PROCESSORS ...] choose from the available frame processors (choices: face_debugger, face_enhancer, face_swapper, frame_enhancer, ...)
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--face-debugger-items FACE_DEBUGGER_ITEMS [FACE_DEBUGGER_ITEMS ...] specify the face debugger items (choices: bbox, kps, face-mask, score)
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--face-enhancer-model {codeformer,gfpgan_1.2,gfpgan_1.3,gfpgan_1.4,gpen_bfr_256,gpen_bfr_512,restoreformer} choose the model for the frame processor
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--face-enhancer-blend [0-100] specify the blend amount for the frame processor
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--face-swapper-model {blendswap_256,inswapper_128,inswapper_128_fp16,simswap_256,simswap_512_unofficial} choose the model for the frame processor
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--frame-enhancer-model {real_esrgan_x2plus,real_esrgan_x4plus,real_esrnet_x4plus} choose the model for the frame processor
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--frame-enhancer-blend [0-100] specify the blend amount for the frame processor
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uis:
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--ui-layouts UI_LAYOUTS [UI_LAYOUTS ...] choose from the available ui layouts (choices: benchmark, webcam, default, ...)
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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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---
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title: DeepFakeAI
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emoji: 🤖
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colorFrom: red
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colorTo: gray
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sdk: gradio
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sdk_version: 3.41.0
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app_file: app.py
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pinned: false
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license: mit
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---
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