l-fifa-l / facefusion

Next generation face swapper and enhancer

FaceFusion

Next generation face swapper and enhancer.

Preview

Installation

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 community that will guide you to complete the installation.

Get started with the installation guide.

Usage

Run the command:

python run.py [options]

options:
  -h, --help                                                                                                         show this help message and exit
  -s SOURCE_PATH, --source SOURCE_PATH                                                                               select a source image
  -t TARGET_PATH, --target TARGET_PATH                                                                               select a target image or video
  -o OUTPUT_PATH, --output OUTPUT_PATH                                                                               specify the output file or directory
  -v, --version                                                                                                      show program's version number and exit

misc:
  --skip-download                                                                                                    omit automate downloads and lookups
  --headless                                                                                                         run the program in headless mode

execution:
  --execution-providers {cpu} [{cpu} ...]                                                                            choose from the available execution providers
  --execution-thread-count [1-128]                                                                                   specify the number of execution threads
  --execution-queue-count [1-32]                                                                                     specify the number of execution queries
  --max-memory [0-128]                                                                                               specify the maximum amount of ram to be used (in gb)

face analyser:
  --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
  --face-analyser-age {child,teen,adult,senior}                                                                      specify the age used for the face analyser
  --face-analyser-gender {male,female}                                                                               specify the gender used for the face analyser
  --face-detector-model {retinaface,yunet}                                                                           specify the model used for the face detector
  --face-detector-size {160x160,320x320,480x480,512x512,640x640,768x768,960x960,1024x1024}                           specify the size threshold used for the face detector
  --face-detector-score [0.0-1.0]                                                                                    specify the score threshold used for the face detector

face selector:
  --face-selector-mode {reference,one,many}                                                                          specify the mode for the face selector
  --reference-face-position REFERENCE_FACE_POSITION                                                                  specify the position of the reference face
  --reference-face-distance [0.0-1.5]                                                                                specify the distance between the reference face and the target face
  --reference-frame-number REFERENCE_FRAME_NUMBER                                                                    specify the number of the reference frame

face mask:
  --face-mask-blur [0.0-1.0]                                                                                         specify the blur amount for face mask
  --face-mask-padding FACE_MASK_PADDING [FACE_MASK_PADDING ...]                                                      specify the face mask padding (top, right, bottom, left) in percent

frame extraction:
  --trim-frame-start TRIM_FRAME_START                                                                                specify the start frame for extraction
  --trim-frame-end TRIM_FRAME_END                                                                                    specify the end frame for extraction
  --temp-frame-format {jpg,png}                                                                                      specify the image format used for frame extraction
  --temp-frame-quality [0-100]                                                                                       specify the image quality used for frame extraction
  --keep-temp                                                                                                        retain temporary frames after processing

output creation:
  --output-image-quality [0-100]                                                                                     specify the quality used for the output image
  --output-video-encoder {libx264,libx265,libvpx-vp9,h264_nvenc,hevc_nvenc}                                          specify the encoder used for the output video
  --output-video-quality [0-100]                                                                                     specify the quality used for the output video
  --keep-fps                                                                                                         preserve the frames per second (fps) of the target
  --skip-audio                                                                                                       omit audio from the target

frame processors:
  --frame-processors FRAME_PROCESSORS [FRAME_PROCESSORS ...]                                                         choose from the available frame processors (choices: face_debugger, face_enhancer, face_swapper, frame_enhancer, ...)
  --face-debugger-items {bbox,kps,face-mask,score} [{bbox,kps,face-mask,score} ...]                                  specify the face debugger items
  --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
  --face-enhancer-blend [0-100]                                                                                      specify the blend factor for the frame processor
  --face-swapper-model {blendface_256,inswapper_128,inswapper_128_fp16,simswap_256,simswap_512_unofficial}           choose the model for the frame processor
  --frame-enhancer-model {real_esrgan_x2plus,real_esrgan_x4plus,real_esrnet_x4plus}                                  choose the model for the frame processor
  --frame-enhancer-blend [0-100]                                                                                     specify the blend factor for the frame processor

uis:
  --ui-layouts UI_LAYOUTS [UI_LAYOUTS ...]                                                                           choose from the available ui layouts (choices: benchmark, webcam, default, ...)

Documentation

Read the documentation for a deep dive.