利用AI深度学习技术实现AI换脸,该工具通过人脸识别、表情跟踪、换脸三步走的形式实现AI换脸功能。

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README.md

FaceFusion

Next generation face swapper and enhancer.

Build Status License

Preview

Preview

Installation

Be aware, the installation needs technical skills and is not recommended for beginners. In case you are not comfortable using a terminal, our Windows Installer can have you up and running in minutes.

Usage

Run the command:

python run.py [options]

options:
  -h, --help                                                                                                                                                                            show this help message and exit
  -c CONFIG_PATH, --config CONFIG_PATH                                                                                                                                                  choose the config file to override defaults
  -s SOURCE_PATHS, --source SOURCE_PATHS                                                                                                                                                choose single or multiple source images or audios
  -t TARGET_PATH, --target TARGET_PATH                                                                                                                                                  choose single 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:
  --force-download                                                                                                                                                                      force automate downloads and exit
  --skip-download                                                                                                                                                                       omit automate downloads and remote lookups
  --headless                                                                                                                                                                            run the program without a user interface
  --log-level {error,warn,info,debug}                                                                                                                                                   adjust the message severity displayed in the terminal

execution:
  --execution-device-id EXECUTION_DEVICE_ID                                                                                                                                             specify the device used for processing
  --execution-providers EXECUTION_PROVIDERS [EXECUTION_PROVIDERS ...]                                                                                                                   accelerate the model inference using different providers (choices: cpu, ...)
  --execution-thread-count [1-128]                                                                                                                                                      specify the amount of parallel threads while processing
  --execution-queue-count [1-32]                                                                                                                                                        specify the amount of frames each thread is processing

memory:
  --video-memory-strategy {strict,moderate,tolerant}                                                                                                                                    balance fast frame processing and low VRAM usage
  --system-memory-limit [0-128]                                                                                                                                                         limit the available RAM that can be used while processing

face analyser:
  --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
  --face-analyser-age {child,teen,adult,senior}                                                                                                                                         filter the detected faces based on their age
  --face-analyser-gender {female,male}                                                                                                                                                  filter the detected faces based on their gender
  --face-detector-model {many,retinaface,scrfd,yoloface,yunet}                                                                                                                          choose the model responsible for detecting the face
  --face-detector-size FACE_DETECTOR_SIZE                                                                                                                                               specify the size of the frame provided to the face detector
  --face-detector-score [0.0-0.95]                                                                                                                                                      filter the detected faces base on the confidence score
  --face-landmarker-score [0.0-0.95]                                                                                                                                                    filter the detected landmarks base on the confidence score

face selector:
  --face-selector-mode {many,one,reference}                                                                                                                                             use reference based tracking or simple matching
  --reference-face-position REFERENCE_FACE_POSITION                                                                                                                                     specify the position used to create the reference face
  --reference-face-distance [0.0-1.45]                                                                                                                                                  specify the desired similarity between the reference face and target face
  --reference-frame-number REFERENCE_FRAME_NUMBER                                                                                                                                       specify the frame used to create the reference face

face mask:
  --face-mask-types FACE_MASK_TYPES [FACE_MASK_TYPES ...]                                                                                                                               mix and match different face mask types (choices: box, occlusion, region)
  --face-mask-blur [0.0-0.95]                                                                                                                                                           specify the degree of blur applied the box mask
  --face-mask-padding FACE_MASK_PADDING [FACE_MASK_PADDING ...]                                                                                                                         apply top, right, bottom and left padding to the box mask
  --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)

frame extraction:
  --trim-frame-start TRIM_FRAME_START                                                                                                                                                   specify the the start frame of the target video
  --trim-frame-end TRIM_FRAME_END                                                                                                                                                       specify the the end frame of the target video
  --temp-frame-format {bmp,jpg,png}                                                                                                                                                     specify the temporary resources format
  --keep-temp                                                                                                                                                                           keep the temporary resources after processing

output creation:
  --output-image-quality [0-100]                                                                                                                                                        specify the image quality which translates to the compression factor
  --output-image-resolution OUTPUT_IMAGE_RESOLUTION                                                                                                                                     specify the image output resolution based on the target image
  --output-video-encoder {libx264,libx265,libvpx-vp9,h264_nvenc,hevc_nvenc,h264_amf,hevc_amf}                                                                                           specify the encoder use for the video compression
  --output-video-preset {ultrafast,superfast,veryfast,faster,fast,medium,slow,slower,veryslow}                                                                                          balance fast video processing and video file size
  --output-video-quality [0-100]                                                                                                                                                        specify the video quality which translates to the compression factor
  --output-video-resolution OUTPUT_VIDEO_RESOLUTION                                                                                                                                     specify the video output resolution based on the target video
  --output-video-fps OUTPUT_VIDEO_FPS                                                                                                                                                   specify the video output fps based on the target video
  --skip-audio                                                                                                                                                                          omit the audio from the target video

frame processors:
  --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, ...)
  --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)
  --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
  --face-enhancer-blend [0-100]                                                                                                                                                         blend the enhanced into the previous face
  --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
  --frame-colorizer-model {ddcolor,ddcolor_artistic,deoldify,deoldify_artistic,deoldify_stable}                                                                                         choose the model responsible for colorizing the frame
  --frame-colorizer-blend [0-100]                                                                                                                                                       blend the colorized into the previous frame
  --frame-colorizer-size {192x192,256x256,384x384,512x512}                                                                                                                              specify the size of the frame provided to the frame colorizer
  --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
  --frame-enhancer-blend [0-100]                                                                                                                                                        blend the enhanced into the previous frame
  --lip-syncer-model {wav2lip_gan}                                                                                                                                                      choose the model responsible for syncing the lips

uis:
  --open-browser                                                                                                                                                                        open the browser once the program is ready
  --ui-layouts UI_LAYOUTS [UI_LAYOUTS ...]                                                                                                                                              launch a single or multiple UI layouts (choices: benchmark, default, webcam, ...)

Documentation

Read the documentation for a deep dive.