下一代的AI换脸器实现

FaceFusion ========== > Next generation face swapper and enhancer. [](https://github.com/facefusion/facefusion/actions?query=workflow:ci)  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](https://join.facefusion.io) community that will guide you to complete the installation. Get started with the [installation](https://docs.facefusion.io/installation) guide. Usage ----- Run the command: ``` python run.py [options] options: -h, --help show this help message and exit -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: --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-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 [0.0-1.0] filter the detected faces base on the confidence score --face-landmarker-score [0.0-1.0] 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 [0.0-1.5] 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 [0.0-1.0] 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, 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