FaceFusion：探索无限创意，创造独一无二的面孔融合艺术！

它使用先进的图像处理技术，允许用户将不同的面部特征融合在一起，创造有趣和令人印象深刻的效果。这个项目的潜在应用包括娱乐、虚拟化妆和艺术创作，为用户提供了创造性的工具

1.效果预览

2.安装

请注意，安装需要技术技能，不适合初学者。请不要在GitHub上打开平台和安装相关问题。我们有一个非常有用的Discord社区，将指导您安装FaceFusion。

Read the installation now.

2.1 使用指南

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 (choices: cpu, ...)
  --execution-thread-count EXECUTION_THREAD_COUNT                                                  specify the number of execution threads
  --execution-queue-count EXECUTION_QUEUE_COUNT                                                    specify the number of execution queries
  --max-memory MAX_MEMORY                                                                          specify the maximum amount of ram to be used (in gb)

face recognition:
  --face-recognition {reference,many}                                                              specify the method for face recognition
  --face-analyser-direction {left-right,right-left,top-bottom,bottom-top,small-large,large-small}  specify the direction used for face analysis
  --face-analyser-age {child,teen,adult,senior}                                                    specify the age used for face analysis
  --face-analyser-gender {male,female}                                                             specify the gender used for face analysis
  --reference-face-position REFERENCE_FACE_POSITION                                                specify the position of the reference face
  --reference-face-distance REFERENCE_FACE_DISTANCE                                                specify the distance between the reference face and the target face
  --reference-frame-number REFERENCE_FRAME_NUMBER                                                  specify the number of the reference frame

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_enhancer, face_swapper, frame_enhancer, ...)
  --face-enhancer-model {codeformer,gfpgan_1.2,gfpgan_1.3,gfpgan_1.4,gpen_bfr_512}                 choose from the mode for the frame processor
  --face-enhancer-blend [0-100]                                                                    specify the blend factor for the frame processor
  --face-swapper-model {inswapper_128,inswapper_128_fp16}                                          choose from the mode for the frame processor
  --frame-enhancer-model {realesrgan_x2plus,realesrgan_x4plus,realesrnet_x4plus}                   choose from the mode 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, ...)

2.相关文档

Read the documentation for a deep dive.

更多优质内容请关注公号：汀丶人工智能；会提供一些相关的资源和优质文章，免费获取阅读。