THIS IS NOT OFFICIAL REPOSITORY. ORIGINAL REPO WAS DELETED AND THE OWNER IS NOT ANSWERING

anyway, thanks hillobar for creating rope, please answer to us, did someone kidnap you?

Richard Discord link: Discord

The repo is not maintained, as Im developing my own tool, called FastFaceSwap (actually rope was inspired by it, he told me). But I will help with troubleshooting if you have any issues.

I do not have backup of images, sorry

Rope

Rope implements the insightface inswapper_128 model with a helpful GUI.

Features:

• Ugly GUI, but incredible features and fast workflow
• Fastest face swapper available
• Real-time video player
• Occlusion functions

Changes for Rope - Space Worm:

• Updated video rendering to use Target Video parameters
• Mousewheel scroll on the time bar to control frame position
• Added an occluder model (experimental, very fast, make sure you download the new model-link below)
• Greatly increased performance for larger videos/multiple faces
• CLIP crashing fixed. Add as many words as you like!
• Detachable video preview
• Fixed most bugs related to changing options while playing. Adjust setting on the fly!
• GFPGAN now renders up to 512x512
• Status bar (still adding features to this)

Known bugs:

• Stop video playback before loading a new video, or bork

Disclaimer:

Rope is a personal project that I'm making available to the community as a thank you for all of the contributors ahead of me. I don't have time to troubleshoot or add requested features, so it is provided as-is. Don't look at this code for example of good coding practices. I am primarily focused on performance and my specific use cases. There are plenty of ways to bork the workflow. Please see how to use below.

Install:

Note: It's only configured for CUDA (Nvidia)

• Set up a local venv
  • python.exe -m venv venv
• Activate your new venv
  • .\venv\Scripts\activate
• Install requirements
  • .\venv\Scripts\pip.exe install -r .\requirements.txt
• Place GFPGANv1.4.onnx, inswapper_128_fp16.onnx, and occluder.ckpt in the weights/ directory
• Do this if you've never installed roop or Rope (or any other onnx runtimes):
  • Install CUDA Toolkit 11.8
  • Install dependencies:
  • pip uninstall onnxruntime onnxruntime-gpu
  • pip install onnxruntime-gpu==1.15.1
• Double-click on Rope.bat!

To use:

• Run Rope.bat
• Set your Target Video, Source Faces, and Video Output folders
  • Buttons will be gold if they are not set
  • Only places videos or images in the respective folders. Other files my bork it
  • Rope creates a JSON file to remember your last set paths
  • I like to keep my folders <20 or so items. Helps to organize and reduces load times
• Click on the Load Models button to initialize Rope
• Select a video to load it into the player
• Find Target Faces
  • Adds all faces in the current frame to the Found Faces pane
  • If a Face is already Found and in the pane, it won't re-add it
• Click a Source Face
  • Source Face number will appear
• Select a Target Face
  • Target Faces will show assignment number to the Source Face number
  • Toggle a Target Face to unselect and reassign to currently selected Source Face
• Continue to select other Source Faces and assign them to Target Faces
• Click SWAP to enable face swapping
• Click PLAY to play
• Click REC to arm recording
  • Click PLAY to start recording using the current settings
  • Click PLAY again to stop recording, otherwise it will record to the end of the Target Video
• Toggle GFPGAN, adjust blending amount
• Toggle Diffing, adjust blending amount
• Lower the threshhold if you have multiple Source Faces assigned and they are jumping around. You can also try Clearing and Finding new Target Faces (disable SWAP first)
• Modify the Masking boundaries
• Use CLIP to identify objects to swap or not swap (e.g Pos: face, head; Neg: hair, hand), adjust the gain of the words, and set the blur amount around the items
• Change # threads to match your GPU memory (24GB ~9 threads with GFPGAN on, more threads w/o GFPGAN)
  • Start with the lowest you think will run and watch your GPU memory.
  • Once you allocate memory by increasing # threads, you can't un-allocate it by reducing # threads. You will need to restart Rope.
• In general, always stop the video before changing anything. Otherwise, it might bork. Reassigning faces is okay
• If it does bork, reload the video (reclick on it). If that doesn't work you'll need to restart