relative_movement: Relative keypoint displacement (Inherit object proporions from the video)
relative_jacobian: Only taken into effect when relative_movement is on, must also be on to avoid heavy deformation of the face (in a freaky way)
adapt_movement_scale: If disabled, will heavily distort the source face to match the driving face
find_best_frame: Find driving frame that best match the source. Split the batch into two halves, with the first half reversed. Gives mixed results. Needs to install face-alignment library.

Part Swap

blend_scale: No idea, keeping at default = 1.0 seems to be fine
use_source_seg: Whether to use the source's segmentation or the target's. May help if some of the target's segmentation regions are missing
hard_edges: Whether to make the edges hard, instead of feathering
use_face_parser: For Seg-based models, may help with cleaning up residual background (should only use 15seg with this). TODO: Additional cleanup face_parser masks. Should definitely be used for FOMM models
viz_alpha: Opacity of the segments in the visualization

Articulate

Doesn't need any

Installation

Clone the repo to ComfyUI/custom_nodes/

git clone https://github.com/FuouM/ComfyUI-FirstOrderMM.git

Install required dependencies

pip install -r requirements.txt

Optional: Install face-alignment to use the find_best_frame feature:

pip install face-alignment

Model

FOMM currently supporting vox and vox-adv. Models can and must be manually downloaded from:

Part Swap currently supporting Seg-based models and FOMM (vox and vox-adv) models.

vox-5segments
vox-10segments
vox-15segments
vox-first-order (partswap)

These models can be found in the original repository Motion Supervised co-part Segmentation

Place them in the checkpoints folder. It should look like this:

place_checkpoints_here.txt
vox-adv-cpk.pth.tar
vox-cpk.pth.tar

vox-5segments.pth.tar
vox-10segments.pth.tar
vox-15segments.pth.tar
vox-first-order.pth.tar

For Part Swap, Face-Parsing is also supported (Optional) (especially when using the FOMM or vox-first-order models)

resnet18 resnet18-5c106cde: https://download.pytorch.org/models/resnet18-5c106cde.pth
face_parsing 79999_iter.pth: https://github.com/zllrunning/face-makeup.PyTorch/tree/master/cp

Place them in face_parsing folder:

face_parsing_model.py
...
resnet18-5c106cde.pth
79999_iter.pth

For Articulate, download the model from Pre-trained checkpoints section and place it here: articulate_module\models\vox256.pth