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Spreadsheet (WIP) of supported models and their supported features: https://docs.google.com/spreadsheets/d/16eA6mSL8XkTcu9fSWkPSHfRIqyAKJbR1O99xnuGdCKY/edit?usp=sharing Spreadsheet (WIP) of supported models and their supported features: https://docs.google.com/spreadsheets/d/16eA6mSL8XkTcu9fSWkPSHfRIqyAKJbR1O99xnuGdCKY/edit?usp=sharing
## Update 9
Added preliminary support for [Go-with-the-Flow](https://github.com/VGenAI-Netflix-Eyeline-Research/Go-with-the-Flow)
This uses LoRA weights available here: https://huggingface.co/VGenAI-Netflix-Eyeline-Research/Go-with-the-Flow/tree/main
To create the input videos for the NoiseWarp process, I've added a node to KJNodes that works alongside my SplineEditor, and either [comfyui-inpaint-nodes](https://github.com/Acly/comfyui-inpaint-nodes) or just cv2 inpainting to create the cut and drag input videos.
The workflows are in the example_workflows -folder.
Quick video to showcase: First mask the subject, then use the cut and drag -workflow to create a video as seen here, then that video is used as input to the NoiseWarp node in the main workflow.
https://github.com/user-attachments/assets/112706b0-a38b-4c3c-b779-deba0827af4f
## BREAKING Update8 ## BREAKING Update8
This is big one, and unfortunately to do the necessary cleanup and refactoring this will break every old workflow as they are. This is big one, and unfortunately to do the necessary cleanup and refactoring this will break every old workflow as they are.