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Turn any face into a video game character, pixel art, claymation, 3D or toy

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fofr/cog-face-to-many

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face-to-many

Turn any face into 3D, pixel art, video game, claymation or toy.

Run this model on Replicate:

https://replicate.com/fofr/face-to-many

Or run it in ComfyUI:

https://github.com/fofr/cog-face-to-many/blob/main/face-to-many-ui.json

You’ll need these custom nodes:

Arnold

Loras

The 3D, video game, pixel art, claymation and toy loras are all made by artificialguybr. If you like them you can make a donation to their Patreon or Ko-fi:

Or follow him on Twitter:

https://twitter.com/artificialguybr

Developing locally

Clone this repository:

git clone --recurse-submodules https://github.com/fofr/cog-face-to-many.git && cd cog-face-to-many/ComfyUI

Create python venv and activate

python3 -m venv . && source bin/activate

Install the required dependencies

pip install -r requirements.txt

Download albedobaseXL_v13.safetensors to models/checkpoints

wget https://huggingface.co/frankjoshua/albedobaseXL_v13/resolve/main/albedobaseXL_v13.safetensors?download=true -O models/checkpoints/albedobaseXL_v13.safetensors

Download antelopev2

git clone https://huggingface.co/DIAMONIK7777/antelopev2 models/insightface/models/antelopev2

Download instantid-ip-adapter.bin

wget https://huggingface.co/Aitrepreneur/InstantID-Controlnet/resolve/main/checkpoints/ip-adapter.bin?download=true -O models/instantid/instantid-ip-adapter.bin

Download instantid-controlnet.safetensors

wget https://huggingface.co/Aitrepreneur/InstantID-Controlnet/resolve/main/checkpoints/ControlNetModel/diffusion_pytorch_model.safetensors?download=true -O models/controlnet/instantid-controlnet.safetensors

Run the following script to install all the custom nodes:

./scripts/clone_plugins.sh

Finally, install it, run it and enjoy it!

python3 main.py

Running the Web UI from your Cog container

  1. GPU Machine: Start the Cog container and expose port 8188:
sudo cog run -p 8188 bash

Running this command starts up the Cog container and let's you access it

  1. Inside Cog Container: Now that we have access to the Cog container, we start the server, binding to all network interfaces:
cd ComfyUI/
python main.py --listen 0.0.0.0
  1. Local Machine: Access the server using the GPU machine's IP and the exposed port (8188): http://<gpu-machines-ip>:8188

When you goto http://<gpu-machines-ip>:8188 you'll see the classic ComfyUI web form!

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