IP-Adapter-FaceID-PlusV2 - 0 Shot Face Transfer - Auto Installer & Gradio App

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1 February 2025 Update

• RunPod & Massed Compute Installers and instructions files added

• Upgraded to the latest libraries

• ip_Adapter_Face_ID_v16.zip

21 January 2024 Update

• SDXL model upgraded to ip-adapter-faceid-plusv2_sd15

• Kaggle Notebook upgraded to V3 and supports SDXL now

11 January 2024 Update

• Image saving naming of the Gradio app improved

• Now it will not anymore overwrite older images

10 January 2024 Update

• Full tutorial > https://youtu.be/rjXsJ24kQQg

• If you also upvote this Reddit Post I appreciate very much

• Face embeddings caching added

• Now it will calculate face embeddings only if input person image changes and not cached

• Therefore the image generation speed is many times faster now

8 January 2024 Update

• SDXL models support added

• You can also convert SDXL into Diffusers to load models from local Diffusers folders

6 January 2024 Update

• Convert any model into Diffusers feature added to the very bottom of the App

• After converting add the folder path into models array

• Examples added

• Now you can use any CivitAI model as well with local saving

• Custom model path input box added. You can give any diffusers repo path including your local path

5 January 2024 Update

• Free Kaggle notebook added. Follow the notebook instructions

• Tutorial video in production. Hopefully coming soon

The Main Repo

https://huggingface.co/h94/IP-Adapter-FaceID

Requirements

For this to work you need to have C++ tools installed with Python 3.10.x

Watch this tutorial to install them https://youtu.be/-NjNy7afOQ0

Edit web-ui.py file and add any models from here : https://huggingface.co/stablediffusionapi

You can also convert any model into diffusers local model and give its path or add its path to web-ui

If you want Hugging Face to download models into another drive (not mandatory) use following prompt

• Start a new CMD as administrator

• setx HF_HOME "G:\HF_Models"

• This above command will add a variable to System Environment Variables

• On RunPod or Linux

• export HF_HOME="/workspace"

RunPod Install Instructions

Click here to register or open RunPod : https://runpod.io?ref=1aka98lq

Select any GPU - I prefer RTX 3090 - It takes around 2 seconds for each image with 512x768

Select any template - I prefer RunPod Pytorch 2.1

Set volume disk according to how many models you want to download and test e.g. 50 GB

Upload all files inside zip into the workspace folder

Start terminal and execute below command

• cd /workspace

• chmod +x linux_install.sh

• ./linux_install.sh

After install completed use below command to start each time

• export HF_HOME="/workspace"

• cd /workspace/

• source venv/bin/activate

• python web-ui.py --share

This will give you a Gradio live link. Use it to connect. You can also use RunPod proxy connect feature.

When you are uploading your input picture wait until it fully loads before hit generate button.

Kaggle Instructions

Register a free Kaggle account : https://www.kaggle.com/

Verify your Phone number : https://www.kaggle.com/settings

Start a new notebook by clicking + Create button

Import notebook

Full main tutorial of this notebook > in recording

Select Python and GPU P100 or GPT T2 x2

Instructions are well written on the Notebook