Face Embedding Caching Mechanism Added As Well so now much faster than the as shown in video.
🌟 Welcome to the comprehensive tutorial on IP Adapter Face ID! 🌟 In this detailed video, I unveil the secrets of installing and utilizing the experimental IP Adapter Face ID model. This model uniquely integrates ID embedding from face recognition, replacing the conventional CLIP image embedding. Whether you’re a beginner or a pro, this guide is tailored to help you navigate through the exciting features of this model with ease.
One-Click Installation & Usage: Discover the simplicity of using the IP Adapter Face ID with my custom-coded Gradio application.
Cross-Platform Compatibility: Learn how to operate this tool on Linux, Windows, RunPod, and Kaggle.
* Advanced Features & Customizations: Dive into the versatility of the model, exploring batch size, image generation, and much more.
* Model Conversion: Step-by-step guide on converting models into diffusers format for enhanced usability.
Tutorial Source Patreon Post — Installers ⤵️
C++ Tools, Python & FFmpeg Tutorial ⤵️
Stable Diffusion GitHub repository ⤵️
SECourses Discord To Get Full Support ⤵️
Official Repo ⤵️
0:00 Introduction to IP-Adapter-FaceID full tutorial
2:19 Requirements to use IP-Adapter-FaceID gradio Web APP
2:45 Where the Hugging Face models are downloaded by default on Windows
3:12 How to change folder path where the Hugging Face models are downloaded and cached
3:39 How to install IP-Adapter-FaceID Gradio Web APP and use on Windows
5:35 How to start the IP-Adapter-FaceID Web UI after the installation
5:46 How to use Stable Diffusion XL (SDXL) models with IP-Adapter-FaceID
5:56 How to select your input face and start generating 0-shot face transferred new amazing images
6:06 What does each option on the Web UI do explanations
6:44 What are those dropdown menu models and their meaning
7:50 How to use custom and local models with custom model path
8:09 How to add custom models and local models into your Web UI dropdown menu permanently
8:52 How to use a CivitAI model in IP-Adapter-FaceID web APP
9:17 How to convert CKPT or Safetensors model files into diffusers format
10:05 How to use diffusers exported model in custom model path input
10:24 How to download generated images and also where the generated images are saved
10:40 How to use an SDXL mode
11:37 How to permanently add your custom local models into your Web APP models dropdown list
13:28 How to install and use IP-Adapter-FaceID gradio Web APP on RunPod
15:39 How to start IP-Adapter-FaceID gradio Web APP on RunPod after the installation
16:02 What you need to be careful when using on RunPod or on Kaggle
16:43 How to use a network storage on RunPod to permanently keep storage between pods
17:17 How to edit web app on RunPod and add any model to UI permanently
17:46 How to kill started Web UI instance on RunPod
18:08 How to install fuser command on RunPod on Linux
19:01 How to use custom CivitAI model on RunPod with IP-Adapter-FaceID
20:00 If wget method from CivitAI fails how to make it work on RunPod or on Kaggle
20:34 How to delete files on RunPod properly
20:58 How to convert CKPT or Safetensors checkpoints into diffusers on RunPod
22:58 Showing example of SD 1.5 model conversion on RunPod
24:18 How to install and use IP-Adapter-FaceID gradio Web APP on a Free Kaggle notebook
26:10 How to download custom models into the temp directory of Kaggle to use on the Web APP
26:47 How to get your token and activate it to use Gradio app on Kaggle
27:05 After auth token set how to start Web UI on Kaggle
28:26 How to convert a custom CivitAI or any model into Diffusers on Kaggle to use
29:23 How to download all the generated images on a Kaggle notebook with 1 click
30:12 Where to find our Discord channel link