Dive into the world of IPAdapter with our latest video, as we explore how we can utilize it with SDXL/SD1.5 models and ControlNet using ComfyUI to get a Consistent AI Instagram Model!
Workflow: https://github.com/dataleveling/Comfy...
Prerequisite
Install ComfyUI and ComfyUI Manager: • Quick & Easy ComfyUI and ComfyUI Mana...
Install InsightFace: • ComfyUI InsightFace Windows Fast Inst... Github
References
Official IPAdapter: https://github.com/tencentailab/IPA...
Tencent AI Labs IPAdapter Research Paper: https://arxiv.org/pdf/2308.06721.pdf
ComfyUI IPAdapter: https://github.com/cubiq/ComfyUI_IPAd...
Model References
IP Adapter (FACEID) Models: https://huggingface.co/h94/IPAdapter...
IP Adapter Models: https://huggingface.co/h94/IPAdapter...
vit_h: https://huggingface.co/h94/IPAdapter...
ControlNet (SD1.5) Models: https://huggingface.co/lllyasviel/Con...
ControlNet (SDXL) Models: https://huggingface.co/lllyasviel/sd_...
Checkpoint Models: https://civitai.com/
Upscale Models: https://openmodeldb.info/
In today’s video, we showcase the power of IPAdapters from Tencent AI Labs. Watch as we explore the synergy of IP Adapters to seamlessly blend TEXT2IMG and IMG2IMG together with ControlNet and SDXL models, resulting in the creation of AI models with a remarkably consistent facial appearance and clothing.
We provide a detailed step by step tutorial to achieving AI models and Applications requiring uniformity where a standardized and consistent facial appearance is paramount, such as character design, digital storytelling, and beyond.
Timestamps:
0:00 Introduction
1:29 Requirements
3:34 Get Face
6:00 Image Preprocessing
7:42 IPAdapter Face
12:06 IPAdapter Clothes
14:06 ControlNet
15:50 SD15
17:48 Magic Poser
19:04 Outro
My Hardware Specs
GPU: 24GB VRAM
RAM: 32GB
CPU: 24 Core
If you're looking to level up your skills with ComfyUI or simply interested in the world of AI computer vision, don't miss out on this indepth exploration! Hit that like button, subscribe for more content, and let us know your thoughts in the comments below.