LivePortrait: No-GPU Cloud Tutorial - RunPod, MassedCompute & Free Kaggle Account - Animate Images

Are you interested in using LivePortrait, the open-source zero-shot image-to-animation application, but lack a powerful GPU, you are Mac user or prefer to use it in the cloud? If so, this tutorial is exactly what you need. I will guide you through the process of installing and using the LivePortrait application with just one click on #MassedCompute, #RunPod, and even on a free #Kaggle account. After following this tutorial, you'll find running LivePortrait on cloud services as straightforward as running it on your own computer. LivePortrait is the latest state-of-the-art static image to talking animation generator, outperforming even paid services in both speed and quality.

🔗 LivePortrait Installers Scripts ⤵️ ▶️ https://www.patreon.com/posts/107609670

🔗 Windows Tutorial - Watch To Learn How To Use ⤵️ ▶️ https://youtu.be/FPtpNrmuwXk

🔗 Official LivePortrait GitHub Repository ⤵️ ▶️ https://github.com/KwaiVGI/LivePortrait

🔗 SECourses Discord Channel to Get Full Support ⤵️ ▶️ https://discord.com/servers/software-engineering-courses-secourses-772774097734074388

🔗 Paper of LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control ⤵️ ▶️ https://arxiv.org/pdf/2407.03168

🔗 Upload / download big files / models on cloud via Hugging Face tutorial ⤵️ ▶️ https://youtu.be/X5WVZ0NMaTg

🔗 How to use permanent storage system of RunPod (storage network volume) ⤵️
▶️ https://youtu.be/8Qf4x3-DFf4

🔗 Massive RunPod tutorial (shows runpodctl) ⤵️ ▶️ https://youtu.be/QN1vdGhjcRc

0:00 Introduction to the state-of-the-art image to animation open source application LivePortrait cloud tutorial 2:26 How to install and use LivePortrait on MassedCompute with amazing discount coupon code 4:28 How to enter our special Massed Compute coupon to get 50% discount 4:50 How to setup ThinLinc client to connect and use Massed Compute virtual machine 5:33 How to setup synchronization folder of ThinLinc client to transfer files between your computer and MassedCompute 6:20 How to transfer installer files into Massed Compute sync folder 6:39 How to connect initialized Massed Compute virtual machine and install LivePortrait app 9:22 How to start and use LivePortrait application on MassedCompute after installation has been completed 10:20 How to start second instance of LivePortrait on the second GPU on Massed Compute 12:20 Where the generated animation videos are saved and how we can download all of them to our computer 13:23 How to install LivePortrait on RunPod cloud service 14:54 Which template of RunPod you need to use 15:20 How to setup RunPod proxy access ports 16:21 How to upload installer files into JupyterLab interface of RunPod and start installation process 17:07 How to start LivePortrait app on RunPod after installation has been completed 17:17 How to start LivePortrait on the second GPU as second instance 17:31 How to connect LivePortrait from proxy connection of RunPod 17:55 Animating first image on the RunPod instance with 73 seconds driving video 18:27 How much time animating 73 seconds video takes (speed of the app is mind blowing) 18:41 How to understand input upload error and example case 19:17 How to 1-click download all the generated animations on RunPod 20:28 How to see and follow progress of the generating animations 21:07 How to install and start using LivePortrait for free on a free Kaggle account and speed is amazing 24:10 Generating first animation on the Kaggle after installed and started the LivePortrait app 24:22 Wait input images and videos to be uploaded fully or you will get error shown here 24:35 How to watch the status of the animation and follow the progress on Kaggle 24:45 How much GPU, CPU, Ram and VRAM is being used and the speed of animation process of LivePortrait app on Kaggle 25:05 How to download all of the generated animations on Kaggle with 1-click 26:12 How to restart LivePortrait app on Kaggle without reinstalling 26:36 How to join SECourses Discord channel to chat with us and get help

LivePortrait paper presents LivePortrait, an innovative framework for animating static portrait images into realistic and expressive videos. The authors focus on achieving high inference efficiency and precise controllability while maintaining high-quality results.

The proposed method builds upon and extends the implicit-keypoint-based framework, balancing computational efficiency and controllability.

Key improvements include:

Enhanced generation quality and generalization: Scaled up training data to 69 million high-quality frames Adopted a mixed image-video training strategy Upgraded network architecture Designed better motion transformation and optimization objectives

Improved controllability: Introduced stitching and retargeting modules using small MLPs Enabled precise control over eyes and lip movements Allowed seamless animation of multi-person portraits The model consists of two training stages:

Stage I: Base Model Training ... https://www.youtube.com/watch?v=wG7oPp01COg