LivePortrait: No‐GPU Cloud Tutorial ‐ RunPod, MassedCompute & Free Kaggle Account ‐ Animate Images and Video to Video
Tutorial Link : https://youtu.be/wG7oPp01COg
The V3 update now includes video-to-video functionality. For those interested in using LivePortrait, the open-source zero-shot image-to-animation application, but lacking a powerful GPU, using a Mac, or preferring cloud-based solutions, this tutorial is ideal. It guides you through the one-click installation and usage of LivePortrait on #MassedCompute, #RunPod, and even a free #Kaggle account. After following this guide, you'll find running LivePortrait on cloud services as straightforward as running it locally. LivePortrait is the latest state-of-the-art static image to talking animation generator, surpassing even paid services in both speed and quality.
🔗 Cloud (no-GPU) Installations Tutorial for Massed Compute, RunPod and free Kaggle Account ️
🔗 LivePortrait Installers Scripts
🔗 Windows Tutorial - Watch To Learn How To Use
🔗 Official LivePortrait GitHub Repository
🔗 SECourses Discord Channel to Get Full Support
🔗 Paper of LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control
🔗 Upload / download big files / models on cloud via Hugging Face tutorial
🔗 How to use permanent storage system of RunPod (storage network volume)
🔗 Massive RunPod tutorial (shows runpodctl)
- 0:00 Introduction to the state-of-the-art open-source image-to-animation application LivePortrait cloud tutorial
- 2:26 Installing and using LivePortrait on MassedCompute with a special discount coupon code
- 4:28 Applying the special Massed Compute coupon for a 50% discount
- 4:50 Setting up the ThinLinc client to connect and use the Massed Compute virtual machine
- 5:33 Configuring the ThinLinc client's synchronization folder for file transfer between your computer and MassedCompute
- 6:20 Transferring installer files to the Massed Compute sync folder
- 6:39 Connecting to the initialized Massed Compute virtual machine and installing the LivePortrait app
- 9:22 Launching and using the LivePortrait application on MassedCompute post-installation
- 10:20 Starting a second instance of LivePortrait on the second GPU on Massed Compute
- 12:20 Locating generated animation videos and downloading them to your computer
- 13:23 Installing LivePortrait on the RunPod cloud service
- 14:54 Selecting the appropriate RunPod template
- 15:20 Configuring RunPod proxy access ports
- 16:21 Uploading installer files to RunPod's JupyterLab interface and initiating the installation process
- 17:07 Launching the LivePortrait app on RunPod after installation
- 17:17 Starting LivePortrait on the second GPU as a second instance
- 17:31 Connecting to LivePortrait through RunPod's proxy connection
- 17:55 Animating the first image on RunPod with a 73-second driving video
- 18:27 Demonstrating the impressive speed of the app in animating a 73-second video
- 18:41 Understanding and resolving input upload errors with an example case
- 19:17 One-click download of all generated animations on RunPod
- 20:28 Monitoring the progress of generating animations
- 21:07 Installing and using LivePortrait for free on a Kaggle account with impressive speed
- 24:10 Creating the first animation on Kaggle after installing and launching the LivePortrait app
- 24:22 Ensuring complete upload of input images and videos to avoid errors
- 24:35 Tracking the status and progress of the animation on Kaggle
- 24:45 Monitoring GPU, CPU, RAM, and VRAM usage, and animation process speed of LivePortrait on Kaggle
- 25:05 Downloading all generated animations on Kaggle with one click
- 26:12 Restarting the LivePortrait app on Kaggle without reinstallation
- 26:36 Joining the SECourses Discord channel for community support and assistance