Guest
The V3 update introduces 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 usage, 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 this tutorial, running LivePortrait on cloud services will be as straightforward as running it on your own computer. 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 image-to-animation open-source application LivePortrait cloud tutorial 2:26 Installing and using LivePortrait on MassedCompute with an exclusive 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 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 Starting and using the LivePortrait application on MassedCompute post-installation 10:20 Launching a second instance of LivePortrait on the second GPU on Massed Compute 12:20 Locating saved 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 the JupyterLab interface of RunPod and initiating the installation process 17:07 Starting the LivePortrait app on RunPod after installation 17:17 Launching LivePortrait on the second GPU as a second instance 17:31 Connecting to LivePortrait via RunPod’s proxy connection 17:55 Animating the first image on the RunPod instance with a 73-second driving video 18:27 Time taken to animate a 73-second video (highlighting the app’s impressive speed) 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 Generating the first animation on Kaggle after installing and starting the LivePortrait app 24:22 Ensuring full upload of input images and videos to avoid errors 24:35 Monitoring the animation status and progress on Kaggle 24:45 GPU, CPU, RAM, and VRAM usage, and animation process speed of LivePortrait app on Kaggle 25:05 One-click download of all generated animations on Kaggle 26:12 Restarting the LivePortrait app on Kaggle without reinstallation 26:36 Joining the SECourses Discord channel for chat and support
