LivePortrait Static Image to Video or Video to Video State of The Art AI Model (Patreon)

LivePortrait AI: Transform Static Photos into Talking Videos. Now Supports Video-to-Video Conversion and Superior Expression Transfer at Incredible Speed

A new tutorial is anticipated to showcase the latest changes and features in V3, which introduces Video-to-Video capability and other enhancements.

For those seeking a one-click installation of the LivePortrait open-source, zero-shot image-to-animation application on Windows for local use, this tutorial is essential. It introduces the cutting-edge image-to-animation open-source generator, Live Portrait. By providing a static image and a driving video, you can create an impressive animation in seconds. LivePortrait is remarkably fast and adept at preserving facial expressions from the input video. The results are truly mind-blowing.

🔗 Windows Local Installation Tutorial ️⤵️▶️ https://youtu.be/FPtpNrmuwXk

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

🔗 Requirements Step by Step Tutorial ⤵️▶️ https://youtu.be/-NjNy7afOQ0

🔗 Cloud Massed Compute, RunPod & Kaggle Tutorial (Suitable for Mac users) ⤵️▶️ https://youtu.be/wG7oPp01COg

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

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

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

The video tutorial covers the following topics:0:00 Introduction to LivePortrait, the state-of-the-art image-to-animation open-source application2:20 Downloading and installing the LivePortrait Gradio application3:27 Requirements for LivePortrait and their installation4:07 Verifying correct installation of requirements5:02 Confirming successful installation and saving installation logs5:37 Launching LivePortrait after installation5:57 Supplementary materials provided, including portrait images, driving videos, and rendered videos7:28 Using the LivePortrait application8:06 VRAM usage when generating a 73-second animation8:33 Animating the first image8:50 Monitoring the animation process10:10 First animation video rendering completion10:24 Resolution of rendered animation videos10:45 Original output resolution of LivePortrait11:27 Improvements and new features added to the official demo app11:51 Default save location for generated animated videos12:35 Effect of the Relative Motion option13:41 Effect of the Do Crop option14:17 Effect of the Paste Back option15:01 Effect of the Target Eyelid Open Ratio option17:02 Instructions for joining the SECourses Discord channel

With the V3 update, video-to-video functionality has been added. For those interested in using LivePortrait 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 use of LivePortrait on #MassedCompute, #RunPod, and even a free #Kaggle account. After following this tutorial, using 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 ️⤵️▶️ https://youtu.be/wG7oPp01COg

🔗 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 for Full Support ⤵️▶️ https://discord.com/servers/software-engineering-courses-secourses-772774097734074388

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

🔗 Tutorial: Uploading/downloading large files/models on cloud via Hugging Face ⤵️▶️ https://youtu.be/X5WVZ0NMaTg

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

🔗 Comprehensive RunPod tutorial (featuring runpodctl) ⤵️▶️ https://youtu.be/QN1vdGhjcRc

The cloud tutorial video covers:0:00 Introduction to LivePortrait cloud tutorial2:26 Installing and using LivePortrait on MassedCompute with a discount coupon4:28 Applying the special Massed Compute 50% discount coupon4:50 Setting up ThinLinc client for Massed Compute virtual machine connection5:33 Configuring ThinLinc client's synchronization folder for file transfer6:20 Transferring installer files to Massed Compute sync folder6:39 Connecting to Massed Compute VM and installing LivePortrait9:22 Starting and using LivePortrait on MassedCompute post-installation10:20 Launching a second LivePortrait instance on Massed Compute's second GPU12:20 Locating and downloading generated animation videos13:23 Installing LivePortrait on RunPod cloud service14:54 Selecting the appropriate RunPod template15:20 Configuring RunPod proxy access ports16:21 Uploading installer files to RunPod's JupyterLab interface and initiating installation17:07 Starting LivePortrait on RunPod post-installation17:17 Launching LivePortrait on RunPod's second GPU17:31 Connecting to LivePortrait via RunPod's proxy connection17:55 Animating the first image on RunPod with a 73-second driving video18:27 Demonstrating the impressive speed of the application18:41 Addressing input upload errors with an example19:17 One-click download of all generated animations on RunPod20:28 Monitoring animation generation progress21:07 Installing and using LivePortrait for free on a Kaggle account24:10 Generating the first animation on Kaggle24:22 Ensuring complete upload of input images and videos to avoid errors24:35 Monitoring animation status and progress on Kaggle24:45 Resource usage (GPU, CPU, RAM, VRAM) and animation speed on Kaggle25:05 Downloading all generated animations on Kaggle with one click26:12 Restarting LivePortrait on Kaggle without reinstallation26:36 Instructions for joining the SECourses Discord channel for support and discussion