LivePortrait AI: Transform Static Photos into Talking Videos. Now Supporting Video-to-Video Conversion and Superior Expression Transfer at Incredible Speed
We anticipate a new tutorial showcasing the latest changes and features in V3, which introduces Video-to-Video functionality and additional enhancements.
This guide covers both Windows (local) and Cloud installation methods (Massed Compute, RunPod, and free Kaggle Account).
The V3 update introduces video-to-video capabilities. If you're seeking a one-click installation method for LivePortrait, an open-source zero-shot image-to-animation application on Windows for local use, this tutorial is ideal. We'll introduce you to LivePortrait, a cutting-edge open-source image-to-animation generator. Simply provide a static image and a driving video to create an impressive animation within seconds. LivePortrait is remarkably fast and adept at preserving facial expressions from the input video. The results are truly astonishing.
🔗 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 (Mac users can follow this tutorial) ⤵️
▶️ https://youtu.be/wG7oPp01COg
🔗 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
0:00 Introduction to the state-of-the-art open-source image-to-animation application LivePortrait
2:20 How to download and install the LivePortrait Gradio application on your computer
3:27 Requirements for the LivePortrait application and installation process
4:07 Verifying accurate installation of requirements
5:02 Confirming successful installation completion and saving installation logs
5:37 Starting the LivePortrait application post-installation
5:57 Exploring the additional materials provided, including portrait images, driving videos, and rendered videos
7:28 Using the LivePortrait application
8:06 VRAM usage when generating a 73-second animation video
8:33 Animating the first image
8:50 Monitoring the animation process status
10:10 Completion of the first animation video rendering
10:24 Resolution of the rendered animation videos
10:45 Original output resolution of LivePortrait
11:27 Improvements and new features coded on top of the official demo app
11:51 Default save location for generated animated videos
12:35 The effect of the Relative Motion option
13:41 The effect of the Do Crop option
14:17 The effect of the Paste Back option
15:01 The effect of the Target Eyelid Open Ratio option
17:02 How to join the SECourses Discord channel
The V3 update introduces video-to-video functionality. If you're interested in using LivePortrait, the open-source zero-shot image-to-animation application, but lack a powerful GPU, are a Mac user, or prefer cloud-based solutions, this tutorial is perfect for you. We'll 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 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, 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 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 open-source image-to-animation application LivePortrait cloud tutorial
2:26 Installing and using LivePortrait on MassedCompute with an exclusive discount coupon code
4:28 Applying our 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 into 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 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 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 through RunPod's proxy connection
17:55 Animating the first image on the RunPod instance with a 73-second driving video
18:27 Demonstrating the app's impressive speed in animating a 73-second video
18:41 Understanding and troubleshooting input upload errors with an example case
19:17 One-click download of all generated animations on RunPod
20:28 Monitoring the progress of animation generation
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 full upload of input images and videos to avoid errors
24:35 Tracking the animation status and progress on Kaggle
24:45 Monitoring GPU, CPU, RAM, and VRAM usage, and the 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 support and community interaction
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