LivePortrait AI: Transform Static Photos into Talking Videos. Now Supporting Video-to-Video Conversion

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

We anticipate a new tutorial showcasing the latest changes and features in V3, including Video-to-Video functionality and other enhancements.

This guide covers both Windows (local) and Cloud installations (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 the open-source LivePortrait zero-shot image-to-animation application on Windows for local use, this tutorial is ideal. We'll introduce you to the cutting-edge LivePortrait, an open-source image-to-animation generator. Simply provide a static image and a driving video, and within seconds, you'll have an impressive animation. LivePortrait is remarkably fast and adept at preserving facial expressions from the input video. The results will astonish you.

🔗 Windows Local Installation Tutorial ️⤵️

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🔗 LivePortrait Installers Scripts ⤵️

▶️ https://www.patreon.com/posts/107609670

🔗 Requirements Step by Step Tutorial ⤵️

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🔗 Cloud Massed Compute, RunPod & Kaggle Tutorial (Mac users can follow this tutorial) ⤵️

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🔗 Official LivePortrait GitHub Repository ⤵️

▶️ https://github.com/KwaiVGI/LivePortrait

🔗 SECourses Discord Channel to Get Full Support ⤵️

▶️ https://discord.com/servers/software-engineering-courses-secourses-7727740977340...

🔗 Paper of LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control ⤵️

▶️ https://arxiv.org/pdf/2407.03168

The tutorial covers:

0:00 Introduction to LivePortrait, the state-of-the-art open-source image-to-animation application

2:20 Downloading and installing the LivePortrait Gradio application

3:27 Requirements for LivePortrait and their installation

4:07 Verifying correct installation of requirements

5:02 Confirming successful installation and saving installation logs

5:37 Launching LivePortrait post-installation

5:57 Showcasing additional materials: portrait images, driving videos, and rendered videos

7:28 Using the LivePortrait application

8:06 VRAM usage when generating a 73-second animation

8:33 Animating the first image

8:50 Monitoring the animation process

10:10 Completion of the first animation video

10:24 Resolution of rendered animation videos

10:45 Original output resolution of LivePortrait

11:27 Improvements and new features added to the official demo app

11:51 Default save location for generated animated videos

12:35 Effects of the Relative Motion option

13:41 Effects of the Do Crop option

14:17 Effects of the Paste Back option

15:01 Effects of the Target Eyelid Open Ratio option

17:02 Joining the SECourses Discord channel

With the V3 update adding video-to-video functionality, this tutorial is perfect for those interested in using LivePortrait but lacking a powerful GPU, Mac users, or those preferring cloud-based solutions. We'll guide you through the one-click installation process for LivePortrait on #MassedCompute, #RunPod, and even a free #Kaggle account. After this tutorial, 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 ️⤵️

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🔗 LivePortrait Installers Scripts ⤵️

▶️ https://www.patreon.com/posts/107609670

🔗 Windows Tutorial - Watch To Learn How To Use ⤵️

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🔗 Official LivePortrait GitHub Repository ⤵️

▶️ https://github.com/KwaiVGI/LivePortrait

🔗 SECourses Discord Channel to Get Full Support ⤵️

▶️ https://discord.com/servers/software-engineering-courses-secourses-7727740977340...

🔗 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 ⤵️

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🔗 How to use permanent storage system of RunPod (storage network volume) ⤵️

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🔗 Massive RunPod tutorial (shows runpodctl) ⤵️

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The cloud tutorial covers:

0:00 Introduction to LivePortrait cloud tutorial

2:26 Installing and using LivePortrait on MassedCompute with a discount coupon

4:28 Applying the special 50% discount Massed Compute coupon

4:50 Setting up ThinLinc client for Massed Compute virtual machine connection

5:33 Configuring ThinLinc client's synchronization folder for file transfer

6:20 Transferring installer files to Massed Compute sync folder

6:39 Connecting to Massed Compute VM and installing LivePortrait

9:22 Starting and using LivePortrait on MassedCompute post-installation

10:20 Launching a second LivePortrait instance on the second GPU

12:20 Locating and downloading generated animation videos

13:23 Installing LivePortrait on 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 starting installation

17:07 Launching LivePortrait on RunPod post-installation

17:17 Starting a second LivePortrait instance on the second GPU

17:31 Connecting to LivePortrait via 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 application

18:41 Understanding and resolving input upload errors

19:17 One-click download of all generated animations on RunPod

20:28 Monitoring animation generation progress

21:07 Installing and using LivePortrait for free on Kaggle

24:10 Generating the first animation on Kaggle

24:22 Ensuring complete upload of input images and videos to avoid errors

24:35 Tracking animation progress on Kaggle

24:45 Monitoring GPU, CPU, RAM, and VRAM usage during animation on Kaggle

25:05 One-click download of all generated animations on Kaggle

26:12 Restarting LivePortrait on Kaggle without reinstallation

26:36 Joining the SECourses Discord channel for support and discussion