[Off-topic] MonsterMMORPG:
We anticipate a new tutorial showcasing the latest changes and features in V3, including Video-to-Video capabilities and other enhancements.

Newest demo :

This guide covers both Windows (local) and Cloud installations (Massed Compute, RunPod, and free Kaggle Account).

The V3 update introduces video-to-video functionality. 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 in seconds. LivePortrait is remarkably fast and adept at preserving facial expressions from the input video. The results will astound you.

🔗 Windows Local Installation Tutorial ️⤵️

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🔗 Requirements Step by Step Tutorial ⤵️

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🔗 Official LivePortrait GitHub Repository ⤵️

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

🔗 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 image-to-animation open-source application LivePortrait

2:20 How to download and install the LivePortrait Gradio application on your computer

3:27 Requirements for the LivePortrait application and their installation process

4:07 Verifying the accurate installation of requirements

5:02 Confirming successful installation completion and saving installation logs

5:37 Starting the LivePortrait application post-installation

5:57 Overview of 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 added to the official demo app

11:51 Default save location for generated animated videos

12:35 Impact of the Relative Motion option

13:41 Effect of the Do Crop option

14:17 Function of the Paste Back option

15:01 Influence of the Target Eyelid Open Ratio option

17:02 Instructions for joining the SECourses Discord channel

With the V3 update adding video-to-video functionality, those interested in using LivePortrait but lacking a powerful GPU, Mac users, or those preferring cloud-based solutions will find this tutorial invaluable. We'll guide you through the one-click installation and usage of LivePortrait on #MassedCompute, #RunPod, and even a free #Kaggle account. After this tutorial, you'll find running LivePortrait on cloud services as straightforward as using 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 ️⤵️

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🔗 Official LivePortrait GitHub Repository ⤵️

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

🔗 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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0:00 Introduction to the cloud tutorial for LivePortrait, a state-of-the-art image-to-animation open-source application

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

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 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 via RunPod's proxy connection

17:55 Animating the first image on RunPod with a 73-second driving video

18:27 Demonstrating the app's impressive speed in animating a 73-second video

18:41 Understanding input upload errors with an example case

19:17 One-click downloading 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 amazing 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 Tracking the animation status and progress on Kaggle

24:45 Monitoring GPU, CPU, RAM, and VRAM usage during the LivePortrait animation process 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 Instructions for joining the SECourses Discord channel for support and discussion