Page de couverture de Generative AI Tutorials: Stable Diffusion, TTS, Voice Cloning, DeepFakes, LLMs, Training, Animation

Generative AI Tutorials: Stable Diffusion, TTS, Voice Cloning, DeepFakes, LLMs, Training, Animation

Generative AI Tutorials: Stable Diffusion, TTS, Voice Cloning, DeepFakes, LLMs, Training, Animation

Auteur(s): Furkan Gözükara
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 Best tutorials for: Stable Diffusion, Stable Diffusion XL (SDXL), Stable Diffusion 3, PixArt, Stable Cascade, Large Language Models (LLMs), Text to Speech, Speech to Text, ChatGPT, GPT-4, Image to Video Animation, Video to Video Animation, Deep Fakes, SwarmUI, ComfyUI, Fooocus, SUPIR, V-Express, InstantId, ControlNet, IP Adapters, RunPod, Massed Compute, Cloud, Kaggle, Google Colab, Automatic1111 SD Web UI, TensorRT, DreamBooth, LoRA, Training, Fine Tuning, Kohya, OneTrainer, Text to 3D, Image to 3D, Upscale, Inpainting, Outpainting, Superscale, AI-assisted Digital Art Generation and moreFurkan Gözükara
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  • LivePortrait: No-GPU Cloud Tutorial - RunPod, MassedCompute & Free Kaggle Account - Animate Images

    LivePortrait: No-GPU Cloud Tutorial - RunPod, MassedCompute & Free Kaggle Account - Animate Images
    Jul 22 2024
    The V3 update includes video-to-video functionality. For those interested in using LivePortrait but lacking a powerful GPU, Mac users, or those preferring cloud usage, this tutorial is ideal. It guides you through installing and using LivePortrait with one click 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 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 image-to-animation open-source application LivePortrait cloud tutorial2:26 Installing and using LivePortrait on MassedCompute with an amazing discount coupon code4:28 Entering the special Massed Compute coupon for a 50% discount4:50 Setting up ThinLinc client to connect and use Massed Compute virtual machine5:33 Configuring ThinLinc client's synchronization folder for file transfer between your computer and MassedCompute6:20 Transferring installer files into Massed Compute sync folder6:39 Connecting to initialized Massed Compute virtual machine and installing LivePortrait app9:22 Starting and using LivePortrait application on MassedCompute post-installation10:20 Launching a second instance of LivePortrait on the second GPU on Massed Compute12:20 Locating generated animation videos and downloading them to your computer13:23 Installing LivePortrait on RunPod cloud service14:54 Selecting the appropriate RunPod template15:20 Setting up RunPod proxy access ports16:21 Uploading installer files to RunPod's JupyterLab interface and initiating installation17:07 Starting LivePortrait app on RunPod after installation17:17 Launching LivePortrait on the second GPU as a second instance17:31 Connecting to LivePortrait via RunPod's proxy connection17:55 Animating the first image on RunPod using a 73-second driving video18:27 Time required to animate a 73-second video (impressive speed)18:41 Understanding input upload errors with an example case19:17 One-click download of all generated animations on RunPod20:28 Monitoring the progress of animation generation21:07 Installing and using LivePortrait for free on a Kaggle account with amazing speed24:10 Generating the first animation on Kaggle after installing and starting LivePortrait24:22 Waiting for input images and videos to upload fully to avoid errors24:35 Monitoring animation status and progress on Kaggle24:45 GPU, CPU, RAM, and VRAM usage during LivePortrait animation process on Kaggle25:05 Downloading all generated animations on Kaggle with one click26:12 Restarting LivePortrait app on Kaggle without reinstallation26:36 Joining the SECourses Discord channel for chat and support
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    27 min
  • Animate Static Photos into Talking Videos with LivePortrait AI Compose Perfect Expressions Fast

    Animate Static Photos into Talking Videos with LivePortrait AI Compose Perfect Expressions Fast
    Jul 22 2024

    LivePortrait AI: Transform Static Photos into Talking Videos. Now supporting 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, including Video-to-Video capabilities and other enhancements.

    This post provides information for 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, this tutorial is essential. It introduces the cutting-edge LivePortrait 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 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 image-to-animation open-source application LivePortrait
    2:20 How to download and install LivePortrait Gradio application on your computer
    3:27 Requirements for 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 Additional materials provided, including portrait images, driving video, 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 First animation video rendering completion
    10:24 Resolution of 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 Effect of the Relative Motion option
    13:41 Effect of the Do Crop option
    14:17 Effect of the Paste Back option
    15:01 Effect of the Target Eyelid Open Ratio option
    17:02 How to join the SECourses Discord channel
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    18 min
  • How to Use SwarmUI & Stable Diffusion 3 on Cloud Services Kaggle (free), Massed Compute & RunPod

    How to Use SwarmUI & Stable Diffusion 3 on Cloud Services Kaggle (free), Massed Compute & RunPod
    Jul 1 2024
    Tutorial Link : https://youtu.be/XFUZof6Skkw In this video, I demonstrate how to install and use #SwarmUI on cloud services. If you lack a powerful GPU or wish to harness more GPU power, this video is essential. You’ll learn how to install and utilize SwarmUI, one of the most powerful Generative AI interfaces, on Massed Compute, RunPod, and Kaggle (which offers free dual T4 GPU access for 30 hours weekly). This tutorial will enable you to use SwarmUI on cloud GPU providers as easily and efficiently as on your local PC. Moreover, I will show how to use Stable Diffusion 3 (#SD3) on cloud. SwarmUI uses #ComfyUI backend. 🔗 The Public Post (no login or account required) Shown In The Video With The Links ➡️ https://www.patreon.com/posts/stableswarmui-3-106135985 🔗 Windows Tutorial for Learn How to Use SwarmUI ➡️ https://youtu.be/HKX8_F1Er_w 🔗 How to download models very fast to Massed Compute, RunPod and Kaggle and how to upload models or files to Hugging Face very fast tutorial ➡️ https://youtu.be/X5WVZ0NMaTg 🔗 SECourses Discord ➡️ https://discord.com/servers/software-engineering-courses-secourses-772774097734074388 🔗 Stable Diffusion GitHub Repo (Please Star, Fork and Watch) ➡️ https://github.com/FurkanGozukara/Stable-Diffusion Coupon Code for Massed Compute : SECoursesCoupon works on Alt Config RTX A6000 and also RTX A6000 GPUs 0:00 Introduction to SwarmUI on cloud services tutorial (Massed Compute, RunPod & Kaggle)3:18 How to install (pre-installed we just 1-click update) and use SwarmUI on Massed Compute virtual Ubuntu machines like in your local PC4:52 How to install and setup synchronization folder of ThinLinc client to access and use Massed Compute virtual machine6:34 How to connect and start using Massed Compute virtual machine after it is initialized and status is running7:05 How to 1-click update SwarmUI on Massed Compute before start using it7:46 How to setup multiple GPUs on SwarmUI backend to generate images on each GPU at the same time with amazing queue system7:57 How to see status of all GPUs with nvitop command8:43 Which pre installed Stable Diffusion models we have on Massed Compute9:53 New model downloading speed of Massed Compute10:44 How do I notice GPU backend setup error of 4 GPU setup11:42 How to monitor status of all running 4 GPUs12:22 Image generation speed, step speed on RTX A6000 on Massed Compute for SD312:50 How to setup and use CivitAI API key to be able to download gated (behind a login) models from CivitAI13:55 How to quickly download all of the generated images from Massed Compute15:22 How to install latest SwarmUI on RunPod with accurate template selection16:50 Port setup to be able to connect SwarmUI after installation17:50 How to download and run installer sh file for RunPod to install SwarmUI19:47 How to restart Pod 1 time to fix backends loading forever error20:22 How to start SwarmUI again on RunPod21:14 How to download and use Stable Diffusion 3 (SD3) on RunPod22:01 How to setup multiple GPU backends system on RunPod23:22 Generation speed on RTX 4090 (step speed for SD3)24:04 How to quickly download all generated images on RunPod to your computer / device24:50 How to install and use SwarmUI and Stable Diffusion 3 on a free Kaggle account28:39 How to change model root folder path on SwarmUI on Kaggle to use temporary disk space29:21 Add another backend to utilize second T4 GPU on Kaggle29:32 How to cancel run and start SwarmUI again (restarting)31:39 How to use Stable Diffusion 3 model on Kaggle and generate images33:06 Why we did get out of RAM error and how we fixed it on Kaggle33:45 How to disable one of the back ends to prevent RAM error when using T5 XXL text encoder twice34:04 Stable Diffusion 3 image generation speed on T4 GPU on Kaggle34:35 How to download all of the generated images on Kaggle at once to your computer / device
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    36 min

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