Full tutorial is here : https://youtu.be/HKX8_F1Er_w

Do not skip any part of this tutorial to master how to use Stable Diffusion 3 (SD3) with the most advanced generative AI open source APP SwarmUI. Automatic1111 SD Web UI or Fooocus are not supporting the #SD3 yet. Therefore, I am starting to make tutorials for SwarmUI as well.  #StableSwarmUI is officially developed by the StabilityAI and your mind will be blown after you watch this tutorial and learn its amazing features. StableSwarmUI uses #ComfyUI as the back end thus it has all the good features of ComfyUI and it brings you easy to use features of Automatic1111   #StableDiffusion Web UI with them. I really liked SwarmUI and planning to do more tutorials for it.

🔗 The Public Post (no login or account required) Shown In The Video With The Links ➡️ https://www.patreon.com/posts/stableswarmui-3-106135985
 
0:00 Introduction to the Stable Diffusion 3 (SD3) and SwarmUI and what is in the tutorial
4:12 Architecture and features of SD3
5:05 What each different model files of Stable Diffusion 3 means
6:26 How to download and install SwarmUI on Windows for SD3 and all other Stable Diffusion models
8:42 What kind of folder path you should use when installing SwarmUI
10:28 If you get installation error how to notice and fix it
11:49 Installation has been completed and now how to start using SwarmUI
12:29 Which settings I change before start using SwarmUI and how to change your theme like dark, white, gray
12:56 How to make SwarmUI save generated images as PNG
13:08 How to find description of each settings and configuration
13:28 How to download SD3 model and start using on Windows
13:38 How to use model downloader utility of SwarmUI
14:17 How to set models folder paths and link your existing models folders in SwarmUI
14:35 Explanation of Root folder path in SwarmUI 
14:52 VAE of SD3 do we need to download?
15:25 Generate and model section of the SwarmUI to generate images and how to select your base model
16:02 Setting up parameters and what they do to generate images
17:06 Which sampling method is best for SD3
17:22 Information about SD3 text encoders and their comparison
18:14 First time generating an image with SD3
19:36 How to regenerate same image
20:17 How to see image generation speed and step speed and more information
20:29 Stable Diffusion 3 it per second speed on RTX 3090 TI
20:39 How to see VRAM usage on Windows 10
22:08 And testing and comparing different text encoders for SD3
22:36 How to use FP16 version of T5 XXL text encoder instead of default FP8 version
25:27 The image generation speed when using best config for SD3
26:37 Why VAE of the SD3 is many times better than previous Stable Diffusion models, 4 vs 8 vs 16 vs 32 channels VAE
27:40 How to and where to download best AI upscaler models
29:10 How to use refiner and upscaler models to improve and upscale generated images
29:21 How to restart and start SwarmUI
32:01 The folders where the generated images are saved
32:13 Image history feature of SwarmUI
33:10 Upscaled image comparison
34:01 How to download all upscaler models at once
34:34 Presets feature in depth
36:55 How to generate forever / infinite times
37:13 Non-tiled upscale caused issues
38:36 How to compare tiled vs non-tiled upscale and decide best
39:05 275 SwarmUI presets (cloned from Fooocus) I prepared and the scripts I coded to prepare them and how to import those presets
42:10 Model browser feature
43:25 How to generate TensorRT engine for huge speed up
43:47 How to update SwarmUI
44:27 Prompt syntax and advanced features
45:35 How to use Wildcards (random prompts) feature

Zero To Hero Stable Diffusion 3 Tutorial With Amazing Stable Swarm SD Web UI That Utilizes ComfyUI

Video Tutorial Is Here : https://youtu.be/XFUZof6Skkw

This video offers a comprehensive guide on installing and utilizing #SwarmUI on various cloud platforms. It's particularly beneficial for those without access to high-powered GPUs or seeking additional GPU capabilities. The tutorial covers the implementation of SwarmUI, a leading Generative AI interface, on Massed Compute, RunPod, and Kaggle (which provides free dual T4 GPU access for 30 hours weekly). You'll discover how to seamlessly operate SwarmUI on cloud GPU providers, mirroring the experience of using it on a local PC. Additionally, the video demonstrates the use of Stable Diffusion 3 (#SD3) in cloud environments. It's worth noting that SwarmUI employs a #ComfyUI backend.

🔗 Access the Video's Public Post (no login required) with All Links ➡️ https://www.patreon.com/posts/stableswarmui-3-106135985

🔗 Windows Tutorial for SwarmUI Usage ➡️ https://youtu.be/HKX8_F1Er_w

🔗 Guide for Rapid Model Downloads to Massed Compute, RunPod, Kaggle, and Swift Model Uploads to Hugging Face ➡️ https://youtu.be/X5WVZ0NMaTg

🔗 Join SECourses Discord ➡️ https://discord.com/servers/software-engineering-courses-secourses-772774097734074388

🔗 Stable Diffusion GitHub Repository (Consider Starring, Forking, and Watching) ➡️ https://github.com/FurkanGozukara/Stable-Diffusion

Promotional Code for Massed Compute: SECourses
Applicable to Alt Config RTX A6000 and RTX A6000 GPUs

0:00 Introduction to the SwarmUI cloud services tutorial (Massed Compute, RunPod & Kaggle)
3:18 SwarmUI installation and usage on Massed Compute virtual Ubuntu machines
4:52 ThinLinc client synchronization folder setup for Massed Compute virtual machine access
6:34 Connecting to and initiating use of Massed Compute virtual machine post-initialization
7:05 One-click SwarmUI update on Massed Compute prior to usage
7:46 Configuring multiple GPUs on SwarmUI backend for simultaneous image generation
7:57 Monitoring GPU status via nvitop command
8:43 Pre-installed Stable Diffusion models on Massed Compute
9:53 Model download speed on Massed Compute
10:44 Identifying GPU backend setup errors in 4-GPU configuration
11:42 Monitoring status of all 4 active GPUs
12:22 Image generation and step speed for SD3 on RTX A6000 (Massed Compute)
12:50 CivitAI API key setup for accessing gated models
13:55 Rapid image download from Massed Compute
15:22 Latest SwarmUI installation on RunPod with proper template selection
16:50 Port configuration for SwarmUI connection post-installation
17:50 RunPod SwarmUI installer sh file download and execution
19:47 Pod restart to resolve backend loading issues
20:22 Reinitiating SwarmUI on RunPod
21:14 Stable Diffusion 3 (SD3) download and implementation on RunPod
22:01 Multi-GPU backend system configuration on RunPod
23:22 Generation speed on RTX 4090 (SD3 step speed)
24:04 Quick image download from RunPod to local device
24:50 SwarmUI and Stable Diffusion 3 installation and usage on free Kaggle accounts
28:39 Modifying model root folder path in SwarmUI on Kaggle for temporary disk space utilization
29:21 Adding a second backend to utilize the second T4 GPU on Kaggle
29:32 Cancelling and restarting SwarmUI runs
31:39 Stable Diffusion 3 model usage and image generation on Kaggle
33:06 Resolving out-of-RAM errors on Kaggle
33:45 Disabling one backend to prevent RAM errors with dual T5 XXL text encoder usage
34:04 Stable Diffusion 3 image generation speed on Kaggle's T4 GPU
34:35 Batch image download from Kaggle to local device

How to Use SwarmUI & Stable Diffusion 3 on Cloud Services Kaggle (free), Massed Compute & RunPod

Video tutorial :  https://youtu.be/FPtpNrmuwXk

LivePortrait AI: Transform Static Photos into Talking Videos. Now supporting Video to Video conversion and Enhanced Expression Transfer at Incredible Speed

A new tutorial is anticipated to showcase the latest features in V3, including Video to Video functionality and other additions.

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

The V3 update introduces video-to-video capability. This tutorial provides a 1-Click installation method for the open-source LivePortrait application on Windows, allowing local operation. It introduces the cutting-edge LivePortrait, an open-source image-to-animation generator. Simply provide a static image and a driving video to create an impressive animation in seconds. LivePortrait boasts exceptional speed and accurately preserves 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

The video tutorial covers:
0:00 Introduction to LivePortrait
2:20 Downloading and installing LivePortrait Gradio application
3:27 Requirements and installation process
4:07 Verifying correct installation of requirements
5:02 Confirming successful installation and saving logs
5:37 Launching LivePortrait after installation
5:57 Supplementary materials provided (portrait images, driving video, rendered videos)
7:28 Using LivePortrait application
8:06 VRAM usage for generating 73-second animation
8:33 First image animation
8:50 Monitoring animation progress
10:10 First animation video rendering
10:24 Resolution of rendered animations


The V3 update now includes video-to-video functionality. 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 one-click installation and usage of LivePortrait on #MassedCompute, #RunPod, and even a free #Kaggle account. After 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 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

The cloud tutorial video covers:
0:00 Introduction to LivePortrait cloud tutorial

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

Hello everyone. I am Dr. Furkan Gözükara. I have PhD in Computer Engineering.

I have been specializing in Generative AI since 2022. In this space, I will share all my knowledge regarding the Generative AI and Tech. Make sure to follow our space and open notifications.

In this space I will share the very 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, Super-Resolution, Image Enhancement, Image Restoration, Video Restoration, Synthetic Voice, Voice Training, Speech Synthesis, Zero-shot Generation, Virtual Characters, Image Generation, Text Generation, Music Generation, Video Generation, Deepfakes and Face Swapping, Style Transfer, 3D Model Generation, Text-to-Speech (TTS), Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Text Summarization, Machine Translation, Synthetic Data Generation, DALL-E, Midjourney, Whisper, Image Captioning, Dataset Generation, Dataset Preparation, Dataset Preprocessing, Image Processing, RunwayML and many more.

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

Furkan Gözükara

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