Blazing Fast & Ultra Cheap FLUX LoRA Training on Massed Compute & RunPod Tutorial - No GPU Required!

Unlock the power of FLUX LoRA training, even if you're short on GPUs or looking to boost speed and scale! This comprehensive guide takes you from novice to expert, showing you how to use Kohya GUI for creating top-notch FLUX LoRAs in the cloud. We'll cover everything: maximizing quality, optimizing speed, and finding the best deals. With our exclusive Massed Compute discount, you can rent 4x RTX A6000 GPUs for just $1.25 per hour, supercharging your training process. Learn how to leverage RunPod for both cost-effective computing and permanent storage. We'll also dive into lightning-fast uploads of your training checkpoints to Hugging Face, seamless downloads, and integrating LoRAs with popular tools like SwarmUI and Forge Web UI. Get ready to master the art of efficient, high-quality AI model training! 🔗 Full Instructions and Links Written Post (the one used in the tutorial) ⤵️ ▶️ https://www.patreon.com/posts/click-to-open-post-used-in-tutorial-110879657 0:00 Introduction to FLUX Training on Cloud Services (Massed Compute and RunPod) 0:45 Overview of Platform Differences and Why Massed Compute is Preferred for FLUX Training 2:01 Using FLUX, Kohya GUI, and Using 4x GPUs for Fast Training 3:08 Exploring Massed Compute Coupons and Discounts: How to Save on GPU Costs 5:35 Detailed Setup for Training FLUX on Massed Compute: Account Creation, Billing, and Deploying Instances 6:59 Deploying Multiple GPUs on Massed Compute for Faster Training 8:53 Setting Up ThinLinc Client for File Transfers Between Local Machine and Cloud 9:04 Troubleshooting ThinLinc File Transfer Issues on Massed Compute 9:25 Preparing to Install Kohya GUI and Download Necessary Models on Massed Compute 10:02 Upgrading to the Latest Version of Kohya for FLUX Training 11:02 Downloading FLUX Training Models and Preparing the Dataset 11:53 Checking VRAM Usage with nvitop: Real-Time Monitoring During FLUX Training 13:33 Speed Optimization Tips: Disabling T5 Attention Mask for Faster Training 17:44 Understanding the Trade-offs: Applying T5 Attention Mask vs. Training Speed 18:40 Setting Up Multi-GPU Training for FLUX on Massed Compute 18:52 Adjusting Epochs and Learning Rate for Multi-GPU Training 22:24 Achieving Near-Linear Speed Gain with 4x GPUs on Massed Compute 24:34 Uploading FLUX LoRAs to Hugging Face for Easy Access and Sharing 24:56 Using SwarmUI on Your Local Machine via Cloudflare for Image Generation 26:04 Moving Models to the Correct Folders in SwarmUI for FLUX Image Generation 27:07 Setting Up and Running Grid Generation to Compare Different Checkpoints 30:43 Downloading and Managing LoRAs and Models on Hugging Face 33:35 Generating Images with FLUX on SwarmUI and Finding the Best Checkpoints 38:22 Advanced Configurations in SwarmUI for Optimized Image Generation 39:25 How to Use Forge Web UI with FLUX Models on Massed Compute 39:33 Setting Up and Configuring Forge Web UI for FLUX on Massed Compute 40:03 Moving Models and LoRAs to Forge Web UI for Image Generation 41:15 Generating Images with LoRAs on Forge Web UI 44:38 Transition to RunPod: Setting Up FLUX Training and Using SwarmUI/Forge Web UI 45:13 RunPod Network Volume Storage: Setup and Integration with FLUX Training 45:49 Differences Between Massed Compute and RunPod: Speed, Cost, and Hardware 47:19 Deploying Instances on RunPod and Setting Up JupyterLab 48:05 Installing Kohya GUI and Downloading Models for FLUX Training on RunPod 48:48 Preparing Datasets and Starting FLUX Training on RunPod 51:55 Monitoring VRAM and Training Speed on RunPod’s A40 GPUs 56:42 Optimizing Training Speed by Disabling T5 Attention Mask on RunPod 58:20 Comparing GPU Performance Across Platforms: A6000 vs A40 in FLUX Training 58:38 Setting Up Multi-GPU Training on RunPod for Faster FLUX Training 58:58 Adjusting Learning Rate and Epochs for Multi-GPU Training on RunPod 1:03:41 Achieving Near-Linear Speed Gain with Multi-GPU FLUX Training on RunPod 1:05:46 Completing FLUX Training on RunPod and Preparing Models for Use 1:05:52 Managing Multiple Checkpoints: Best Practices for FLUX Training 1:06:04 Using SwarmUI on RunPod for Image Generation with FLUX LoRAs 1:08:18 Setting Up Multiple Backends on SwarmUI for Multi-GPU Image Generation 1:10:50 Generating Images and Comparing Checkpoints on SwarmUI on RunPod 1:11:55 Uploading FLUX LoRAs to Hugging Face from RunPod for Easy Access 1:12:08 Advanced Download Techniques: Using Hugging Face CLI for Batch Downloads 1:15:16 Fast Download and Upload of Models and LoRAs on Hugging Face 1:17:14 Using Forge Web UI on RunPod for Image Generation with FLUX LoRAs 1:18:01 Troubleshooting Installation Issues with Forge Web UI on RunPod 1:23:25 Generating Images on Forge Web UI with FLUX Models and LoRAs 1:24:20 Conclusion and Upcoming Research on Fine-Tuning FLUX with CLIP Large Models