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Runpod Blog.

New Runpod datacenter now live: AP-IN-1 Track GPU spend across your team with Cost Centers The GPU supply supercycle is here. Here’s what AI builders need to know. Community Spotlight: One-click AI image and video generation on Runpod with SwarmUI | Runpod Blog Community Spotlight: LoRA Pilot Data Prep to Inference Introducing the Runpod Assistant: Manage Your Cloud GPU Resources with Natural Language OpenAI's Parameter Golf: Train the Best Language Model That Fits in 16MB on Runpod LLM inference optimization: techniques that actually reduce latency and cost Pruna P-Video and Vidu Q3 public endpoints now available on Runpod Runpod brand spelling guide Quickstart - Runpod Documentation The AI market looks nothing like the narrative Training StyleGAN3 with Vision-Aided GAN on Runpod KoboldAI – The Other Roleplay Front End, And Why You May Want to Use It How to Connect Cursor to LLM Pods on Runpod for Seamless AI Dev Community Spotlight: How AnonAI Scaled Its Private Chatbot Platform with Runpod Prompt Scheduling with Disco Diffusion on Runpod Runpod's Latest Innovation: Dockerless CLI for Streamlined AI Development Run Your Own AI from Your iPhone Using Runpod Introducing Flash: Run GPU workloads on Runpod Serverless: No Docker required Use Claude Code with your own model on Runpod: No Anthropic account required Avoid Errors by Selecting the Proper Resources for Your Pod What hackers built on Runpod at TreeHacks 2026 Easily Back Up and Restore Your Pod with Cloud Sync + Backblaze B2 The Complete Guide to GPU Requirements for LLM Fine-Tuning AI Guides, Tutorials & GPU Infrastructure Insights | Runpod Your first Claude Code project within Runpod: a complete setup guide 10 billion Serverless requests and counting Building for resilience: Runpod’s response to the AWS us-east-1 outage How to Connect Google Colab to Runpod
DreamBooth on Runpod: How to Train for Great Results
Zhen Lu · 2023-03-06 · via Runpod Blog.

Ever wanted to start generating your own unique creations using your own custom dreambooth model, but didn't have any idea where to start or what settings to choose? Well, one of our users decided to put together this epically comprehensive guide by running a ton of tests on Runpod! I'm hoping it will give you a good starting point, and maybe solve some of the common problems when getting started with dreambooth training. Enjoy!

Update: Here's how to fix some of the issues when running with the latest versions of dreambooth/automatic1111

Original Video:

Warning: it contains a TON of content

Here's the TOC

0:00 Introduction

0:49 Setup and Install

7:15 Starting experiments

15:49 How to add more disk space to your existing Runpod

17:08 xformers related bug error

18:20 How to resume a failed training

18:49 All tests have been completed time to check their training samples

25:36 Finding a good seed to compare all checkpoints within each trained model

48:30 How to download all decided best checkpoints via runpodctl

49:09 How to use web terminal when jupyter connection is not available

49:56 Where to put downloaded safetensors model files  

51:05 Final Comparison

1:00:20 Conclusion