Achieve Amazing Results with 10 Mins Training in Stable Diffusion!

Table of Contents

1. Introduction
2. The Story Behind the Extension
3. How to Use the Old Version of Dreambooth Extension
   • Extracting and installing the old version
   • Choosing a subject for training
   • Setting up the training parameters
   • Starting the training
4. Using the New Version of Dreambooth Extension
   • Extracting and installing the new version
   • Setting up the training parameters
   • Starting the training
   • Combining Dreambooth with Textual Inversion Embeddings
5. Training with the 2.1 Model as a Base
   • Creating a model with the 2.1 source checkpoint
   • Setting up the training parameters
6. Conclusion
7. FAQ

Article

Introduction

Are You interested in training your own custom model of Stable Diffusion using Dreambooth? In this article, we will explore how you can achieve results and generate ideas in just 10 minutes of training. Whether you are a beginner or an experienced user of Dreambooth, this guide will walk you through the steps of using both the old and new versions of the extension.

The Story Behind the Extension

Before we dive into the details, let's take a moment to understand the background of the Dreambooth extension. In November, a video showcasing how to train custom models using the Dreambooth extension was released. However, when the updated version of the extension was introduced, users faced difficulties in achieving satisfactory results. The extension was not as user-friendly, and the updated branch was broken for weeks, causing frustration among users.

How to Use the Old Version of Dreambooth Extension

Extracting and Installing the Old Version

To use the old version of Dreambooth, you need to download the provided Archive and extract the Contents using WinRAR. This archive includes the entire stable diffusion folder with the old version of the Dreambooth extension. Once extracted, you can easily install the extension by following the instructions.

Choosing a Subject for Training

Before starting the training process, it is essential to select a subject. Ensure that you have a variety of high-quality images related to your subject, preferably in a square format with a resolution of 512x512 pixels. Organize these images in a dedicated folder, ensuring that it contains only the Relevant images.

Setting up the Training Parameters

In the Dreambooth tab of the extension, you can configure various parameters for your training. Enter a suitable name for your model, specify the instance prompt, and choose the source checkpoint. Additionally, provide the data set directory for your sample images and the classification data set directory for regularization images. Adjust the training steps, learning rate, and other advanced settings as desired.

Starting the Training

Once all the parameters are set, you can initiate the training by clicking on the "Train" button. The training process should take approximately 10 to 15 minutes, depending on the number of training steps and the complexity of your model. Monitor the progress of the training and assess the generated preview images to ensure the model's flexibility.

Using the New Version of Dreambooth Extension

Extracting and Installing the New Version

To utilize the new version of Dreambooth, download the provided archive and extract its contents. Similar to the previous version, this archive consists of the stable diffusion folder with the new version of the Dreambooth extension. Follow the installation instructions to set up the new extension on your system.

Setting up the Training Parameters

The new version of Dreambooth offers additional options and tabs for configuring the training parameters. Choose an appropriate name for your model, specify the source checkpoint, and adjust the training steps per image. Provide the data set directories for your sample images and regularization images. You can choose to use Laura, a lighter version of Dreambooth, or opt for the standard version. Adjust the learning rate and other parameters as needed.

Starting the Training

Once the parameters are in place, click on the "Train" button to commence the training process. Similar to the old version, the training should take around 10 to 15 minutes. Monitor the progress and inspect the generated preview images to ensure the desired characteristics of your model.

Combining Dreambooth with Textual Inversion Embeddings

An exciting feature of the new version is the ability to combine Dreambooth with textual inversion embeddings. This allows for even more customization and enhanced results. By training both Dreambooth and a custom textual inversion embedding, you can generate unique and compelling images. Simply input the appropriate Prompts and parameters to achieve your desired outcome.

Training with the 2.1 Model as a Base

If you wish to train a model with the 2.1 version as the base, the process is similar to the previous versions. Create a model using the 2.1 source checkpoint, and adjust the parameters accordingly. Ensure that your sample and regularization images are set to the appropriate resolution. The training steps, learning rate, and other parameters can be adjusted as per your requirements.

Conclusion

Training your own custom model of stable diffusion using Dreambooth is now more accessible than ever. Whether you choose to use the old or new version of the extension, you can achieve impressive results within just minutes of training. Combine Dreambooth with textual inversion embeddings for added flexibility and customization. With a little exploration and experimentation, you can unlock a world of creative possibilities.

FAQ

Q: Can I use Dreambooth with my own images?

A: Absolutely! Dreambooth allows you to train custom models using your own images. Just ensure that you have a good variation of high-quality images related to your subject.

Q: How long does the training process take?

A: The training process typically takes around 10 to 15 minutes. However, the duration may vary depending on the number of training steps and the complexity of your model.

Q: Can I revert to a previous version of Dreambooth if needed?

A: Yes, both the old and new versions of Dreambooth can be installed simultaneously. If you encounter any issues with the updated version, you can easily revert back to the previous version using the provided archives.

Q: Can I combine Dreambooth with textual inversion embeddings?

A: Yes, the new version of Dreambooth allows you to combine it with textual inversion embeddings, offering even more customization and creative possibilities.

Q: Can I train a model using the 2.1 version as the base?

A: Yes, you can train a model using the 2.1 version as the base by following the provided instructions and adjusting the parameters accordingly.