Dreambooth stable diffusion lets you put anything – a loved one, a puppy, or a beloved toy — into a Stable Diffusion model. In this article, let’s discover what Dreambooth Stable Diffusion is, how it works, and how to train it.

This tutorial is good for persons who have used Stable Diffusion before but have never used Dreambooth.

What is Dreambooth Stable Diffusion? 

Dreambooth was developed by Google’s research team in 2022 to fine-tune diffusion models (such as Stable Diffusion) by inserting a bespoke topic into the model.

What’s the meaning behind the name Dreambooth? 

According to the Google research team. It’s similar to a photo booth, but once the topic is caught, it may be synthesized and sent based on your imagination.

How does Dreambooth Work?

You may wonder why you can’t simply train the model with more steps using those photos. The problem is that doing so may result in catastrophic failure due to overfitting (because of the limited dataset size) and language drift.

Dreambooth overcomes these issues by:

• Using an uncommon term for the new topic (Note: You can name Sunny for the cat) so that it does not have so much meaning in the model in the first place.
• Prior class preservation: To maintain the meaning of the class (cat in this example), the model is fine-tuned such that the subject (Sunny) is injected while the image creation of the class (cat) is kept.
• Another approach related to this is textual inversion. The distinction is that Dreambooth fine-tunes the entire model, whereas textual inversion injects a new term rather than recycling an uncommon one and fine-tunes only the text embedding portion of the model.

What do You Need to Train Dreambooth?

You will require three items:

• a few unique images
• A distinct identification
• A class title

In the preceding example. Sunny is the unique identifier. Cat is the name of the class.

Then you must build your instance prompt:

• a photo of [unique identifier] [class name]
• And here’s a class prompt:
• a photo of [class name]

In the above example, the instance prompt is

• a picture of Devora the cat
• Devora is a cat, hence the class prompt is
• a cat photo

Now that you have everything you need, let’s get started on the training!

Dreambooth Stable Diffusion tutorial

Below are the best practices:

Images Training

• High-quality training data, like with every machine learning activity, is the single most significant aspect of your success.
• Take 3-10 photos of your chosen subject. The photos should be shot from several angles.
• The topic should also be set against different backgrounds so that the model can distinguish the subject from the backdrop.
• This toy will be used in the instruction.

Resize your Images

To use the photos for training, you must first scale them to 512×512 pixels for training with v1 models.

• Upload your photos to the image resizer tool or website.
• Adjust the canvas of each image so that it effectively depicts the subject.
• Check that the width and height are both 512 pixels.
• Then save the resize image to your computer.

Dreambooth Stable Diffusion Training

1. Get this Dreambooth Guide then open the Colab notebook.
2. If you want to train from the Stable Diffusion v1.5 model (recommended), you don’t need to update the MODEL_NAME.
3. Insert instance and class prompts. For example, my toy rabbit’s name is zwx, thus my instance prompt is “photo of zwx toy” and my class prompt is “photo of a toy.”
4. To begin processing, click the Play button () on the left of the cell.
5. Give Google Drive access permission. Currently, the only option to obtain the model file is to save it to Google Drive.
6. Select Files to import the resized photos.
7. The workout should take about 30 minutes. When it’s finished, you should see a few examples of photos created using the new model.
8. Your custom model will be saved in the folder Dreambooth_model in your Google Drive. Install the model checkpoint file in your preferred graphical user interface.

Testing the Model

You may also test the model in the second cell of the notebook.

Using the prompt:

oil painting of zwx in style of van gogh

How to Use the Dreambooth Stable Diffusion

The model checkpoint file may be used in the AUTOMATIC1111 GUI. It is a free and full-featured graphical user interface that can run on Windows, Mac, or Google Colab.

If you haven’t used the GUI and the model file is in your Google Drive, the Google Colab option is the simplest. To use it, just enter the path to the model in Google Drive. You can find more information in the step-by-step instructions.

Also Read: Stable Diffusion AI: A Full Guideline To Create AI Images

Conclusion

Above are all you need to know about Dreambooth Stable Diffusion. We hope this guide helps you break the ice when it comes to fine-tuning Stable Diffusion.

If you encounter any problems or have any questions, please leave a comment and we’ll get back to you as soon as possible.