Master the Stable Diffusion Model for Text-Prompted Embeddings!

Table of Contents

1. Introduction
2. Selecting and Preparing Images
3. Resizing and Cropping Images
4. Creating a Unique Embedding Name
5. Pre-processing Images and Captions
6. Training the Embedding
7. Customizing the Text Prompt
8. Setting Training Parameters
9. Beginning the Training Process
10. Adding Embeddings to Stable Diffusion
11. Trying Out the New Embedding
12. Using Earlier Stage Embeddings
13. Conclusion

How to Personalize a Stable Diffusion Model

Introduction

In this tutorial, I will Show You how to personalize a Stable Diffusion Model by creating a unique embedded text prompt. By adding a person or an object to your diffusions, you can make them more personalized and tailored to your needs. This process involves selecting and preparing images, resizing and cropping them, training the embedding, customizing the text prompt, and trying out the new embedding. So, let's get started!

1. Selecting and Preparing Images

First of all, you will need to find some high-quality images of the person or object you wish to embed into stable diffusion. It is best to choose images that clearly show the person's face or the object from different angles with no obstructions. Select around 10 images for training purposes to save time.

2. Resizing and Cropping Images

Once you have selected your images, you need to resize and crop them so that they are all the same resolution. To do this easily, you can use a bulk image resizing tool like "Bulk Image Resizing Made Easy". Simply browse and select all the images within the folder you created and adjust the focal point for each image if necessary. Then save the resized images as a zip file and extract them to a folder of your choice.

3. Creating a Unique Embedding Name

In order to call up your person or object within the stable diffusion text prompt, you need to think of a unique embedding name. This name will be used later in the process. Press the "Create Embedding" button under the "Create Embedding" tab in stable diffusion and give a suitable name to your embedding.

4. Pre-processing Images and Captions

Now, let's pre-process the images and create caption text files for each image. In the "Pre-process Images" tab, set the source directory as the location of the folder containing the resized images. Choose the destination directory as a new folder called "processed". Select the option to use blip for the caption. Click on the "Pre-process" button to initiate the pre-processing.

After the pre-processing is finished, go to the "processed" folder and open each image's caption text file. Remove any unique descriptive words related to hair color, eye color, or hairstyle. Ensure that the remaining description makes Sense and correct it if needed. Save the caption text file and repeat this process for all the images.

5. Training the Embedding

Go back to the "Train" tab in stable diffusion and select the embedding that you created earlier. Set the learning rate according to your preferences, either the default constant rate or a recommended variable rate. Adjust the batch size Based on the number of images you are training. For this tutorial, we will process one image at a time. Set the gradient accumulation steps to the total number of images divided by the batch size.

Specify the location of the pre-processed images in the "Data Set Directory" box. Now, navigate to the "Textual Inversion Template" folder within the stable diffusion web UI folder. Copy and paste the "subject file words" text file and rename it to "custom subject file words". Open the newly created text file and delete all lines except for the first line, which should say "A photo of [name]". Save the text file.

Now, go back to stable diffusion and click the prompt template pull-down button. Select your custom subject file words template. If it doesn't show up, press the refresh icon. Set the max steps, save an image to the log directory, and save a copy of the embedding to the log directory every 50 steps. Also, select the option to shuffle tags by comma and set the dropout tags while creating Prompts to 0.1. Choose the latent sampling method as deterministic.

6. Customizing the Text Prompt

With all the training parameters set, We Are now ready to begin training. Press the "Train Embedding" button. This process will take several hours, depending on the number of images and training settings. Once the training is complete, your embedding is ready to use within the stable diffusion text prompt.

7. Setting Training Parameters

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8. Beginning the Training Process

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9. Adding Embeddings to Stable Diffusion

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10. Trying Out the New Embedding

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11. Using Earlier Stage Embeddings

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12. Conclusion

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Highlights

• Personalize stable diffusion models with unique embedded text prompts
• Select and prepare high-quality images for embedding
• Resize and crop images to the same resolution for consistency
• Create a unique embedding name for easy retrieval
• Pre-process images and remove descriptive words to train the embedding effectively
• Customize the text prompt and set training parameters in stable diffusion
• Begin the training process and wait for several hours for completion
• Try out the new embedding in stable diffusion's text prompt
• Add earlier stage embeddings if necessary for better results

FAQ

Q: Can I use any Type of image for embedding? A: It is recommended to use high-quality images that clearly show the person's face or the object from different angles with no obstructions for optimal results.

Q: How long does the training process take? A: The training process can take several hours, depending on the number of images and training settings chosen.

Q: Can I use multiple embeddings in stable diffusion? A: Yes, you can add multiple embeddings to stable diffusion by copying them into the main embeddings folder.

Q: Can I use embeddings from earlier stages of training? A: Yes, if you feel that your final embedding is over-trained, you can use embeddings from earlier stages. Simply specify the name of the embedding followed by the step number.