DREAMBOOTH: 10 MINS TRAINING In Stable Diffusion! AMAZING RESULTS!

How to Train Your Own Custom Model of Stable Diffusion Using Dreambooth

Overview:

In this tutorial, we will learn how to train a custom model of stable diffusion using the Dreambooth extension. We will cover two versions of the extension - the older version and the current version, each with its own set of instructions and parameters. By following these steps, you can achieve amazing results in just 10 minutes of training.

Step 1: Download the Required Archives

1. Click on the link provided in the video description to download the old and new archives onto your computer.
2. Extract the downloaded archives to access the contents.

Step 2: Set Up the Older Version of Dreambooth

1. Inside the extracted folders, locate the stable diffusion web UI folder.
2. Install the Dreambooth extension by clicking on "Available" in the Extensions section, then selecting Dreambooth and clicking on "Install".
3. Restart the UI to ensure the tab appears.
4. Use the provided commit numbers to revert back to the older version if needed.

Step 3: Prepare Your Images

1. Choose high-quality, varied images of your subject and resize them to 512x512 resolution.
2. Place the images in a folder, ensuring it only contains images of your subject.

Step 4: Start Training with the Older Dreambooth Version

1. Set the parameters for the training based on the provided recommendations.
2. Create a new model by specifying the instance prompt, dataset directories, learning rate, and other settings.
3. Click on "Train" to start the training process.

Step 5: Monitor Training Progress

1. Check the progress in the models folder within Dreambooth to ensure the model is training successfully.
2. Verify that the generated images align with your prompt to avoid overtraining.

Step 6: Generate Results

1. Once training is complete, choose your model and prompt, then click on "Generate" to see the results.
2. Review the generated image and assess the quality of the model.

Step 7: Using the New Version of Dreambooth

1. Install the new version of Dreambooth and set up the parameters for training multiple concepts simultaneously.
2. Follow the same process as with the older version, adjusting settings for the new features available.

Step 8: Experiment with Custom Textual Inversion Embeddings

1. Combine the custom Dreambooth model with custom textual inversion embeddings for enhanced results.
2. Use the generated images to create unique and detailed outputs.

Additional Tips:

• Ensure your GPU has sufficient VRAM for the training process.
• Regularly check and adjust the training parameters to avoid overtraining.
• Experiment with different prompts and settings to achieve desired outcomes.

By following these steps, you can effectively train your own custom model of stable diffusion using Dreambooth and achieve impressive results in a short amount of time.