Learn how to create AI-generated art using DreamBooth and Stable Diffusion in this comprehensive tutorial video. Discover essential prompting tips and techniques to produce stunning images from text prompts and reference images. Follow along with step-by-step instructions on setting up the environment, connecting to Google Drive, installing dependencies, and downloading models from HuggingFace. Master the process of training custom models, testing prompts, and fine-tuning results. Explore tools like Observable Notebooks, Google Colab, and Lexica for finding inspiration and optimizing your workflow. Gain insights into prompt parameter breakdowns and local implementation on Mac using DiffusionBee. By the end of this guide, you'll have the skills to generate impressive AI art using your own prompts and reference images.
How to Make AI Art - DreamBooth and Stable Diffusion Tutorial with Prompting Tips and Demo
Tejas Kumar via YouTube
Overview
Syllabus
- Intro
- The GitHub Project
- Observable Notebooks
- Entering Google Colab
- Prerequisites
- Step 1: Connecting Google Drive
- Step 2: Installing Dependencies
- Step 3: Downloading the Model from HuggingFace
- Step 4: Creating a Session
- Step 5: Uploading Reference Images
- Step 6: Training the Model
- maybe skip Goofing Around While Training
- Step 7: Testing the Trained Model
- Testing Basic Prompts
- Prompt Parameter Breakdown
- Finding Good Prompts on Lexica
- Fine-tuning Prompts
- Wrapping up the Notebook
- Local Stable Diffusion on Mac with DiffusionBee
- Conclusion
Taught by
Tejas Kumar
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