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Study mode:
on
1
- Intro
2
- The GitHub Project
3
- Observable Notebooks
4
- Entering Google Colab
5
- Prerequisites
6
- Step 1: Connecting Google Drive
7
- Step 2: Installing Dependencies
8
- Step 3: Downloading the Model from HuggingFace
9
- Step 4: Creating a Session
10
- Step 5: Uploading Reference Images
11
- Step 6: Training the Model
12
- maybe skip Goofing Around While Training
13
- Step 7: Testing the Trained Model
14
- Testing Basic Prompts
15
- Prompt Parameter Breakdown
16
- Finding Good Prompts on Lexica
17
- Fine-tuning Prompts
18
- Wrapping up the Notebook
19
- Local Stable Diffusion on Mac with DiffusionBee
20
- Conclusion
Description:
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
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