Stable Diffusion AI: A latent diffusion model for generating AI images that can be photorealistic or artistically stylized. It is free to use and can run on personal computers or online for a fee.
Prompt: A description of an image that guides the generation process.
Advantages of Stable Diffusion
Open-source: Encourages community-developed tools and models.
Designed for low-power computers: Cost-effective to run.
Cost of Stable Diffusion
Free when run on personal machines (Windows or Mac).
Requires a fee for online services.
Getting Started
Run on PC or use online services.
Choose a suitable GUI (Graphical User Interface):
Online Generators: Good for beginners, simple setup.
PC Setup: More powerful with an Nvidia GPU on Windows or Apple Silicon on Mac.
Advanced GUI: For more features beyond basic online generators.
Capabilities of Stable Diffusion
Image Generation from Text: Create images based on textual descriptions.
Image-to-Image (img2img): Transform one image into another using prompts.
Photo Editing and Inpainting: Edit parts of images, similar to Photoshop's generative fill.
Video Creation: Generate videos from text prompts or stylize existing videos.
Building Good Prompts
Detail and Specificity: Describe images with detailed and specific prompts.
Use Powerful Keywords: Celebrity names, artist names, and art mediums can strongly influence the output.
Prompt Generators: Useful for learning and developing effective prompts.
Parameters and Image Generation
Important Parameters:
Image size: Typically 512x512 pixels.
Sampling steps: Start with at least 20.
CFG scale: Commonly set to 7.
Seed value: Use -1 for random images.
Generating Multiple Images
Always generate multiple variations to find the best result.
Fixing Image Defects
Face Restoration: Use AI models like CodeFormer for fixing facial artifacts.
Inpainting: Repair defects by regenerating parts of the image.
Custom Models
Base Models: Official models released by Stability AI.
Custom Models: Trained for specific styles or objects.
Model Training: Use Dreambooth or embedding techniques to train new models.
Negative Prompts
Used to specify what should not be included in the generated image.
Creating Large Prints
Start with appropriately sized images and upscale them using AI upscalers.
Controlling Image Composition
Image-to-Image: Use input images to guide the composition.
ControlNet: Extract specific information like poses to direct output.
Regional Prompting: Specify prompts for certain parts of images.
Depth-to-Image: Control composition by distinguishing foreground and background.
Generating Specific Subjects
Generate realistic people and animals using specific prompts and models.
Unstable Diffusion
A separate company focused on AI models for adult content, not affiliated with Stability AI.
Next Steps
Continue learning through structured courses or explore more advanced tutorials.