AI Image Generation Guide: From Diffusion to ControlNet
Learn about diffusion models, prompt engineering, and advanced techniques like ControlNet to create high-quality AI images.
How Diffusion Works (Simply)
Diffusion models gradually add noise to images and reverse the process to create new content from random pixels.
Prompt Engineering Essentials
Use descriptive adjectives, specify styles ("digital art, 4k"), and avoid contradictions. Example: "A cyberpunk cityscape at night, neon lights, detailed 3D render, 8k".
Advanced Techniques
Negative Prompts
Exclude unwanted elements: "low quality, blurry, deformed hands".
ControlNet
Control image structure using edge maps or depth maps for consistent design.
LoRA Models
Customize models for specific styles like "anime" with small adapters.
Inpainting
Edit specific parts of images while preserving the rest.