Resources & Deep-Dive
Further materials, comparison tables, and community links
Recommended Samplers Compared
The choice of sampler greatly influences image quality, speed, and style. Here is a comparative overview of the most important samplers.
Sampler | Speed | Detail Level | Optimal Steps | Recommended for | Notes |
---|---|---|---|---|---|
Euler a | Fast | Medium | 20-25 |
| Good all-rounder, often default |
DPM++ 2M Karras | Medium | High | 25-30 |
| Excellent balance of quality and speed |
DDIM | Fast | Medium | 30-50 |
| Stable, good for iterating on existing images |
LMS | Medium | Medium-High | 30-40 |
| Interesting creative results |
Tip for Sampler Choice:
Start your experiments with Euler a for quick tests and switch to DPM++ 2M Karras for final image generation. Adjust the steps accordingly: more steps for complex images, fewer for simpler subjects.
Cheatsheets: Style Keywords and Weights
These collections of commonly used keywords help you quickly find suitable style terms for your prompts.
Style Keywords by Category
Keyword | Effect/Description |
---|---|
photorealistic | Photorealistic representation |
hyperrealistic | Exaggerated but realistic-looking details |
8k | High-resolution image quality |
cinematic | Film-like lighting and composition |
professional photography | Professional photo quality |
Keyword | Effect/Description |
---|---|
oil painting | Oil painting texture and colors |
watercolor | Light, transparent watercolor look |
digital art | Contemporary digital art style |
concept art | Professional, detailed concept art |
anime style | Japanese anime style |
Keyword | Effect/Description |
---|---|
golden hour | Warm, golden light like sunrise/sunset |
volumetric lighting | Visible light rays and atmospheric lighting |
studio lighting | Professional, clean studio lighting |
dramatic lighting | Strong contrasts between light and dark |
rim light | Edge/outline of an object is illuminated |
Weighting Cheatsheet
For Main Subjects
For Backgrounds
For Styles
Weighting Formula:
- Parentheses increase influence:
(word)
= 1.1×,((word))
= 1.21× - Square brackets decrease:
[word]
= 0.9×,[[word]]
= 0.81× - Exact values with colon:
word:1.2
= 1.2×
Community & Further Resources
The AI image generation community is very active and constantly shares new insights, models, and prompts. Here are important starting points for your further journey.
Community & Prompt Inspiration
Bookmarks & Terminology
Recommended Bookmarks for Getting Started
"LoRA Training Simplified" by Aitrepreneur
A detailed guide to training your own LoRAs, explained clearly.
YouTube ↗"The Stable Diffusion Parameters Guide" by HuggingFace
Detailed explanation of all SD parameters and their effects.
HuggingFace Blog ↗"Prompt Engineering Guide" by Learn Prompting
Systematic guide to creating effective prompts for text-to-image models.
Website ↗
Important Terms and Terminology
VAE
Variational Autoencoder - Part of the model that influences final image quality and color reproduction.
Embedding
Trained text concepts that package complex ideas or styles into a single term.
Inpainting
Technique for selectively replacing/modifying parts of an already generated image.
CLIP
Contrastive Language-Image Pre-Training - Connection layer between text and image in SD.
Congratulations!
You have completed all additional sections of the tutorial and now have comprehensive resources for your advanced learning in AI image generation.