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.

SamplerSpeedDetail LevelOptimal StepsRecommended forNotes
Euler aFastMedium20-25
  • General images
  • Quick tests
  • Creative explorations
Good all-rounder, often default
DPM++ 2M KarrasMediumHigh25-30
  • Photorealism
  • Portraits
  • Detailed scenes
Excellent balance of quality and speed
DDIMFastMedium30-50
  • Inpainting
  • Img2Img
  • Consistent results
Stable, good for iterating on existing images
LMSMediumMedium-High30-40
  • Abstract art
  • Stylized images
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

Photographic Realism +
KeywordEffect/Description
photorealisticPhotorealistic representation
hyperrealisticExaggerated but realistic-looking details
8kHigh-resolution image quality
cinematicFilm-like lighting and composition
professional photographyProfessional photo quality
Artistic Styles +
KeywordEffect/Description
oil paintingOil painting texture and colors
watercolorLight, transparent watercolor look
digital artContemporary digital art style
concept artProfessional, detailed concept art
anime styleJapanese anime style
Lighting +
KeywordEffect/Description
golden hourWarm, golden light like sunrise/sunset
volumetric lightingVisible light rays and atmospheric lighting
studio lightingProfessional, clean studio lighting
dramatic lightingStrong contrasts between light and dark
rim lightEdge/outline of an object is illuminated

Weighting Cheatsheet

For Main Subjects

(subject) 1.1×
((subject)) 1.21×
subject:1.3 1.3×

For Backgrounds

[background] 0.9×
background:0.7 0.7×

For Styles

style:1.1 1.1×
(style) 1.1×

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

Civitai

Community hub for models, LoRAs, and prompts

Visit ↗

Lexica

Search engine for AI-generated images with prompts

Visit ↗

PromptHero

Curated prompts and tutorials

Visit ↗

r/StableDiffusion

Reddit community for Stable Diffusion

Visit ↗

Technical Documentation & Papers

Stable Diffusion Web UI Wiki

Official documentation for A1111 UI

Visit ↗

Hugging Face

Official model repository

Visit ↗

Papers With Code

Scientific papers on Text-to-Image

Visit ↗

ComfyUI Documentation

Node-based UI for Stable Diffusion

Visit ↗

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.