Basic concepts on AIGC
  • About the course materials
  • General Course Format and Strategies
  • Introduction
  • Foundations for AIGC
    • Computers and content generation
    • A brief introduction to AI
      • What AI is?
      • What ML is?
      • What DL is?
      • Discriminative AI vs. Generative AI
  • Generative AI
    • Introduction to Generative AI
      • Going deeper into Generative AI models
  • Deep Neural Networks and content generation
    • Image classification
    • Autoencoders
    • GAN: Generative Adversarial networks
    • Transformers
    • Diffusion models
      • Basic foundations of SD
  • Current image generation techniques
    • GANs
  • Current text generation techniques
    • Basic concepts in NLP in Large Language Models (LLMs)
    • How chatGPT works
  • Prompt engineering
    • Prompts for LLM
    • Prompts for image generators
  • Current AI generative tools
    • Image generation tools
      • DALL-E 2
      • Midjourney
        • More experiments with Midjourney
        • Composition and previous pictures
        • Remixing
      • Stable diffusion
        • Dreambooth
        • Fine-tuning stable diffusion
      • Other solutions
      • Good prompts, img2img, inpainting, outpainting, composition
      • A complete range on new possibilities
    • Text generation tools
      • OpenAI GPT
        • GPT is something really wide
      • ChatGPT
        • Getting the most from chatGPT
      • Other transformers: HuggingFace
      • Other solutions
      • Making the most of LLM
        • Basic possibilities
        • Emergent abilities of LLM
    • Video, 3D, sound, and more
    • Current landscape of cutting-edge AI generative tools
  • Use cases
    • Generating code
    • How to create good prompts for image generation
    • How to generate text of quality
      • Summarizing, rephrasing, thesaurus, translating, correcting, learning languages, etc.
      • Creating/solving exams and tests
  • Final topics
    • AI art?
    • Is it possible to detect AI generated content?
    • Plagiarism and copyright
    • Ethics and bias
    • AI generative tools and education
    • The potential impact of AI generative tools on the job market
  • Glossary
    • Glossary of terms
  • References
    • Main references
    • Additional material
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  • The best website for SD inspiration
  • If we want to have full control of SD models
  • AUTOMATIC111
  1. Current AI generative tools
  2. Image generation tools

Stable diffusion

The open 2.0 new revolution: model + training

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Last updated 2 years ago

From online services, to local solutions, the range of possibilities to use stable diffusion models are almost limitless.

The best website for SD inspiration

If we want to have full control of SD models

We will cover the most interesting one, AUTOMATIC111 as the most complete and powerful, and a collection of forks, and variations based on different new possibilities of thin kind of generative models.

AUTOMATIC111

The original repository can be found here:

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GitHub - AUTOMATIC1111/stable-diffusion-webui: Stable Diffusion web UIGitHub
Original githun repository of AUTOMATIC111
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