Resources

AI Image Generation Resources

A collection of guides, communities, and tools to help you get better results from whichever AI image generator you’re using — organized so you can jump straight to what you need.

Disclosure: Some links below are affiliate links. If you sign up through them, we may earn a commission at no extra cost to you.

Learn to Prompt Better

Getting good output from any AI image tool comes down to prompting — these resources apply across tools, not just one.

  • Prompt structure basics — subject, style, lighting, composition, and camera/lens details tend to matter more than clever wording
  • Style reference & consistency techniques — how to keep a character or visual style consistent across multiple generations (varies by tool — see our tool comparisons for which ones support this natively)
  • Negative prompting — describing what you don’t want, supported in some form by most major tools
  • Aspect ratio & resolution basics — matching your output size to where the image will actually be used (social post, print, web banner)

→ See our full Prompting 101 guide

Glossary: Common Terms Explained

  • Diffusion model — the underlying AI technique most image generators are built on, which creates images by gradually refining random noise into a coherent picture
  • Inpainting — editing or replacing a specific part of an existing image
  • Outpainting — extending an image beyond its original borders
  • ControlNet — a technique (mostly associated with Stable Diffusion) for guiding image generation using a reference pose, sketch, or depth map
  • Fine-tuning / LoRA — training a model on additional images to reproduce a specific character, style, or subject consistently
  • Upscaling — increasing an image’s resolution after generation, often with a dedicated tool rather than the generator itself
  • Seed — the starting number that determines an image’s random variation; reusing a seed can help reproduce similar results

Communities Worth Following

Most of the fastest tips and technique-sharing happens outside the tools’ own documentation:

  • Tool-specific Discord servers — Midjourney, Leonardo AI, and Stable Diffusion communities all run active Discords where users share prompts and troubleshoot
  • Reddit communities — r/StableDiffusion and r/midjourney are both active and useful for seeing real (not marketing) output
  • Prompt-sharing sites — several community sites let you browse and remix prompts other users have published alongside their generated images

Adjacent Tools Worth Knowing About

Tools that pair well with an AI image generator rather than replace one:

  • AI upscalers — for taking a generated image to print-ready resolution
  • Background removal tools — useful for product photography workflows
  • Prompt-generator/helper tools — for turning a rough idea into a more detailed prompt automatically
  • Batch/API tools — for generating images at scale rather than one at a time in a web app

→ See our picks for adjacent tools

Licensing & Commercial Use

Before using AI-generated images in paid or commercial work, it’s worth understanding a few basics:

  • Check the specific tool’s commercial use terms — they vary by plan tier, not just by tool. A free-tier image and a paid-tier image from the same company can have different usage rights.
  • Training data matters for legal risk. Tools trained on licensed or public-domain content (like Adobe Firefly) generally carry less copyright exposure than tools trained on broadly scraped web images.
  • Copyright status of AI images is still evolving legally in many countries — what’s protectable and what isn’t is not fully settled. This isn’t legal advice; check current guidance for your jurisdiction if commercial use is central to your business.

→ See our Commercial Use guide

Want Tool-Specific Help?

Have a resource you think belongs here? Let us know.