Making images that say what you mean | Master AI Automation in 4 hours Master AI Automation in 4 hours Course About Ayush Modules Sample chapter Toolbox The Microcap Minute Module 09: Images, Voice & Video / Chapter 1 Making images that say what you mean Watch first, then read.
Same lesson, your pace.
What you will learn - The four-part image prompt - Where to generate for free - Text-in-images and the fixes The four parts Image models predict pictures from descriptions, so description quality rules results.
Structure prompts as: Subject , what , specifically: "a Bengal cat wearing sunglasses" not "a cool cat" Style , how rendered : "watercolour illustration", "3D render", "1990s textbook diagram", "studio photograph" Composition , framing : "close-up", "wide shot from above", "centred, plain background" Constraints , "no text", "muted colours", "white background" "A friendly cartoon tiger explaining fractions at a blackboard, flat vector illustration, centred, white background, no text." Iterate like Module 2 taught, one change per generation.
And keep a prompts/images.md of winners; image prompts are even more re-usable than text ones.
Free-first options ChatGPT's image generation (free tier includes limited generations), strong all-rounder, good with instructions Gemini's image generation (free tier), fast iteration, decent quality Bing/Microsoft Image Creator , free DALL·E-based generations with daily boosts Ideogram / similar freemium tools , notably better at rendering readable text inside images Paid leaders (Midjourney etc.) earn their price in aesthetics and control, after you've exhausted free learning capacity, not before.
Text in images: the honest warning Models historically mangle words inside images ("STUDY SESION").
Fixes: put text in afterward with any editor, use text-specialised tools (Ideogram-class), or accept stylised gibberish where it doesn't matter.
Check spelling on every generated poster before showing anyone.
One more habit from Module 11 (preview): generated photorealistic people and events carry ethical weight.
Cartoon diagrams of tigers don't.
Keep the line visible.
Try it yourself Generate the tiger-fractions prompt above in two different free tools.
Then run a controlled experiment: same subject + style, three different compositions; note how framing changes usefulness.