"How to Generate AI Images in 2026: From First Prompt to Final File"
AI image generation went from novel to production-ready in 2026. This guide gets you from zero to a usable image, and flags the one mistake that gets people sued: assuming they own the output.
Step 1: Pick a tool
- Midjourney v7 — best artistic quality, runs through Discord, from $10/mo, no free tier. Review
- DALL-E 4 — easy, inside ChatGPT, great for quick concepts.
- Stable Diffusion — open-source and free to run locally; total control, more setup. Review
- Flux / Ideogram / Leonardo — strong mid-range picks. See the full comparison.
Step 2: Write a prompt that works
Be specific about subject, style, lighting, lens, and mood: “cinematic product shot of a matte-black kettle on a sage table, soft window light, 50mm, shallow depth of field.” Compare approaches in Midjourney vs Stable Diffusion and Midjourney vs DALL-E vs Flux.
Step 3: Control size and format
Set aspect ratio up front (–ar 16:9 for hero images, 1:1 for thumbnails, 9:16 for stories). Generate variants, then pick one to refine rather than re-rolling endlessly.
Step 4: Upscale and clean up
Upscale your pick 2–4x for print or large screens. Fix small flaws in Photoshop’s Firefly or a dedicated editor; don’t ship a first pass.
Step 5: Know your rights
This is the trap: most free tiers do not grant commercial rights, and upgrades rarely apply retroactively. If you sell the image, confirm the license first — the free vs paid guide explains it.
FAQ
Which tool should a beginner start with? DALL-E 4 inside ChatGPT for ease; Midjourney once quality matters.
Can I sell AI-generated images? Only if your plan’s license allows commercial use. Read the terms before monetizing.
Why do my images look generic? Vague prompts. Add subject, light, lens, and style, then iterate.
Bottom line
Pick one tool, learn to prompt it specifically, upscale your winner, and confirm commercial rights before you publish. Quality comes from iteration, not the first roll.