The honest answer: “best” depends on your goal
People search “best AI image generator” when they want a shortcut, but the real decision is:
- Speed (fast exploration)
- Quality (highest fidelity)
- Editing (inpainting / local changes)
- Consistency (style + character identity)
A workflow-first way to choose
1) If you need fast exploration
Pick a fast model and generate many options (8–12). Your goal is direction-finding, not perfection.
2) If you need highest quality
Use a quality model for finalists, not for every iteration. Generate fewer, refine more.
3) If you need image editing
Choose a model that supports edit-style instructions and references. In practice, editing is about small deltas, not whole re-generations.
The 80/20 loop that ships
- Generate 8–12 directions
- Pick 2–3 winners
- Re-generate only the weakest components
- Add real typography and layout in a canvas editor
How to avoid “same-looking” outputs
- Change composition, not just adjectives
- Use 1–3 reference images
- Keep constraints consistent (subject, lighting, palette)
FAQ
Q: Do I need a long prompt?
A: No. A brief-style prompt with clear constraints beats a long paragraph.
Q: Why does text in images break?
A: Models learn text as pixels. Use AI for background/layout hints, then add real text on the canvas.
Q: What should I try first?
A: Start with fast exploration, then move to quality for finalists, and use editing only for targeted changes.