Practical guide
When Batch Text-to-Image Is the Wrong Tool
Use a practical decision matrix for exact identity, regulated claims, product fidelity, readable text, factual diagrams, privacy, rights, and safety.
The central idea
Text-to-image is an ideation and image-making tool, not a universal production shortcut. Choose another workflow when the deliverable depends on exact identity, factual structure, verified wording, product truth, measured scale, legal evidence, or repeatable precision.
A repeatable workflow
Name the consequence
Ask what happens if a person, product, word, number, diagram, culture, or claim is wrong.
Set the accuracy level
Classify the output as private exploration, illustrative concept, public atmosphere, or customer evidence.
Match the medium
Choose photography, controlled 3D, compositing, vector design, charting, illustration, or licensed stock when needed.
Use AI at the safe layer
Keep generation for mood, composition, alternatives, background, or internal storyboard if those uses remain appropriate.
Worked example
A medical dosing diagram, a real person’s identity campaign, an exact product listing, and a regulatory label require deterministic and reviewed source assets. AI can still help explore layout or atmosphere without becoming the evidence itself.
Review checklist
- Failure consequences are explicit
- Accuracy level is classified
- The medium matches the risk
- AI stays in a safe supporting role
Limitations
- Risk depends on context and jurisdiction
- A disclosure does not make a misleading image harmless