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Why batch generation matters
A/B testing requires variants. Campaign exploration requires options. Content volume requires output. Batch generation solves all three.
The batch workflow
Step 1: Generate (25 seconds for 50 images)
Use consistent constraints across all variations. Change one variable at a time: composition, lighting, or style.
Step 2: Curate on canvas (5 minutes)
Place all candidates on a canvas. Score against three criteria: - Clarity: Is the subject immediately recognizable? - Fit: Does it match the brief? - Brand: Does it align with visual identity?
Step 3: Refine winners (2 minutes)
Take top 20% and refine with local edits or re-generation.
Step 4: Export (30 seconds)
Export winners in required formats.
Speed benchmarks
| Batch size | Vibart | Midjourney | DALL-E | |-----------|--------|------------|-------| | 8 images | 6s | 18s | 22s | | 20 images | 15s | 45s | 55s | | 50 images | 25s | 2min | 4.5min |
Curation framework
| Score | Criteria | Action | |-------|----------|--------| | 5 | Perfect fit | Keep, refine | | 4 | Strong | Keep | | 3 | Acceptable | Consider if needed | | 2 | Weak | Discard | | 1 | Off-brief | Discard |
FAQ
Q: How do I avoid batch fatigue? A: Score in batches of 10, not all at once. Take breaks between scoring rounds.
Q: Can I reuse batch results? A: Yes. Save winning prompts and constraints for future batches. Build a prompt library.
Q: What tool is fastest for batching? A: Vibart: 50 images in 25 seconds. The fastest among tested tools.