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๐ŸŽ“ TutorialsApril 4, 2026ยท 4 min read
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Batch Generation: Creating Multiple Variations Efficiently

How to generate multiple prompt variations, iterate quickly, and build a library of quality assets without wasting credits.

WorkflowAdvancedEfficiency

The Iteration Principle

Never generate your final output on the first try with an expensive model. The most efficient workflow is: iterate cheap โ†’ refine โ†’ produce final. This strategy can reduce credit waste by 60โ€“80%.

Phase 1: Concept Validation

Use Flux Schnell (40 cr) for images or Wan 2.5 (300 cr) for video. Generate 5โ€“10 variations with slight prompt differences. Identify which direction looks most promising. Total cost: under 400 credits.

Phase 2: Refinement

Take your winning concept, refine the prompt, and generate 3โ€“5 variations with a mid-range model (Flux Dev for images, Kling 2.5 Turbo for video).

Phase 3: Final Production

Use your best refined prompt with a premium model (GPT Image 2, Veo 3.1, Kling 3.0 Pro) for the final highest-quality output. You now know exactly what the output should look like, minimizing expensive retries.

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