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🎓 درس تعليمي4 أبريل 2026· 4 دقيقة قراءة
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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 → refine → produce final. This strategy can reduce credit waste by 60–80%.

Phase 1: Concept Validation

Use Flux Schnell (40 cr) for images or Wan 2.5 (300 cr) for video. Generate 5–10 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 3–5 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.

→ Start Your First Batch in Studio

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