🤖 AI Summary
AI art inconsistency is a common pain point for creators, and this piece lays out five practical fixes to make outputs predictable and project-ready: write highly detailed prompts, use reusable prompt templates, keep a prompt log, apply Midjourney style references (srefs), and tweak generation settings (style weight, seed). These steps matter because they reduce the randomness baked into systems like Midjourney, improving reproducibility, brand consistency, and workflow efficiency for multi-image projects and client work.
Technically, templates should include subject, artistic style, technical details, mood, composition — even color hex codes — so only the variable (e.g., [CHARACTER]) changes. Log prompts with platform settings, seeds and thumbnails to recreate iterations. Use srefs by adding --sref <URL> (you can chain multiple URLs) and control influence via --sw (default 100) and version-specific --sv values (Midjourney V6: --sv 1–4; V7: --sv 4, 6; Niji 6 supported). Tools like Srefs.co (74k+ styles) and its Multiprompt feature (Pro plan) let you batch-test multiple srefs and compare grids to evaluate consistency, uniqueness and project fit — saving time and revealing optimal style combinations.
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