Negative Prompt Cleaner & Optimizer
Outdated 200-word negative prompt "magic spells" destroy attention heads in modern diffusion models. Strip obsolete token bloat, fix broken bracket weights, and generate clean, high-precision negative parameters in 0ms.
π₯ Raw Negative Prompt or Prompt Bloat
β¨ Optimized Output
Midjourney does not have a separate negative prompt field. Append --no [items] at the very end of your main prompt, separated by single commas. Do not include weights like ::1.5 inside --no.
Why Excessive Negative Prompts Hurt AI Images
β οΈ The Attention Contamination Problem
Transformer-based diffusion models (FLUX.1, SD3, Midjourney v6) calculate cross-attention across all tokens. When you inject 50 negative words like "ugly, extra limbs, bad face", the text encoder wastes attention calculating representations for "ugly" and "limbs", ironically introducing distorted anatomies into the generation.
π― The Modern FLUX & Midjourney Standard
Modern models are trained to follow natural language. Instead of a 400-word negative spell, specify exact positive attributes: "Clean hands with five clearly articulated fingers, sharp studio lighting, commercial photography." Use negative prompts strictly for unwanted subject matter (e.g. --no text, watermark, glasses).