Negative Prompts Study

Key Insight

A negative prompt is a second prompt naming what you don't want ("ugly, blurry, low quality"), and it costs nothing extra because it simply replaces the blank unconditional input that classifier-free guidance (CFG) already runs — the model is pushed away from the negative prompt's prediction and toward your real one. This project measures whether that actually helps by generating 50 prompts with and without negatives and scoring both sets: FID for realism, a CLIP score for prompt adherence, and an aesthetic score for human-judged appeal. The result builds honest intuition for when negatives genuinely improve images versus when they merely shift the style.