Unverified50% confidenceFactExact time
扩散模型在去噪过程中会将负面提示词对应的语义向量作为反向引导信号，这种机制被称为Classifier-Free Guidance的负向条件
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50%
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Long-term
Relevance
8/23/2026
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UnverifiedThe formula for Classifier-Free Guidance is: predicted noise = unconditional prediction + guidance strength × (conditional prediction − unconditional prediction), and the higher the guidance strength, the more the output deviates from the natural distribution.79% similarUnverified文本引导的去噪过程本质上是Classifier-Free Guidance（CFG）机制在起作用，模型同时预测有条件和无条件的噪声估计，两者差值被放大后引导生成方向79% similarVerifiedDiffusion models circumvent the instability of adversarial training through a Markov chain mechanism that progressively adds Gaussian noise and then trains the model to learn the reverse denoising process.74% similarUnverified过拟合的统计原理是当模型参数量相对训练数据过多时，模型会记住噪声而非学到规律70% similarUnverifiedIn open-source models such as Stable Diffusion, the negative prompt is a separate input field used to tell the model to actively avoid certain visual features.70% similar
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