Unverified50% confidenceFactExact time
CFG is a parameter controlling the strength of alignment between the generated result and the prompt, usually taking values of 5-9; acceleration LoRAs require CFG=1 because the model has already internalized the guidance signal during distillation, and continuing to use a high CFG would break the step-compression mapping.
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10/24/2026
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Unverified负向提示词在Stable Diffusion等开源模型中通过Classifier-Free Guidance（CFG）机制实现，CFG Scale通常设置在7-12之间76% similarUnverifiedCFG guidance strength typically seeks the best balance between 5 and 12; too low deviates from the prompt, while too high produces oversaturation or artifacts.75% similarUnverifiedClassifier-free guidance (CFG) runs both a conditional branch and an unconditional branch simultaneously, amplifying the conditional signal by subtracting the unconditional direction from the conditional direction, trading a doubling of inference cost for quality improvement.73% similarUnverifiedUsing excessively high CFG values during low-step inference amplifies the correction magnitude at each step, leading to oversaturated colors, distorted contrast, and even artifacts; when using an accelerated LoRA, the CFG value often needs to be reduced from 7.5 to 2–4.73% similarUnverifiedCFG=1 means no interpolation amplification is applied at all, causing the generation process to degrade into pure unconditional diffusion, rendering the prompt ineffective as a guide.72% similar
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