Unverified50% confidenceFactExact time
Midjourney、DALL·E 等扩散模型即便输入相同提示词，每次产出的像素也不尽相同
1
Sources
50%
Confidence
Long-term
Relevance
9/29/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedMidjourney、DALL-E和Stable Diffusion打破了模型无法生成高质量图像的说法75% similarUnverifiedMidjourney的--raw参数会削弱模型默认的美化倾向，减少过度艺术化处理，让输出更贴近Prompt的字面描述69% similarUnverified少样本提示词本身长得多，单纯的长度差异就足以移动模型的表征，过去测到的漂移混杂了与示例内容无关的长度噪声69% similarUnverified混元模型倾向于过度简化和平滑，存在明显锯齿，说明分辨率仍不足67% similarUnverified提示词越模糊，模型输出越向高概率区域坍缩，一致性越强67% similar
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