Unverified50% confidenceFactExact time
主流扩散模型在像素空间进行迭代去噪，文字的精确笔画结构对该过程极为敏感，细微噪声扰动会导致字形崩坏
1
Sources
50%
Confidence
Long-term
Relevance
7/8/2026
First Seen
Sources
Ideogram 4 Local Deployment Test: Cinematic Quality on 8GB VRAM
bilibili秋叶comfyui教学视频7/3/2026
Related Claims
UnverifiedThe iterative denoising process of diffusion models is sensitive to numerical errors; small errors at each step accumulate and affect the final image, and the more sampling steps there are, the greater the impact of quantization errors.73% similarUnverifiedIf the specified duration exceeds the actual amount of content provided, the model will fill the gap with meaningless noise.71% similarUnverified上下文中存在相互冲突或交替出现的格式约束，会显著提升模型的幻觉率和格式错误率70% similarUnverified主体漂移本质上是模型在时序一致性建模上的不足，源于扩散模型每帧去噪引入随机性叠加时序注意力对长程依赖捕获能力有限68% similar
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