Unverified50% confidenceFactExact time
早期Stable Diffusion系列以CLIP为文本编码器，对超过77个Token的提示词处理能力受限
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
In-Depth Comparison of AI Image Generation Tools: How to Choose Between Flux, Midjourney, and Gemini?
redditr/learnmachinelearning7/11/2026
Related Claims
Unverified在Stable Diffusion中，CLIP文本编码器将自然语言切分为最多77个token，每个token映射为768维或1024维嵌入向量79% similarVerifiedStable Diffusion's text guidance converts prompts into vectors through the CLIP text encoder.79% similarUnverifiedCLIP文本编码器的标准上下文窗口长度约为77个Token，超出部分的语义信息会被截断或降权处理72% similarUnverified文本条件注入通过CLIP的交叉注意力层实现，ViT-L/14版本的CLIP将文本token映射为768维向量序列69% similarUnverifiedThe underlying architecture of mainstream text-to-image models such as Stable Diffusion, Midjourney, and DALL-E typically combines a diffusion model with a CLIP text encoder.65% similar
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