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Latent Diffusion通过VAE将图像从512×512×3的像素空间压缩到64×64×4的潜空间表示，数据量缩减约48倍

7

Sources

80%

Confidence

Long-term

Relevance

6/2/2026

First Seen

Sources

Stable Diffusion本地部署教程：8GB内存免费运行AI绘画

bilibiliAI画梦师-由乃

Related Entities

Latent Diffusionconcept VAEconcept

Related Claims

UnverifiedLDM通过预训练的KL-VAE将512×512 RGB图像从786,432维压缩至64×64×4的潜在空间，维度压缩比约48倍79% similar VerifiedLTX通过VAE将视频压缩至低维潜变量空间（通常压缩8至16倍）后再运行扩散过程，以降低计算成本76% similar UnverifiedLDM将图像尺寸通常压缩8倍（如512×512压缩为64×64的潜在表示），计算量降低数十倍，使消费级显卡运行成为可能71% similar Unverified传统扩散模型在512×512×3像素空间中每步处理约78万个数值67% similar UnverifiedJPEG压缩中quality参数本质上控制的是量化步长，值越低丢弃的高频信息越多，文件越小但细节损失越大67% similar

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