Unverified50% confidenceFactExact time
LDM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
1
Sources
50%
Confidence
Long-term
Relevance
7/24/2026
First Seen
Sources
CivitAI抢先体验争议：开源精神与商业化边界在哪里？
redditr/StableDiffusion7/11/2026
Related Claims
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80% similarVerifiedLatent 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79% similarUnverifiedLDM first compresses images into a low-dimensional latent space via a variational autoencoder before performing diffusion and denoising, greatly reducing the amount of computation.71% similarVerifiedLTX compresses video into a low-dimensional latent space via a VAE (typically by a factor of 8 to 16) before running the diffusion process, in order to reduce computational cost.67% similarUnverifiedTraditional diffusion models process approximately 780,000 values per step in a 512×512×3 pixel space.66% similar
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