Verified80% confidenceFactExact time
Stable Diffusion compresses the diffusion process from pixel space to latent space, implemented by a Variational Autoencoder (VAE).
4
Sources
80%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
AI-Generated Sci-Fi Scenery: A Visual Revolution and the Democratization of Imagination
redditr/midjourney7/9/2026
Related Claims
UnverifiedLTX 系列采用 Latent Diffusion 范式，在压缩后的潜空间中进行扩散过程而非直接在像素空间操作73% similarUnverifiedLatent-space diffusion models first use an encoder to compress images into a low-dimensional latent space for denoising iterations, then use a decoder to reconstruct them, reducing the computational cost of the diffusion process by several orders of magnitude.73% similarUnverifiedThe Latent Diffusion Model open-sourced by Stability AI moved the diffusion process into a low-dimensional latent space, reducing computational costs by an order of magnitude and giving rise to Stable Diffusion.72% similarVerifiedThe Latent Diffusion Model was proposed by Rombach et al. in 2022, combining the diffusion process with the latent space of a VAE, reducing the computational dimensions from 512×512×3 to 64×64×4.72% similarUnverifiedStable Diffusion通过预训练的VAE将512×512×3的图像编码为64×64×4的潜在张量，计算量降低约48倍69% similar
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