Verified65% confidenceFactExact time
The latent diffusion architecture uses a Variational Autoencoder (VAE) to compress images into a low-dimensional latent space, performing noise addition and denoising in the compressed space, which is the origin of the name Stable Diffusion.
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65%
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Long-term
Relevance
9/1/2026
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UnverifiedIn image-to-video generation, the conditioning image is typically encoded into a latent-space representation via a VAE and then concatenated with the noise sequence or injected into the generation process through cross-attention.74% similarUnverified在Midjourney所使用的扩散模型架构中，图像先在压缩的低维潜空间中完成逐步去噪，再通过解码器还原为完整图像72% similarUnverifiedStable Diffusion系列使用的图像VAE将512×512图像压缩为64×64的潜表示70% similarUnverified潜在扩散模型将图像生成从像素空间转移到压缩后的潜在空间进行，包含编码器压缩图像、U-Net在潜在空间执行迭代去噪、解码器还原为像素图像三个关键组件69% similarUnverifiedStable Diffusion is based on the Latent Diffusion architecture, which moves computation from pixel space to a compressed latent space, enabling consumer-grade GPUs to run high-quality image generation.67% similar
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