<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Diffusion Models on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/diffusion-models/</link><description>Recent content in Diffusion Models on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/diffusion-models/index.xml" rel="self" type="application/rss+xml"/><item><title>Diffusers: Stable Video Diffusion Pipeline</title><link>https://terms-en.ai-term-hub.com/en/terms/diffusersstablevideodiffusionpipeline/</link><pubDate>Sat, 18 Jul 2026 09:55:54 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/diffusersstablevideodiffusionpipeline/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>This term refers to a specific implementation within the Hugging Face Diffusers library designed for video generation. It integrates the Stable Video Diffusion (SVD) model, which is a latent video diffusion model capable of converting a single input image into a short video clip. The pipeline handles the complex preprocessing of the input image, the iterative denoising process in the latent space, and the post-processing steps required to decode the latent representations back into pixel-space video frames. It allows developers to easily leverage state-of-the-art image-to-video capabilities without managing the underlying model weights or inference logic manually.&lt;/p></description></item></channel></rss>