Stable Video Diffusion: Scaling Latent Video Diffusion Models To...

Posted on Dec 25

• Originally published at paperium.net

A new tool called Stable Video Diffusion lets you make short clips from simple text or a single photo, and the results look surprisingly smooth. The team trained it on large, carefully picked videos so it learns what real motion feels like, which helps it avoid strange glitches, and make scenes that flow. It works in steps — first learning from images, then from many videos, and finally polishing on the best footage — this mix makes the model strong. The system shines at text-to-video and can also expand a picture into moving scenes while handling camera moves okay. It builds a useful sense of motion that other apps can reuse, and can even imagine multiple angles of an object like a simple 3D guess, giving a kind of high-quality multi-view look. The code and model files were shared so creators can try it, tweak it, and build new tools. Try it if curious, the results may surprise you, and some little quirks are still there but improving fast.

Read article comprehensive review in Paperium.net: Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

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Source: Dev.to