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Glossary · Generation Modes

What Is Image-to-Video in ComfyUI?

By Earngenix Team ·

⚡ Quick Answer

Image-to-video (img2vid) takes a single still image and generates motion around it, producing a short clip that animates that photo. The starting image anchors what the subject looks like — your prompt then guides how it moves.

This is a popular way to bring a product photo, a portrait, or an illustration to life without needing to describe the entire subject in words, the way text-to-video requires.

Where You'll See It

A Load Image node feeds into an image-conditioning input on a video model's loader or sampler, often labeled something like start_image. This is the key difference from text-to-video, which has no image input anywhere in the graph.

Quick Example

Upload a single photo of a person and run it through an image-to-video workflow with the prompt "turns head and smiles." The output is a few seconds of that exact person performing that motion, generated entirely from the one still image.

Some workflows go further and let you set both a start image and an end image, defining the first and last frame of the clip rather than just an anchor point.

Frequently Asked Questions

Often, yes. Many video model families ship separate text-to-video and image-to-video checkpoints, trained slightly differently to accept a starting frame as conditioning. Check the model card before assuming one checkpoint does both.

Many image-to-video workflows expose a motion strength or similar setting that scales how much the frames drift from your starting image — higher values produce more dramatic motion, lower values keep it closer to a subtle animation.

Match the resolution the video model expects, stated on its model card. An image that’s the wrong aspect ratio or far too large gets resized or cropped automatically, which can cut off parts of your subject.

See It In Action

Ready to animate a photo?

Our LTX-2 guide covers the full image-to-video setup, start to finish.

Published: 2026-09-17 · Last updated: 2026-09-17

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