Upload reference videos and images, describe the new shot you want, and SeeVid generates a fresh clip guided by your materials. Multi-model reference-to-video for restyling, remixing, and directed generation.

AI video to video — also called reference-to-video on SeeVid — uses your uploaded clips and images as creative anchors. Instead of generating only from text, the model follows motion, identity, and composition cues from your references while applying your prompt. It is ideal when you already have footage or stills and want a new shot that stays visually connected to them.
Upload reference videos so the model can follow timing, motion, or scene structure instead of inventing everything from a blank slate.
Add character, product, or style stills with @ mentions so faces, branding, and looks stay consistent across the generated clip.
Describe what should change — wardrobe, environment, camera, mood — while keeping what matters from the reference materials.
Pick Seedance, Grok Imagine Video, HappyHorse, and other reference-to-video models in one place with a shared credit balance.
When text-to-video alone is too random, reference-to-video gives you control without a full editing suite.

Reference-to-video on SeeVid covers restyling, remixing, and directed generation from mixed media inputs.
Provide MP4/MOV clips within model limits and mention them in the prompt (for example @video1) to guide motion and pacing.
Many models also accept reference images and audio so you can lock identity and mood in one generation.
Each model shows duration, resolution, and upload caps in the generator — choose the fit for quality and credits.
Generated clips are yours to use in ads, social, and client work, subject to third-party IP rules in your prompts and uploads.
Pair with text-to-video, image-to-video, video editor, and upscaler tools in the same account.
Credit cost scales with model, duration, and settings — shown before you generate.
Common questions about reference-to-video on SeeVid. Need help? support@seeddance.ai
Upload footage, describe the shot, and generate with SeeVid reference-to-video models.