Text-to-Video and Image-to-Video Workflows

AI video generation works best when the input mode matches the job. Muse Video separates the workspace into two paths:

• Text-to-video for idea-first clips, campaign concepts, creator hooks, and cinematic drafts.
• Image-to-video for product shots, portraits, branded assets, and any scene where visual consistency matters more than pure invention.

Text-to-video

Start with a short production brief. The useful details are concrete: subject, action, location, camera movement, lighting, duration, and aspect ratio. A prompt like "a sneaker rotates on a wet studio floor" gives the model less direction than "close-up product video of a white running shoe rotating on a glossy black floor, slow push-in camera, softbox reflections, 6 seconds, vertical."

Image-to-video

Upload a reference image when identity matters. This mode is better for:

• product reveal clips from a packshot
• animated avatars or founder portraits
• fashion, furniture, and interior design motion previews
• brand visuals that need to keep color and shape intact

The prompt should describe motion and camera behavior instead of restating everything already visible in the image.

Queueing

Video models are slower than image models, so Muse Video keeps the user in a generation queue after submission. The interface shows the selected mode, input assets, and pending state clearly while the generation task runs.