Fluxmov

Motion Control AI is a web-based workflow that uses a character image and a reference video to guide pose, timing, and movement, creating more controllable AI videos like dance clips or avatar content.

Text-to-video invents motion from a text prompt, while Motion Control AI uses a visual reference video as a direct target for movement, offering greater control and reducing guesswork.

You need a clear character image (JPEG/PNG) and a 5-10 second motion reference video (MP4/MOV). A text prompt can add style or scene details.

It works best scene-by-scene for short, controlled clips. For longer videos, creators should generate short clips and connect them manually for consistency.

It significantly reduces character drift but cannot guarantee perfect identity in every frame, especially with complex motion, occlusion, or poor-quality inputs.

Strong use cases include dance videos, avatar performances, social media content, character animation tests, and marketing ads where specific movement is key.

FluxMov uses a subscription or pay-as-you-go credit system. Credits are consumed per generation, with costs varying by model, duration, and resolution.

Yes, new accounts receive 120 free credits upon login, which can be used to generate videos without requiring a credit card.

The reference works best with one clear subject, stable framing, 720p+ resolution, and limited occlusion. Fast cuts or overlapping bodies can reduce quality.

Yes, but users must only upload character images and reference videos for which they have the necessary rights, permissions, and licenses for commercial use.