FluxMov

FluxMov is a web-based motion-control AI video workflow that turns a still character (image/avatar/subject) into a controllable AI video by using a reference video for movement. Instead of relying on text prompts to guess poses and timing, you guide generation with a visible motion target—so the output focuses on the movement you want.

The core workflow separates “who appears” from “how they move.” You upload a character image, add a motion reference clip (or record one in your browser), then generate short videos where pose, timing, gestures, and camera movement follow the reference. FluxMov is designed to help reduce blind retries and improve character consistency during more complex actions.

Key features include motion-guided generation, tools built around motion references (motion transfer, character replacement, and related motion workflows), and selectable quality settings. It also provides guidance on what inputs work best, such as using a clear primary subject, 720p or higher reference video, and short clips with stable framing.

Pricing is credit- and subscription-based. The Starter plan costs $9.90/month ($7.90/month on monthly/discounted pricing shown) and includes 1,000 credits/month; Growth and Pro plans are also available with higher monthly credit amounts, priority queue access, and additional capabilities like audio generation and batch processing. Credit usage varies by model, duration, resolution, audio, generation mode, and retry strategy.

What does FluxMov do with a character image and a reference video?

You upload a character image and a motion reference clip, then generate new AI video clips where the character performs the reference movement. You can also describe style and scene details with a short prompt while the reference drives the motion.

How do I provide the motion reference for best results?

Use a short MP4 or MOV clip, ideally 5–10 seconds, with one primary subject and stable framing. 720p or higher resolution and limited occlusion help keep pose, timing, and rhythm more consistent.

What makes motion control different from text-to-video?

Text-to-video asks the model to invent movement from words, which can miss exact action timing. Motion control uses the reference clip as a visible movement target, making the action easier to direct.

What inputs are most important for character stability?

Start with a clear character image where the face and body/identity details are visible, then pair it with a reference video that has a readable, single-subject performance. Complex occlusion, heavy cropping, and overlapping subjects can reduce stability.

How are retries and credit costs handled?

Motion control aims to reduce failed blind retries by giving the model clearer movement guidance before you spend credits. Credit usage still varies by model, duration, resolution, audio, generation mode, and retry strategy, and the credit cost is shown before generation.

What subscription plans and pricing are available?

FluxMov offers Starter, Growth, and Pro subscriptions. Starter includes 1,000 credits/month, Growth includes 5,000 credits/month with priority queue access and audio generation, and Pro includes 11,000 credits/month with highest queue priority, audio generation, and batch processing (as listed on the pricing page).