AI Motion Control is an online AI platform for motion transfer and video generation. Its core function is to synchronously transfer the motion and facial expressions from a reference video onto a character in a static image, thereby generating realistic animated videos. Users operate it as follows: upload a character image and a reference motion video to be imitated, and the AI extracts the motions and expressions from it to drive the image. The platform explains that when the character's orientation matches the video, complex motions perform better; when the character's orientation matches the image, camera movement is better supported.
In terms of main capabilities, the platform emphasizes precise control over generated videos. Dynamic reference motion can transfer the motion from any source video to the target character and lock the skeletal structure of the reference material to preserve the energy and intent of the original performance. Full-body synchronization ensures that every limb, joint, and center-of-gravity change is transferred, and the page claims 99% anatomical accuracy while preserving the original motion physics. Seamless consistency uses temporal attention layers to maintain character facial and clothing details during rapid motion, remaining consistent from the first frame to the last. Motion retargeting can apply live-action performances to stylized characters such as anime, 3D renders, and claymation, and use live-action performances to drive cartoon characters or map human gait onto mechanical creatures. Adaptive physics matching recalculates stride length and center of gravity according to the target character's proportions, making the motion natural and believable. On the facial side, it provides precise expression synchronization, supporting facial expressions, lip sync, and eye direction control, while preserving emotional micro-expressions. The platform also offers an integrated motion library, including categorized professional motion presets, and also allows uploading your own reference videos to generate custom motion LoRAs, and supports blending and smooth transitions between different motions.
In terms of temporal consistency and rendering, the platform claims to eliminate jitter and artifacts by analyzing optical flow between frames, supports continuous videos up to 60 seconds, 60fps or higher frame rates, and solves issues such as maintaining consistent style during motion, lighting consistency, and background stability. The platform runs in the cloud, requires no local GPU, can be used on a laptop or tablet, supports parallel generation of multiple tasks, and continuously updates the model.
Applicable scenarios include: social media and viral marketing content, film and television previsualization and character storyboarding, virtual influencers and digital brand ambassadors, AI dance and performance videos, game development assets, and e-commerce and fashion clothing displays.
In terms of usage, the platform requires logging in first to view assets; the core process is to upload a character image and a reference motion video, perform motion transfer, and browse the example gallery to preview results.
Regarding pricing, the page lists three plans, corresponding to 5,000, 10,000, and 20,000 credits per month, with annual payments of 60,000, 120,000, and 240,000 credits, corresponding to 100 seconds, 200 seconds, and 400 seconds of video motion transfer per month, and includes benefits such as high-quality generation and access to all major AI models. More detailed pricing, binding, and restriction conditions are not yet provided.
The page also lists frequently asked questions, covering the difference from standard video generation, how to fix jitter, long video support, target users, expression support, hardware requirements, compatibility with other AI tools, suitable reference videos, multi-character scenes, and data security, but the specific answer content is not yet provided.
