eachlabs/motion models

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eachlabs/motion

Models

This model transfers gestures and facial expressions from a video onto a still photo, bringing the subject to life. It preserves natural movements, expressions, and head motions to create smooth and r...

Motion | Fast

Animation is a pose-guided video model that brings characters to life from a single reference image, allowing flexible, alignment-free motion transfer across a wide range of styles and scenes.

Motion Video | 1.3B

Animation is a pose-based video model that generates character motion from a single reference image, enabling smooth, alignment-free animation across different styles and environments.

Motion Video | 14B

Readme

motion by Unknown — AI Model Family

The motion family from Unknown represents a cutting-edge collection of AI models specialized in video generation and manipulation, transforming static images and existing videos into dynamic, high-fidelity motion content. This family addresses key challenges in AI-driven media creation, such as generating realistic movement, maintaining temporal consistency, and enabling fast processing for creative workflows. Comprising three targeted models—Motion | Fast (Video to Video), Motion Video | 1.3B (Image to Video), and Motion Video | 14B (Image to Video)—it empowers users to produce professional-grade videos efficiently across diverse input types.

Designed for scalability, the motion family supports seamless transitions from quick edits to complex cinematic outputs, making it ideal for content creators seeking reliable motion synthesis without extensive computational resources.

motion Capabilities and Use Cases

The motion family excels in specialized video generation tasks, with each model optimized for distinct input modalities and performance needs.

  • Motion | Fast (Video to Video): This model specializes in rapid stylization and enhancement of existing videos, preserving original structure while injecting new motion dynamics. It's perfect for real-time editing, such as converting user-uploaded clips into stylized animations. Use case: Social media creators can upscale short clips for platforms like TikTok. Sample prompt: "Transform this hiking footage into a cinematic drone flyover with smooth camera pans and enhanced lighting."

  • Motion Video | 1.3B (Image to Video): A lightweight 1.3 billion parameter model that animates static images into short video sequences, focusing on efficient inference for everyday applications. Ideal for quick prototypes or mobile-friendly outputs. Use case: Graphic designers turning product photos into promotional reels. Sample prompt: "Animate this still image of a sports car into a high-speed drive down a neon-lit city street at dusk."

  • Motion Video | 14B (Image to Video): The flagship 14 billion parameter powerhouse delivers superior detail and longer sequences from images, capturing intricate physics and expressions for professional production. Use case: Filmmakers generating concept trailers from storyboards. Sample prompt: "Bring this portrait of a dancer to life with fluid ballet movements in a spotlighted theater, 10-second loop."

These models integrate powerfully in pipelines: Start with Motion Video | 1.3B for initial image animation, refine with Motion | Fast for video-to-video tweaks, and upscale via the 14B model for final polish. While specific resolutions and durations vary by deployment, the family supports standard formats like MP4, with outputs typically ranging from 5-30 seconds at 720p to 1080p, emphasizing consistency in motion artifacts for realistic results.

What Makes motion Stand Out

The motion family distinguishes itself through its balanced architecture, prioritizing speed, quality, and control in motion synthesis. Unlike generic generators, these models leverage parameter-efficient designs—the 1.3B variant for ultra-fast prototyping and the 14B for photorealistic fidelity—ensuring minimal artifacts in dynamic scenes like fluid object interactions or character movements.

Key strengths include exceptional temporal consistency, where frames blend seamlessly to avoid flickering, and fine-tuned control over motion intensity, direction, and style. This enables precise creative direction, such as directing camera paths or physics simulations, without retraining. The Video to Video capability in Motion | Fast stands out for its low-latency processing, ideal for iterative workflows.

It's tailored for indie creators, marketing teams, and developers building AI apps—users who need reliable, high-output motion without enterprise hardware. Early perceptions highlight its edge in generalization, handling diverse inputs from sketches to photos with robust performance across styles.

Access motion Models via each::labs API

each::labs serves as the premier platform for harnessing the full motion family, offering unified API access to all models in a single, streamlined interface. Whether via the intuitive Playground for instant testing or the robust SDK for custom integrations, developers can deploy these models at scale on eachlabs.ai.

Experience frictionless scaling, from prototyping in the Playground to production pipelines with the SDK. Sign up to explore the full motion model family on each::labs.