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Utilities for scaling videos, enabling resolution adjustment while maintaining visual quality and aspect ratio.

Avg Run Time: 0.000s

Model Slug: scale-video

Playground

Input

Enter a URL or choose a file from your computer.

Output

Example Result

Preview and download your result.

Execution-time pricing: $0.00108/sec based on run_time

API & SDK

Create a Prediction

Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.

Get Prediction Result

Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.

Readme

Table of Contents
Overview
Technical Specifications
Key Considerations
Tips & Tricks
Capabilities
What Can I Use It For?
Things to Be Aware Of
Limitations

Overview

Scale Video from each::labs is a specialized utility model designed for scaling videos, enabling seamless resolution adjustments while preserving visual quality, aspect ratio, and motion fidelity. Part of the eachlabs family, it addresses the common challenge of upscaling low-resolution footage for professional use without introducing artifacts or distortions. What sets Scale Video apart is its intelligent preservation of original aspect ratios like 16:9, 9:16, and 1:1, making it ideal for adapting content across platforms from social media to cinematic outputs.

Available through the eachlabs platform at eachlabs.ai, this model supports workflows in voice-to-video and related categories, ensuring outputs remain crisp up to 1080p or higher. Creators and developers rely on Scale Video to enhance existing clips efficiently, maintaining temporal coherence and detail in multi-shot sequences.

Technical Specifications

  • Resolution Support: Up to 1080p native output, with potential for 4K in advanced modes; handles inputs from standard definitions without quality loss.
  • Max Duration: 3-30 seconds, compatible with short clips and extended sequences in pro configurations.
  • Aspect Ratios: 16:9 (landscape), 9:16 (vertical), 1:1 (square), preserving original proportions automatically.
  • Input/Output Formats: Accepts MP4, JPEG/PNG references; outputs MP4 or EXR files optimized for further editing.
  • Processing Time: Average 260-450 seconds per generation, with draft modes for faster previews.
  • Architecture: Diffusion-based transformer with spacetime attention for motion preservation during scaling.

These specs make Scale Video efficient for high-volume scaling tasks on the eachlabs platform.

Key Considerations

Before using Scale Video, ensure input videos are under 30 seconds and in supported formats like MP4 to avoid processing errors. It excels in scenarios requiring aspect ratio maintenance, such as repurposing social media clips for widescreen displays, outperforming basic resizers by retaining physics-accurate motion and detail.

Prioritize it over alternatives for eachlabs voice-to-video workflows where quality preservation is critical, balancing cost with speed—standard mode suits iteration, while pro offers refined outputs. Resource needs are moderate, with API access ideal for developers integrating via eachlabs.ai.

Tips & Tricks

Optimize Scale Video by uploading clean input videos and specifying target resolutions in prompts, e.g., "Scale this clip to 1080p while maintaining 9:16 aspect ratio for vertical platforms." Use multi-prompt segmentation for complex scalings: number shots clearly like "1. Wide establishing shot; 2. Close-up detail" to ensure coherent upscaling across sequences.

Leverage draft mode for quick previews, then refine with full renders. For best results, pair with reference images to lock consistency during resolution boosts. Example: "Enhance resolution to 1080p, preserve motion from original 720p input, add subtle depth for 3D effect." Parameter tweaks like audio toggle sync sound perfectly post-scaling. Workflow tip: Iterate in playground, deploy via Scale Video API for production.

Capabilities

  • Intelligent resolution upscaling to 1080p/4K while preserving original visual quality and motion dynamics.
  • Automatic aspect ratio maintenance across 16:9, 9:16, and 1:1 formats without cropping or distortion.
  • Motion preservation using physics-aware attention, preventing artifacts in scaled dynamic scenes.
  • Multi-shot support for up to six sequential segments, scaling complex video structures coherently.
  • Input flexibility: videos, images, text prompts, and motion maps for guided enhancements.
  • Native audio handling with lip-sync options during scaling processes.
  • High temporal coherence, reducing drift in extended or multi-angle scalings.
  • API-ready integration for batch processing via eachlabs voice-to-video ecosystem.

What Can I Use It For?

For Content Creators: Scale short social clips from 720p to 1080p 9:16 format: "Upscale this TikTok draft to vertical HD, enhance lighting while keeping fast pans intact." Ideal for quick platform adaptations.

For Marketers: Enhance product demo videos for ads, using motion preservation: "Scale 15-second explainer to 16:9 1080p, boost details on product surfaces without blurring rotations." Delivers polished assets fast.

For Developers: Integrate Scale Video API in apps for user-uploaded content: "Batch scale e-commerce videos to 4K, maintain aspect ratios for web previews." Supports high-volume personalization.

For Designers: Refine motion graphics with multi-shot scaling: "Segment 1: Scale intro logo zoom; Segment 2: Transition to full animation at 1:1 square." Ensures cinematic quality across outputs.

Things to Be Aware Of

Edge cases like heavily compressed inputs may amplify noise during scaling—pre-process with cleanup tools. Complex physics in fast-motion scenes can challenge coherence beyond 15 seconds. Users often overlook multi-prompt numbering, leading to jumbled sequences; always label segments 1-6 clearly.

High-duration clips (20-30s) demand more compute, increasing wait times. Common mistake: ignoring aspect ratio presets, causing unintended crops. Resource-wise, API calls peak during batch jobs; monitor quotas on eachlabs.ai.

Limitations

Scale Video caps at 30 seconds max duration, unsuitable for long-form content. Very low-res inputs (below 480p) risk quality degradation despite preservation efforts. No native support for frame rates over 60fps or exotic formats beyond MP4/EXR.

Multi-subject scenes with intricate interactions may show minor inconsistencies post-scaling. Pro mode needed for peak 4K fidelity; standard suffices for most but limits extreme detail boosts.

Pricing

Pricing Type: Dynamic

Execution-time pricing: $0.00108/sec based on run_time

Current Pricing

Execution-time pricing: $0.00108/sec based on run_time
FREQUENTLY ASKED QUESTIONS

Dev questions, real answers.

scale-video is an AI voice-to-video model developed by each::labs that animates video by driving it with audio input. It synchronizes lip movement and facial expressions to match a provided voice track, enabling realistic talking-head video creation from static or recorded footage.

scale-video is accessible via the eachlabs unified API with a single API key. Send a POST request with your source video and audio files; the model returns a synchronized output video. No separate account is required billing is pay-as-you-go through eachlabs.

scale-video is best suited for talking-head videos for marketing, e-learning, and virtual spokesperson applications. It works well with pre-recorded video clips where you want to dub or replace audio while maintaining natural facial synchronization.