each::sense is in private beta.
Eachlabs | AI Workflows for app builders

SORA-2

Sora 2 Image to Video Pro transforms a single image into a realistic video with natural motion, lighting, and depth.

Avg Run Time: 250.000s

Model Slug: sora-2-image-to-video-pro

Playground

Input

Enter a URL or choose a file from your computer.

Output

Example Result

Preview and download your result.

Unsupported conditions - pricing not available for this input format

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

Sora 2 Image to Video Pro is an advanced AI model developed by OpenAI that transforms a single image into a realistic, dynamic video sequence with natural motion, lighting, and depth. It is part of the Sora 2 family, which represents a significant leap in generative video technology by integrating both visual and audio synthesis from text or image prompts. The Pro variant is specifically designed for high-fidelity, production-grade outputs, making it suitable for professional and creative applications where visual precision and realism are critical.

The model leverages state-of-the-art deep learning architectures to maintain physical consistency, temporal coherence, and spatial awareness across frames. Sora 2 Pro excels at simulating realistic object interactions, nuanced lighting changes, and smooth transitions, while also supporting synchronized audio generation. Its unique ability to compress multiple production steps—animation, sound design, and lip sync—into a single pipeline distinguishes it from earlier video generation models and enables rapid prototyping and iteration for creators and developers.

Technical Specifications

  • Architecture: Advanced deep learning video synthesis (specific architecture details not publicly disclosed)
  • Parameters: Not publicly specified; proprietary large-scale model
  • Resolution: Supports up to 1792x1024 (landscape) and 1024x1792 (portrait) for Pro; standard Sora 2 supports up to 1280x720 or 720x1280
  • Input/Output formats: Accepts single image (reference frame) and text prompt; outputs video files with synchronized audio; metadata via JSON, video/audio via binary stream
  • Performance metrics: High fidelity and stability in Pro; generation times typically range from 1 to 3 minutes for short clips; improved physical realism and temporal consistency over previous models

Key Considerations

  • Carefully craft prompts to describe desired motion, lighting, and scene details for best results
  • Use high-resolution input images to maximize output quality, especially for branding or cinematic applications
  • Avoid prompts involving real people, copyrighted content, or inappropriate material due to strict content policies
  • Shorter video durations yield more reliable and consistent results; longer clips may introduce artifacts or inconsistencies
  • Iterative refinement is often necessary—small prompt adjustments can lead to substantial improvements in output
  • Quality vs speed trade-off: Sora 2 Pro delivers higher quality but requires longer render times and more computational resources
  • Ensure input image matches the intended video aspect ratio and resolution to avoid stretching or cropping

Tips & Tricks

  • Start with simple, clear prompts focusing on core scene elements and gradually add complexity
  • Specify camera angles, lighting conditions, and desired motion in the prompt for greater control
  • For branding, provide vector or high-resolution logo images as input to maintain fidelity
  • Use short clips (6–10 seconds) for best polish and minimal artifacts
  • Avoid impossible physics or surreal actions, as these can cause glitches or unnatural motion
  • Iterate by tweaking prompt details—adjusting lighting, sound cues, and object interactions to refine output
  • For audio, specify ambient sounds or dialogue to synchronize with visual elements
  • Match input image resolution to output video settings for optimal sharpness

Capabilities

  • Generates realistic video sequences from a single image, with natural motion and lighting transitions
  • Supports synchronized audio generation, including dialogue and ambient sounds
  • Maintains physical consistency and spatial awareness across frames
  • Handles complex scenes with multiple objects and nuanced interactions
  • Offers high fidelity and stability in Pro mode, suitable for production environments
  • Versatile stylistic range: photorealistic, cinematic, animated, and stylized outputs
  • API access enables programmatic integration and automation for developers

What Can I Use It For?

  • Professional branding: animated logo stings and product intros for marketing videos
  • Creative storytelling: short animated clips for social media, blogs, and prototyping
  • Interior design previews: transforming room photos into dynamic furnishing time-lapses
  • Social media reels: generating engaging vertical clips with synchronized music and motion
  • Educational content: visualizing scientific concepts or historical scenes from reference images
  • Personal projects: animating artwork, illustrations, or photography for portfolios
  • Industry-specific applications: advertising, entertainment, design, and content creation workflows

Things to Be Aware Of

  • Experimental features: audio sync and lip sync are highly advanced but may require prompt tuning for best results
  • Known quirks: surreal or physically impossible prompts can result in glitches or unnatural motion
  • Performance: Pro mode requires more computational resources and longer generation times; standard mode is faster but less detailed
  • Resource requirements: high-resolution outputs and longer clips increase processing time and cost
  • Consistency: shorter clips and simple scenes yield more reliable results; complex scenes may need multiple iterations
  • Positive feedback: users praise the model’s realism, smooth motion, and ease of prompt-based control
  • Common concerns: watermarking on free outputs, strict content moderation, and occasional artifacts in complex or ambiguous scenes

Limitations

  • Does not support prompts involving real people, faces, or copyrighted/branded content without permission
  • May produce artifacts or inconsistencies in long-duration or highly complex scenes
  • Requires substantial computational resources for high-resolution, high-fidelity outputs

Pricing

Pricing Type: Dynamic

720p, 8s

Conditions

SequenceResolutionDurationPrice
1"720p""4"$1.2
2"720p""8"$2.4
3"720p""12"$3.6
4"1080p""4"$2
5"1080p""8"$4
6"1080p""12"$6