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Ray 2

Its balance of power and accessibility makes it a standout model for creators seeking to innovate with AI-driven cinematic video production.
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Ray 2

Ray2 epitomizes the frontier of AI video generation, combining depth in visual realism, complexity in motion, and intuitive creative control.

Ray 2 API Overview

Ray 2 by Luma AI is a cutting-edge large-scale video generative model designed to create ultra-realistic, photorealistic video content that exhibits natural, coherent motion and accurate interpretation of text instructions. Leveraging a new multi-modal architecture with 10x the compute power of its predecessor Ray1, Ray2 delivers production-ready video generation suitable for professional creative workflows.

Technical Specifications

  • Architecture: Large-scale multi-modal fusion model optimized for video generation
  • Supported Inputs: Text-to-video currently available; image-to-video, video-to-video, and editing capabilities forthcoming
  • Resolution: Supports up to 1080p with smooth camera movements and cinematic visuals
  • Video Duration: Generates videos typically up to 10 seconds in length with potential for longer sequences
  • Motion Quality: Fast, coherent motion with physical accuracy and realistic lighting interactions
  • Output Quality: Ultra-realistic details, lifelike textures, smooth camera work, and logical event sequencing
  • Modality Support: Combines language understanding with video and image generation in a unified model

Performance Benchmarks

  • Produces videos with significantly higher success rates of usable outputs compared to Ray1
  • Reduced generation times enabling near real-time video production workflows
  • Demonstrates superior text prompt comprehension for fine scene and action details
  • Enhanced motion quality with fewer artifacts than prior generation models
  • Highly rated for cinematic effects such as depth, lighting, and natural event sequencing.

Key Features

  • Text-to-Video Generation: Converts detailed text prompts into dynamic, coherent video sequences
  • Production Ready: Eliminates common artifacts and slow-motion playback issues for professional use
  • Advanced Motion Fidelity: Captures smooth, natural movements including cinematic camera pans and tracking shots
  • High Visual Fidelity: Realistic lighting, shadows, and object interactions with intricate detail
  • Narrative Control: Supports start and end image keyframes for story-driven video creation
  • Style Transfers: Enables blending and control of visual styles consistent across frames
  • Moderation System: Multi-layered content moderation combining AI filters with human oversight for safe usage.

Ray 2 API Pricing

  • $0.00672 / 1 million pixels

Examples of generation (16:9, no audio):

  • 720p · 9 s — $0.462
  • 4K · 5 s — $0.5145

Use Cases

  • Content Creation: Marketing videos, promo clips, storytelling, brand engagement
  • Film & Animation: Concept art animation, pre-visualization, scene prototyping
  • Interactive Media: Generating dynamic backgrounds, UI animations, and immersive experiences
  • Education & Training: Visual storytelling for learning modules and tutorials
  • Creative Arts: Experimental video art and narrative exploration
  • Product Visualization: Simulated product demos and virtual displays without physical shoots.

Code Sample

Comparison with Other Models

vs Ray 1: Ray 2 offers 10x higher compute power, enabling production-quality videos with more coherent motion and enhanced realism, while Ray 1 mainly served as a proof-of-concept with lower fidelity.

vs Stable Diffusion: Ray 2 provides superior natural motion and cinematic camera control, unlike basic video diffusion which may lack temporal coherence and smooth tracking shots.

vs Midjourney Video: Unlike Midjourney which focuses on image generation with limited video support, Ray2 is specialized for video from text inputs with detailed narrative and motion handling.

vs Flux 1.1: Ray2 exceeds Flux 1.1 in resolution support, motion smoothness, and production readiness, making it more suitable for professional content creation.

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