RAY

ray — Text to Video AI Model

ray, Luma's flagship Ray 3.14 text-to-video AI model, delivers native 1080p videos at 4x faster speeds, solving the longstanding quality-speed-cost tradeoff for professional creators seeking production-ready outputs without upscaling.

Part of Luma's ray family and integrated with the Dream Machine platform, ray excels in text-to-video, image-to-video, and video modification workflows, generating coherent scenes with superior object consistency and smooth motion.

Ideal for text-to-video AI model users demanding broadcast-quality results, ray supports high-speed 1080p AI video generation directly, making it a go-to for Luma text-to-video applications in advertising and streaming.

What Sets ray Apart

ray stands out with native 1920x1080 Full HD output, eliminating the need for post-processing or upscaling common in other text-to-video models, enabling seamless integration into broadcast, streaming, and ad production pipelines.

This capability allows creators to produce professional-grade videos ready for immediate use, saving hours in post-production workflows.

Featuring 4x faster generation—typically under 2 minutes per video—ray supports iteration-intensive tasks, outperforming prior versions and competitors in time-to-first-frame efficiency.

Users benefit from rapid experimentation, turning concepts into polished clips for high-volume production like short-form storytelling or animation previews.

Enhanced reasoning delivers 3x better holistic scene understanding, ensuring frame-to-frame consistency in motion, lighting, characters, and camera behavior—critical for complex narratives.

• Native 1080p resolution at 1920x1080 for broadcast-ready quality without artifacts.
• 4x speed boost for videos up to 18 seconds, ideal for Luma text-to-video pros.
• Superior consistency via advanced AI reasoning, reducing flickering in image-to-video animations.

• Input Quality: High-quality image URLs and coherent prompts significantly enhance the output.
• Aspect Ratio Selection: Mismatched aspect ratios might lead to unintended visual results. Always verify compatibility with the target medium.
• Looping: While enabling loop, ensure the content supports seamless repetition to avoid perceptible breaks.
• Start and End Points: Ensure the start_video_id and end_video_id or corresponding image URLs align with the intended narrative or visual flow.

Legal Information for Ray

By using this Ray, you agree to:

• Luma  Privacy
• Luma Terms of Use

How to Use ray on Eachlabs

Access ray through Eachlabs' Playground for instant testing with text prompts, optional reference images, or videos; select parameters like duration up to 18 seconds and aspect ratios for 1080p output. Integrate via API or SDK for production apps, delivering smooth, consistent videos in MP4 format under 2 minutes—optimized for Luma text-to-video scale.

Visual Output Customization for Ray

• Dynamic Video Creation: Generate tailored video sequences using prompts and reference inputs.
• Transition Design: Seamlessly integrate start and end visuals for cohesive storytelling.
• Aspect Ratio Flexibility: Produce videos optimized for various formats, from widescreen to vertical.
• Looping: Create videos suitable for continuous playback without noticeable disruptions.

Enhancements and Features for Ray

• Smooth transitions between visuals and videos.
• High-definition rendering with attention to detail.
• Adaptability for different creative and professional contexts.

Use Cases for ray

Filmmakers and animators use ray for cinematic pre-visualization, inputting a reference image of a character with the prompt "A detective walking through rainy neon-lit streets at night, steady tracking shot, dramatic lighting shifts," to generate 1080p clips with consistent motion and no drifting—perfect for storyboarding complex scenes.

Marketers building high-speed 1080p AI video generation campaigns feed product images into ray's image-to-video mode for quick ads, like animating a smartphone on a futuristic desk with fluid camera pans, streamlining e-commerce visuals without studio shoots.

Developers integrating ray API for apps leverage its video modification to restyle existing footage, applying new effects to client videos in under 2 minutes, enabling scalable tools for digital media teams handling advertising workflows.

Designers in post-production workflows apply ray for animation previews, using text prompts to create coherent character sequences with stable lighting, accelerating Adobe Creative Cloud integrations for visual effects testing.

• Experiment with different aspect_ratio values to see how the framing impacts the subject's focus and overall composition.
• Combine prompt with start_image_url and end_image_url for a visually rich narrative.
• Use the loop option to test how well the video transitions into seamless playback.
• Select contrasting start_video_id and end_video_id for dynamic and engaging transitions.

• Input Dependency: Outputs are heavily influenced by the quality and relevance of provided inputs.
• Loop Seamlessness: Achieving a perfect loop might require fine-tuning of start and end elements.
• Aspect Ratio Constraints: Outputs might not fully adapt to extreme or unconventional aspect ratios.
• Prompt Interpretation: The model might interpret vague prompts in unexpected ways, leading to less precise results.

Output Format: MP4