Ray is a video model designed for creating dynamic and visually compelling video outputs by leveraging customizable inputs. It supports fine-tuning of visual and temporal elements, enabling users to generate unique and high-quality videos tailored to various creative needs.

• Advanced Visual Rendering: Built on a robust framework that synthesizes high-resolution video sequences with intricate details.
• Input Flexibility: Supports a diverse range of inputs, including text prompts and multimedia references, for tailored outputs.
• Transition Control: Allows precise customization of start and end visuals using video IDs and image URLs.
• Aspect Ratio Adaptability: Ensures outputs are compatible with various display formats, from widescreen to square.
• Looping Capability: Designed for continuous playback without visible breaks, ideal for certain creative contexts.

• 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

• Prompt Design:
  • Keep prompts concise and descriptive. Use vivid language to guide the model effectively.
  • Avoid ambiguous terms that might lead to generic or unintended visuals.
• Aspect Ratio:
  • Use 1:1 for square videos, ideal for platforms like Instagram feed posts.
  • Use 9:16 for vertical videos, best for stories and mobile-first content.
  • Use 16:9 for widescreen videos, suitable for YouTube or cinematic presentations.
  • Use 4:3 for a more traditional look in professional or educational contexts.
  • Use 3:4, 9:21, or 21:9 for unique framing, ensuring the subject fits well within the chosen ratio.
• Transition Elements:
  • Use start_image_url and end_image_url for static introductory and concluding frames.
  • Combine start_video_id and end_video_id for dynamic transitions that enhance storytelling.
• Looping:
  • Enable the loop feature for outputs intended for repeated viewing, ensuring the start and end visuals naturally align.

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.

• Storytelling: Craft engaging narratives by combining prompts with start and end visuals.
• Social Media Content: Ray generates videos tailored for platforms with specific aspect ratio requirements.
• Educational Materials: Ray creates visually compelling content for presentations or tutorials.
• Branding: Develop unique visual assets that align with brand aesthetics and goals.
• Seamless Loops: Ray designs continuous loops for displays, exhibitions, or immersive experiences.

• 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