NEW AI Video Generator Ray 3 is HERE - Advanced Native HDR AI Reasoning model
Native HDR integration and reasoning models in AI video generation mark a shift toward higher fidelity and better prompt adherence for professional filmmakers.
What this lesson covers
Luma Labs has introduced Ray 3 inside Dream Machine, featuring native HDR video generation, improved physics, and advanced reasoning capabilities. The creator compares Ray 3 against Ray 2 across text-to-video and image-to-video prompts while testing visual annotations and reasoning models.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 00:00 ↗
Luma Labs announced Ray 3 inside Dream Machine, introducing native HDR and improved physics and prompt adherence.
- 01:11 ↗
Native HDR and HDR AXR file formats are available when generating video at 720p resolution for enhanced color grading flexibility.
- 05:34 ↗
Ray 3 reasoning model automatically runs internal drafts and self-evaluations to improve precision on complex multi-element prompts.
- 06:36 ↗
The reasoning model outputs a draft, evaluates its adherence to instructions, and automatically upscales the successful attempt to HDR.
Workflow outlined in the video
- Switch your generation settings from Ray 2 to Ray 3 inside Luma Dream Machine to access improved physics and motion.
- Select 720p resolution when generating or upscaling footage if you require native HDR or HDR AXR formats for color grading.
- Utilize the Ray 3 reasoning model when handling complex multi-subject prompts that require strict object accuracy.
- Review generated draft variations before final upscale to ensure the model successfully interpreted your instructions.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
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How to interpret the numbers
30,419 views captured 23 October 2026. ReelStack recommendation score: 12/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 45% performance: 0.36× views vs 4 other channel videos observed at a similar age. View-evidence factor 97% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- 20% momentum: 1 views/day vs 85 channel baseline (4 comparable uploads), with the same view-evidence factor
- 10% engagement: 4/100; likes + 4× comments, smoothed with a 500-view neutral prior