Luma AI

• Generate short videos from text prompts or still images

• Ray3 & Ray2 engines supporting HDR, color fidelity, coherent motion

• In-video editing and frame-level modification

• Upscaling and resolution enhancement (e.g. 1080p → 4K)

• Reframe, extend, and remix existing outputs

• Embed interactive 3D / scene outputs via WebGL

• API access for developers to build on Luma’s models

• Watermark control and licensing rights based on the plan

• Top-up credit system and subscription rollover support

• Enterprise support, including custom SLAs and privacy (no training on your data)

Luma AI (via lumalabs.ai) introduces a new frontier in generative video by enabling users to convert text or still images into dynamic, lifelike short video clips. At its core lies the Dream Machine engine, which uses advanced video models like Ray3 (and earlier Ray2) to produce realistic motion, color fidelity, and consistent scene logic. Through intuitive prompt interfaces, creators can ask for scenes, actions, or environments and get rapid visual results—no deep prompt engineering required.

Beyond generation, Luma AI supports compositional control: users can modify frames, reframe scenes, or extend existing videos with coherent interpolation. The system also supports remixing, where you feed in reference content or style cues to guide generation. Outputs can be upscaled (e.g., 1080p to 4K) and embedded as interactive WebGL scenes for web display.

Creators and businesses get flexibility via a tiered subscription model. The Free plan offers limited credits and watermark outputs. Paid tiers such as Lite, Plus, and Unlimited increase monthly credits, unlock no-watermark usage, commercial rights, and priority processing. For power users or organizations, Enterprise plans include privacy guarantees that your data will not be used to train models further.

Luma also offers a developer API, enabling integration of video generation and editing capabilities into apps, platforms, or workflows. Credits used in Dream Machine and API are separate, so developers must purchase API credits.

When it launched, Dream Machine was hailed as a major step in making generative video accessible to creators, bridging the gap between AI research and practical media tools. Today, Luma AI is positioning itself as a multimodal creativity engine, aiming to enable immersive storytelling beyond text and image, toward a future of integrated audio, video, and reasoning models.