Luma

What is Luma?

Luma is a platform for “creative agents” that help teams plan, generate, iterate, and refine creative work across multiple media types. The agents are designed to work within a continuous workflow, aiming to preserve shared context from concept through final delivery.

The core purpose is to reduce fragmentation in production by carrying context through stages of creative work—so output can move forward across planning, generation, and refinement without restarting or re-aligning work between tools and steps.

Key Features

• Shared context across agents and stages: Context is carried through the workflow so creative work advances from concept to delivery more continuously.
• Multimodal creative workflow (video, image, audio, text): Luma unifies specialized multimodal models into one workflow that spans different asset types.
• End-to-end planning, generation, iteration, and refinement: Agents can move work through multiple phases, including producing and refining deliverables.
• Parallel collaboration under shared intelligence: Multiple directions and contributors can operate in parallel while maintaining shared information.
• Scaled production focus: The platform is positioned to increase what a team can produce by expanding the execution capacity beyond a single linear workflow.

How to Use Luma

1. Start a project in the Luma app and select an intended creative task (for example, generating campaign visuals or localized video assets).
2. Provide the needed inputs for the work you want to produce (e.g., creative direction, assets, or source media such as a video or audio clip).
3. Let Luma Agents plan and generate outputs across the relevant formats, then iterate and refine within the same project context.
4. Export/use the resulting assets as ready-to-run deliverables (for example, social video formats, slide decks, or mockups).

Use Cases

• Multi-asset brand and campaign creation: Direct a full campaign with cohesive visuals and variations intended for deployment across multiple placements.
• E-commerce and marketplace product visuals: Generate polished lifestyle and hero shots, including visuals from multiple angles.
• Short-form social video ads: Create short video ad variations tailored to channel requirements such as hooks, captions, and platform-specific formats.
• Presentation and storyboard production: Turn ideas into presentation-ready slide decks using flexible templates, and develop storyboards including characters, story arcs, and episode boards.
• Localization and repurposing across media: Localize a video into multiple languages using natural voiceovers with synced visuals, or transform a podcast clip into an attributed video format with captions and B-roll.

FAQ

• What kinds of media can Luma work with? The page describes support for creative work across video, image, audio, and text.

• Does Luma keep context across the workflow? Yes. The site specifically highlights “shared context” carried across agents so work can progress from concept to delivery.

• Is Luma only for solo users or teams? The page describes “Luma for teams” and collaboration features where internal teams, external partners, and agents can operate in parallel.

• What output formats are mentioned on the page? Examples include multi-asset campaigns, product visuals (including on-model photography and different angles), short-form video ads for channels, presentation slide decks, storyboards, mockups (packaging/labels), localized videos, and infographic-style visualizations.

• How do pricing and plans work? The provided page includes a Plans & Pricing section with a free trial credit and named tiers (Individual, Pro, Ultra, and Team “coming soon”). Exact plan details beyond what’s shown on the page are not expanded in the excerpt.

Alternatives

• Standalone design and brand asset tools: These tools may focus on creating specific assets (e.g., images or mockups) but typically don’t coordinate a shared-context, agent-driven workflow end-to-end.
• Video editing and localization workflows: Traditional editing/localization tools can handle video outputs, but the platform-specific “agents plan/generate/iterate with shared context” approach may be different.
• General-purpose generative AI platforms with separate apps per modality: These can produce images, text, and video, but may require more manual coordination between stages if they don’t keep a continuous project context across outputs.
• Content automation for marketing teams: Marketing automation tools can accelerate production scheduling and distribution, but they may not provide multimodal agent workflows for generating and refining creative assets within one continuous process.