Luma Agents: Introduction
Meet your new creative partner: an advanced multimodal AI built to help you produce professional grade projects from initial concept through final export across every phase of production.
What you can achieve with Luma:
Multimodal creation: Generate copy, stills, motion, audio, and voiceover powered by top AI models, all while preserving project wide context and memory.
Seamless asset evolution: Transform and adapt existing assets into new formats without starting over from scratch.
Centralized workspaces: Manage projects on interactive, shareable boards where agents develop, refine, and organize assets in one place.
Parallel collaboration: Work side by side in real time with colleagues, clients, and AI agents operating simultaneously.
Flexible workflow control: Lead creative direction using conversational prompts or fine tuned manual adjustments while agents manage underlying models and execution.
Instead of toggling between separate apps, editors, and generators, Luma brings everything together on a unified visual canvas. Backed by intelligent agent collaborators, the platform adapts to your skill level to execute tasks aligned with your unique creative vision.
Think of Luma as an expert teammate that enables rapid iteration, scales production, and brings speed and enjoyment back to the creative process.
How Luma Works
Luma drives creative projects forward by pairing you with agents that manage execution from pitch to delivery. By maintaining persistent context across every stage, work develops fluidly on visual boards where assets are continuously generated, refined, and organized.
The Three Core Layers
1. Project Organization
Visual canvases: Spatial boards allow teams to organize scene structures, concepts, mood boards, and final deliverables in one unified hub.
Contextual versioning: Easily group, review, and compare revisions without losing track of project history.
Live teamwork: Collaborate with team members and AI agents updating assets in real time.
Smart search: Instantly find past iterations, references, and assets using semantic search.
Spatial workflow: Projects expand naturally across canvas boards rather than getting buried in rigid file structures or isolated timelines.
2. Creative Agents
Luma Creative Agents carry out production tasks across the entire lifecycle, keeping full project memory intact on every board.
Your Role:
Lead project direction using simple natural language prompts.
Request alternative takes, visual tweaks, and new creative directions.
Gather inspiration, references, and project research on the canvas.
Review outputs and guide overall quality and artistic direction.
The Agent's Role:
Intelligently assign tasks to top image, video, and audio models (automatically or via manual selection).
Produce text, image, motion, and sound assets.
Iterate on work while holding onto key project context and board history.
Assess generated outputs and drive projects toward completion.
3. Capabilities
Creative Agents connect to and direct leading generative AI models to deliver work across every medium, all while keeping your project context intact. Tasks are routed to advanced video systems (like Ray, Veo, and Kling) and specialized image models (such as Uni 1, Nano Banana, Seedream, and GPT Image).
Image Generation & Editing
Photorealistic rendering
Stylized artwork and illustrations
Conceptual design and visual brainstorming
High detail editing and asset enhancement
Outpainting, canvas expansion, and reframing
Video Production
Text to video generation
Image to video animation
Video to video styling and modifications
Keyframe interpolation
Scene extension and clip lengthening
Character consistency across shots
Audio & Voice
Custom sound effect design
Music track generation
Nuanced voiceovers with emotion controls
Precision word level transcription
Lip Sync & Character Animation
Audio to mouth synchronization
Facial expression and emotion controls
Character animation tools
Composition & Editing
Automated editing of video and graphic elements
Captions, visual transitions, and multi layer compositing
Agents automatically send tasks to the best model for the job without losing context. For precision work, advanced users can directly select and adjust individual models right from the board workspace.