Andrew Adams · Co-Founder & Operations at Wireflow · Luma Dream Machine API
Access Luma Dream Machine video generation through a unified API with multi-model routing, spend controls, and visual workflow design
Free to build · no credit card
While developing Wireflow's luma dream machine api pipeline, we processed 1000+ test generations across multiple AI models to find the configurations that produce the most reliable results. This workflow packages those findings.
Generate AI Video with the Luma Dream Machine API
Luma's Dream Machine models (Ray 2, Ray 3.14) produce high-quality AI video from text prompts and still images. Wireflow wraps these models in a managed API layer with authentication, async polling, cost tracking, and multi-model fallback so you can integrate video generation into any application without managing Luma credentials or GPU infrastructure directly.
Submit a prompt or image, receive a video URL. The API handles queuing, retries, and format normalization across all supported video models.
Capabilities
Text-to-Video Generation
Send a text prompt and receive a generated video clip using Luma Ray models with configurable resolution and duration.
Image-to-Video Animation
Upload a reference image and animate it with motion prompts for controlled camera movement and subject animation.
Multi-Model Routing
Switch between Luma Dream Machine, Kling 3 Pro, Veo 3.1, and Seedance by changing one parameter in the same API call.
Per-Key Spend Limits
Set budget caps per API key to prevent runaway costs. Real-time cost tracking shows per-generation pricing across models.
Async Polling with Webhooks
Submit generation requests and receive results via polling or webhook callbacks. Built-in retry logic handles transient failures.
Visual Pipeline Design
Build video generation workflows on a node canvas, then deploy them as API endpoints without writing orchestration code.
More Than Just Luma Dream Machine API
Unified Video Generation Endpoint
Access Luma Dream Machine, Kling, Veo, and Seedance through one Bearer token and consistent request format. See the full video generation API for all supported models.
Image-to-Video in One Call
Upload a still frame and add a motion prompt to animate it with camera movement and subject dynamics. Learn techniques for turning any image into a video with AI.
Animate Stills at Scale
Batch-process product photos, illustrations, or AI-generated images into video clips using async job queues. Explore the AI animate image feature for single-image workflows.
Compare Models Side by Side
Run the same prompt through Luma Ray 3, Kling 3 Pro, and Veo 3.1 to compare quality, speed, and cost before committing. Browse the top 10 free AI video generators for broader context.
Production-Ready Cost Controls
Set per-key spend caps, track cost per generation in real time, and receive alerts before budgets exhaust. The Google Veo API integration shares the same billing infrastructure.
Luma dream machine api Workflows
No Code Required
API & Batch Processing
FAQs
The Luma Dream Machine API lets you generate AI videos from text prompts or reference images using Luma's Ray models. Wireflow provides managed access with authentication, async polling, and cost controls.
More From Wireflow
Written by
Andrew Adams · Co-Founder & Operations at Wireflow
Runs client operations and content strategy at Wireflow. Works directly with creative teams and agencies to build production AI workflows.
Start Generating Video with the Luma Dream Machine API
Access Luma Dream Machine alongside Kling, Veo, and Seedance through one API. Set spend limits, design pipelines visually, and deploy video generation in minutes.