# Luma | Ray 3.2 | Text to Video Luma Ray 3.2 Text-to-Video creates cinematic videos from text prompts, with control over resolution, duration, and seamless looping for short-form creative content. ## API Information - **Model Slug:** luma-ray-v3-2-text-to-video - **Branded URL:** https://www.eachlabs.ai/luma/luma-ray/luma-ray-v3-2-text-to-video - **Provider:** Luma - **Category:** Text to Video - **Output Type:** video - **Status:** active - **Version:** 0.0.1 - **Base Cost:** 720p, 5s = $1.00 - **Estimated Processing Time:** 60 seconds - **Last Updated:** 2026-06-09 - **Interactive Demo:** https://www.eachlabs.ai/ai-models/luma-ray-v3-2-text-to-video ## Pricing - **Charge Type:** dynamic - **Estimated Price (default example):** $1.00 - **Pricing Details:** 720p, 5s = $1.00 ### Pricing Rules | Condition | Pricing | | --- | --- | | resolution in_i "540p,540" AND duration in_i "5s,5" | 540p, 5s = $0.50 | | resolution in_i "720p,720" AND duration in_i "5s,5" | 720p, 5s = $1.00 | | resolution in_i "1080p,1080" AND duration in_i "5s,5" | 1080p, 5s = $2.00 | | resolution in_i "540p,540" AND duration in_i "10s,10" | 540p, 10s = $1.00 | | resolution in_i "720p,720" AND duration in_i "10s,10" | 720p, 10s = $2.00 | | resolution in_i "1080p,1080" AND duration in_i "10s,10" | 1080p, 10s = $4.00 | | Default (fallback) | Default: 540p, 5s = $0.50 | ## Input Schema No input parameters documented. ## Example Request ```bash curl -X POST https://api.eachlabs.ai/v1/prediction/ \ -H "X-API-Key: YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "luma-ray-v3-2-text-to-video", "input": {} }' ``` ## Output Schema Response returned by `GET /v1/prediction/{id}` when the job completes: ```json { "status": "success", "predictionID": "string", "output": "string (URL of generated video)", "metrics": { "predict_time": "number (seconds)" } } ``` ## Polling ```bash curl https://api.eachlabs.ai/v1/prediction/{PREDICTION_ID} \ -H "X-API-Key: YOUR_API_KEY" ``` | Status | Meaning | |--------|---------| | `processing` | Still running — poll again | | `success` | Done — read `output` | | `error` | Failed — read `message` / `details` | ## Webhook (alternative to polling) Pass `"webhook_url": "https://your.host/path"` in the create request. Eachlabs POSTs this payload when the job ends: ```json { "exec_id": "prediction-uuid", "status": "succeeded", "output": "https://...", "error": "" } ``` `status` is `"succeeded"` or `"failed"`. `exec_id` equals the `predictionID` from create. Return 2xx within 30 seconds. ## Errors Error body: `{ "status": "error", "message": "...", "details": "..." }` | Code | Meaning | |------|---------| | `400` | Invalid input | | `401` | Missing / invalid `X-API-Key` | | `404` | Unknown model or prediction id | | `429` | Rate limit — 100 creates / min, 10 concurrent per key | | `5xx` | Retry with backoff | ## Overview **Luma | Ray 3.2 | Text to Video Overview** Luma | Ray 3.2 | Text to Video is a generative video model from Luma that turns natural language prompts into short, cinematic clips tailored for modern short-form formats. Designed for creators and developers, it focuses on smooth motion, coherent scenes, and visually rich composition for social content, ads, and concept visuals. Within the Luma text-to-video family, Ray 3.2 emphasizes fine control over resolution, clip duration, and seamless looping, making it especially useful for repeatable background motions, product loops, and eye-catching visual hooks. Integrated via the Luma | Ray 3.2 | Text to Video API on each::labs, it lets teams add advanced video generation to their pipelines without managing GPU infrastructure. ## Usage Notes - API Base URL: `https://api.eachlabs.ai/v1` - Authentication: send `X-API-Key: YOUR_API_KEY`. Generate a key from the Eachlabs dashboard at https://www.eachlabs.ai/dashboard/api-keys. - File-typed parameters (`*_url`, `image_url`, `video_url`, `audio_url`, etc.) accept publicly-reachable HTTPS URLs only. Upload your asset first (GCS / S3 / your CDN) and pass the resulting URL. Data-URIs and localhost URLs are rejected. - For structured parameters (arrays / objects) send real JSON values, not stringified payloads. - Monetary values are reported in USD; per-token / per-megapixel rates may be billed in micro-cents internally. - Prefer `webhook_url` over polling for long-running predictions — see the Webhook Callback section.