Luma Ray Flash 2
Fast affordable video with I2V support
Luma Ray Flash 2 is video generation AI model from Luma AI, priced at €0.000 per 1M input tokens with a unknown context window.
Image References
Examples
See what Luma Ray Flash 2 can generate
Nature
"Waves crashing on black sand beach"
Pricing
API Integration
Use our OpenAI-compatible API to integrate Luma Ray Flash 2 into your application.
npm install railwailimport railwail from "railwail";
const rw = railwail("YOUR_API_KEY");
// Simple — just pass a string
const reply = await rw.run("luma-ray-flash", "Hello! What can you do?");
console.log(reply);
// With message history
const reply2 = await rw.run("luma-ray-flash", [
{ role: "system", content: "You are a helpful assistant." },
{ role: "user", content: "Explain quantum computing simply." },
]);
console.log(reply2);
// Full response with usage info
const res = await rw.chat("luma-ray-flash", [
{ role: "user", content: "Hello!" },
], { temperature: 0.7, max_tokens: 500 });
console.log(res.choices[0].message.content);
console.log(res.usage);Deep dive — Luma AI's Luma Ray Flash 2
Luma AI, founded in 2021 by Amit Jain (ex-Apple) and Alex Yu (ex-UC Berkeley), began as a 3D / NeRF capture company before becoming a generative-video lab with the launch of Dream Machine in mid-2024. Luma followed with the Ray family of higher-fidelity models: Ray 1 (early 2025), Ray 2 (mid-2025) and Ray Flash 2 (late 2025). Ray Flash 2 is the speed-tier sibling of Ray 2: distilled and quantized for substantially faster and cheaper inference at near-Ray-2 visual quality. The Ray family is available via the Luma web app, the Luma API, and integrations such as Amazon Bedrock and Adobe Firefly partnerships. Luma's investors include a16z, Amplify Partners, NVIDIA and Matrix Partners, with a 2025 valuation above $4B.
Visit Luma AI →Luma Ray Flash 2 is the distilled, low-step variant of Ray 2, Luma's flagship video diffusion-transformer model. The base Ray 2 is a multi-billion-parameter latent video diffusion model with a transformer denoiser operating on a learned spatio-temporal latent space and conditioned on text embeddings (multilingual) and optional image embeddings. Flash 2 is produced via consistency-style distillation and quantization, compressing the sampler into far fewer denoising steps and reducing per-clip latency and cost while preserving most of Ray 2's prompt adherence and motion physics. Ray Flash 2 supports text-to-video, image-to-video (first frame), end-frame conditioning and 'extend' operations; output is 5-second clips at 720p / 24 fps with optional upscaling to 1080p.
- Parameters
- Undisclosed
- Context
- unknown
- Speed-tier distilled video model with near-Ray-2 quality
- Text-to-video and image-to-video
- First-frame and end-frame conditioning
- 5-second clips at 720p / 24 fps, upscalable to 1080p
- Extend operations for ~20-second sequences
- Strong cinematic camera moves and physics
- Available via Luma web app, API and Amazon Bedrock
- Lower cost per second than Ray 2
- Best for: high-volume creative iteration, social shorts, ad creative.
Closed corpus combining licensed stock footage, curated web video and synthetic data; bilingual captions from an in-house vision-language captioner. Exact dataset size undisclosed.
License: Proprietary commercial licence via Luma API and Bedrock terms.
Known limitations
- 5-second base clips, ~20s via extension
- No native audio
- Slight quality regression vs Ray 2 on fine detail
- Closed model with limited technical disclosure
- Per-clip pricing on API
Research papers
Frequently asked questions
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