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02
Examples
Real outputs from the public examples of this model on Replicate, with the prompt and settings that produced them. They were not generated live on this page.
Prompt
A cinematic anime character intimate closeup, she is sitting at a cafe on a busy city street in the morning, it is cold
Længde: 0:05
Settings
aspect_ratio
16:9
duration
5
Prompt
A polar bear swimming underwater
Længde: 0:05
Settings
aspect_ratio
16:9
duration
5
Prompt
A snow leopard crouched on a rocky ledge, staring directly at camera, snowflakes falling around it
Længde: 0:05
Settings
aspect_ratio
16:9
duration
5
Eksempelprompts
Eksempler fra Railwail-kataloget. De blev ikke genereret live på denne side.
Nature
Længde: 0:05
Waves crashing on black sand beach
03
Om Luma Ray Flash 2
Kort sagtFra 23. september 2026
Luma Ray Flash 2 er en model af Luma AI i kategorien Videogenerering. På Railwail koster Luma Ray Flash 2 0,072 US$ pr. videosekund. En standardkørsel på 5 sekunder koster 0,36 US$. Understøttede billedformater: 16:9, 9:16 og 1:1. Mulige længder: 5 eller 9 s.
Baggrund
Om Luma AI
Grundlagt 2021 · Palo Alto, USA
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.
Distilled latent video diffusion (DiT-style) speed tier
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.
Parametre
Undisclosed
Funktioner
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.
Træning og licens
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.
Licens: Proprietary commercial licence via Luma API and Bedrock terms.
Sikkerhedstests: NSFW, CSAM and likeness filters at prompt and output stage; SynthID-style watermarking via Bedrock.
curl https://railwail.com/api/v1/videos/generations \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "luma-ray-flash",
"prompt": "A slow drone shot over a misty pine forest at sunrise"
}'
# Response: {"job_id": "...", "status": "queued", ...}
# Poll until status is completed, failed or cancelled:
curl https://railwail.com/api/v1/jobs/JOB_ID \
-H "Authorization: Bearer $RAILWAIL_API_KEY"
import os
import time
import requests
API = "https://railwail.com/api/v1"
headers = {"Authorization": f"Bearer {os.environ['RAILWAIL_API_KEY']}"}
job = requests.post(
f"{API}/videos/generations",
headers=headers,
json={
"model": "luma-ray-flash",
"prompt": "A slow drone shot over a misty pine forest at sunrise",
},
).json()
while True:
status = requests.get(f"{API}/jobs/{job['job_id']}", headers=headers).json()
if status["status"] in ("completed", "failed", "cancelled"):
break
time.sleep(5)
print(status["status"], status.get("output_url"))
const API = "https://railwail.com/api/v1";
const headers = {
Authorization: `Bearer ${process.env.RAILWAIL_API_KEY}`,
"Content-Type": "application/json",
};
const job = await fetch(`${API}/videos/generations`, {
method: "POST",
headers,
body: JSON.stringify({
model: "luma-ray-flash",
prompt: "A slow drone shot over a misty pine forest at sunrise"
}),
}).then((r) => r.json());
let status;
do {
await new Promise((r) => setTimeout(r, 5000));
status = await fetch(`${API}/jobs/${job.job_id}`, { headers }).then((r) => r.json());
} while (!["completed", "failed", "cancelled"].includes(status.status));
console.log(status.status, status.output_url);
Luma Ray Flash 2 er en model fra Luma AI i kategorien Videogenerering. På Railwail kan du kalde den med en API-nøgle via Railwail API.
Hvad koster Luma Ray Flash 2 på Railwail?
På Railwail koster Luma Ray Flash 2 0,072 US$ pr. videosekund. En standardkørsel på 5 sekunder koster 0,36 US$. Prisen kendes før kørslen starter. Forbrug betales fra forudbetalte credits; 1 credit svarer til 0,01 US$.
Hvilke indstillinger understøtter Luma Ray Flash 2?
Ifølge dens inputskema kender Luma Ray Flash 2 disse parametre: prompt, duration (5 eller 9), end_image, start_image og aspect_ratio (16:9, 9:16 eller 1:1).
Hvor hurtig er Luma Ray Flash 2?
Der er endnu ikke nok målte kørsler af Luma Ray Flash 2 på Railwail til at angive en udførelsestid. Det afhænger af inputtet, indstillingerne og belastningen hos provideren.
Er Luma Ray Flash 2 bedre end Google Veo 3.1?
Det afhænger af opgaven. Luma Ray Flash 2 (Luma AI) og Google Veo 3.1 (Google DeepMind) er begge modeller i kategorien Videogenerering. Sammenligningssiden viser deres priser og specifikationer side om side.
Opret en Railwail API-nøgle og send din anmodning med model-ID'en luma-ray-flash. Kodeeksempler til curl, Python og JavaScript findes i API-sektionen på denne side.
