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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
Dĺžka: 0:05
Settings
aspect_ratio
16:9
duration
5
Prompt
A polar bear swimming underwater
Dĺžka: 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
Dĺžka: 0:05
Settings
aspect_ratio
16:9
duration
5
Príklady promptov
Príklady z katalógu Railwail. Neboli vygenerované živě na tejto stránke.
Nature
Dĺžka: 0:05
Waves crashing on black sand beach
03
O Luma Ray Flash 2
StručneK 23. septembra 2026
Luma Ray Flash 2 je model od Luma AI v kategórii Generovanie videí. Na Railwail stojí Luma Ray Flash 2 0,072 USD za sekundu videa. Predvolené spustenie s trvaním 5 sekúnd stojí 0,36 USD. Podporované pomery strán: 16:9, 9:16 a 1:1. Možné dĺžky: 5 alebo 9 s.
Pozadie
O Luma AI
Založené 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
Schopnosti
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.
Tréning a licencia
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.
Licencia: Proprietary commercial licence via Luma API and Bedrock terms.
Bezpečnostné testy: 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 je model od Luma AI v kategórii Generovanie videí. Na Railwail ho môžete volať pomocou API kľúča cez Railwail API.
Koľko stojí Luma Ray Flash 2 na Railwail?
Na Railwail stojí Luma Ray Flash 2 0,072 USD za sekundu videa. Predvolené spustenie s trvaním 5 sekúnd stojí 0,36 USD. Cena je známa pred spustením. Použitie sa platí z predplateného kreditu; 1 kredit sa rovná 0,01 USD.
Ktoré nastavenia podporuje Luma Ray Flash 2?
Podľa svojej vstupnej schémy Luma Ray Flash 2 pozná tieto parametre: prompt, duration (5 alebo 9), end_image, start_image a aspect_ratio (16:9, 9:16 alebo 1:1).
Ako rýchly je Luma Ray Flash 2?
Pre Luma Ray Flash 2 je na Railwail zatiaľ príliš málo meraných spustení na určenie doby spustenia. Závisí to od vstupu, nastavení a zaťaženia u poskytovateľa.
Je Luma Ray Flash 2 lepší ako Google Veo 3.1?
Závisí to od úlohy. Luma Ray Flash 2 (Luma AI) a Google Veo 3.1 (Google DeepMind) sú oba modely v kategórii Generovanie videí. Stránka porovnania zobrazuje ich ceny a špecifikácie vedľa seba.
Vytvorte Railwail API kľúč a pošlite svoju požiadavku s ID modelu luma-ray-flash. Príklady kódu pre curl, Python a JavaScript sú v časti API na tejto stránke.
