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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.
Input
Prompt
Overlapping geometric shapes, pulsing to upbeat electronic music with SFX of shifting patterns
Lengde: 0:08
Settings
aspect_ratio
16:9
resolution
720p
duration
8
Input
Prompt
the seed slowly starts to spin, faster and faster as it morphs into a whole watermelon
Lengde: 0:08
Settings
aspect_ratio
16:9
resolution
720p
duration
8
Prompt
a cat steals a fish from a supermarket and escapes
Lengde: 0:08
Settings
aspect_ratio
16:9
resolution
720p
duration
8
Eksempelprompts
Eksempler fra Railwail-katalogen. De ble ikke generert live på denne siden.
Rain
Lengde: 0:04
Rain on window with city lights blurred
03
Om Google Veo 3.1 Fast
Kort sagtPer 23. september 2026
Google Veo 3.1 Fast er en modell fra Google DeepMind i kategorien Videogenerering. På Railwail koster Google Veo 3.1 Fast 0,18 USD per videosekund. Avhengig av innstillingene varierer prisen fra 0,12 USD/s til 0,18 USD/s. En standardkjøring på 4 sekunder koster 0,72 USD. Støttede bildeformat: 16:9 og 9:16. Mulige lengder: 4, 6 eller 8 s.
Bakgrunn
Om Google DeepMind
Grunnlagt 2010 · London, United Kingdom
Google DeepMind, formed in 2023 from Google Brain and DeepMind under Demis Hassabis, runs the Veo video-generation programme. Veo 3.1 Fast is the speed and cost tier of Veo 3.1, designed for high-volume creative iteration on Vertex AI, the Gemini API and consumer surfaces like VideoFX and YouTube Dream Screen. Like Veo 3 Fast before it, the Fast variant trades a small amount of fidelity for substantially faster generation and lower per-clip pricing, while keeping the joint audio-video diffusion stack and SynthID provenance from the full Veo 3.1.
Distilled latent video diffusion / DiT speed tier with joint audio-video diffusion
Veo 3.1 Fast is a distilled, low-step variant of Veo 3.1 that uses consistency-style sampler distillation and quantization to compress the diffusion process into far fewer denoising steps. The architecture is identical to Veo 3.1 -- a latent video diffusion model with a transformer denoiser plus a coupled audio diffusion module -- but parameters are tuned and the sampler shortened for substantially faster inference. Generation produces up to 8-second 1080p clips with synchronized audio (music, ambient sound, dialogue with lip-sync) at noticeably lower cost than the full Veo 3.1. Conditioning uses Gemini-family text encoders plus optional image and reference-frame inputs. Training is partly a distillation of Veo 3.1 with auxiliary supervision to preserve audio-video sync and prompt adherence under the shortened sampler.
Parametere
Undisclosed
Evner
Speed-tier Veo 3.1 with native synchronized audio retained
Up to 8-second 1080p clips at substantially lower latency and cost
Text-to-video and image-to-video
Reference-frame conditioning for consistency
Rich cinematographic prompt vocabulary
Multilingual prompts via Gemini text encoders
Available via Vertex AI, Gemini API, VideoFX, Whisk and YouTube Dream Screen
SynthID audio + visual watermarking
Best for: high-volume creative iteration, ad A/B testing, social shorts with audio.
Trening og lisens
Distilled from Veo 3.1 over the same curated multilingual audio-video corpus; auxiliary supervision tuned for sampler-step efficiency and audio-video synchronization.
Lisens: Proprietary commercial licence via Google Cloud / Vertex AI and Gemini API; commercial use under Google's generative-AI terms; mandatory SynthID watermark.
Sikkerhetstesting: Google Responsible AI framework with the same filters as Veo 3.1; SynthID-based provenance on all outputs.
Kjente begrensninger
Slight quality regression vs full Veo 3.1 on fine detail and complex audio
8-second clip limit
Audio short-form and English-leaning
Closed model with no peer-reviewed paper
Strict moderation on people, brands and political content
curl https://railwail.com/api/v1/videos/generations \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "veo-3-1-fast",
"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": "veo-3-1-fast",
"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: "veo-3-1-fast",
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);
Proprietary commercial licence via Google Cloud / Vertex AI and Gemini API; commercial use under Google's generative-AI terms; mandatory SynthID watermark.
Katalogoppføring oppdatert
23. september 2026
Inndataparametere
Inndataer og innstillinger fra modellens inndataskjema. Eksemplet i API-delen viser hvilke av dem APIen godtar.
Google Veo 3.1 Fast er en modell fra Google DeepMind i kategorien Videogenerering. På Railwail kan du kalle den med en API-nøkkel gjennom Railwail API.
Hvor mye koster Google Veo 3.1 Fast på Railwail?
På Railwail koster Google Veo 3.1 Fast 0,18 USD per videosekund. Avhengig av innstillingene varierer prisen fra 0,12 USD/s til 0,18 USD/s. En standardkjøring på 4 sekunder koster 0,72 USD. Prisen er kjent før kjøringen starter. Bruk betales fra forhåndskjøpte kreditter; 1 kreditt tilsvarer 0,01 USD.
Hvilke innstillinger støtter Google Veo 3.1 Fast?
I henhold til inndataskjemaet kjenner Google Veo 3.1 Fast disse parametrene: prompt, duration (4, 6 eller 8), start_image og aspect_ratio (16:9 eller 9:16).
Hvor rask er Google Veo 3.1 Fast?
Det finnes ennå ikke nok målte kjøringer av Google Veo 3.1 Fast på Railwail til å angi en kjøretid. Det avhenger av inndataene, innstillingene og belastningen hos leverandøren.
Er Google Veo 3.1 Fast bedre enn Google Veo 3.1?
Det avhenger av oppgaven. Google Veo 3.1 Fast (Google DeepMind) og Google Veo 3.1 (Google DeepMind) er begge modeller i kategorien Videogenerering. Sammenligningssiden viser prisene og spesifikasjonene deres side ved side.
Kan Google Veo 3.1 Fast bruke et bilde som inndata?
Ja. Send bildet i parameteren start_image.
Hvordan bruker jeg Google Veo 3.1 Fast gjennom API-en?
Opprett en Railwail API-nøkkel og send forespørselen din med modell-ID-en veo-3-1-fast. Kodeeksempler for curl, Python og JavaScript finnes i API-delen av denne siden.
