Kontiem bez pirkuma: palaišanas gadījumi virs 2 kredītiem prasa papildināšanu.
Jauns šeit?
10 bezmaksas kredīti (0,10 $), reģistrējies ar Google
Pieejams 24 stundas pēc reģistrācijas, līdz 5 palaišanas gadījumi dienā un maksimāli 2 kredīti uz palaišanas gadījumu. Citas pierakstīšanās metodes sākas bez kredītiem.
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
Ilgums: 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
Ilgums: 0:08
Settings
aspect_ratio
16:9
resolution
720p
duration
8
Prompt
a cat steals a fish from a supermarket and escapes
Ilgums: 0:08
Settings
aspect_ratio
16:9
resolution
720p
duration
8
Paraugu uzvednes
Piemēri no Railwail kataloga. Tie netika ģenerēti tiešraidē šajā lapā.
Rain
Ilgums: 0:04
Rain on window with city lights blurred
03
Par Google Veo 3.1 Fast
ĪsumāUz 2026. gada 23. septembris
Google Veo 3.1 Fast ir Google DeepMind modelis kategorijā Video ģenerēšana. Railwail platformā Google Veo 3.1 Fast maksā 0,18 $ par video sekundi. Atkarībā no iestatījumiem, cena svārstās no 0,12 $/s līdz 0,18 $/s. Noklusējuma palaišana ar 4 sekundēm maksā 0,72 $. Atbalstītie aspekta koeficienti: 16:9 un 9:16. Iespējamie ilgumi: 4, 6 vai 8 s.
Fons
Par Google DeepMind
Dibināts 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.
Parametri
Undisclosed
Iespējas
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.
Apmācība un licence
Distilled from Veo 3.1 over the same curated multilingual audio-video corpus; auxiliary supervision tuned for sampler-step efficiency and audio-video synchronization.
Licence: Proprietary commercial licence via Google Cloud / Vertex AI and Gemini API; commercial use under Google's generative-AI terms; mandatory SynthID watermark.
Drošības pārbaudes: Google Responsible AI framework with the same filters as Veo 3.1; SynthID-based provenance on all outputs.
Zināmi ierobežojumi
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.
Kataloga ieraksts atjaunināts
2026. gada 23. septembris
Ievades parametri
Ievades un iestatījumi no modeļa ievades shēmas. Piemērs API sadaļā parāda, kurus no tiem API pieņem.
Google Veo 3.1 Fast ir Google DeepMind izstrādāts modelis Video ģenerēšana kategorijā. Railwail platformā varat to izsaukt ar API atslēgu, izmantojot Railwail API.
Cik maksā Google Veo 3.1 Fast Railwail?
Railwail platformā Google Veo 3.1 Fast maksā 0,18 $ par video sekundi. Atkarībā no iestatījumiem, cena svārstās no 0,12 $/s līdz 0,18 $/s. Noklusējuma palaišana ar 4 sekundēm maksā 0,72 $. Cena ir zināma pirms izpildes sākuma. Izmantošana tiek apmaksāta no iepriekš nopirkto kredītu; 1 kredīts = 0,01 $.
Kādus iestatījumus atbalsta Google Veo 3.1 Fast?
Saskaņā ar tā ievades shēmu, Google Veo 3.1 Fast pazīst šos parametrus: prompt, duration (4, 6 vai 8), start_image un aspect_ratio (16:9 vai 9:16).
Cik ātrs ir Google Veo 3.1 Fast?
Railwail platformā Google Veo 3.1 Fast vēl nav pietiekami daudz izmērītu izpilžu, lai norādītu izpildes laiku. Tas ir atkarīgs no ievades, iestatījumiem un sniedzēja slodzes.
Vai Google Veo 3.1 Fast ir labāks par Google Veo 3.1?
Tas ir atkarīgs no uzdevuma. Google Veo 3.1 Fast (Google DeepMind) un Google Veo 3.1 (Google DeepMind) ir abi modeļi Video ģenerēšana kategorijā. Salīdzināšanas lapā to cenas un specifikācijas ir parādītas blakus.
Vai Google Veo 3.1 Fast var izmantot attēlu kā ievadi?
Jā. Nosūtiet attēlu parametrā start_image.
Kā es varu izmantot Google Veo 3.1 Fast caur API?
Izveidojiet Railwail API atslēgu un nosūtiet savu pieprasījumu ar modeļa ID veo-3-1-fast. Koda piemēri curl, Python un JavaScript ir šīs lapas API sadaļā.
