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10 kredite falas (0,10 US$) kur të regjistrohet me Google
I përdorshëm 24 orë pas regjistrimit, deri në 5 ekzekutime në ditë dhe më shumë se 2 kredite për ekzekutim. Metodat e tjera të hyrjes fillojnë pa kredite.
02
Examples
Real outputs from the public examples of this model on Replicate, with the prompt and settings that produced them. They were not generated live on this page.
Prompt
a dog riding a skateboard
Gjatësia: 0:05
Settings
aspect_ratio
16:9
duration
5
Shembuj të kërkesave
Shembuj nga katalogu i Railwail. Ata nuk u gjenerohen drejtpërdrejt në këtë faqe.
Nature Scene
Gjatësia: 0:08
Aerial drone shot slowly rising above a misty old-growth forest at dawn, revealing a winding river cutting through the valley below, golden sunlight breaking through clouds
Cinematic Portrait
Gjatësia: 0:05
Close-up of a woman's face as she opens her eyes and looks into the camera, shallow depth of field, soft golden backlight, hair gently moving in the breeze, cinematic 24fps
03
Rreth Google Veo 2
PĂ«rmbledhjeMĂ« 23 shtator 2026
Google Veo 2 është një model i Google DeepMind në kategorinë Gjenerimi i videove. Në Railwail, Google Veo 2 kushton 0,60 US$ për sekondë videoje. Një ekzekutim parazgjedhje me 8 sekonda kushton 4,80 US$. Raporte aspekti të mbështetur: 16:9 dhe 9:16. Gjatësi të mundshme: 5, 6, 7 ose 8 s. Versioni më i ri: Google Veo 3.1.
Sfondi
Rreth Google DeepMind
Themeluar 2010 · London, United Kingdom
Google DeepMind is the merged AI research organisation formed in April 2023 when Google Brain and DeepMind (acquired by Google in 2014) were combined into a single unit led by Demis Hassabis (CEO). DeepMind was founded in 2010 by Hassabis, Shane Legg and Mustafa Suleyman, and is famous for AlphaGo, AlphaFold and the Gemini language-model family. On the video side, DeepMind shipped Imagen Video (2022), Lumiere (2024), Veo (May 2024, Google I/O), Veo 2 (December 2024), Veo 3 with native audio (May 2025) and Veo 3.1 (late 2025). Veo is exposed via Vertex AI, the Gemini API, Google Labs (VideoFX, Whisk) and YouTube's Dream Screen.
Latent video diffusion / Diffusion Transformer hybrid with cascaded super-resolution
Veo 2 is a closed text-to-video and image-to-video model that builds on DeepMind's Imagen and Lumiere research. It uses a spatio-temporal latent diffusion architecture with a transformer-based denoiser conditioned on rich text embeddings from Gemini-family encoders and optional image embeddings. Veo 2 generates clips up to 8 seconds at up to 4K resolution (extended versions reach minutes), with strong understanding of camera language ('dolly', 'aerial', '35mm anamorphic') and real-world physics. DeepMind report substantial gains over Veo 1 on motion realism, prompt adherence and detail. The pipeline combines a base diffusion model with cascaded spatial and temporal super-resolution and an upscaler. Veo 2 was trained on a curated YouTube-and-partner video corpus with synthetic captioning at multiple granularities, and post-trained with reward models for prompt adherence and aesthetic quality.
Parametrat
Undisclosed
Aftësitë
Text-to-video and image-to-video generation
Up to 8-second clips, up to 4K resolution
Rich cinematographic prompt vocabulary (lenses, lighting, camera moves)
Strong real-world physics and object permanence
Available via Vertex AI, Gemini API, VideoFX and YouTube Dream Screen
SynthID watermarking embedded in every frame
Multilingual prompts via Gemini text encoders
Lower hallucination of artefacts than Veo 1
Best for: high-quality marketing, film previs, broadcast inserts, enterprise creative.
Trajnimi & Licenca
Curated mix of licensed video, public web video (including YouTube under Google's terms) and synthetic data, with multi-granularity captioning produced by Gemini vision models. Exact dataset size undisclosed.
Licenca: Proprietary commercial licence via Google Cloud / Vertex AI and the Gemini API; commercial usage permitted under Google's generative AI terms; SynthID watermark required on all output.
Testimi i sigurisë: Subject to Google's responsible AI framework with safety filters, public-figure filters, child-safety classifiers and provenance via SynthID; covered by Google's Responsible AI Progress Reports.
Kufizimet e njohura
No native audio in Veo 2 (audio first appears in Veo 3)
8-second clip limit per base generation
Closed access with gated waitlist on some surfaces
Strict moderation on people, brands and political content
Limited control over exact frame composition without seed images
curl https://railwail.com/api/v1/videos/generations \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "google-veo-2",
"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": "google-veo-2",
"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: "google-veo-2",
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 the Gemini API; commercial usage permitted under Google's generative AI terms; SynthID watermark required on all output.
Katalogu i përditësuar
23 shtator 2026
Parametrat e hyrjes
Hyrjet dhe cilësimet nga skema e hyrjes së modelit. Shembulli në seksionin API tregon cilat prej tyre e pranon API-ja.
Google Veo 2 është një model nga Google DeepMind në kategorinë Gjenerimi i videove. Në Railwail mund ta thirrësh me një çelës API përmes Railwail API.
Sa kushton Google Veo 2 në Railwail?
NĂ« Railwail, Google Veo 2 kushton 0,60 US$ pĂ«r sekondĂ« videoje. NjĂ« ekzekutim parazgjedhje me 8 sekonda kushton 4,80 US$. Ămimi dihet pĂ«rpara se tĂ« fillojĂ« ekzekutimi. PĂ«rdorimi paguhet nga kredite tĂ« parapaguar; 1 kredit barazon 0,01 US$.
Cilat cilësime mbështet Google Veo 2?
Sipas skemës së hyrjes, Google Veo 2 njeh këta parametra: prompt, duration (5, 6, 7 ose 8), start_image dhe aspect_ratio (16:9 ose 9:16).
Sa i shpejtë është Google Veo 2?
Nuk ka ende mjaft ekzekutime të matura të Google Veo 2 në Railwail për të deklaruar një kohë ekzekutimi. Varet nga hyrja, cilësimet dhe ngarkesa në ofruesin e shërbimit.
A është Google Veo 2 më i mirë se Google Veo 3.1?
Varet nga detyra. Google Veo 2 (Google DeepMind) dhe Google Veo 3.1 (Google DeepMind) janë të dy modele në kategorinë Gjenerimi i videove. Faqja e krahasimit tregon çmimet dhe specifikacimet e tyre krah për krah.
A mund të përdorë Google Veo 2 një imazh si hyrje?
Po. Dërgo imazhin në parametrin start_image.
Si e përdor Google Veo 2 përmes API?
Krijo një çelës Railwail API dhe dërgo kërkesën tënde me ID-në e modelit google-veo-2. Shembujt e kodit për curl, Python dhe JavaScript janë në seksionin API të kësaj faqeje.
Kuaishou's Kling v2.1, generating 5 and 10 second videos at 720p or 1080p from text or an image. Known for cinematic camera work and realistic physical motion, available on Replicate via the official KwaiVGI account.
