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10 credite gratuite (0,10 USD) când te înregistrezi cu Google
Utilizabil 24 ore după înregistrare, până la 5 rulări pe zi și maximum 2 credite pe rulare. Alte metode de conectare încep fără credite.
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
Lungime: 0:05
Settings
aspect_ratio
16:9
duration
5
Indicații de exemplu
Exemple din catalogul Railwail. Nu au fost generate live pe această pagină.
Nature Scene
Lungime: 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
Lungime: 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
Despre Google Veo 2
Pe scurtDin 23 septembrie 2026
Google Veo 2 este un model de Google DeepMind din categoria Generare videoclipuri. Pe Railwail, Google Veo 2 costă 0,60 USD per secundă de videoclip. O execuție implicită de 8 secunde costă 4,80 USD. Rapoarte de aspect acceptate: 16:9 și 9:16. Lungimi posibile: 5, 6, 7 sau 8 s. Versiune mai nouă: Google Veo 3.1.
Fundal
Despre Google DeepMind
Fondat 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.
Parametri
Undisclosed
Capabilități
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.
Antrenament & licență
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.
Licență: 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.
Teste de siguranță: 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.
Limitări cunoscute
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.
Intrare catalog actualizată
23 septembrie 2026
Parametri de intrare
Intrări și setări din schema de intrare a modelului. Exemplul din secțiunea API arată care dintre ele acceptă API-ul.
Google Veo 2 este un model de Google DeepMind din categoria Generare videoclipuri. Pe Railwail îl poți apela cu o cheie API prin Railwail API.
Cât costă Google Veo 2 pe Railwail?
Pe Railwail, Google Veo 2 costă 0,60 USD per secundă de videoclip. O execuție implicită de 8 secunde costă 4,80 USD. Prețul este cunoscut înainte ca rularea să înceapă. Utilizarea se plătește din credite prepay; 1 credit egal cu 0,01 USD.
Ce setări acceptă Google Veo 2?
Conform schemei sale de intrare, Google Veo 2 cunoaște acești parametri: prompt, duration (5, 6, 7 sau 8), start_image și aspect_ratio (16:9 sau 9:16).
Cât de rapid este Google Veo 2?
Nu sunt suficiente rulări măsurate ale Google Veo 2 pe Railwail încă pentru a indica un timp de rulare. Depinde de intrare, de setări și de sarcina la furnizor.
Este Google Veo 2 mai bun decât Google Veo 3.1?
Depinde de sarcină. Google Veo 2 (Google DeepMind) și Google Veo 3.1 (Google DeepMind) sunt ambele modele din categoria Generare videoclipuri. Pagina de comparație arată prețurile și specificațiile lor una lângă alta.
Creează o cheie Railwail API și trimite cererea cu ID-ul modelului google-veo-2. Exemple de cod pentru curl, Python și JavaScript sunt în secțiunea API a acestei pagini.
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.
