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10 créditos gratis (USD 0.10) cuando te registras con Google
Utilizable 24 horas después del registro, hasta 5 ejecuciones por día y como máximo 2 créditos por ejecución. Otros métodos de inicio de sesión comienzan sin créditos.
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
First-person POV of a roller coaster plunging into the mouth of an erupting volcano. The track spirals down through rivers of glowing orange lava, sparks and embers flying past the camera. The coaster banks hard around a pillar of molten rock, then launches upward through a vent, bursting out of the volcano's crater into a dazzling sunset sky above the clouds. Wind roaring, riders screaming with excitement, the deep rumble of the volcano.
Duración: 0:08
Settings
aspect_ratio
16:9
duration
15
mode
pro
Prompt
Bamse, the world's strongest bear, a cartoon brown bear wearing blue overalls and a blue knit cap, lifts an enormous boulder over his head and hurls it across a sunny Swedish meadow. Wildflowers scatter in the wind. His friends, a small rabbit and a turtle with a shell full of gadgets, cheer from behind a wooden fence. Bright, colorful 2D animation style with thick outlines. Cheerful music, a triumphant fanfare, birds chirping.
Duración: 0:08
Settings
aspect_ratio
16:9
duration
10
mode
pro
Prompt
Cinematic drone footage of a dragon made of living fire soaring over a frozen Nordic fjord at twilight. Its wings trail streams of flame that melt the ice below, creating swirling clouds of steam. The dragon banks sharply and breathes a column of fire across the mountainside, igniting the snow in brilliant orange and gold. Northern lights shimmer green and purple in the sky above. Thunderous wingbeats, crackling fire, hissing steam, a deep otherworldly growl.
Duración: 0:08
Settings
aspect_ratio
16:9
duration
15
mode
pro
Prompts de ejemplo
Ejemplos del catálogo de Railwail. No fueron generados en vivo en esta página.
Action
Duración: 0:10
Parkour athlete on rooftops at sunset
03
Acerca de Kling v3
ResumenA partir de 23 de septiembre de 2026
Kling v3 es un modelo de Kuaishou (Kling) en la categoría Generación de videos. En Railwail, Kling v3 cuesta USD 0.2688 por segundo de video. Según la configuración, el precio varía de USD 0.2016/s a USD 0.504/s. Una ejecución estándar de 5 segundos cuesta USD 1.344. Relaciones de aspecto compatibles: 16:9, 9:16 y 1:1. Duraciones posibles: 3, 5, 10 o 15 s.
Fondo
Acerca de Kuaishou Technology
Fundado en 2011 · Beijing, China
Kuaishou Technology, founded in 2011 by Su Hua and Cheng Yixiao, is one of China's two dominant short-video platforms, with ~700M monthly active users in 2025. Its KLING AI team shipped Kling 1.0 in June 2024, Kling 1.5 and 1.6 (late 2024), Kling 2.0 (Q1 2025) and Kling v3 (mid-2025). Kling v3 introduced native synchronized audio (sound effects and dialogue), 1080p+ at 30 fps, much improved motion physics, and the Omni multimodal-conditioning variant. The model is exposed via klingai.com, the Kling mobile app and a commercial API and is widely used by Chinese ad agencies, music labels and social-media creators.
Diffusion Transformer (DiT) with 3D spatio-temporal VAE and joint audio-video diffusion
Kling v3 is a closed-source video diffusion model built on Kuaishou's third-generation Diffusion Transformer architecture. The denoiser operates on a 3D spatio-temporal latent produced by a high-compression VAE and uses full 3D spatio-temporal attention rather than factorised attention. v3's headline change is a joint audio-video diffusion module that generates synchronized soundtrack (ambient sound, footsteps, music swells and short dialogue) aligned to the visual track. Text conditioning uses a bilingual LLM encoder with extended context for very long prompts; image conditioning supports first-frame, end-frame and subject-reference modes. Training uses a curated multi-billion-clip corpus (including platform data) with synthetic dense audio-visual captions; post-training combines reward-model alignment for visual aesthetics, prompt fidelity and audio-video sync.
Parámetros
Undisclosed
Capacidades
Text-to-video, image-to-video and subject-reference modes
1080p / 30 fps clips up to 10 seconds natively, extendable beyond 1 minute
Synchronized native audio (ambient sound, simple dialogue, music swells)
Director-style camera control (lenses, rigs, moves)
Strong physics on water, fabric, hair and crowd dynamics
Bilingual Chinese/English prompts with extended context
Lip-sync and motion-brush in Kling editor
Commercial API and Kling editor integration
Best for: cinematic shorts, ads with audio, music videos, character-driven content.
Entrenamiento y licencia
Closed multi-billion-clip corpus combining licensed video, web video and Kuaishou platform data, with dense audio-visual captions; exact size undisclosed.
Licencia: Proprietary commercial licence via Kling AI / Kuaishou terms; commercial use on paid plans.
Pruebas de seguridad: NSFW, CSAM, public-figure, copyright and politically sensitive content filters in line with CAC rules; stricter moderation on Chinese surfaces; audio module includes anti-impersonation checks.
Limitaciones conocidas
10-second native clip limit
Audio quality is short-form (limited length and music sophistication)
curl https://railwail.com/api/v1/videos/generations \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kling-v3",
"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": "kling-v3",
"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: "kling-v3",
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);
Kling v3 es un modelo de Kuaishou (Kling) en la categoría Generación de videos. En Railwail puedes llamarlo con una clave API a través de la API de Railwail.
¿Cuánto cuesta Kling v3 en Railwail?
En Railwail, Kling v3 cuesta USD 0.2688 por segundo de video. Según la configuración, el precio varía de USD 0.2016/s a USD 0.504/s. Una ejecución estándar de 5 segundos cuesta USD 1.344. El precio se conoce antes de que comience la ejecución. El uso se paga con créditos prepagados; 1 crédito equivale a USD 0.01.
¿Qué configuraciones admite Kling v3?
Según su esquema de entrada, Kling v3 conoce estos parámetros: prompt, duration (3, 5, 10 o 15), end_image, start_image y aspect_ratio (16:9, 9:16 o 1:1).
¿Qué tan rápido es Kling v3?
Aún no hay suficientes ejecuciones medidas de Kling v3 en Railwail para indicar un tiempo de ejecución. Depende de la entrada, la configuración y la carga en el proveedor.
¿Es Kling v3 mejor que Google Veo 3.1?
Eso depende de la tarea. Kling v3 (Kuaishou (Kling)) y Google Veo 3.1 (Google DeepMind) son ambos modelos en la categoría Generación de videos. La página de comparación muestra sus precios y especificaciones lado a lado.
Crea una clave API de Railwail y envía tu solicitud con el ID de modelo kling-v3. Los ejemplos de código para curl, Python y JavaScript están en la sección API de esta página.
