Para cuentas sin compra previa: las ejecuciones superiores a 2 créditos requieren una recarga.
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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
A dense, verdant jungle world made up of small lego-like pieces. We see a rainbow chameleon running through the 3D world, the camera in and out of focus.
Duración: 0:08
Settings
aspect_ratio
16:9
duration
10
Prompt
A scene in new york city where all the cars and cabs start floating up. We see a girl watching the scene from the back. indie aesthetic, daytime
Duración: 0:08
Settings
aspect_ratio
16:9
duration
10
Prompt
A scene in new york city where all the cars and cabs start floating up. We see a girl watching the scene from the back
Duración: 0:08
Settings
aspect_ratio
16:9
duration
10
Prompts de ejemplo
Ejemplos del catálogo de Railwail. No fueron generados en vivo en esta página.
Cinematic
Duración: 0:10
Woman walking through sunflower field, golden hour
03
Acerca de Runway Gen 4.5
ResumenA partir de 23 de septiembre de 2026
Runway Gen 4.5 es un modelo de Runway en la categoría Generación de videos. En Railwail, Runway Gen 4.5 cuesta USD 0.144 por segundo de video. Una ejecución estándar de 5 segundos cuesta USD 0.72. Relaciones de aspecto compatibles: 16:9, 9:16 y 1:1. Duraciones posibles: 5 o 10 s.
Fondo
Acerca de Runway
Fundado en 2018 · New York City, USA
Runway was founded in 2018 in New York City by Cristobal Valenzuela, Anastasis Germanidis and Alejandro Matamala-Ortiz, three NYU ITP graduates who set out to build AI-native creative tools. Runway co-authored the Stable Diffusion paper (Rombach et al., 2022) with CompVis and LMU Munich and has shipped Gen-1 (2023), Gen-2 (2023), Gen-3 Alpha (June 2024), Gen-3 Alpha Turbo (July 2024), Gen-4 (March 2025) and Gen 4.5 (mid-2025). Gen 4.5 is the incremental update to Gen-4 with higher fidelity, longer durations and improved character consistency. The company has raised over $300M from Google, NVIDIA, Salesforce Ventures and General Catalyst at a $3B+ valuation, and runs the annual AI Film Festival as well as Hollywood-studio partnerships.
Latent video diffusion model (Diffusion Transformer) with reference and motion adapters
Runway Gen 4.5 is a closed Diffusion Transformer operating on a learned spatio-temporal latent space, building on the Gen-4 foundation released in early 2025. The model is conditioned on a multilingual text encoder plus optional image, reference-frame and motion-reference inputs. Gen-4 introduced character-, object- and environment-reference modes that let users lock identity, props or backgrounds across multiple shots; Gen 4.5 expands the reference vocabulary and improves consistency for longer sequences. Native generation is up to 10 seconds per clip at 720p (with 1080p upscale), and Runway's editor chains generations into multi-shot scenes. Gen 4.5 also tightens the integration with Runway's Act-One performance capture, Motion Brush, Lip Sync and Camera Control features. Training uses internal video, licensed footage and partner data on Runway's multimodal training infrastructure.
Parámetros
Undisclosed
Capacidades
Text-to-video and image-to-video at up to 720p (1080p via upscale)
10-second clips per generation, chainable into multi-shot scenes
Character-, object- and environment-reference modes for cross-shot consistency
Tight integration with Act-One performance capture, Motion Brush and Lip Sync
Strong cinematic camera-language and Camera Control sliders
Available via Runway web app, mobile app and API
Used in production by Hollywood studios for previs and inserts
Public model card and ongoing safety programme
Best for: film previs, ad creative, multi-shot narratives, character-driven content.
Entrenamiento y licencia
Curated mix of internal video, licensed footage and partner data on Runway's multimodal training infrastructure; exact corpus size undisclosed.
Licencia: Proprietary commercial licence via Runway Terms of Service; generated content usable commercially on paid plans.
Pruebas de seguridad: Multi-stage moderation (NSFW, CSAM, celebrity-likeness, trademark); public model card; ongoing red-team programme and policy team.
curl https://railwail.com/api/v1/videos/generations \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "runway-gen45",
"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": "runway-gen45",
"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: "runway-gen45",
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);
Runway Gen 4.5 es un modelo de Runway en la categoría Generación de videos. En Railwail puedes llamarlo con una clave API a través de la API de Railwail.
¿Cuánto cuesta Runway Gen 4.5 en Railwail?
En Railwail, Runway Gen 4.5 cuesta USD 0.144 por segundo de video. Una ejecución estándar de 5 segundos cuesta USD 0.72. 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 Runway Gen 4.5?
Según su esquema de entrada, Runway Gen 4.5 conoce estos parámetros: prompt, duration (5 o 10), start_image y aspect_ratio (16:9, 9:16 o 1:1).
¿Qué tan rápido es Runway Gen 4.5?
Aún no hay suficientes ejecuciones medidas de Runway Gen 4.5 en Railwail para indicar un tiempo de ejecución. Depende de la entrada, la configuración y la carga en el proveedor.
¿Es Runway Gen 4.5 mejor que Google Veo 3.1?
Eso depende de la tarea. Runway Gen 4.5 (Runway) 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.
¿Puede Runway Gen 4.5 usar una imagen como entrada?
Sí. Envía la imagen en el parámetro start_image.
¿Cómo uso Runway Gen 4.5 a través de la API?
Crea una clave API de Railwail y envía tu solicitud con el ID de modelo runway-gen45. Los ejemplos de código para curl, Python y JavaScript están en la sección API de esta página.
