Satın alma olmayan hesaplar için: 2 kredinin üzerindeki çalıştırmalar bir yükleme gerektirir.
Yeni misiniz?
Google ile kaydolduğunuzda 10 ücretsiz kredi ($0,10)
Kaydolduktan 24 saat sonra kullanılabilir, günde 5 çalıştırmaya kadar ve çalıştırma başına en fazla 2 kredi. Diğer oturum açma yöntemleri kredi olmadan başlar.
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.
Uzunluk: 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
Uzunluk: 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
Uzunluk: 0:08
Settings
aspect_ratio
16:9
duration
10
Örnek İstemler
Railwail kataloğundan örnekler. Bunlar bu sayfada canlı olarak oluşturulmadı.
Cinematic
Uzunluk: 0:10
Woman walking through sunflower field, golden hour
03
Runway Gen 4.5 Hakkında
Özet23 Eylül 2026 itibariyle
Runway Gen 4.5, Runway tarafından Video Oluşturma kategorisinde geliştirilen bir modeldir. Railwail üzerinde Runway Gen 4.5 maliyeti $0,144 video saniyesi başına. 5 saniyeli varsayılan bir çalıştırma $0,72 maliyetlidir. Desteklenen en boy oranları: 16:9, 9:16 ve 1:1. Olası uzunluklar: 5 veya 10 s.
Arka plan
Runway hakkında
Kuruluş yılı 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.
Parametreler
Undisclosed
Yetenekler
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.
Eğitim ve lisans
Curated mix of internal video, licensed footage and partner data on Runway's multimodal training infrastructure; exact corpus size undisclosed.
Lisans: Proprietary commercial licence via Runway Terms of Service; generated content usable commercially on paid plans.
Güvenlik testleri: 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, Runway tarafından Video Oluşturma kategorisinde oluşturulan bir modeldir. Railwail üzerinden Railwail API'si aracılığıyla bir API anahtarı ile çağırabilirsiniz.
Runway Gen 4.5 Railwail'de ne kadar maliyetlidir?
Railwail üzerinde Runway Gen 4.5 maliyeti $0,144 video saniyesi başına. 5 saniyeli varsayılan bir çalıştırma $0,72 maliyetlidir. Fiyat çalıştırma başlamadan önce belli olur. Kullanım ön ödemeli kredilerden ödenir; 1 kredi $0,01 değerindedir.
Runway Gen 4.5 hangi ayarları destekler?
Giriş şemasına göre Runway Gen 4.5 şu parametreleri bilir: prompt, duration (5 veya 10), start_image ve aspect_ratio (16:9, 9:16 veya 1:1).
Runway Gen 4.5 ne kadar hızlıdır?
Railwail'de Runway Gen 4.5 için henüz çalıştırma süresi belirtmek için yeterli ölçülen çalıştırma yoktur. Bu, giriş, ayarlar ve sağlayıcıdaki yüke bağlıdır.
Runway Gen 4.5, Google Veo 3.1'dan daha iyi midir?
Bu göreve bağlıdır. Runway Gen 4.5 (Runway) ve Google Veo 3.1 (Google DeepMind) her ikisi de Video Oluşturma kategorisinde modellerdir. Karşılaştırma sayfası fiyatlarını ve özelliklerini yan yana gösterir.
Runway Gen 4.5'yi API aracılığıyla nasıl kullanırım?
Bir Railwail API anahtarı oluşturun ve isteğinizi runway-gen45 model kimliğiyle gönderin. curl, Python ve JavaScript için kod örnekleri bu sayfanın API bölümündedir.
