Kontode puhul, millel pole ostuajalugu: kĂ€ivitused ĂŒle 2 krediidi vajavad tĂ€iendust.
Oled siin uus?
10 tasuta krediiti (0,10Â $), kui registreeritud Google'iga
Kasutatav 24 tundi pÀrast registreerimist, kuni 5 kÀivitust pÀevas ja maksimaalselt 2 krediiti kÀivituse kohta. Muud sisselogimismeetodid algavad ilma krediitideta.
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 Wes Anderson style movie trailer with symmetrical framing and pastel colors. Opening: a perfectly centered shot of a grand pink hotel facade with teal shutters. A bellboy in a pillbox hat pushes a luggage cart precisely down the center of a hallway. Quick lateral tracking shots: a mustachioed concierge stamps a passport, twin sisters in matching yellow dresses ride a tandem bicycle through a village square, a detective examines a painting through a magnifying glass while standing in an absurdly tiny elevator. Every shot is perfectly balanced and color-coordinated in pastels. Final symmetrical shot of the entire cast standing in a row on the hotel steps. Text in a vintage serif font: "KLING V3 OMNI VIDEO" then "NOW ON REPLICATE". Whimsical harpsichord music, the sound of a bell ding.
Pikkus: 0:08
Settings
aspect_ratio
16:9
duration
15
mode
pro
Prompt
A lavish period drama movie trailer set in 18th century Versailles. Opening: a sweeping crane shot over manicured gardens with fountains at golden hour. Cut to a grand ballroom filled with dancers in elaborate silk gowns and powdered wigs, candlelight from enormous chandeliers. A mysterious woman in a crimson dress locks eyes with a nobleman across the room. Quick cuts: secret letters being passed, a duel at dawn in the mist, tears on a beautiful face. Final shot: the woman stands alone on a balcony overlooking Paris at sunset. Elegant gold text fades in: "KLING V3 OMNI VIDEO" then "NOW ON REPLICATE". Sweeping orchestral strings, harpsichord notes, dramatic crescendo.
Pikkus: 0:08
Settings
aspect_ratio
16:9
duration
15
mode
pro
Prompt
A multi-scene cinematic sequence.
Pikkus: 0:08
Settings
aspect_ratio
16:9
duration
15
mode
pro
NĂ€ite-prompid
NĂ€ited Railwail kataloogist. Neid ei loodud otse sellel lehel.
Character
Pikkus: 0:05
Cartoon character waving and dancing
03
Teave: Kling v3 Omni
LĂŒhidaltSeisuga 23. september 2026
Kling v3 Omni on mudel, mille on vÀlja töötanud Kuaishou (Kling) kategoorias Videote genereerimine. Railwail'is maksab Kling v3 Omni 0,2688 $ videosekundi kohta. SÀtete jÀrgi varieerub hind vahemikus 0,2016 $/s kuni 0,504 $/s. Vaikimisi kÀivitus kestusega 5 sekundit maksab 1,344 $. Toetatud kuvasuhtarvud: 16:9, 9:16 ja 1:1. VÔimalikud pikkused: 3, 5, 10 vÔi 15 s.
Taust
Teave Kuaishou Technology kohta
Asutatud 2011 · Beijing, China
Kuaishou Technology (founded 2011 by Su Hua and Cheng Yixiao) operates one of China's two dominant short-video platforms and runs the KLING AI lab. Following the success of Kling 1.x and Kling v3, the team released Kling v3 Omni in 2025 as the multimodal-conditioning variant of v3. Omni accepts not only text and a single image but also audio reference, video reference, character-reference images, sketches, depth maps and pose skeletons, making it the broadest conditioning surface among Chinese video models. Omni is exposed through klingai.com, the Kling Studio editor and the Kling API.
Diffusion Transformer (DiT) with multimodal conditioning adapters
Kling v3 Omni shares the same core DiT denoiser as Kling v3 but adds a suite of conditioning adapters that inject heterogeneous control signals into the diffusion backbone. The model accepts text prompts (bilingual LLM encoder), first frame, end frame, subject-reference images (for locked identity), pose / skeleton videos (for motion transfer), depth maps (for 3D-aware control), sketches (for layout), audio reference (for music-driven motion and lip-sync) and short video references (for style transfer). Each modality is encoded by a dedicated adapter network and merged via cross-attention layers into the 3D spatio-temporal latent stream. Joint audio-video diffusion produces synchronized sound, including lip-sync to a provided dialogue audio track. Training uses paired multimodal-conditioning data including motion-capture libraries, sketch-to-video pairs and music videos.
Parameetrid
Undisclosed
VÔimalused
Text-, image-, pose-, sketch-, depth-, audio- and video-reference conditioning
Lip-sync to a user-provided dialogue audio track
Motion transfer from a pose / skeleton video
Subject-reference for locked character identity
Sketch- and depth-controlled layout for storyboards
1080p / 30 fps, native synchronized audio
Available via Kling Studio and API
Strongest conditioning surface among Chinese video models
Best for: animation studios, lip-sync content, motion-capture-driven workflows.
Treening ja litsents
Closed corpus including platform video, licensed footage, motion-capture libraries, sketch / depth annotation pairs and music videos with dense multimodal captions.
Litsents: Proprietary commercial licence via Kling AI / Kuaishou terms.
Turvalisuse testimine: Same filters as Kling v3 plus deepfake / impersonation guards on lip-sync inputs; subject to Chinese CAC algorithmic-content rules.
Teadaolevad piirangud
Complex conditioning workflows can be brittle
Heavy political and public-figure moderation
Higher per-clip cost than vanilla v3
Audio sync is short-form and English/Chinese-leaning
curl https://railwail.com/api/v1/videos/generations \
-H "Authorization: Bearer $RAILWAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kling-v3-omni",
"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-omni",
"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-omni",
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 Omni on mudel, mille töötas vÀlja Kuaishou (Kling) kategoorias Videote genereerimine. Railwail'is saad seda kutsuda API vÔtme abil Railwail API kaudu.
Kui palju maksab Kling v3 Omni Railwail'is?
Railwail'is maksab Kling v3 Omni 0,2688 $ videosekundi kohta. SÀtete jÀrgi varieerub hind vahemikus 0,2016 $/s kuni 0,504 $/s. Vaikimisi kÀivitus kestusega 5 sekundit maksab 1,344 $. Hind on teada enne kÀivitamist. Kasutamine makstakse eelnevalt ostetud krediitidest; 1 krediit vÔrdub 0,01 $.
Milliseid seadistusi Kling v3 Omni toetab?
Vastavalt sisendiskeemile teab Kling v3 Omni neid parameetreid: prompt, duration (3, 5, 10 vÔi 15), end_image, start_image, aspect_ratio (16:9, 9:16 vÔi 1:1) ja reference_images (kuni 7 faili).
Kui kiire on Kling v3 Omni?
Kling v3 Omni kohta ei ole Railwail'is veel piisavalt mÔÔdetud kÀivitusi, et kÀivitusaega vÀita. See sÔltub sisendist, seadistustest ja pakkuja koormusest.
Kas Kling v3 Omni on parem kui Google Veo 3.1?
See sĂ”ltub ĂŒlesandest. Kling v3 Omni (Kuaishou (Kling)) ja Google Veo 3.1 (Google DeepMind) on mĂ”lemad mudelid kategoorias Videote genereerimine. VĂ”rdlusleht nĂ€itab nende hindu ja spetsifikatsioone kĂ”rvuti.
