Name: Krea WAN 14B Text to Video API
Brand: Krea

Overview

What is Krea WAN 14B Text to Video API?

Krea WAN 14B Text to Video generates high-quality videos from text using the 14B parameter WAN model.

Technical Specifications
- Supported inputs: Text
- Output: Video

Performance Benchmarks
[embed]

Krea WAN 14B Text to Video API Pricing
- Pricing on request

Where to Use Krea WAN 14B Text to Video

Short-form video generation
Create clips for social, ads, and product demos from text or image prompts.

Previsualization and storyboards
Rapidly prototype motion concepts before committing to production.

Use cases

Create short social media clips with natural motion and camera control.

Generate animated storyboards for film or advertising projects.

Rapidly prototype video concepts for marketing campaigns.

Visualize product ideas and design iterations quickly.

How to use Krea WAN 14B Text to Video API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to krea/krea-wan-14b/text-to-video.

import requests, time

headers = {"Authorization": "Bearer " + AIMLAPI_KEY}
job = requests.post(
    "https://api.aimlapi.com/v2/video/generations",
    headers=headers,
    json={
      "model": "krea/krea-wan-14b/text-to-video",
      "prompt": "A serene timelapse of clouds over a mountain range"
    },
).json()
gid = job["id"]

while True:
    res = requests.get(f"https://api.aimlapi.com/v2/video/generations?generation_id={gid}", headers=headers).json()
    if res.get("status") in ("completed", "error"):
        break
    time.sleep(5)
print(res["video"]["url"])

const headers = {
  Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
  "Content-Type": "application/json",
};
const job = await (await fetch("https://api.aimlapi.com/v2/video/generations", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "model": "krea/krea-wan-14b/text-to-video",
    "prompt": "A serene timelapse of clouds over a mountain range"
  }),
})).json();

let res;
do {
  await new Promise((r) => setTimeout(r, 5000));
  res = await (await fetch(`https://api.aimlapi.com/v2/video/generations?generation_id=${job.id}`, { headers })).json();
} while (!["completed", "error"].includes(res.status));
console.log(res.video.url);

# submit the generation — the response contains the job "id"
curl -X POST https://api.aimlapi.com/v2/video/generations \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"krea/krea-wan-14b/text-to-video","prompt":"A serene timelapse of clouds over a mountain range"}'

# then poll until status is "completed" — video.url holds the result
curl "https://api.aimlapi.com/v2/video/generations?generation_id={id}" -H "Authorization: Bearer $AIMLAPI_KEY"

OpenAI-compatible — swap the base URL and it works with your existing SDK.