Name: Wan 2.7 Text to Video API
Brand: Alibaba Cloud

Overview

What is Wan 2.7 Text to Video API?

Wan 2.7 T2V — a text-to-video model by Alibaba Cloud that generates multi-shot videos from prompts. It supports cinematic visuals, prompt control, and audio integration.

Technical Specifications
- Supported inputs: Text
- Output: Video

Performance Benchmarks
[embed]

Wan 2.7 Text to Video API Pricing
- Pricing on request

Where to Use Wan 2.7 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

Text-to-video generation with audio sync and multi-shot narrative is documented for this model, which makes it suited to creating short cinematic sequences that move across multiple shots with synchronized sound.

It is documented as ideal for music videos, where the model can automatically switch between shots and support audio-video synchronization.

It is also documented for cinematic narratives, since the provider specifically describes the model as supporting multi-shot narrative generation.

The documentation also says it generates smooth videos from text prompts, so it is suited to prompt-driven short video creation from written descriptions.

How to use Wan 2.7 Text to Video API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to alibaba/wan2.7-t2v.

import requests, time

headers = {"Authorization": "Bearer " + AIMLAPI_KEY}
job = requests.post(
    "https://api.aimlapi.com/v2/video/generations",
    headers=headers,
    json={
      "model": "alibaba/wan2.7-t2v",
      "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": "alibaba/wan2.7-t2v",
    "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":"alibaba/wan2.7-t2v","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.