Wan 2.7 Image to Video API

alibaba/wan2.7-i2v
Wan 2.
Output
$0.1 / sec (variable)
Released
Apr 28, 2026

Overview

What is Wan 2.7 Image to Video API?

Wan 2.7 I2V — an image-to-video model by Alibaba Cloud that generates videos from input images. It supports first-frame, first-and-last-frame, and continuation workflows.

Technical Specifications
- Supported inputs: Image
- Output: Video

Performance Benchmarks
[embed]

Wan 2.7 Image to Video API Pricing
- Pricing on request

Where to Use Wan 2.7 Image 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

Product animation: animate product images into motion with camera movement and cinematic effects.

Scene transitions: use a start image and optional end image to create controlled visual transitions between frames.

Social media content: turn static reference images into short clips for Reels, TikTok, and Shorts.

Marketing and advertising: animate product, campaign, and brand images into promotional video content.

How to use Wan 2.7 Image to Video API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to alibaba/wan2.7-i2v.
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-i2v",
      "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-i2v",
    "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-i2v","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.

Wan 2.7 Image to Video API Pricing

TypePrice
Output
$0.1 / sec (variable)

Wan 2.7 Image to Video vs other models

ModelInputOutputContextBest for
$0.1 / sec (variable)
Video generation
$0.2 / sec (variable)
Video generation
$1.95 / 1M tokens
$0.10136 / sec
Video generation
$0.0711 / sec
Cinematic video + native audio

Frequently asked questions

Wan 2.7 Image to Video takes image as input and returns video.

Wan 2.7 Image to Video became available on April 28, 2026.

Wan 2.7 Image to Video is priced at $0.13 / sec (variable).

Wan 2.7 Image to Video is billed per generation — a fixed charge per output rather than by prompt length.

Yes, Wan 2.7 Image to Video accepts image input as well as a text prompt.

Wan 2.7 Image to Video was built by Alibaba Cloud.

Use alibaba/wan2.7-i2v as the model id on AI/ML API.

Yes. Wan 2.7 Image to Video is served through AI/ML API, so the same key and endpoint format used for other models applies.

It supports first-frame, first-and-last-frame, and continuation workflows for generating video from images.

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