Name: Video 01 Live2D API
Brand: MiniMax

Overview

What is Video 01 Live2D API?

Minimax Video-01 generates high-quality videos from text prompts or image using advanced AI techniques for diverse creative applications.

Technical Specifications
- Supported inputs: Image
- Output: Video

Performance Benchmarks
[embed]

Video 01 Live2D API Pricing
- Pricing on request

Where to Use Video 01 Live2D

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

The model is documented as suited for converting static images or illustrations into animated video, including visually striking content from text prompts or images. It is also described as useful for Live2D-style animation and character animation, including anime and manga character animations with expression and gesture control. It is documented for art animation, such as turning static illustrations into animated sequences while preserving artistic style and detail. It is also described for commercial uses such as e-commerce product showcases, advertising content, and social media engagement.

How to use Video 01 Live2D API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to video-01-live2d.

import requests, time

headers = {"Authorization": "Bearer " + AIMLAPI_KEY}
job = requests.post(
    "https://api.aimlapi.com/v2/video/generations",
    headers=headers,
    json={
      "model": "video-01-live2d",
      "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": "video-01-live2d",
    "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":"video-01-live2d","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.