Wan 3.0 API

import GetimgAI from "getimg-ai";

const client = new GetimgAI();

const submission = await client.videos.generations.create({
    model: "wan-3-0",
    prompt: "A realistic vertical commercial for a pair of black-and-white canvas skate shoes, filmed in a clean concrete skatepark at late afternoon. Open with a macro close-up of the rubber sole touching the ground, followed by detailed shots of the canvas texture, laces and side profile. A skater pushes forward, lands one clean trick and rides past the camera. Keep the product visible and recognizable in every shot. Use low tracking angles, short controlled handheld movement, natural sunlight, hard concrete shadows and restrained black, off-white and muted red accents. The campaign should feel youthful, raw and confident, but still polished and commercially usable. End with the shoes resting on the edge of the ramp in a simple hero shot.",
    aspect_ratio: "16:9",
    resolution: "480p",
    duration: 4
  });
const requestId = submission.id;

// Poll
let result;
while (true) {
  result = await client.videos.generations.retrieve(requestId);

  if (result.status === "completed") break;
  if (result.status === "failed") {
    throw new Error(result.error.message);
  }

  await new Promise((r) => setTimeout(r, 5000));
}

console.log(result.data[0].url);

import GetimgAI from "getimg-ai";

const client = new GetimgAI();

const submission = await client.videos.generations.create({
    model: "wan-3-0",
    prompt: "Animate the scene with subtle camera movement and natural motion.",
    aspect_ratio: "16:9",
    resolution: "480p",
    duration: 4,
    images: [
      {
        url: "https://your-bucket.s3.amazonaws.com/first.png",
        role: "first_frame"
      }
    ]
  });
const requestId = submission.id;

// Poll
let result;
while (true) {
  result = await client.videos.generations.retrieve(requestId);

  if (result.status === "completed") break;
  if (result.status === "failed") {
    throw new Error(result.error.message);
  }

  await new Promise((r) => setTimeout(r, 5000));
}

console.log(result.data[0].url);

import GetimgAI from "getimg-ai";

const client = new GetimgAI();

const submission = await client.videos.generations.create({
    model: "wan-3-0",
    prompt: "Smooth transition from the first to the last frame.",
    aspect_ratio: "16:9",
    resolution: "480p",
    duration: 4,
    images: [
      {
        url: "https://your-bucket.s3.amazonaws.com/first.png",
        role: "first_frame"
      },
      {
        url: "https://your-bucket.s3.amazonaws.com/last.png",
        role: "last_frame"
      }
    ]
  });
const requestId = submission.id;

// Poll
let result;
while (true) {
  result = await client.videos.generations.retrieve(requestId);

  if (result.status === "completed") break;
  if (result.status === "failed") {
    throw new Error(result.error.message);
  }

  await new Promise((r) => setTimeout(r, 5000));
}

console.log(result.data[0].url);

import GetimgAI from "getimg-ai";

const client = new GetimgAI();

const submission = await client.videos.generations.create({
    model: "wan-3-0",
    prompt: "A cinematic shot inspired by the provided reference image.",
    aspect_ratio: "16:9",
    resolution: "480p",
    duration: 4,
    images: [
      {
        url: "https://your-bucket.s3.amazonaws.com/reference.png",
        role: "reference_image"
      }
    ]
  });
const requestId = submission.id;

// Poll
let result;
while (true) {
  result = await client.videos.generations.retrieve(requestId);

  if (result.status === "completed") break;
  if (result.status === "failed") {
    throw new Error(result.error.message);
  }

  await new Promise((r) => setTimeout(r, 5000));
}

console.log(result.data[0].url);