Animate an image

import base64, time, requests

BASE = "https://api.deepshi.ai/v1"
headers = {"Authorization": "Bearer YOUR_DEEPSHI_API_KEY"}

# 1. generate the still
img = requests.post(f"{BASE}/images/generations", headers=headers, json={
    "model": "deepshi-banana-pro",
    "prompt": "a tiny paper boat on a rain-soaked street at dusk, cinematic light",
    "width": 1280,
    "height": 720,
}).json()

b64 = img["data"][0]["b64_json"]
open("still.png", "wb").write(base64.b64decode(b64))
print("saved still.png, cost:", img["usage"]["cost"]["total_cost"])

# 2. animate it (the prompt describes motion, not the scene)
job = requests.post(f"{BASE}/videos", headers=headers, json={
    "model": "veo3.1-fast",
    "prompt": "the boat drifts forward as rain ripples the water, camera slowly pulls back",
    "input_reference": f"data:image/png;base64,{b64}",
    "resolution": "720p",
    "duration": 4,
}).json()

# 3. poll, then download
while job["status"] not in ("completed", "failed"):
    time.sleep(5)
    job = requests.get(f"{BASE}/videos/{job['id']}", headers=headers).json()

if job["status"] == "failed":
    raise SystemExit(job.get("error"))

url = job["videos"][0]["url"]
open("clip.mp4", "wb").write(requests.get(url).content)
print("saved clip.mp4")

import { writeFileSync } from "node:fs";

const BASE = "https://api.deepshi.ai/v1";
const headers = {
  Authorization: "Bearer YOUR_DEEPSHI_API_KEY",
  "Content-Type": "application/json",
};

// 1. generate the still
const img = await (await fetch(`${BASE}/images/generations`, {
  method: "POST",
  headers,
  body: JSON.stringify({
    model: "deepshi-banana-pro",
    prompt: "a tiny paper boat on a rain-soaked street at dusk, cinematic light",
    width: 1280,
    height: 720,
  }),
})).json();

const b64 = img.data[0].b64_json;
writeFileSync("still.png", Buffer.from(b64, "base64"));
console.log("saved still.png, cost:", img.usage.cost.total_cost);

// 2. animate it (the prompt describes motion, not the scene)
let job = await (await fetch(`${BASE}/videos`, {
  method: "POST",
  headers,
  body: JSON.stringify({
    model: "veo3.1-fast",
    prompt: "the boat drifts forward as rain ripples the water, camera slowly pulls back",
    input_reference: `data:image/png;base64,${b64}`,
    resolution: "720p",
    duration: 4,
  }),
})).json();

// 3. poll, then download
while (!["completed", "failed"].includes(job.status)) {
  await new Promise((r) => setTimeout(r, 5000));
  job = await (await fetch(`${BASE}/videos/${job.id}`, { headers })).json();
}
if (job.status === "failed") throw new Error(JSON.stringify(job.error));

const buf = Buffer.from(await (await fetch(job.videos[0].url)).arrayBuffer());
writeFileSync("clip.mp4", buf);
console.log("saved clip.mp4");