テキストから動画 vs 画像から動画：5つのAPIモードを解説

export REVANA_API_KEY="sr_live_..."

# 1. Submit the job (returns 202 with the generation id)
curl https://api.revana.si/v1/generations \
  -H "Authorization: Bearer $REVANA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "seedance-2.0",
    "input": {
      "prompt": "The coffee in the cup starts to steam, and a hand reaches in from the right and lifts the cup off the table. Morning light, quiet cafe ambience.",
      "image_url": "https://example.com/coffee.jpg",
      "resolution": "720p",
      "duration": 5,
      "aspect_ratio": "adaptive",
      "audio": true
    },
    "max_cost_usd": 2
  }'

# 2. Poll with the id from step 1 until status is "succeeded" or "failed"
curl https://api.revana.si/v1/generations/gen_01JBX7Q2M4 \
  -H "Authorization: Bearer $REVANA_API_KEY"

import os
import time

import requests

API = "https://api.revana.si/v1"
HEADERS = {"Authorization": f"Bearer {os.environ['REVANA_API_KEY']}"}

resp = requests.post(f"{API}/generations", headers=HEADERS, json={
    "model": "seedance-2.0",
    "input": {
        "prompt": "The coffee in the cup starts to steam, and a hand reaches in from the right and lifts the cup off the table. Morning light, quiet cafe ambience.",
        "image_url": "https://example.com/coffee.jpg",
        "resolution": "720p",
        "duration": 5,
        "aspect_ratio": "adaptive",
        "audio": True,
    },
    "max_cost_usd": 2,
})
resp.raise_for_status()
job = resp.json()

while job["status"] in ("queued", "running"):
    time.sleep(5)
    job = requests.get(f"{API}/generations/{job['id']}", headers=HEADERS).json()

if job["status"] == "succeeded":
    print(job["output"]["urls"], job["cost_usd"])
else:
    print("Failed:", job["error"])

// Node 18 or later. Save as generate.mjs and run: node generate.mjs
const API = "https://api.revana.si/v1";
const headers = {
  Authorization: `Bearer ${process.env.REVANA_API_KEY}`,
  "Content-Type": "application/json",
};

const res = await fetch(`${API}/generations`, {
  method: "POST",
  headers,
  body: JSON.stringify({
    model: "seedance-2.0",
    input: {
      prompt: "The coffee in the cup starts to steam, and a hand reaches in from the right and lifts the cup off the table. Morning light, quiet cafe ambience.",
      image_url: "https://example.com/coffee.jpg",
      resolution: "720p",
      duration: 5,
      aspect_ratio: "adaptive",
      audio: true,
    },
    max_cost_usd: 2,
  }),
});
if (!res.ok) throw new Error(`${res.status} ${await res.text()}`);
let job = await res.json();

while (job.status === "queued" || job.status === "running") {
  await new Promise((r) => setTimeout(r, 5000));
  job = await (await fetch(`${API}/generations/${job.id}`, { headers })).json();
}

if (job.status === "succeeded") console.log(job.output.urls, job.cost_usd);
else console.error("Failed:", job.error);

{
  "model": "kling-3.0",
  "input": {
    "prompt": "Time-lapse: the empty plot fills with a small wooden cabin as the camera holds still, clouds racing overhead",
    "image_url": "https://example.com/plot-empty.jpg",
    "end_image_url": "https://example.com/plot-cabin.jpg",
    "resolution": "1080p",
    "duration": 5,
    "audio": false
  },
  "max_cost_usd": 1
}

{
  "model": "veo-3.1-fast",
  "input": {
    "prompt": "The man from the first image walks into the bakery from the second image, picks up a loaf and smiles at the camera. Bell over the door, quiet chatter.",
    "image_urls": [
      "https://example.com/man.jpg",
      "https://example.com/bakery.jpg"
    ],
    "resolution": "720p",
    "duration": 8,
    "aspect_ratio": "16:9",
    "audio": true
  },
  "max_cost_usd": 1.5
}