इमेज से वीडियो

// npm install @krea-ai/sdk
import { openAsBlob } from "node:fs";
import { Krea } from "@krea-ai/sdk";

const krea = new Krea({ apiKey: process.env.KREA_API_KEY });

// Option 1: Upload a local file and use the hosted asset URL
const file = await openAsBlob("./input-image.jpg", { type: "image/jpeg" });
const asset = await krea.assets.upload(file, {
  description: "Input image",
});
const imageUrl = asset.image_url;

// Option 2: Using image URL
// const imageUrl = "https://example.com/input-image.jpg";

import requests

API_BASE = "https://api.krea.ai"
API_TOKEN = "YOUR_API_TOKEN"

# Option 1: Upload a local file and use the hosted asset URL
with open("input-image.jpg", "rb") as image_file:
    upload = requests.post(
        f"{API_BASE}/assets",
        headers={"Authorization": f"Bearer {API_TOKEN}"},
        files={"file": ("input-image.jpg", image_file, "image/jpeg")},
        data={"description": "Input image"},
    )
upload.raise_for_status()
image_url = upload.json()["image_url"]

# Option 2: Using image URL
# image_url = "https://example.com/input-image.jpg"

// npm install @krea-ai/sdk
import { Krea } from "@krea-ai/sdk";

const krea = new Krea({ apiKey: process.env.KREA_API_KEY });

const job = await krea.video("kling/kling-2.5", {
  start_image: imageUrl,
  prompt: "gentle camera pan from left to right, subtle depth",
  duration: 5,
  aspect_ratio: "16:9"
});

console.log(`Job ID: ${job.job_id}`);

curl -X POST https://api.krea.ai/generate/video/kling/kling-2.5 \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "start_image": "https://example.com/input-image.jpg",
    "prompt": "gentle camera pan from left to right, subtle depth",
    "duration": 5,
    "aspect_ratio": "16:9"
  }'

response = requests.post(
    f"{API_BASE}/generate/video/kling/kling-2.5",
    headers={
        "Authorization": f"Bearer {API_TOKEN}",
        "Content-Type": "application/json"
    },
    json={
        "start_image": image_url,
        "prompt": "gentle camera pan from left to right, subtle depth",
        "duration": 5,
        "aspect_ratio": "16:9"
    }
)

job = response.json()
print(f"Job ID: {job['job_id']}")

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "net/http"
)

func main() {
    apiBase := "https://api.krea.ai"
    apiToken := "YOUR_API_TOKEN"

    payload := map[string]interface{}{
        "start_image": "https://example.com/input-image.jpg",
        "prompt": "gentle camera pan from left to right, subtle depth",
        "duration": 5,
        "aspect_ratio": "16:9",
    }

    jsonData, _ := json.Marshal(payload)
    req, _ := http.NewRequest("POST", apiBase+"/generate/video/kling/kling-2.5", bytes.NewBuffer(jsonData))
    req.Header.Set("Authorization", "Bearer "+apiToken)
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, _ := client.Do(req)
    defer resp.Body.Close()

    var job map[string]interface{}
    json.NewDecoder(resp.Body).Decode(&job)
    fmt.Printf("Job ID: %s\n", job["job_id"])
}

// npm install @krea-ai/sdk
import { Krea } from "@krea-ai/sdk";

const krea = new Krea({ apiKey: process.env.KREA_API_KEY });

async function waitForVideo(jobId) {
  const completed = await krea.jobs.wait(jobId, { intervalMs: 5000 });
  return completed.result.urls[0];
}

const videoUrl = await waitForVideo(job.job_id);
console.log(`Video ready: ${videoUrl}`);

curl -X GET https://api.krea.ai/jobs/YOUR_JOB_ID \
  -H "Authorization: Bearer YOUR_API_TOKEN"

import time

def wait_for_video(job_id):
    while True:
        response = requests.get(
            f"{API_BASE}/jobs/{job_id}",
            headers={"Authorization": f"Bearer {API_TOKEN}"}
        )
        job = response.json()

        if job["status"] == "completed":
            return job["result"]["urls"][0]
        if job["status"] in ("failed", "cancelled"):
            raise Exception(f"Job failed: {job['status']}")

        # Show progress if available
        if "progress" in job:
            print(f"Progress: {job['progress']}%")
        else:
            print(f"Status: {job['status']}")

        time.sleep(5)

video_url = wait_for_video(job["job_id"])
print(f"Video ready: {video_url}")

func waitForVideo(jobID string) (string, error) {
    for {
        req, _ := http.NewRequest("GET", apiBase+"/jobs/"+jobID, nil)
        req.Header.Set("Authorization", "Bearer "+apiToken)

        resp, _ := client.Do(req)
        var job map[string]interface{}
        json.NewDecoder(resp.Body).Decode(&job)
        resp.Body.Close()

        switch job["status"] {
        case "completed":
            result := job["result"].(map[string]interface{})
            urls := result["urls"].([]interface{})
            return urls[0].(string), nil
        case "failed", "cancelled":
            return "", fmt.Errorf("job failed: %s", job["status"])
        }

        // Show progress if available
        if progress, ok := job["progress"]; ok {
            fmt.Printf("Progress: %.0f%%\n", progress)
        } else {
            fmt.Printf("Status: %s\n", job["status"])
        }

        time.Sleep(5 * time.Second)
    }
}