Automated IKEA style Brand Video Creation with Veo 3.1 and Nano Banana Pro

Create Stunning Scandinavian-Style Brand Videos with Veo 3.1 and Nano Banana Pro.

 1import requests
 2import time
 3import json
 4
 5api_key = "YOUR_API_KEY"
 6url = "https://api.segmind.com/workflows/6940fa9a1fe46313cef7176c-v2"
 7
 8data = {
 9    "Input_prompt": "An empty, large, sunlit Scandinavian room with white walls and light wood floors\nclean modular Segmind workstation setup with white desks\nincluding gradient Segmind throw blanket (#ff6375 → #7353f8), Segmind-branded side tables, soft glow desk lamps, storage units, floating shelves, wall-mounted Segmind logo panel, abstract tech-inspired art frames in brand colors, minimalist rug, sheer white curtains, and potted plants\n\nDesigned in Segmind’s signature gradient identity — bold, modern, and built for creators.",
10    "Input_Image": "https://segmind-inference-inputs.s3.amazonaws.com/46514496-bf7d-46c5-8531-da6f232b078b-segmind_color_logo.png"
11}
12
13def poll_for_result(poll_url):
14    """Poll the API until the generation is complete"""
15    while True:
16        response = requests.get(
17            poll_url,
18            headers={'Authorization': f'Bearer {api_key}'}
19        )
20        result = response.json()
21
22        if result['status'] == 'COMPLETED':
23            # Parse the output (it's a JSON string)
24            outputs = json.loads(result['output'])
25            return outputs
26        elif result['status'] == 'FAILED':
27            raise Exception(result.get('error', 'Generation failed'))
28
29        # Wait 7 seconds before polling again
30        time.sleep(7)
31
32# Make the initial request
33response = requests.post(
34    url,
35    json=data,
36    headers={
37        'Authorization': f'Bearer {api_key}',
38        'Content-Type': 'application/json'
39    }
40)
41
42if response.status_code == 200:
43    result = response.json()
44    print('Request queued:', result)
45
46    # Start polling for results
47    outputs = poll_for_result(result['poll_url'])
48    print('Generation complete:', outputs)
49else:
50    print(f"Error: {response.status_code}")
51    print(response.text)

API Endpoint

POSThttps://api.segmind.com/workflows/6940fa9a1fe46313cef7176c-v2

Parameters

Input_promptoptional
string

Input Prompt

Default: "An empty, large, sunlit Scandinavian room with white walls and light wood floors\nclean modular Segmind workstation setup with white desks\nincluding gradient Segmind throw blanket (#ff6375 → #7353f8), Segmind-branded side tables, soft glow desk lamps, storage units, floating shelves, wall-mounted Segmind logo panel, abstract tech-inspired art frames in brand colors, minimalist rug, sheer white curtains, and potted plants\n\nDesigned in Segmind’s signature gradient identity — bold, modern, and built for creators."
Input_Imageoptional
string (uri)

Input Image

Default: "https://segmind-inference-inputs.s3.amazonaws.com/46514496-bf7d-46c5-8531-da6f232b078b-segmind_color_logo.png"

Response Format

Returns: Polling-based asynchronous response

Initial request returns a poll_url. Poll every 7 seconds until status is COMPLETED.

Common Error Codes

The API returns standard HTTP status codes. Detailed error messages are provided in the response body.

400

Bad Request

Invalid parameters or request format

401

Unauthorized

Missing or invalid API key

403

Forbidden

Insufficient permissions

404

Not Found

Workflow not found

406

Insufficient Credits

Not enough credits to process request

429

Rate Limited

Too many requests

500

Server Error

Internal server error

502

Bad Gateway

Service temporarily unavailable

504

Timeout

Request timed out