Cinematic Product Video Creation in Urban Landscapes with Seedream 4.0 and Hailuo 2.3

Create stunning promotional videos with hyper-realistic products in cinematic city scenes using Seedream and Hailuo.

 1import requests
 2import time
 3import json
 4
 5api_key = "YOUR_API_KEY"
 6url = "https://api.segmind.com/workflows/691d5e180a5320df261fe941-v1"
 7
 8data = {
 9    "Input_Prompt": "Transform the uploaded photo into a giant, ultra-realistic product placed at a massive scale within a modern city skyline.\nShow the product integrated naturally into the environment — towering over buildings, casting accurate shadows, and interacting with city light and atmosphere.\nCapture everything from a high bird’s-eye cinematic camera angle\n\nInclude realistic reflections, depth, scale, and environmental details such as traffic, rooftops, clouds, and hazy atmosphere for a true megastructure effect.\nRender in 4K, photorealistic quality, optimized for short-form AI video generation With hyper-realistic & cinematic Style",
10    "Input_Image": "https://segmind-inference-inputs.s3.amazonaws.com/e46b2ecb-d79d-4244-98de-b2d9da69133f-4e7b1280-fadf-4de6-a223-ba13da610744.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/691d5e180a5320df261fe941-v1

Parameters

Input_Promptoptional
string

Input Prompt

Default: "Transform the uploaded photo into a giant, ultra-realistic product placed at a massive scale within a modern city skyline.\nShow the product integrated naturally into the environment — towering over buildings, casting accurate shadows, and interacting with city light and atmosphere.\nCapture everything from a high bird’s-eye cinematic camera angle\n\nInclude realistic reflections, depth, scale, and environmental details such as traffic, rooftops, clouds, and hazy atmosphere for a true megastructure effect.\nRender in 4K, photorealistic quality, optimized for short-form AI video generation With hyper-realistic & cinematic Style"
Input_Imageoptional
string (uri)

Input Image

Default: "https://segmind-inference-inputs.s3.amazonaws.com/e46b2ecb-d79d-4244-98de-b2d9da69133f-4e7b1280-fadf-4de6-a223-ba13da610744.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