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.
~$0.5651
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) 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
POST
https://api.segmind.com/workflows/691d5e180a5320df261fe941-v1Parameters
Input_PromptoptionalstringInput 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_Imageoptionalstring (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