AI-Driven Product Video Creation with Seedance PRO
Transform Text and Images into Stunning Product Videos with Seedance PRO.
~$0.3487
1import requests
2import time
3import json
4
5api_key = "YOUR_API_KEY"
6url = "https://api.segmind.com/workflows/691b0aa30a5320df261fe6fa-v1"
7
8data = {
9 "Prompt_Input": "Generate an 8-second 4K ultra-realistic macro cinematic product video.\nThe video should reveal the product with macro close-ups inside adaptive AI-generated lifestyle environments.\n\nStyle:\nHyper-realistic, premium, clean, cinematic lighting, shallow depth of field, crisp micro-details.\n\nCamera & Motion (smooth + robotic):\n\nSlow macro push-in\n\nPrecise arc movement around the product\n\nSharp depth-of-field transitions\n\nSeamless cut transitions between environments\n\nScene Flow (8 seconds):\n\n0–2s: Extreme macro close-up of texture or logo; soft lighting; shallow DoF.\n\n2–4s: Camera pulls back slightly; first environment forms around the product (e.g., bathroom, desk, kitchen, outdoor—AI adaptive).\n\n4–6s: Cut to another macro angle; showcase a key detail with reflective highlights.\n\n6–8s: Final hero shot with slow rotation; premium minimal environment; clean background.\n\nQuality:\n4K resolution, photoreal materials, realistic reflections, micro-detail clarity, cinematic look.\n\nOutput Style:\nUltra-clean, premium product showcase with lifestyle environment transitions.",
10 "image_Input": "https://segmind-inference-inputs.s3.amazonaws.com/116c7d7a-5d47-454a-9fce-13d6544bebcf-97a15fd5-07a9-4518-86f8-7d6676b6c26a.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/691b0aa30a5320df261fe6fa-v1"
7
8data = {
9 "Prompt_Input": "Generate an 8-second 4K ultra-realistic macro cinematic product video.\nThe video should reveal the product with macro close-ups inside adaptive AI-generated lifestyle environments.\n\nStyle:\nHyper-realistic, premium, clean, cinematic lighting, shallow depth of field, crisp micro-details.\n\nCamera & Motion (smooth + robotic):\n\nSlow macro push-in\n\nPrecise arc movement around the product\n\nSharp depth-of-field transitions\n\nSeamless cut transitions between environments\n\nScene Flow (8 seconds):\n\n0–2s: Extreme macro close-up of texture or logo; soft lighting; shallow DoF.\n\n2–4s: Camera pulls back slightly; first environment forms around the product (e.g., bathroom, desk, kitchen, outdoor—AI adaptive).\n\n4–6s: Cut to another macro angle; showcase a key detail with reflective highlights.\n\n6–8s: Final hero shot with slow rotation; premium minimal environment; clean background.\n\nQuality:\n4K resolution, photoreal materials, realistic reflections, micro-detail clarity, cinematic look.\n\nOutput Style:\nUltra-clean, premium product showcase with lifestyle environment transitions.",
10 "image_Input": "https://segmind-inference-inputs.s3.amazonaws.com/116c7d7a-5d47-454a-9fce-13d6544bebcf-97a15fd5-07a9-4518-86f8-7d6676b6c26a.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/691b0aa30a5320df261fe6fa-v1Parameters
Prompt_InputoptionalstringPrompt Input
Default:
"Generate an 8-second 4K ultra-realistic macro cinematic product video.\nThe video should reveal the product with macro close-ups inside adaptive AI-generated lifestyle environments.\n\nStyle:\nHyper-realistic, premium, clean, cinematic lighting, shallow depth of field, crisp micro-details.\n\nCamera & Motion (smooth + robotic):\n\nSlow macro push-in\n\nPrecise arc movement around the product\n\nSharp depth-of-field transitions\n\nSeamless cut transitions between environments\n\nScene Flow (8 seconds):\n\n0–2s: Extreme macro close-up of texture or logo; soft lighting; shallow DoF.\n\n2–4s: Camera pulls back slightly; first environment forms around the product (e.g., bathroom, desk, kitchen, outdoor—AI adaptive).\n\n4–6s: Cut to another macro angle; showcase a key detail with reflective highlights.\n\n6–8s: Final hero shot with slow rotation; premium minimal environment; clean background.\n\nQuality:\n4K resolution, photoreal materials, realistic reflections, micro-detail clarity, cinematic look.\n\nOutput Style:\nUltra-clean, premium product showcase with lifestyle environment transitions."image_Inputoptionalstring (uri)Image Input
Default:
"https://segmind-inference-inputs.s3.amazonaws.com/116c7d7a-5d47-454a-9fce-13d6544bebcf-97a15fd5-07a9-4518-86f8-7d6676b6c26a.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