Cinematic ASMR Video Creation from Images with Google Veo 3.1
Create Hyper-Realistic ASMR Product Videos from Static Images using Google Veo 3.1.
~$1.0689
1import requests
2import time
3import json
4
5api_key = "YOUR_API_KEY"
6url = "https://api.segmind.com/workflows/68f1ede82431ac976656e999-v1"
7
8data = {
9 "Input_Prompt": "A hyper-realistic cinematic ASMR ad video featuring a person interacting gently with the product in a quiet, immersive atmosphere. The focus is on natural sounds — soft tapping, fabric movement, gentle breathing, subtle whispers, and environmental ambience.\n\nThe person (same face as reference if provided) sits in a softly lit minimal setting, maintaining calm, deliberate movements. Each gesture — touching, unboxing, or applying the product — is slow, intentional, and deeply sensory.\n\nCamera: macro close-ups, shallow depth of field, slow-motion inserts.\nLighting: warm, diffused, with subtle highlights on textures.\nAudio focus: clean ASMR sound capture — no background music.\nMood: soothing, intimate, sensory-rich, luxurious yet natural.",
10 "Image_Input": "https://segmind-inference-inputs.s3.amazonaws.com/4e356b13-b996-4367-b86b-f3f9f970ceb7-product.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/68f1ede82431ac976656e999-v1"
7
8data = {
9 "Input_Prompt": "A hyper-realistic cinematic ASMR ad video featuring a person interacting gently with the product in a quiet, immersive atmosphere. The focus is on natural sounds — soft tapping, fabric movement, gentle breathing, subtle whispers, and environmental ambience.\n\nThe person (same face as reference if provided) sits in a softly lit minimal setting, maintaining calm, deliberate movements. Each gesture — touching, unboxing, or applying the product — is slow, intentional, and deeply sensory.\n\nCamera: macro close-ups, shallow depth of field, slow-motion inserts.\nLighting: warm, diffused, with subtle highlights on textures.\nAudio focus: clean ASMR sound capture — no background music.\nMood: soothing, intimate, sensory-rich, luxurious yet natural.",
10 "Image_Input": "https://segmind-inference-inputs.s3.amazonaws.com/4e356b13-b996-4367-b86b-f3f9f970ceb7-product.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/68f1ede82431ac976656e999-v1
Parameters
Input_Prompt
optionalstring
Input Prompt
Default:
"A hyper-realistic cinematic ASMR ad video featuring a person interacting gently with the product in a quiet, immersive atmosphere. The focus is on natural sounds — soft tapping, fabric movement, gentle breathing, subtle whispers, and environmental ambience.\n\nThe person (same face as reference if provided) sits in a softly lit minimal setting, maintaining calm, deliberate movements. Each gesture — touching, unboxing, or applying the product — is slow, intentional, and deeply sensory.\n\nCamera: macro close-ups, shallow depth of field, slow-motion inserts.\nLighting: warm, diffused, with subtle highlights on textures.\nAudio focus: clean ASMR sound capture — no background music.\nMood: soothing, intimate, sensory-rich, luxurious yet natural."
Image_Input
optionalstring (uri)
Image Input
Default:
"https://segmind-inference-inputs.s3.amazonaws.com/4e356b13-b996-4367-b86b-f3f9f970ceb7-product.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