Pruna Test Serverless API
Google Veo 3.1 Fast is an advanced AI model that creates dynamic 1080p videos with perfectly synchronized audio from static images. Google Veo 3.1 Fast is an advanced AI model that creates dynamic 1080p videos with perfectly synchronized audio from static images. It is developed by Google DeepMind and offered through WaveSpeedAI, making it an excellent model to craft smooth, cinematic visuals while preserving the image's visual fidelity and layout. It is capable of producing natural movements, realistic lighting, and synchronized audio: ambient sounds, music, and dialogue with lip-syncing for an authentic immersive experience.
1import requests
2import time
3import json
4
5api_key = "YOUR_API_KEY"
6url = "https://api.segmind.com/workflows/v2/6a7cc051d976cc0eb286ebb6-v1"
7
8data = {
9 "text_5iltm": "editorial fashion photo, model in an oversized charcoal wool coat, studio lighting, grey backdrop"
10}
11
12def poll_for_result(poll_url):
13 """Poll the API until the generation is complete"""
14 while True:
15 response = requests.get(
16 poll_url,
17 headers={'Authorization': f'Bearer {api_key}'}
18 )
19 result = response.json()
20
21 if result['status'] == 'COMPLETED':
22 # Parse the output (it's a JSON string)
23 outputs = json.loads(result['output'])
24 return outputs
25 elif result['status'] == 'FAILED':
26 raise Exception(result.get('error', 'Generation failed'))
27
28 # Wait 7 seconds before polling again
29 time.sleep(7)
30
31# Make the initial request
32response = requests.post(
33 url,
34 json=data,
35 headers={
36 'Authorization': f'Bearer {api_key}',
37 'Content-Type': 'application/json'
38 }
39)
40
41if response.status_code == 200:
42 result = response.json()
43 print('Request queued:', result)
44
45 # Start polling for results
46 outputs = poll_for_result(result['poll_url'])
47 print('Generation complete:', outputs)
48else:
49 print(f"Error: {response.status_code}")
50 print(response.text) 1import requests
2import time
3import json
4
5api_key = "YOUR_API_KEY"
6url = "https://api.segmind.com/workflows/v2/6a7cc051d976cc0eb286ebb6-v1"
7
8data = {
9 "text_5iltm": "editorial fashion photo, model in an oversized charcoal wool coat, studio lighting, grey backdrop"
10}
11
12def poll_for_result(poll_url):
13 """Poll the API until the generation is complete"""
14 while True:
15 response = requests.get(
16 poll_url,
17 headers={'Authorization': f'Bearer {api_key}'}
18 )
19 result = response.json()
20
21 if result['status'] == 'COMPLETED':
22 # Parse the output (it's a JSON string)
23 outputs = json.loads(result['output'])
24 return outputs
25 elif result['status'] == 'FAILED':
26 raise Exception(result.get('error', 'Generation failed'))
27
28 # Wait 7 seconds before polling again
29 time.sleep(7)
30
31# Make the initial request
32response = requests.post(
33 url,
34 json=data,
35 headers={
36 'Authorization': f'Bearer {api_key}',
37 'Content-Type': 'application/json'
38 }
39)
40
41if response.status_code == 200:
42 result = response.json()
43 print('Request queued:', result)
44
45 # Start polling for results
46 outputs = poll_for_result(result['poll_url'])
47 print('Generation complete:', outputs)
48else:
49 print(f"Error: {response.status_code}")
50 print(response.text)API Endpoint
https://api.segmind.com/workflows/v2/6a7cc051d976cc0eb286ebb6-v1Parameters
text_5iltmoptionalstringText 5iltm
"editorial fashion photo, model in an oversized charcoal wool coat, studio lighting, grey backdrop"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.
Bad Request
Invalid parameters or request format
Unauthorized
Missing or invalid API key
Forbidden
Insufficient permissions
Not Found
Workflow not found
Insufficient Credits
Not enough credits to process request
Rate Limited
Too many requests
Server Error
Internal server error
Bad Gateway
Service temporarily unavailable
Timeout
Request timed out