AI Vector Elements Generator
Effortlessly create intricate vector designs from text descriptions for impactful visual storytelling.
~49.89s
~$0.1767
1import requests
2import time
3import json
4
5api_key = "YOUR_API_KEY"
6url = "https://api.segmind.com/workflows/6824d299bb2d5d8c355dc000-v2"
7
8data = {
9 "prompt": "Create a detailed vector mandala using an array of intricate botanical elements, incorporating intertwining vines, exotic flowers, and delicate leaves in a harmonious circular pattern."
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/6824d299bb2d5d8c355dc000-v2"
7
8data = {
9 "prompt": "Create a detailed vector mandala using an array of intricate botanical elements, incorporating intertwining vines, exotic flowers, and delicate leaves in a harmonious circular pattern."
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
POST
https://api.segmind.com/workflows/6824d299bb2d5d8c355dc000-v2
Parameters
prompt
optionalstring
Prompt
Default:
"Create a detailed vector mandala using an array of intricate botanical elements, incorporating intertwining vines, exotic flowers, and delicate leaves in a harmonious circular pattern."
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