Vibrant Portraits and Animated Videos Creation using Nano Banana and Seedance Pro
Transform Images into Lifelike Portraits and Animations with Nano Banana and Seedance Pro.
~$0.3829
1import requests
2import time
3import json
4
5api_key = "YOUR_API_KEY"
6url = "https://api.segmind.com/workflows/69007ab2d526331b8045993e-v1"
7
8data = {
9 "image_2ukgq": "https://segmind-inference-inputs.s3.amazonaws.com/b9277a9b-164e-47d3-85a3-f9396deb4486-ai-generated-8561072_1280.png",
10 "str_ovkdhk": "Create a vibrant, high-detail digital portrait illustration of a character in reference, in the style of a modern vector comic. Emphasize clean lines, strong shadows, and reflective highlights on the face. Add dynamic brush stroke textures and abstract dark background elements like splashes and dots. Make the expression cool and charismatic. Include lighting contrast between warm and cool tones on the face.\n\nMAINTAIN THE EXACT FACIAL AND BODY STUCTURE AS IT IS"
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/69007ab2d526331b8045993e-v1"
7
8data = {
9 "image_2ukgq": "https://segmind-inference-inputs.s3.amazonaws.com/b9277a9b-164e-47d3-85a3-f9396deb4486-ai-generated-8561072_1280.png",
10 "str_ovkdhk": "Create a vibrant, high-detail digital portrait illustration of a character in reference, in the style of a modern vector comic. Emphasize clean lines, strong shadows, and reflective highlights on the face. Add dynamic brush stroke textures and abstract dark background elements like splashes and dots. Make the expression cool and charismatic. Include lighting contrast between warm and cool tones on the face.\n\nMAINTAIN THE EXACT FACIAL AND BODY STUCTURE AS IT IS"
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/69007ab2d526331b8045993e-v1Parameters
image_2ukgqoptionalstring (uri)Image 2ukgq
Default:
"https://segmind-inference-inputs.s3.amazonaws.com/b9277a9b-164e-47d3-85a3-f9396deb4486-ai-generated-8561072_1280.png"str_ovkdhkoptionalstringStr Ovkdhk
Default:
"Create a vibrant, high-detail digital portrait illustration of a character in reference, in the style of a modern vector comic. Emphasize clean lines, strong shadows, and reflective highlights on the face. Add dynamic brush stroke textures and abstract dark background elements like splashes and dots. Make the expression cool and charismatic. Include lighting contrast between warm and cool tones on the face.\n\nMAINTAIN THE EXACT FACIAL AND BODY STUCTURE AS IT IS"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