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)

API Endpoint

POSThttps://api.segmind.com/workflows/69007ab2d526331b8045993e-v1

Parameters

image_2ukgqoptional
string (uri)

Image 2ukgq

Default: "https://segmind-inference-inputs.s3.amazonaws.com/b9277a9b-164e-47d3-85a3-f9396deb4486-ai-generated-8561072_1280.png"
str_ovkdhkoptional
string

Str 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