AI Video Creation with Nano Banana Pro and Wan 2.2

Rapidly produce high-quality videos from textual descriptions and images using Nano Banana Pro and Wan 2.2.

 1import requests
 2import time
 3import json
 4
 5api_key = "YOUR_API_KEY"
 6url = "https://api.segmind.com/workflows/6936691b1fe46313cef71194-v1"
 7
 8data = {
 9    "str_z4lwwf": "edge lighting, low-contrast, medium close-up shot, left-heavy composition, clean single shot, warm colors, soft lighting, side lighting, day time.A young girl sits in a field of tall grass with two fluffy donkeys standing behind her. The girl, about eleven or twelve years old, is wearing a simple floral dress and has her hair in two pigtails, with an innocent smile on her face. She sits cross-legged, gently touching the wildflowers beside her. The small donkeys are sturdy, their ears perked up as they look curiously toward the camera. Sunlight bathes the field, creating a warm and natural scene."
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

POSThttps://api.segmind.com/workflows/6936691b1fe46313cef71194-v1

Parameters

str_z4lwwfoptional
string

Str Z4lwwf

Default: "edge lighting, low-contrast, medium close-up shot, left-heavy composition, clean single shot, warm colors, soft lighting, side lighting, day time.A young girl sits in a field of tall grass with two fluffy donkeys standing behind her. The girl, about eleven or twelve years old, is wearing a simple floral dress and has her hair in two pigtails, with an innocent smile on her face. She sits cross-legged, gently touching the wildflowers beside her. The small donkeys are sturdy, their ears perked up as they look curiously toward the camera. Sunlight bathes the field, creating a warm and natural scene."

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