Apply Material to Text Logo Animation and Image Enhancement with Nano Banana & Veo 3.1

 1import requests
 2import time
 3import json
 4
 5api_key = "YOUR_API_KEY"
 6url = "https://api.segmind.com/workflows/690c51e00a5320df261fdc87-v3"
 7
 8data = {
 9    "image_Input": [
10        "https://segmind-inference-inputs.s3.amazonaws.com/5a8723de-c622-4836-bc6d-4bbe584dae01-SEGMIND-01.jpg",
11        "https://segmind-inference-inputs.s3.amazonaws.com/bd479d93-c3bf-4436-8013-a0fb4db5c5ae-ornate-brass3_preview.jpg"
12    ],
13    "str_1vism": "Apply the material from Image 2 to the logo in Image 1, present it as a 3D object, render in a C4D-like style, with a solid-color background."
14}
15
16def poll_for_result(poll_url):
17    """Poll the API until the generation is complete"""
18    while True:
19        response = requests.get(
20            poll_url,
21            headers={'Authorization': f'Bearer {api_key}'}
22        )
23        result = response.json()
24
25        if result['status'] == 'COMPLETED':
26            # Parse the output (it's a JSON string)
27            outputs = json.loads(result['output'])
28            return outputs
29        elif result['status'] == 'FAILED':
30            raise Exception(result.get('error', 'Generation failed'))
31
32        # Wait 7 seconds before polling again
33        time.sleep(7)
34
35# Make the initial request
36response = requests.post(
37    url,
38    json=data,
39    headers={
40        'Authorization': f'Bearer {api_key}',
41        'Content-Type': 'application/json'
42    }
43)
44
45if response.status_code == 200:
46    result = response.json()
47    print('Request queued:', result)
48
49    # Start polling for results
50    outputs = poll_for_result(result['poll_url'])
51    print('Generation complete:', outputs)
52else:
53    print(f"Error: {response.status_code}")
54    print(response.text)