AI 3D Billboard Animation with Nano Banana Pro and Veo 3.1
Create Dynamic 3D Animated Billboards from Images and Text Prompts using Nano Banana Pro and Veo 3.1.
~$2.2683
1import requests
2import time
3import json
4
5api_key = "YOUR_API_KEY"
6url = "https://api.segmind.com/workflows/693902581fe46313cef71364-v1"
7
8data = {
9 "Input_Image": "https://segmind-inference-inputs.s3.amazonaws.com/1f9737be-60b6-4e64-9042-b2919181fc1c-e4de75f5-2ab1-4c4c-b2af-c6a3fe106206.png",
10 "Input_Prompt": "A giant fashion 3D billboard on the side of a modern building in a busy urban street. On the 3D billboard is a confident \nmodel (exactly like attached image). pose is fierce and elegant with one foot or hand slightly outward the frame, as if the shoe or hand is come out of the 3d billboard. Next to the model, bold text styled like a luxury fashion slogan reads: “LIMITED EDITION: VINTAGE RADIO FOR SALE. ” with tagline \"VINTAGE MAKES IT BETTER\". The 3D billboard mixes high-fashion elegance with humorous Gen-Z energy. Photorealistic, stylish, culturally modern, and meme-inspired. Vertical 3:4. "
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/693902581fe46313cef71364-v1"
7
8data = {
9 "Input_Image": "https://segmind-inference-inputs.s3.amazonaws.com/1f9737be-60b6-4e64-9042-b2919181fc1c-e4de75f5-2ab1-4c4c-b2af-c6a3fe106206.png",
10 "Input_Prompt": "A giant fashion 3D billboard on the side of a modern building in a busy urban street. On the 3D billboard is a confident \nmodel (exactly like attached image). pose is fierce and elegant with one foot or hand slightly outward the frame, as if the shoe or hand is come out of the 3d billboard. Next to the model, bold text styled like a luxury fashion slogan reads: “LIMITED EDITION: VINTAGE RADIO FOR SALE. ” with tagline \"VINTAGE MAKES IT BETTER\". The 3D billboard mixes high-fashion elegance with humorous Gen-Z energy. Photorealistic, stylish, culturally modern, and meme-inspired. Vertical 3:4. "
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/693902581fe46313cef71364-v1Parameters
Input_Imageoptionalstring (uri)Input Image
Default:
"https://segmind-inference-inputs.s3.amazonaws.com/1f9737be-60b6-4e64-9042-b2919181fc1c-e4de75f5-2ab1-4c4c-b2af-c6a3fe106206.png"Input_PromptoptionalstringInput Prompt
Default:
"A giant fashion 3D billboard on the side of a modern building in a busy urban street. On the 3D billboard is a confident \nmodel (exactly like attached image). pose is fierce and elegant with one foot or hand slightly outward the frame, as if the shoe or hand is come out of the 3d billboard. Next to the model, bold text styled like a luxury fashion slogan reads: “LIMITED EDITION: VINTAGE RADIO FOR SALE. ” with tagline \"VINTAGE MAKES IT BETTER\". The 3D billboard mixes high-fashion elegance with humorous Gen-Z energy. Photorealistic, stylish, culturally modern, and meme-inspired. Vertical 3:4. "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