AI Comic Illustration Generation with Nano Banana and Bria

Create Stunning Comic Illustrations from Text and Images with Nano Banana and Bria.

 1import requests
 2import time
 3import json
 4
 5api_key = "YOUR_API_KEY"
 6url = "https://api.segmind.com/workflows/691726290a5320df261fe441-v1"
 7
 8data = {
 9    "Input_prompt": "A highly detailed, glossy digital illustration in the style of urban street art caricature, with a muted and desaturated color palette. Subject: A young person (image should be exactly like uploaded as subject) with a calm expression. The person is dressed in exaggerated 90s/early 2000s hip-hop fashion Pose: Standing full-body, arms crossed, leaning against a wall. Background: A faded mustard-yellow city wall with muted, soft purple bubble graffiti forming the word \"jack\" that blends more organically into the background. Art Style: Highly stylized, cartoonish proportions, sharp details, gentle specular highlights, volumetric lighting, smooth rendering, cinematic composition.",
10    "Input_Image": "https://segmind-inference-inputs.s3.amazonaws.com/23d56c3e-36ed-49fd-88e6-71b11df37dc4-31933.jpg"
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/691726290a5320df261fe441-v1

Parameters

Input_promptoptional
string

Input Prompt

Default: "A highly detailed, glossy digital illustration in the style of urban street art caricature, with a muted and desaturated color palette. Subject: A young person (image should be exactly like uploaded as subject) with a calm expression. The person is dressed in exaggerated 90s/early 2000s hip-hop fashion Pose: Standing full-body, arms crossed, leaning against a wall. Background: A faded mustard-yellow city wall with muted, soft purple bubble graffiti forming the word \"jack\" that blends more organically into the background. Art Style: Highly stylized, cartoonish proportions, sharp details, gentle specular highlights, volumetric lighting, smooth rendering, cinematic composition."
Input_Imageoptional
string (uri)

Input Image

Default: "https://segmind-inference-inputs.s3.amazonaws.com/23d56c3e-36ed-49fd-88e6-71b11df37dc4-31933.jpg"

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