AI Comic Illustration Generation with Nano Banana and Bria
Create Stunning Comic Illustrations from Text and Images with Nano Banana and Bria.
~$0.0732
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) 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
POST
https://api.segmind.com/workflows/691726290a5320df261fe441-v1Parameters
Input_promptoptionalstringInput 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_Imageoptionalstring (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