Photorealistic Image Generation with GPT Image 2 Serverless API
Generate Stunning Photorealistic Images from Descriptive Text Prompts using GPT Image 2.
~$0.1
1import requests
2import time
3import json
4
5api_key = "YOUR_API_KEY"
6url = "https://api.segmind.com/workflows/69f64e665456d2c942098b3a-v1"
7
8data = {
9 "text_2rpv9": "A photorealistic, cinematic shot of a cozy independent bookstore in Mumbai at golden hour. Warm afternoon sunlight streams through a tall front window onto wooden shelves packed with books; book spines are clearly visible with titles in English and Hindi Devanagari script. In the foreground, a handwritten chalkboard A-frame easel reads, in clean legible chalk lettering: first line 'मुंबई पुस्तक भंडार', second line 'Mumbai Book Store', and a smaller third line 'Open Daily 9 am – 9 pm'. Shallow depth of field, shot on a full-frame camera at 35mm f/2.0, ultra-realistic detail, natural color grading, dust motes in sunlight, film grain."
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) 1import requests
2import time
3import json
4
5api_key = "YOUR_API_KEY"
6url = "https://api.segmind.com/workflows/69f64e665456d2c942098b3a-v1"
7
8data = {
9 "text_2rpv9": "A photorealistic, cinematic shot of a cozy independent bookstore in Mumbai at golden hour. Warm afternoon sunlight streams through a tall front window onto wooden shelves packed with books; book spines are clearly visible with titles in English and Hindi Devanagari script. In the foreground, a handwritten chalkboard A-frame easel reads, in clean legible chalk lettering: first line 'मुंबई पुस्तक भंडार', second line 'Mumbai Book Store', and a smaller third line 'Open Daily 9 am – 9 pm'. Shallow depth of field, shot on a full-frame camera at 35mm f/2.0, ultra-realistic detail, natural color grading, dust motes in sunlight, film grain."
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
POST
https://api.segmind.com/workflows/69f64e665456d2c942098b3a-v1Parameters
text_2rpv9optionalstringText 2rpv9
Default:
"A photorealistic, cinematic shot of a cozy independent bookstore in Mumbai at golden hour. Warm afternoon sunlight streams through a tall front window onto wooden shelves packed with books; book spines are clearly visible with titles in English and Hindi Devanagari script. In the foreground, a handwritten chalkboard A-frame easel reads, in clean legible chalk lettering: first line 'मुंबई पुस्तक भंडार', second line 'Mumbai Book Store', and a smaller third line 'Open Daily 9 am – 9 pm'. Shallow depth of field, shot on a full-frame camera at 35mm f/2.0, ultra-realistic detail, natural color grading, dust motes in sunlight, film grain."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