curl --request POST \
  --url https://gengen.farm/api/gengen/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-image-2.5-flare",
  "prompt": "A cyan greenhouse at sunrise"
}
'

import requests

url = "https://gengen.farm/api/gengen/v1/images/generations"

payload = {
    "model": "gpt-image-2.5-flare",
    "prompt": "A cyan greenhouse at sunrise"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({model: 'gpt-image-2.5-flare', prompt: 'A cyan greenhouse at sunrise'})
};

fetch('https://gengen.farm/api/gengen/v1/images/generations', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "id": "<string>",
  "model": "<string>",
  "status": "succeeded",
  "outputs": {
    "images": [
      "<string>"
    ],
    "expiresAt": "2023-11-07T05:31:56Z"
  }
}

{
  "error_code": "provider.openai_request_failed",
  "error_params": {
    "provider": "openai",
    "providerStatus": 403,
    "providerReason": "organization_verification_required",
    "diagnosticId": "0e41dc0b-15ff-4ce6-b813-200c72199048",
    "service": "openai"
  },
  "error": "OpenAI requires organization verification before this image model can be used."
}