{"id":154220,"date":"2023-11-08T16:11:33","date_gmt":"2023-11-08T07:11:33","guid":{"rendered":"https:\/\/support.questetra.com\/?p=154220"},"modified":"2023-11-09T17:02:27","modified_gmt":"2023-11-09T08:02:27","slug":"openai-images-generate-202311","status":"publish","type":"post","link":"https:\/\/support.questetra.com\/en\/addons\/openai-images-generate-202311\/","title":{"rendered":"OpenAI #Images: Generate"},"content":{"rendered":"\n

OpenAI #Images: Generate<\/strong><\/h4>\n\n\n\n

translate<\/span> OpenAI #Images: \u751f\u6210<\/a><\/p>\n\n\n\n

Creates an image given a PROMPT text by the “DALL-E 3 MODEL” via OpenAI API. By default a 1024×1024 image is generated, but 1024×1792 or 1792×1024 are also available. Note that the PROMPT text must be defined within 4000 characters.<\/p>\n\n\n\n

\"Auto<\/figure>\n\n\n\n
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Configs for this Auto Step<\/summary>
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\n
AuthzConfU1<\/dt>
U1: Select HTTP_Authz Setting (Secret API Key as “Fixed Value”) *<\/span><\/dd>\n
StrConfA1<\/dt>
A1: Set Request Message PROMPT *<\/span>#{EL}<\/sup><\/span><\/dd>\n
SelectConfB1<\/dt>
B1: Select FILE that stores Generated Image (update)<\/dd>\n<\/div>\n
StrConfM<\/dt>
M: Set MODEL Name (default “dall-e-3”)#{EL}<\/sup><\/span><\/dd>\n
StrConfU2<\/dt>
U2: Set OpenAI Organization ID (“org-xxxx”)#{EL}<\/sup><\/span><\/dd>\n
StrConfU3<\/dt>
U3: Set End-User ID for Monitoring or Detecting (“user123456”)#{EL}<\/sup><\/span><\/dd>\n
StrConfA3<\/dt>
A3: Set SIZE (“1024×1024”:default, “1792×1024” or “1024×1792”)#{EL}<\/sup><\/span><\/dd>\n
StrConfA4<\/dt>
A4: Set Quality of Image (“hd”:default or “standard”)#{EL}<\/sup><\/span><\/dd>\n
StrConfA5<\/dt>
A5: Set Style of Image (“vivid”:default or “natural”)#{EL}<\/sup><\/span><\/dd>\n
SelectConfB2<\/dt>
B2: Select FILE that stores Generated Image (append)<\/dd>\n
StrConfC1<\/dt>
C1: To save-as, Set new File Name (new line delimited)#{EL}<\/sup><\/span><\/dd>\n<\/div>\n\n<\/dl>\n<\/div><\/details><\/div>\n<\/div>\n\n\n\n
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Script (click to open)<\/summary>
\n
\/\/ Script Example of Business Process Automation\n\/\/ for 'engine type: 3' ("GraalJS standard mode")\n\/\/ cf. 'engine type: 2' ("GraalJS Nashorn compatible mode") (renamed from "GraalJS" at 20230526)\n\n\/\/\/\/\/\/\/\/ START "main()" \/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\n\nmain();\nfunction main(){ \n\n\/\/\/\/\/\/ == Config Retrieving \/ \u5de5\u7a0b\u30b3\u30f3\u30d5\u30a3\u30b0\u306e\u53c2\u7167 ==\nconst strAuthzSetting   = configs.get ( "AuthzConfU1" );             \/\/\/ REQUIRED\n  engine.log( " AutomatedTask Config: Authz Setting: " + strAuthzSetting );\nconst strOrgId          = configs.get ( "StrConfU2" );               \/\/ NotRequired\n  engine.log( " AutomatedTask Config: OpenAI-Organization: " + strOrgId );\nconst strEndUserId      = configs.get ( "StrConfU3" ) !== "" ?       \/\/ NotRequired\n                          configs.get ( "StrConfU3" ) :\n                          "m" + processInstance.getProcessModelInfoId().toString(); \/\/ (default)\n  engine.log( " AutomatedTask Config: End User IDs: " + strEndUserId );\nconst strModel          = configs.get ( "StrConfM" ) !== "" ?        \/\/ NotRequired\n                          configs.get ( "StrConfM" ) : "dall-e-3";   \/\/ (default)\n  engine.log( " AutomatedTask Config: OpenAI Model: " + strModel );\n\nconst strPrompt         = configs.get ( "StrConfA1" );               \/\/\/ REQUIRED\n  if( strPrompt       === "" ){\n    throw new Error( "\\n AutomatedTask ConfigError:" +\n                     " Config {A1: Prompt} required \\n" );\n  }\nconst strSize           = configs.get ( "StrConfA3" ) !== "" ?       \/\/ NotRequired\n                          configs.get ( "StrConfA3" ) : "1024x1024"; \/\/ (default)\nconst strQuality        = configs.get ( "StrConfA4" ) !== "" ?       \/\/ NotRequired\n                          configs.get ( "StrConfA4" ) : "hd";        \/\/ (default)\nconst strStyle          = configs.get ( "StrConfA5" ) !== "" ?       \/\/ NotRequired\n                          configs.get ( "StrConfA5" ) : "vivid";     \/\/ (default)\n\nconst filesPocketUpdate = configs.getObject( "SelectConfB1" ); \/\/ NotRequired\n  let filesUpdate       = new java.util.ArrayList();\nconst filesPocketAppend = configs.getObject( "SelectConfB2" ); \/\/ NotRequired\n  let filesAppend       = new java.util.ArrayList();\n  if ( filesPocketAppend !== null ) {\n    if ( engine.findData( filesPocketAppend ) !== null ) {\n      filesAppend       = engine.findData( filesPocketAppend ); \/\/ java.util.ArrayList\n      engine.log( " AutomatedTask FilesArray {B2}: " +\n                  filesAppend.size() + " files" );\n    }\n  }\nconst strFileNames      = configs.get( "StrConfC1" );           \/\/ NotRequired\nconst arrFileNames      = strFileNames === "" ?\n                          [] : strFileNames.split( '\\n' );\n\n\n\n\/\/\/\/\/\/ == Data Retrieving \/ \u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u30c7\u30fc\u30bf\u306e\u53c2\u7167 ==\n\/\/ (Nothing. Retrieved via Expression Language in Config Retrieving)\n\n\n\n\/\/\/\/\/\/ == Calculating \/ \u6f14\u7b97 ==\n\n\/\/\/\/ OpenAI API > Documentation > API REFERENCE > IMAGES\n\/\/\/\/ https:\/\/platform.openai.com\/docs\/api-reference\/images\/create\n\n\/\/\/ prepare json\nlet strJson = {};\n    strJson.prompt          = strPrompt;\n    strJson.model           = strModel;\n    strJson.size            = strSize;\n    strJson.response_format = "url";\n    strJson.user            = strEndUserId;\n    strJson.quality         = strQuality;\n    strJson.style           = strStyle;\n\n\/\/\/ prepare request1\nlet request1Uri = "https:\/\/api.openai.com\/v1\/images\/generations";\nlet request1 = httpClient.begin(); \/\/ HttpRequestWrapper\n    request1 = request1.authSetting( strAuthzSetting ); \/\/ with "Authorization: Bearer XX"\n    if ( strOrgId !== "" ){\n      request1 = request1.header( "OpenAI-Organization", strOrgId );\n    }\n    request1 = request1.body( JSON.stringify( strJson ), "application\/json" );\n\n\/\/\/ try request1\nconst response1     = request1.post( request1Uri ); \/\/ HttpResponseWrapper\nengine.log( " AutomatedTask ApiRequest1 Start: " + request1Uri );\nconst response1Code = response1.getStatusCode() + ""; \/\/ JavaNum to string\nconst response1Body = response1.getResponseAsString();\nengine.log( " AutomatedTask ApiResponse1 Status: " + response1Code );\nif( response1Code !== "200"){\n  throw new Error( "\\n AutomatedTask UnexpectedResponseError: " +\n                    response1Code + "\\n" + response1Body + "\\n" );\n}\n\n\/\/\/ parse response1\n\/* engine.log( response1Body ); \/\/ debug\n{\n  "created": 1682927558,\n  "data": [\n    {\n      "revised_prompt": "A Japanese woman with ...",\n      "url": "https:\/\/oaidalleapiprodscus.blob.core.windows.net\/private\/org-sWMNK..."\n    }\n  ]\n}\n*\/\nconst response1Obj = JSON.parse( response1Body );\nengine.log( " AutomatedTask OpenAI #created: " + response1Obj.created );\n\nfor ( let i = 0; i < response1Obj.data.length; i++ ) {\n\n  \/\/\/ prepare request2\n  let request2Uri = response1Obj.data[i].url;\n  let request2 = httpClient.begin(); \/\/ HttpRequestWrapper\n\n  \/\/\/ try request2i\n  const response2     = request2.get( request2Uri ); \/\/ HttpResponseWrapper\n  engine.log( " AutomatedTask ApiRequest2 Start: " + request2Uri );\n  const response2Code = response2.getStatusCode() + ""; \/\/ JavaNum to string\n  engine.log( " AutomatedTask ApiResponse2 Status: " + response2Code );\n  if( response2Code !== "200"){\n    throw new Error( "\\n AutomatedTask UnexpectedResponseError: " +\n                      response2Code + "\\n" + response2.getResponseAsString() + "\\n" );\n  }\n\n  \/\/\/ save file\n  let strName = arrFileNames[i] ?? "";\n  if ( strName === "" ) {\n    strName = processInstance.getProcessInstanceId().toString() +\n            "-" + i + ".png";\n  }\n  const qfileTmp = new com.questetra.bpms.core.event.scripttask.NewQfile(\n    strName, response2.getContentType(), response2.getResponse()\n  );\n  \/\/ NewQfile ( stringFileName, stringContentType, ByteArray )\n\n  filesUpdate.add( qfileTmp );\n  filesAppend.add( qfileTmp );\n\n}\n\n\n\n\/\/\/\/\/\/ == Data Updating \/ \u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u30c7\u30fc\u30bf\u3078\u306e\u4ee3\u5165 ==\n\nif( filesPocketUpdate !== null ){\n  engine.setData( filesPocketUpdate, filesUpdate );\n}\nif( filesPocketAppend !== null ){\n  engine.setData( filesPocketAppend, filesAppend );\n}\n\n} \/\/\/\/\/\/\/\/ END "main()" \/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\n\n\n\/*\nNotes:\n- This [Automated Step] obtains the Image via OpenAI API (Chat endpoint).\n    - Num of images: Only n=1 is supported in this [Automated Step]. (asof 202311 Dalle3 version)\n    - To generate by "DALL-E 2", use the older version.\n    - https:\/\/support.questetra.com\/en\/addons\/openai-images-generate-2023\/\n- If place this [Automated Atep] in the workflow diagram, communication will occur every time a process arrives.\n    - Request from the Questetra BPM Suite server to the OpenAI server.\n    - Analyzes the response from the OpenAI server and stores the necessary information.\n- [HTTP Authz Settings] is required for workflow apps that include this [Automated Step].\n    - An API key is required to use OpenAI API. Please obtain an API key in advance.\n        - https:\/\/platform.openai.com\/api-keys\n    - Set 'Secret API Key' as communication token. [HTTP Authz Settings] > [Token Fixed Value]\n\nAPPENDIX\n- Image Quality\n    - "hd" or "standard" can be set.\n    - "hd" creates images with finer details and greater consistency across the image.\n- Image style\n    - "vivid" or "natural" can be set.\n    - "vivid" causes the MODEL to lean towards generating hyper-real and dramatic images. \n    - "natural" causes the MODEL to produce more natural, less hyper-real looking images.\n- Timeout errors often occur.\n    - A script error has occurred. `java.util.concurrent.TimeoutException`\n\nNotes-ja:\n- \u3053\u306e\uff3b\u81ea\u52d5\u5de5\u7a0b\uff3d\u306f\u3001OpenAI API \uff08Chat \u30a8\u30f3\u30c9\u30dd\u30a4\u30f3\u30c8\uff09\u3092\u901a\u3058\u3066\u3001\u751f\u6210\u753b\u50cf\u3092\u53d6\u5f97\u3057\u307e\u3059\u3002\n    - \u3053\u306e\uff3b\u81ea\u52d5\u5de5\u7a0b\uff3d\uff08Dalle3\u7248\uff09\u3067\u751f\u6210\u3067\u304d\u308b\u679a\u6570\u306f1\u679a\u3067\u3059\u3002\uff082023\u5e7411\u6708\u73fe\u5728\uff09\n    - "DALL-E 2" \u3067\u751f\u6210\u3055\u305b\u305f\u3044\u5834\u5408\u306f\u3001\u65e7\u7248\u3092\u3054\u5229\u7528\u304f\u3060\u3055\u3044\u3002\n    - https:\/\/support.questetra.com\/ja\/addons\/openai-images-generate-2023\/\n- \u3053\u306e\uff3b\u81ea\u52d5\u5de5\u7a0b\uff3d\u3092\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u56f3\u306b\u914d\u7f6e\u3059\u308c\u3070\u3001\u6848\u4ef6\u5230\u9054\u306e\u5ea6\u306b\u901a\u4fe1\u304c\u767a\u751f\u3057\u307e\u3059\u3002\n    - Questetra BPM Suite \u30b5\u30fc\u30d0\u304b\u3089 OpenAI \u30b5\u30fc\u30d0\u306b\u5bfe\u3057\u3066\u30ea\u30af\u30a8\u30b9\u30c8\u3057\u307e\u3059\u3002\n    - OpenAI \u30b5\u30fc\u30d0\u304b\u3089\u306e\u30ec\u30b9\u30dd\u30f3\u30b9\u3092\u89e3\u6790\u3057\u3001\u5fc5\u8981\u60c5\u5831\u3092\u683c\u7d0d\u3057\u307e\u3059\u3002\n- \u3053\u306e\uff3b\u81ea\u52d5\u5de5\u7a0b\uff3d\u3092\u542b\u3080\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u30a2\u30d7\u30ea\u306b\u306f\u3001\uff3bHTTP \u8a8d\u8a3c\u8a2d\u5b9a\uff3d\u304c\u5fc5\u8981\u3067\u3059\u3002\n    - OpenAI API \u306e\u5229\u7528\u306b\u306f API key \u304c\u5fc5\u8981\u3067\u3059\u3002\u3042\u3089\u304b\u3058\u3081 API Key \u3092\u53d6\u5f97\u3057\u3066\u304a\u3044\u3066\u304f\u3060\u3055\u3044\u3002\n        - https:\/\/platform.openai.com\/api-keys\n    - 'Secret API Key' \u3092\u901a\u4fe1\u30c8\u30fc\u30af\u30f3\u3068\u3057\u3066\u30bb\u30c3\u30c8\u3057\u307e\u3059\u3002\uff3bHTTP \u8a8d\u8a3c\u8a2d\u5b9a\uff3d\uff1e\uff3b\u30c8\u30fc\u30af\u30f3\u76f4\u63a5\u6307\u5b9a\uff3d\n\nAPPENDIX-ja\n- \u753b\u50cf\u30af\u30aa\u30ea\u30c6\u30a3\n    - "hd" \u3068 "standard" \u306e\u3044\u305a\u308c\u304b\u304c\u8a2d\u5b9a\u53ef\u80fd\u3067\u3059\u3002\n    - "hd" \u3092\u6307\u5b9a\u3059\u308b\u3053\u3068\u3067\u3001\u753b\u50cf\u5168\u4f53\u306b\u6e21\u308a\u3001\u3088\u308a\u8a73\u7d30\u3067\u3001\u3088\u308a\u4e00\u8cab\u6027\u306e\u9ad8\u3044\u753b\u50cf\u304c\u751f\u6210\u3055\u308c\u307e\u3059\u3002 \n- \u753b\u50cf\u30b9\u30bf\u30a4\u30eb\n    - "vivid" \u3068 "natural" \u306e\u3044\u305a\u308c\u304b\u304c\u8a2d\u5b9a\u53ef\u80fd\u3067\u3059\u3002\n    - "vivid" (\u9bae\u3084\u304b) \u3092\u8a2d\u5b9a\u3059\u308b\u3068\u3001\u30ea\u30a2\u30eb\u3059\u304e\u308b\u753b\u50cf\uff0f\u30c9\u30e9\u30de\u30c1\u30c3\u30af\u306a\u753b\u50cf\u304c\u751f\u6210\u3055\u308c\u308b\u50be\u5411\u306b\u306a\u308a\u307e\u3059\u3002\n    - "natural" \u3092\u8a2d\u5b9a\u3059\u308b\u3068\u3001\u81ea\u7136\u306a\u753b\u50cf\uff0f\u30ea\u30a2\u30eb\u3059\u304e\u306a\u3044\u753b\u50cf\u304c\u751f\u6210\u3055\u308c\u308b\u50be\u5411\u306b\u306a\u308a\u307e\u3059\u3002\n- \u30bf\u30a4\u30e0\u30a2\u30a6\u30c8\u30a8\u30e9\u30fc\u304c\u8d77\u304d\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002\n    - \u30b9\u30af\u30ea\u30d7\u30c8\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3057\u307e\u3057\u305f\u3002 `java.util.concurrent.TimeoutException`\n\n*\/\n\n<\/code><\/pre><\/div>\n<\/div><\/details><\/div>\n<\/div>\n\n\n\n
Download<\/span><\/h3>\n\n\n\n