@n8n/n8n-nodes-langchain
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JavaScript
;
var __defProp = Object.defineProperty;
var __getOwnPropDesc = Object.getOwnPropertyDescriptor;
var __getOwnPropNames = Object.getOwnPropertyNames;
var __hasOwnProp = Object.prototype.hasOwnProperty;
var __export = (target, all) => {
for (var name in all)
__defProp(target, name, { get: all[name], enumerable: true });
};
var __copyProps = (to, from, except, desc) => {
if (from && typeof from === "object" || typeof from === "function") {
for (let key of __getOwnPropNames(from))
if (!__hasOwnProp.call(to, key) && key !== except)
__defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable });
}
return to;
};
var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod);
var generate_operation_exports = {};
__export(generate_operation_exports, {
description: () => description,
execute: () => execute
});
module.exports = __toCommonJS(generate_operation_exports);
var import_n8n_workflow = require("n8n-workflow");
var import_transport = require("../../../transport");
const properties = [
{
displayName: "Model",
name: "model",
type: "options",
default: "dall-e-3",
description: "The model to use for image generation",
options: [
{
name: "DALL\xB7E 2",
value: "dall-e-2"
},
{
name: "DALL\xB7E 3",
value: "dall-e-3"
},
{
name: "GPT Image 1",
value: "gpt-image-1"
}
]
},
{
displayName: "Prompt",
name: "prompt",
type: "string",
placeholder: "e.g. A cute cat eating a dinosaur",
description: "A text description of the desired image(s). The maximum length is 1000 characters for dall-e-2 and 4000 characters for dall-e-3.",
default: "",
typeOptions: {
rows: 2
}
},
{
displayName: "Options",
name: "options",
placeholder: "Add Option",
type: "collection",
default: {},
options: [
{
displayName: "Number of Images",
name: "n",
default: 1,
description: "Number of images to generate",
type: "number",
typeOptions: {
minValue: 1,
maxValue: 10
},
displayOptions: {
show: {
"/model": ["dall-e-2"]
}
}
},
{
displayName: "Quality",
name: "dalleQuality",
type: "options",
description: "The quality of the image that will be generated, HD creates images with finer details and greater consistency across the image",
options: [
{
name: "HD",
value: "hd"
},
{
name: "Standard",
value: "standard"
}
],
displayOptions: {
show: {
"/model": ["dall-e-3"]
}
},
default: "standard"
},
{
displayName: "Quality",
name: "quality",
type: "options",
description: "The quality of the image that will be generated, High creates images with finer details and greater consistency across the image",
options: [
{
name: "High",
value: "high"
},
{
name: "Medium",
value: "medium"
},
{
name: "Low",
value: "low"
}
],
displayOptions: {
show: {
"/model": ["gpt-image-1"]
}
},
default: "medium"
},
{
displayName: "Resolution",
name: "size",
type: "options",
options: [
{
name: "256x256",
value: "256x256"
},
{
name: "512x512",
value: "512x512"
},
{
name: "1024x1024",
value: "1024x1024"
}
],
displayOptions: {
show: {
"/model": ["dall-e-2"]
}
},
default: "1024x1024"
},
{
displayName: "Resolution",
name: "size",
type: "options",
options: [
{
name: "1024x1024",
value: "1024x1024"
},
{
name: "1792x1024",
value: "1792x1024"
},
{
name: "1024x1792",
value: "1024x1792"
}
],
displayOptions: {
show: {
"/model": ["dall-e-3"]
}
},
default: "1024x1024"
},
{
displayName: "Resolution",
name: "size",
type: "options",
options: [
{
name: "1024x1024",
value: "1024x1024"
},
{
name: "1024x1536",
value: "1024x1536"
},
{
name: "1536x1024",
value: "1536x1024"
}
],
displayOptions: {
show: {
"/model": ["gpt-image-1"]
}
},
default: "1024x1024"
},
{
displayName: "Style",
name: "style",
type: "options",
options: [
{
name: "Natural",
value: "natural",
description: "Produce more natural looking images"
},
{
name: "Vivid",
value: "vivid",
description: "Lean towards generating hyper-real and dramatic images"
}
],
displayOptions: {
show: {
"/model": ["dall-e-3"]
}
},
default: "vivid"
},
{
displayName: "Respond with Image URL(s)",
name: "returnImageUrls",
type: "boolean",
default: false,
description: "Whether to return image URL(s) instead of binary file(s)",
displayOptions: {
hide: {
"/model": ["gpt-image-1"]
}
}
},
{
displayName: "Put Output in Field",
name: "binaryPropertyOutput",
type: "string",
default: "data",
hint: "The name of the output field to put the binary file data in",
displayOptions: {
show: {
returnImageUrls: [false]
}
}
}
]
}
];
const displayOptions = {
show: {
operation: ["generate"],
resource: ["image"]
}
};
const description = (0, import_n8n_workflow.updateDisplayOptions)(displayOptions, properties);
async function execute(i) {
const model = this.getNodeParameter("model", i);
const prompt = this.getNodeParameter("prompt", i);
const options = this.getNodeParameter("options", i, {});
let response_format = "b64_json";
let binaryPropertyOutput = "data";
if (options.returnImageUrls) {
response_format = "url";
}
if (options.binaryPropertyOutput) {
binaryPropertyOutput = options.binaryPropertyOutput;
delete options.binaryPropertyOutput;
}
if (options.dalleQuality) {
options.quality = options.dalleQuality;
delete options.dalleQuality;
}
delete options.returnImageUrls;
const body = {
prompt,
model,
response_format: model !== "gpt-image-1" ? response_format : void 0,
// gpt-image-1 does not support response_format
...options
};
const { data } = await import_transport.apiRequest.call(this, "POST", "/images/generations", { body });
if (response_format === "url") {
return (data || []).map((entry) => ({
json: entry,
pairedItem: { item: i }
}));
} else {
const returnData = [];
for (const entry of data) {
const binaryData = await this.helpers.prepareBinaryData(
Buffer.from(entry.b64_json, "base64"),
"data"
);
returnData.push({
json: Object.assign({}, binaryData, {
data: void 0
}),
binary: {
[binaryPropertyOutput]: binaryData
},
pairedItem: { item: i }
});
}
return returnData;
}
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
description,
execute
});
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