n8n-nodes-piapi
Version:
Community n8n nodes for PiAPI - integrate generative AI capabilities (image, video, audio, 3D) into your workflows
186 lines • 7.09 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.WanXTextToVideo = void 0;
const GenericFunctions_1 = require("../shared/GenericFunctions");
const Constants_1 = require("../shared/Constants");
class WanXTextToVideo {
constructor() {
this.description = {
displayName: 'PiAPI WanX Text to Video',
name: 'wanXTextToVideo',
icon: 'file:../piapi.svg',
group: ['transform'],
version: 1,
description: 'Generate videos from text using PiAPI WanX',
defaults: {
name: 'WanX Text to Video',
},
inputs: ["main"],
outputs: ["main"],
credentials: [
{
name: 'piAPIApi',
required: true,
},
],
properties: [
{
displayName: 'Prompt',
name: 'prompt',
type: 'string',
typeOptions: {
rows: 4,
},
default: '',
required: true,
description: 'Descriptive prompt for video generation',
},
{
displayName: 'Negative Prompt',
name: 'negativePrompt',
type: 'string',
typeOptions: {
rows: 2,
},
default: '',
description: 'Things to exclude from the video generation',
},
{
displayName: 'Model',
name: 'model',
type: 'options',
options: Constants_1.WANX_MODELS.filter(model => model.value.includes('txt2video')),
default: 'txt2video-1.3b',
description: 'The WanX model to use for video generation',
},
{
displayName: 'Aspect Ratio',
name: 'aspectRatio',
type: 'options',
options: [
{
name: 'Landscape (16:9)',
value: '16:9',
},
{
name: 'Portrait (9:16)',
value: '9:16',
}
],
default: '16:9',
description: 'Aspect ratio of the generated video',
},
{
displayName: 'Use LoRA',
name: 'useLoRA',
type: 'boolean',
default: true,
description: 'Whether to use LoRA for style control',
displayOptions: {
show: {
model: ['txt2video-14b-lora'],
},
},
},
{
displayName: 'LoRA Type',
name: 'loraType',
type: 'options',
options: Constants_1.GHIBLI_STYLE_OPTIONS,
default: 'ghibli',
description: 'Style type to apply using LoRA',
displayOptions: {
show: {
model: ['txt2video-14b-lora'],
useLoRA: [true],
},
},
},
{
displayName: 'LoRA Strength',
name: 'loraStrength',
type: 'number',
typeOptions: {
minValue: 0,
maxValue: 1,
stepSize: 0.1,
},
default: 1,
description: 'Controls the intensity of LoRA influence (0.0-1.0)',
displayOptions: {
show: {
model: ['txt2video-14b-lora'],
useLoRA: [true],
},
},
},
{
displayName: 'Wait for Completion',
name: 'waitForCompletion',
type: 'boolean',
default: true,
description: 'Wait for task to complete and return results',
},
],
};
}
async execute() {
var _a;
const items = this.getInputData();
const returnData = [];
for (let i = 0; i < items.length; i++) {
const prompt = this.getNodeParameter('prompt', i);
const negativePrompt = this.getNodeParameter('negativePrompt', i, '');
const model = this.getNodeParameter('model', i);
const aspectRatio = this.getNodeParameter('aspectRatio', i);
const waitForCompletion = this.getNodeParameter('waitForCompletion', i, true);
const body = {
model: 'Qubico/wanx',
task_type: model,
input: {
prompt,
negative_prompt: negativePrompt,
aspect_ratio: aspectRatio,
video_resolution: '480P',
},
};
if (model === 'txt2video-14b-lora') {
const useLoRA = this.getNodeParameter('useLoRA', i, true);
if (useLoRA) {
const loraType = this.getNodeParameter('loraType', i);
const loraStrength = this.getNodeParameter('loraStrength', i, 1);
body.input.lora_settings = [
{
lora_type: loraType,
lora_strength: loraStrength,
},
];
}
}
try {
const response = await GenericFunctions_1.piApiRequest.call(this, 'POST', '/api/v1/task', body);
let taskResult = response;
if (waitForCompletion && ((_a = response.data) === null || _a === void 0 ? void 0 : _a.task_id)) {
taskResult = await GenericFunctions_1.waitForTaskCompletion.call(this, response.data.task_id);
}
returnData.push({
json: taskResult,
});
}
catch (error) {
if (this.continueOnFail()) {
returnData.push({
json: {
error: error.message,
},
});
continue;
}
throw error;
}
}
return [returnData];
}
}
exports.WanXTextToVideo = WanXTextToVideo;
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