n8n-nodes-piapi
Version:
Community n8n nodes for PiAPI - integrate generative AI capabilities (image, video, audio, 3D) into your workflows
242 lines • 10.4 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.SkyreelsImageToVideo = void 0;
const GenericFunctions_1 = require("../shared/GenericFunctions");
class SkyreelsImageToVideo {
constructor() {
this.description = {
displayName: 'PiAPI Skyreels Image to Video',
name: 'skyreelsImageToVideo',
icon: 'file:../piapi.svg',
group: ['transform'],
version: 1,
description: 'Generate videos from images using PiAPI Skyreels',
defaults: {
name: 'Skyreels Image to Video',
},
inputs: ["main"],
outputs: ["main"],
credentials: [
{
name: 'piAPIApi',
required: true,
},
],
properties: [
{
displayName: 'Prompt',
name: 'prompt',
type: 'string',
typeOptions: {
rows: 4,
},
default: 'FPS-24, ',
required: true,
description: 'Text prompt to guide video generation. Include "FPS-24" for optimal frame rate.',
placeholder: 'FPS-24, video of a young woman with long hair. She is wearing a light gray t-shirt.',
},
{
displayName: 'Negative Prompt',
name: 'negativePrompt',
type: 'string',
typeOptions: {
rows: 4,
},
default: '',
required: false,
description: 'Elements to avoid in the generated video',
placeholder: 'chaotic, distortion, morphing',
},
{
displayName: 'Image Source',
name: 'imageSource',
type: 'options',
options: [
{
name: 'URL',
value: 'url',
description: 'Load image from URL',
},
{
name: 'Binary Data',
value: 'binaryData',
description: 'Use image from binary field',
},
],
default: 'url',
description: 'Where to get the image from',
},
{
displayName: 'Image URL',
name: 'imageUrl',
type: 'string',
default: '',
required: true,
displayOptions: {
show: {
imageSource: ['url'],
},
},
description: 'URL of the image to transform into a video',
},
{
displayName: 'Binary Property',
name: 'binaryPropertyName',
type: 'string',
default: 'data',
required: true,
displayOptions: {
show: {
imageSource: ['binaryData'],
},
},
description: 'Name of the binary property containing the image',
},
{
displayName: 'Aspect Ratio',
name: 'aspectRatio',
type: 'options',
options: [
{
name: 'Landscape (16:9)',
value: '16:9',
description: 'Landscape format, optimal for desktop viewing',
},
{
name: 'Portrait (9:16)',
value: '9:16',
description: 'Portrait format, optimal for mobile devices',
},
{
name: 'Square (1:1)',
value: '1:1',
description: 'Square format, works well on most platforms',
},
],
default: '16:9',
description: 'Aspect ratio of the generated video',
},
{
displayName: 'Guidance Scale',
name: 'guidanceScale',
type: 'number',
typeOptions: {
minValue: 0.1,
maxValue: 10,
numberPrecision: 1,
},
default: 3.5,
description: 'Controls how closely the video adheres to the prompt (0.1-10, lower = more creative, higher = more accurate)',
},
{
displayName: 'Wait for Completion',
name: 'waitForCompletion',
type: 'boolean',
default: false,
description: 'Whether to wait for the task to complete before returning',
},
{
displayName: 'Image Requirements Notice',
name: 'notice',
type: 'notice',
default: 'For best results: provide clear images with good lighting and minimal background distractions. Faces and human subjects generally produce the best results.',
},
],
};
}
async execute() {
var _a;
const items = this.getInputData();
const returnData = [];
for (let i = 0; i < items.length; i++) {
try {
const prompt = this.getNodeParameter('prompt', i);
const negativePrompt = this.getNodeParameter('negativePrompt', i, '');
const imageSource = this.getNodeParameter('imageSource', i);
const aspectRatio = this.getNodeParameter('aspectRatio', i);
const guidanceScale = this.getNodeParameter('guidanceScale', i);
const waitForCompletion = this.getNodeParameter('waitForCompletion', i, false);
let imageBase64 = '';
if (imageSource === 'url') {
const imageUrl = this.getNodeParameter('imageUrl', i);
try {
new URL(imageUrl);
try {
const imageResponse = await this.helpers.request({
method: 'GET',
url: imageUrl,
encoding: null,
resolveWithFullResponse: true,
});
const buffer = Buffer.from(imageResponse.body);
const contentType = imageResponse.headers['content-type'] || 'image/png';
imageBase64 = `data:${contentType};base64,${buffer.toString('base64')}`;
}
catch (error) {
throw new Error(`Failed to download image from URL: ${error.message}`);
}
}
catch (error) {
throw new Error(`Invalid image URL: ${error.message}`);
}
}
else if (imageSource === 'binaryData') {
const binaryPropertyName = this.getNodeParameter('binaryPropertyName', i);
const binaryItem = (_a = items[i].binary) === null || _a === void 0 ? void 0 : _a[binaryPropertyName];
if (!binaryItem) {
throw new Error(`No binary data found in property ${binaryPropertyName}`);
}
const binaryData = await this.helpers.getBinaryDataBuffer(i, binaryPropertyName);
if (!binaryData) {
throw new Error(`No binary data found in property ${binaryPropertyName}`);
}
const binaryMimeType = binaryItem.mimeType || 'image/png';
imageBase64 = `data:${binaryMimeType};base64,${binaryData.toString('base64')}`;
}
const body = {
model: 'Qubico/skyreels',
task_type: 'img2video',
input: {
prompt,
negative_prompt: negativePrompt,
image: imageBase64,
aspect_ratio: aspectRatio,
guidance_scale: guidanceScale,
},
config: {
webhook_config: {
endpoint: '',
secret: '',
},
},
};
const response = await GenericFunctions_1.piApiRequest.call(this, 'POST', '/api/v1/task', body);
if (response.code !== 200) {
throw new Error(`API Error: ${response.message}`);
}
const taskId = response.data.task_id;
let taskData = response.data;
if (waitForCompletion) {
taskData = await GenericFunctions_1.waitForTaskCompletion.call(this, taskId);
}
returnData.push({
json: taskData,
});
}
catch (error) {
if (this.continueOnFail()) {
returnData.push({
json: {
error: error.message,
},
});
continue;
}
throw error;
}
}
return [returnData];
}
}
exports.SkyreelsImageToVideo = SkyreelsImageToVideo;
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