Generate Video from Image with Google Vertex AI API on Document Creation Failed (Instant) from PandaDoc API

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Document Creation Failed (Instant) from the PandaDoc API

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Generate Video from Image with the Google Vertex AI API

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Getting Started#

This integration creates a workflow with a PandaDoc trigger and Google Vertex AI action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the Document Creation Failed (Instant) trigger
1. Connect your PandaDoc account
Configure the Generate Video from Image action
1. Connect your Google Vertex AI account
2. Select a Project ID
3. Select a Model
4. Configure Prompt
5. Select a Aspect Ratio
6. Configure Duration (seconds)
7. Configure Enhance Prompt
8. Configure Generate Audio
9. Optional- Configure Negative Prompt
10. Optional- Select a Person Generation
11. Optional- Select a Resolution
12. Configure Sample Count
13. Optional- Configure Storage URI
14. Configure Image Path Or URL
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

Document Creation Failed (Instant) on PandaDoc

Description:Emit new event when a document failed to be created. [See the documentation here](https://developers.pandadoc.com/reference/create-webhooks-subscription)

Version:0.0.5

Key:pandadoc-document-creation-failed

View on GitHub

PandaDoc Overview#

The PandaDoc API opens up a realm of possibilities for automating document workflows, creating a seamless bridge between document management and various business processes. With it, you can programmatically create, send, and track documents, streamline electronic signatures, and manage templates, among others. Integrations through Pipedream can harness these capabilities, enabling you to trigger actions in PandaDoc based on events from other apps, or vice versa.

Trigger Code#

import common from "../common.mjs";

const DOCS_LINK = "https://developers.pandadoc.com/reference/create-webhooks-subscription";

export default {
  ...common,
  name: "Document Creation Failed (Instant)",
  description:
    `Emit new event when a document failed to be created. [See the documentation here](${DOCS_LINK})`,
  key: "pandadoc-document-creation-failed",
  version: "0.0.5",
  type: "source",
  methods: {
    ...common.methods,
    getHookName() {
      return "Document Creation Failed";
    },
    getHookTypes() {
      return [
        "document_creation_failed",
      ];
    },
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
PandaDoc	`app`	`app`	This component uses the PandaDoc app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.

Trigger Authentication#

PandaDoc uses OAuth authentication. When you connect your PandaDoc account, Pipedream will open a popup window where you can sign into PandaDoc and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any PandaDoc API.

Pipedream requests the following authorization scopes when you connect your account:

read+write

About PandaDoc#

Create, Approve, Track & eSign Docs 40% Faster

Action#

Generate Video from Image on Google Vertex AI

Description:Generate a video from an image with optional text prompt using Google Vertex AI Veo models. [See the documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/veo-video-generation)

Version:0.0.1

Key:google_vertex_ai-generate-video-from-image

View on GitHub

Google Vertex AI Overview#

With the Google Vertex AI API, you can tap into a robust suite of AI tools offered by Google Cloud to build, deploy, and scale machine learning models. Whether you're processing data, training custom models, or using pre-trained ones, Vertex AI provides a unified platform for AI development. In Pipedream, you can create serverless workflows that interact with Vertex AI, allowing you to automate tasks like model training, prediction, and resource management without provisioning your own infrastructure.

Action Code#

import { getFileStreamAndMetadata } from "@pipedream/platform";
import common from "../common/generate-video.mjs";

export default {
  ...common,
  key: "google_vertex_ai-generate-video-from-image",
  name: "Generate Video from Image",
  description: "Generate a video from an image with optional text prompt using Google Vertex AI Veo models. [See the documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/veo-video-generation)",
  version: "0.0.1",
  type: "action",
  props: {
    ...common.props,
    image: {
      type: "string",
      label: "Image Path Or URL",
      description: "Provide either a file URL or a path to a file in the `/tmp` directory (for example, `/tmp/image.jpg`). Supported formats: JPEG, PNG. For best quality, use 720p or higher (1280 x 720 pixels) with 16:9 or 9:16 aspect ratio.",
    },
  },
  async run({ $ }) {
    const {
      projectId,
      model,
      image,
      prompt,
      aspectRatio,
      durationSeconds,
      enhancePrompt,
      generateAudio,
      negativePrompt,
      personGeneration,
      resolution,
      sampleCount,
      storageUri,
    } = this;

    const {
      stream, metadata,
    } = await getFileStreamAndMetadata(image);
    const imageBase64 = await this.streamToBase64(stream);

    const operationResponse = await this.app.generateVideosLongRunning({
      $,
      projectId,
      model,
      data: {
        instances: [
          {
            prompt,
            image: {
              bytesBase64Encoded: imageBase64,
              mimeType: metadata.contentType,
            },
          },
        ],
        parameters: {
          aspectRatio,
          durationSeconds,
          enhancePrompt,
          sampleCount,
          negativePrompt,
          personGeneration,
          generateAudio,
          resolution,
          storageUri,
        },
      },
    });

    if (!operationResponse.name) {
      throw new Error("Failed to start video generation operation");
    }

    // Poll the operation until completion
    const completedOperation = await this.pollOperation({
      $,
      projectId,
      model,
      operationName: operationResponse.name,
    });

    if (completedOperation.error) {
      throw new Error(`Video generation failed: ${JSON.stringify(completedOperation.error)}`);
    }

    if (!completedOperation.response) {
      throw new Error("No response received from completed operation");
    }

    const videoCount = completedOperation.response?.videos?.length || 0;

    $.export("$summary", `Successfully generated ${videoCount} video(s) from image`);

    return completedOperation;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
Google Vertex AI	`app`	`app`	This component uses the Google Vertex AI app.
Project ID	`projectId`	`string`	Select a value from the drop down menu.
Model	`model`	`string`	Select a value from the drop down menu:`{ "label": "Veo 2.0 Generate 001 (Stable)", "value": "veo-2.0-generate-001" }{ "label": "Veo 3.0 Generate Preview (Preview)", "value": "veo-3.0-generate-preview" }{ "label": "Veo 3.0 Fast Generate Preview (Preview)", "value": "veo-3.0-fast-generate-preview" }`
Prompt	`prompt`	`string`	The text prompt to guide video generation. For Veo 3, you can include audio cues like dialogue in quotes, sound effects, and ambient noise descriptions.
Aspect Ratio	`aspectRatio`	`string`	Select a value from the drop down menu:`{ "label": "16:9 (Landscape)", "value": "16:9" }{ "label": "9:16 (Portrait) - Veo 2 only", "value": "9:16" }`
Duration (seconds)	`durationSeconds`	`integer`	The length of the video in seconds. Veo 2: 5-8 seconds, Veo 3: 8 seconds
Enhance Prompt	`enhancePrompt`	`boolean`	Use Gemini to enhance your prompts
Generate Audio	`generateAudio`	`boolean`	Generate audio for the video (Veo 3 only)
Negative Prompt	`negativePrompt`	`string`	A text string that describes anything you want to discourage the model from generating
Person Generation	`personGeneration`	`string`	Select a value from the drop down menu:`{ "label": "Allow Adult", "value": "allow_adult" }{ "label": "Don't Allow", "value": "dont_allow" }`
Resolution	`resolution`	`string`	Select a value from the drop down menu:`{ "label": "720p", "value": "720p" }{ "label": "1080p", "value": "1080p" }`
Sample Count	`sampleCount`	`integer`	The number of output videos requested
Storage URI	`storageUri`	`string`	A Cloud Storage bucket URI to store the output video, in the format `gs://BUCKET_NAME/SUBDIRECTORY`. If a Cloud Storage bucket isn't provided, base64-encoded video bytes are returned in the response.
Image Path Or URL	`image`	`string`	Provide either a file URL or a path to a file in the `/tmp` directory (for example, `/tmp/image.jpg`). Supported formats: JPEG, PNG. For best quality, use 720p or higher (1280 x 720 pixels) with 16:9 or 9:16 aspect ratio.

Action Authentication#

Google Vertex AI uses OAuth authentication. When you connect your Google Vertex AI account, Pipedream will open a popup window where you can sign into Google Vertex AI and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Google Vertex AI API.

Pipedream requests the following authorization scopes when you connect your account:

emailprofilehttps://www.googleapis.com/auth/cloud-platform

Generate Video from Image with Google Vertex AI API on Document Creation Failed (Instant) from PandaDoc API

Pipedream makes it easy to connect APIs for Google Vertex AI, PandaDoc and 2,800+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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