← Discord Bot + Runware integrations

Request Task with Runware API on New Thread Message from Discord Bot API

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New Thread Message from the Discord Bot API
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Request Task with the Runware API
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Getting Started

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

  1. Select this integration
  2. Configure the New Thread Message trigger
    1. Connect your Discord Bot account
    2. Select a Guild
    3. Configure timer
  3. Configure the Request Task action
    1. Connect your Runware account
    2. Select a Task Type
    3. Optional- Select a Output Type
    4. Optional- Select a Output Format
    5. Optional- Configure Upload Endpoint
    6. Optional- Configure Check NSFW
    7. Optional- Configure Include Cost
    8. Configure Positive Prompt
    9. Optional- Configure Negative Prompt
    10. Optional- Configure Seed Image
    11. Optional- Configure Mask Image
    12. Optional- Configure Strength
    13. Configure Height
    14. Configure Width
    15. Configure Model
    16. Optional- Configure Steps
    17. Optional- Configure Scheduler
    18. Optional- Configure Seed
    19. Optional- Configure Number Of Results
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Emit new event for each thread message posted.
Version:0.0.5
Key:discord_bot-new-thread-message

Discord Bot Overview

The Discord Bot API unlocks the power to interact with Discord users and channels programmatically, making it possible to automate messages, manage servers, and integrate with other services. With Pipedream's serverless platform, you can create complex workflows that respond to events in Discord, process data, and trigger actions in other apps. This opens up opportunities for community engagement, content moderation, analytics, and more, without the overhead of managing infrastructure.

Trigger Code

import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import maxBy from "lodash.maxby";
import common from "../common.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "discord_bot-new-thread-message",
  name: "New Thread Message",
  description: "Emit new event for each thread message posted.",
  type: "source",
  version: "0.0.5",
  dedupe: "unique", // Dedupe events based on the Discord message ID
  props: {
    ...common.props,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  async run({ $ }) {
    // We store a cursor to the last message ID
    let lastMessageIDs = this._getLastMessageIDs();

    const { threads } = await this.discord.listThreads({
      $,
      guildId: this.guildId,
    });

    // If this is our first time running this source,
    // get the last N messages, emit them, and checkpoint
    for (const channel of threads) {
      let lastMessageID;
      let messages = [];
      const channelId = channel.id;

      if (!lastMessageIDs[channelId]) {
        messages = await this.discord.getMessages({
          $,
          channelId,
          params: {
            limit: 100,
          },
        });

        lastMessageID = messages.length
          ? maxBy(messages, (message) => message.id).id
          : 1;

      } else {
        let newMessages = [];

        do {
          newMessages = await this.discord.getMessages({
            $,
            channelId,
            params: {
              after: lastMessageIDs[channelId],
            },
          });

          messages = messages.concat(newMessages);

          lastMessageID = newMessages.length
            ? maxBy(newMessages, (message) => message.id).id
            : lastMessageIDs[channelId];
          lastMessageIDs[channelId] = lastMessageID;

        } while (newMessages.length);
      }

      // Set the new high water mark for the last message ID
      // for this channel
      lastMessageIDs[channelId] = lastMessageID;

      if (!messages.length) {
        console.log(`No new messages in thread ${channelId}`);
        continue;
      }

      console.log(`${messages.length} new messages in thread ${channelId}`);

      messages.reverse().forEach((message) => {
        if (!message.content) {
          return;
        }
        this.$emit(message, {
          id: message.id, // dedupes events based on this ID
          summary: `A new message with Id: ${message.id} was posted in thread ${channelId}.`,
          ts: Date.parse(message.timestamp),
        });
      });
    }

    // Set the last message ID for the next run
    this._setLastMessageIDs(lastMessageIDs);
  },
  sampleEmit,
};

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.
LabelPropTypeDescription
Discord BotdiscordappThis component uses the Discord Bot app.
GuildguildIdstringSelect a value from the drop down menu.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer

Trigger Authentication

Discord Bot uses API keys for authentication. When you connect your Discord Bot account, Pipedream securely stores the keys so you can easily authenticate to Discord Bot APIs in both code and no-code steps.

This app allows you to use the Discord API using your own Discord bot. If you don't want to use a custom bot, and you just need to use the Discord API, exit this screen and use the Discord app, instead.


If you want to use your own Discord bot, but haven't created one yet, see these instructions or watch this video. You'll need to add this bot to your server(s) to make successful API requests.

Once you've created your bot, you'll find the Bot token within the Bot section of your app. Enter that token below.

About Discord Bot

Use this app to interact with the Discord API using a bot in your account

Action

Description:Request one task to be processed by the Runware API. [See the documentation](https://docs.runware.ai/en/image-inference/api-reference).
Version:0.0.1
Key:runware-request-task

Action Code

import { v4 as uuid } from "uuid";
import app from "../../runware.app.mjs";

export default {
  key: "runware-request-task",
  name: "Request Task",
  description: "Request one task to be processed by the Runware API. [See the documentation](https://docs.runware.ai/en/image-inference/api-reference).",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    taskType: {
      propDefinition: [
        app,
        "taskType",
      ],
    },
    outputType: {
      propDefinition: [
        app,
        "outputType",
      ],
    },
    outputFormat: {
      propDefinition: [
        app,
        "outputFormat",
      ],
    },
    uploadEndpoint: {
      propDefinition: [
        app,
        "uploadEndpoint",
      ],
    },
    checkNSFW: {
      propDefinition: [
        app,
        "checkNSFW",
      ],
    },
    includeCost: {
      propDefinition: [
        app,
        "includeCost",
      ],
    },
    positivePrompt: {
      propDefinition: [
        app,
        "positivePrompt",
      ],
    },
    negativePrompt: {
      propDefinition: [
        app,
        "negativePrompt",
      ],
    },
    seedImage: {
      propDefinition: [
        app,
        "seedImage",
      ],
    },
    maskImage: {
      propDefinition: [
        app,
        "maskImage",
      ],
    },
    strength: {
      propDefinition: [
        app,
        "strength",
      ],
    },
    height: {
      propDefinition: [
        app,
        "height",
      ],
    },
    width: {
      propDefinition: [
        app,
        "width",
      ],
    },
    model: {
      propDefinition: [
        app,
        "model",
      ],
    },
    steps: {
      propDefinition: [
        app,
        "steps",
      ],
    },
    scheduler: {
      propDefinition: [
        app,
        "scheduler",
      ],
    },
    seed: {
      propDefinition: [
        app,
        "seed",
      ],
    },
    numberResults: {
      propDefinition: [
        app,
        "numberResults",
      ],
    },
  },
  async run({ $ }) {
    const {
      app,
      taskType,
      outputType,
      outputFormat,
      uploadEndpoint,
      checkNSFW,
      includeCost,
      positivePrompt,
      negativePrompt,
      seedImage,
      maskImage,
      strength,
      height,
      width,
      model,
      steps,
      scheduler,
      seed,
      numberResults,
    } = this;

    const response = await app.post({
      $,
      data: [
        {
          taskUUID: uuid(),
          taskType,
          outputType,
          outputFormat,
          uploadEndpoint,
          checkNSFW,
          includeCost,
          positivePrompt,
          negativePrompt,
          seedImage,
          maskImage,
          strength,
          height,
          width,
          model,
          steps,
          scheduler,
          seed: seed
            ? parseInt(seed)
            : undefined,
          numberResults,
        },
      ],
    });

    $.export("$summary", `Successfully requested task with UUID \`${response.data[0].taskUUID}\`.`);
    return response;
  },
};

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.

LabelPropTypeDescription
RunwareappappThis component uses the Runware app.
Task TypetaskTypestringSelect a value from the drop down menu:{ "value": "imageInference", "label": "Image Inference" }{ "value": "imageControlNetPreProcess", "label": "Image Control Net Preprocess" }{ "value": "imageUpscale", "label": "Image Upscale" }{ "value": "imageBackgroundRemoval", "label": "Image Background Removal" }{ "value": "imageCaption", "label": "Image Caption" }{ "value": "promptEnhance", "label": "Prompt Enhance" }
Output TypeoutputTypestringSelect a value from the drop down menu:base64DatadataURIURL
Output FormatoutputFormatstringSelect a value from the drop down menu:PNGJPGWEBP
Upload EndpointuploadEndpointstring

This parameter allows you to specify a URL to which the generated image will be uploaded as binary image data using the HTTP PUT method. For example, an S3 bucket URL can be used as the upload endpoint. When the image is ready, it will be uploaded to the specified URL.

Check NSFWcheckNSFWboolean

This parameter is used to enable or disable the NSFW check. When enabled, the API will check if the image contains NSFW (not safe for work) content. This check is done using a pre-trained model that detects adult content in images. When the check is enabled, the API will return NSFWContent: true in the response object if the image is flagged as potentially sensitive content. If the image is not flagged, the API will return NSFWContent: false. If this parameter is not used, the parameter NSFWContent will not be included in the response object. Adds 0.1 seconds to image inference time and incurs additional costs. The NSFW filter occasionally returns false positives and very rarely false negatives.

Include CostincludeCostboolean

If set to true, the cost to perform the task will be included in the response object. Defaults to false.

Positive PromptpositivePromptstring

A positive prompt is a text instruction to guide the model on generating the image. It is usually a sentence or a paragraph that provides positive guidance for the task. This parameter is essential to shape the desired results. For example, if the positive prompt is dragon drinking coffee, the model will generate an image of a dragon drinking coffee. The more detailed the prompt, the more accurate the results. The length of the prompt must be between 4 and 2000 characters.

Negative PromptnegativePromptstring

A negative prompt is a text instruction to guide the model on generating the image. It is usually a sentence or a paragraph that provides negative guidance for the task. This parameter helps to avoid certain undesired results. For example, if the negative prompt is red dragon, cup, the model will follow the positive prompt but will avoid generating an image of a red dragon or including a cup. The more detailed the prompt, the more accurate the results. The length of the prompt must be between 4 and 2000 characters.

Seed ImageseedImagestring

When doing Image-to-Image, Inpainting or Outpainting, this parameter is required. Specifies the seed image to be used for the diffusion process. The image can be specified in one of the following formats:

  • An UUID v4 string of a previously uploaded image or a generated image.
  • A data URI string representing the image. The data URI must be in the format data:<mediaType>;base64, followed by the base64-encoded image. For example: data:image/png;base64,iVBORw0KGgo....
  • A base64 encoded image without the data URI prefix. For example: iVBORw0KGgo....
  • A URL pointing to the image. The image must be accessible publicly. Supported formats are: PNG, JPG and WEBP.
Mask ImagemaskImagestring

When doing Inpainting or Outpainting, this parameter is required. Specifies the mask image to be used for the inpainting process. The image can be specified in one of the following formats:

  • An UUID v4 string of a previously uploaded image or a generated image.
  • A data URI string representing the image. The data URI must be in the format data:<mediaType>;base64, followed by the base64-encoded image. For example: data:image/png;base64,iVBORw0KGgo....
  • A base64 encoded image without the data URI prefix. For example: iVBORw0KGgo....
  • A URL pointing to the image. The image must be accessible publicly. Supported formats are: PNG, JPG and WEBP.
Strengthstrengthstring

When doing Image-to-Image, Inpainting or Outpainting, this parameter is used to determine the influence of the Seed Image image in the generated output. A higher value results in more influence from the original image, while a lower value allows more creative deviation. Min: 0 Max: 1 and Default: 0.8.

Heightheightinteger

Used to define the height dimension of the generated image. Certain models perform better with specific dimensions. The value must be divisible by 64, eg: 512, 576, 640 ... 2048.

Widthwidthinteger

Used to define the width dimension of the generated image. Certain models perform better with specific dimensions. The value must be divisible by 64, eg: 512, 576, 640 ... 2048.

Modelmodelstring

This identifier is a unique string that represents a specific model. You can find the AIR identifier of the model you want to use in our Model Explorer, which is a tool that allows you to search for models based on their characteristics. More information about the AIR system can be found in the Models page. Eg. civitai:78605@83390.

Stepsstepsinteger

The number of steps is the number of iterations the model will perform to generate the image. The higher the number of steps, the more detailed the image will be. However, increasing the number of steps will also increase the time it takes to generate the image and may not always result in a better image (some schedulers work differently). When using your own models you can specify a new default value for the number of steps. Defaults to 20.

Schedulerschedulerstring

An scheduler is a component that manages the inference process. Different schedulers can be used to achieve different results like more detailed images, faster inference, or more accurate results. The default scheduler is the one that the model was trained with, but you can choose a different one to get different results. Schedulers are explained in more detail in the Schedulers page.

Seedseedstring

A seed is a value used to randomize the image generation. If you want to make images reproducible (generate the same image multiple times), you can use the same seed value. When requesting multiple images with the same seed, the seed will be incremented by 1 (+1) for each image generated. Min: 0 Max: 9223372036854776000. Defaults to Random.

Number Of ResultsnumberResultsinteger

The number of images to generate from the specified prompt. If Seed is set, it will be incremented by 1 (+1) for each image generated.

Action Authentication

Runware uses API keys for authentication. When you connect your Runware account, Pipedream securely stores the keys so you can easily authenticate to Runware APIs in both code and no-code steps.

About Runware

Low Cost, Ultra-Fast Stable Diffusion API

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