Modify Image with DreamStudio (Stable Diffusion) API on New Contact from Twilio SendGrid API

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New Contact from the Twilio SendGrid API

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Modify Image with the DreamStudio (Stable Diffusion) API

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Getting Started#

This integration creates a workflow with a Twilio SendGrid trigger and DreamStudio (Stable Diffusion) action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Contact trigger
1. Connect your Twilio SendGrid account
2. Configure timer
Configure the Modify Image action
1. Connect your DreamStudio (Stable Diffusion) account
2. Select a Organization Id
3. Select a Engine Id
4. Configure Text Prompts
5. Configure Init Image
6. Optional- Configure Cfg Scale
7. Optional- Select a Clip Guidance Preset
8. Optional- Select a Sampler
9. Optional- Configure Samples
10. Optional- Configure Seed
11. Optional- Configure Steps
12. Optional- Select a Style Preset
13. Optional- Configure Extras
14. Optional- Select a Init Image Mode
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#

New Contact on Twilio SendGrid

Description:Emit new event when a new contact is created

Version:0.0.7

Key:sendgrid-new-contact

View on GitHub

Twilio SendGrid Overview#

The Twilio SendGrid API opens up a world of possibilities for email automation, enabling you to send emails efficiently and track their performance. With this API, you can programmatically create and send personalized email campaigns, manage contacts, and parse inbound emails for data extraction. When you harness the power of Pipedream, you can connect SendGrid to hundreds of other apps to automate workflows, such as triggering email notifications based on specific actions, syncing email stats with your analytics, or handling incoming emails to create tasks or tickets.

Trigger Code#

import orderBy from "lodash/orderBy.js";
import common from "../common/timer-based.mjs";

export default {
  ...common,
  key: "sendgrid-new-contact",
  name: "New Contact",
  description: "Emit new event when a new contact is created",
  version: "0.0.7",
  type: "source",
  dedupe: "unique",
  hooks: {
    async activate() {
      const currentTimestamp = Date.now();
      const state = {
        processedItems: [],
        lowerTimestamp: currentTimestamp,
        upperTimestamp: currentTimestamp,
      };
      this.db.set("state", state);
    },
  },
  methods: {
    ...common.methods,
    _maxDelayTime() {
      // There is no report from SendGrid as to how much time it takes
      // for a contact to be created and appear in search results, so
      // we're using a rough estimate of 30 minutes here.
      return 30 * 60 * 1000;  // 30 minutes, in milliseconds
    },
    _addDelayOffset(timestamp) {
      return timestamp - this._maxDelayTime();
    },
    _cleanupOldProcessedItems(processedItems, currentTimestamp) {
      return processedItems
        .map((item) => ({
          // We just need to keep track of the record ID and
          // its creation date.
          id: item.id,
          created_at: item.created_at,
        }))
        .filter((item) => {
          const { created_at: createdAt } = item;
          const createdAtTimestamp = Date.parse(createdAt);
          const cutoffTimestamp = this._addDelayOffset(currentTimestamp);
          return createdAtTimestamp > cutoffTimestamp;
        });
    },
    _makeSearchQuery(processedItems, lowerTimestamp, upperTimestamp) {
      const idList = processedItems
        .map((item) => item.id)
        .map((id) => `'${id}'`)
        .join(", ")
      || "''";
      const startTimestamp = this._addDelayOffset(lowerTimestamp);
      const startDate = this.toISOString(startTimestamp);
      const endDate = this.toISOString(upperTimestamp);
      return `
        contact_id NOT IN (${idList}) AND
        created_at BETWEEN
          TIMESTAMP '${startDate}' AND
          TIMESTAMP '${endDate}'
      `;
    },
    generateMeta(data) {
      const {
        item,
        eventTimestamp: ts,
      } = data;
      const {
        id,
        email,
      } = item;
      const slugifiedEmail = this.slugifyEmail(email);
      const summary = `New contact: ${slugifiedEmail}`;
      return {
        id,
        summary,
        ts,
      };
    },
    async processEvent(event) {
      // Transform the timer timestamp to milliseconds
      // to be consistent with how Javascript handles timestamps.
      const eventTimestamp = event.timestamp * 1000;

      // Retrieve the current state of the component.
      const {
        processedItems,
        lowerTimestamp,
        upperTimestamp,
      } = this.db.get("state");

      // Search for contacts within a specific timeframe, excluding
      // items that have already been processed.
      const query = this._makeSearchQuery(processedItems, lowerTimestamp, upperTimestamp);
      const {
        result: items,
        contact_count: contactCount,
      } = await this.sendgrid.searchContacts(query);

      // If no contacts have been retrieved via the API,
      // move the time window forward to possibly capture newer contacts.
      if (contactCount === 0) {
        const newState = {
          processedItems: this._cleanupOldProcessedItems(processedItems, lowerTimestamp),
          lowerTimestamp: upperTimestamp,
          upperTimestamp: eventTimestamp,
        };
        this.db.set("state", newState);
        return;
      }

      // We process the searched records from oldest to newest.
      const itemsToProcess = orderBy(items, "created_at");
      itemsToProcess
        .forEach((item) => {
          const meta = this.generateMeta({
            item,
            eventTimestamp,
          });
          this.$emit(item, meta);
        });

      // Use the timestamp of the last processed record as a lower bound for
      // following searches. This bound will be subjected to an offset so in
      // case older records appear in future search results, but have not
      // appeared until now, can be processed. We only adjust it if it means
      // moving forward, not backwards. Otherwise, we might start retrieving
      // older and older records indefinitely (and we're all about *new*
      // records!)
      const newLowerTimestamp = Math.max(
        lowerTimestamp,
        Date.parse(itemsToProcess[0].created_at),
      );

      // If the total contact count is less than 100, it means that during the
      // next iteration the search results count will most likely be less than
      // 50. In that case, if we extend the upper bound of the search time range
      // we might be able to retrieve more records.
      const newUpperTimestamp = contactCount < 100
        ? eventTimestamp
        : upperTimestamp;

      // The list of processed items can grow indefinitely.
      // Since we don't want to keep track of every processed record
      // ever, we need to clean up this list, removing any records
      // that are no longer relevant.
      const newProcessedItems = this._cleanupOldProcessedItems(
        [
          ...processedItems,
          ...itemsToProcess,
        ],
        newLowerTimestamp,
      );

      // Update the state of the component to reflect the computations
      // made above.
      const newState = {
        processedItems: newProcessedItems,
        lowerTimestamp: newLowerTimestamp,
        upperTimestamp: newUpperTimestamp,
      };
      this.db.set("state", newState);
    },
  },
};

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
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Twilio SendGrid	`sendgrid`	`app`	This component uses the Twilio SendGrid app.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

About Twilio SendGrid#

Send marketing and transactional email through the Twilio SendGrid platform with the Email API, proprietary mail transfer agent, and infrastructure for scalable delivery.

Action#

Modify Image on DreamStudio (Stable Diffusion)

Description:Modify an image based on a text prompt. [See the documentation](https://platform.stability.ai/docs/api-reference#tag/v1generation/operation/imageToImage)

Version:0.0.2

Key:dreamstudio-modify-image

View on GitHub

DreamStudio (Stable Diffusion) Overview#

The DreamStudio (Stable Diffusion) API taps into the power of AI to generate creative visual content from textual descriptions. With Pipedream, you can automate the process of creating images, integrate with various apps, and build complex workflows without servers. You can trigger image generation on demand, process user inputs, or schedule image creation - All seamlessly within Pipedream's ecosystem.

Action Code#

import FormData from "form-data";
import fs from "node:fs";
import {
  getImagePath, parsePrompts, writeImg,
} from "../../common/utils.mjs";
import common from "../common/images.mjs";

export default {
  ...common,
  key: "dreamstudio-modify-image",
  name: "Modify Image",
  version: "0.0.2",
  description: "Modify an image based on a text prompt. [See the documentation](https://platform.stability.ai/docs/api-reference#tag/v1generation/operation/imageToImage)",
  type: "action",
  props: {
    ...common.props,
    textPrompts: {
      propDefinition: [
        common.props.dreamstudio,
        "textPrompts",
      ],
    },
    initImage: {
      type: "string",
      label: "Init Image",
      description: "Image used to initialize the diffusion process, in lieu of random noise. It can be an URL to the image or a path to the image file saved to the `/tmp` directory (e.g. `/tmp/image.png`). [see docs here](https://pipedream.com/docs/workflows/steps/code/nodejs/working-with-files/#the-tmp-directory).",
    },
    cfgScale: {
      propDefinition: [
        common.props.dreamstudio,
        "cfgScale",
      ],
      optional: true,
    },
    clipGuidancePreset: {
      propDefinition: [
        common.props.dreamstudio,
        "clipGuidancePreset",
      ],
      optional: true,
    },
    sampler: {
      propDefinition: [
        common.props.dreamstudio,
        "sampler",
      ],
      optional: true,
    },
    samples: {
      propDefinition: [
        common.props.dreamstudio,
        "samples",
      ],
      optional: true,
    },
    seed: {
      propDefinition: [
        common.props.dreamstudio,
        "seed",
      ],
      optional: true,
    },
    steps: {
      propDefinition: [
        common.props.dreamstudio,
        "steps",
      ],
      optional: true,
    },
    stylePreset: {
      propDefinition: [
        common.props.dreamstudio,
        "stylePreset",
      ],
      optional: true,
    },
    extras: {
      propDefinition: [
        common.props.dreamstudio,
        "extras",
      ],
      optional: true,
    },
    initImageMode: {
      type: "string",
      label: "Init Image Mode",
      description: "Used to control how much influence the `init image` has on the result.",
      options: [
        "IMAGE_STRENGTH",
        "STEP_SCHEDULE",
      ],
      reloadProps: true,
      optional: true,
    },
  },
  async additionalProps() {
    const props = {};
    if (this.initImageMode === "STEP_SCHEDULE") {
      props.stepScheduleStart = {
        type: "string",
        label: "Step Schedule Start",
        description: "Skips a proportion of the start of the diffusion steps, allowing the init_image to influence the final generated image. Lower values will result in more influence from the init_image, while higher values will result in more influence from the diffusion steps. (e.g. a value of `0` would simply return you the init_image, where a value of `1` would return you a completely different image).",
        optional: true,
      };
      props.stepScheduleEnd = {
        type: "string",
        label: "Step Schedule End",
        description: "Skips a proportion of the end of the diffusion steps, allowing the init_image to influence the final generated image. Lower values will result in more influence from the init_image, while higher values will result in more influence from the diffusion steps.",
        optional: true,
      };
    }
    return props;
  },
  async run({ $ }) {
    const {
      dreamstudio,
      organizationId,
      engineId,
      textPrompts,
      initImage,
      initImageMode,
      cfgScale,
      clipGuidancePreset,
      stylePreset,
      stepScheduleStart,
      stepScheduleEnd,
      ...appendData
    } = this;
    const formData = new FormData();

    const parsedPrompts = parsePrompts(textPrompts);
    let i = 0;
    for (const prompt of parsedPrompts) {
      formData.append(`text_prompts[${i}][text]`, prompt.text);
      formData.append(`text_prompts[${i}][weight]`, prompt.weight);
      i++;
    }

    const imagePath = await getImagePath(initImage);
    formData.append("init_image", fs.readFileSync(imagePath));
    initImageMode && formData.append("init_image_mode", initImageMode);
    cfgScale && formData.append("cfg_scale", cfgScale);
    clipGuidancePreset && formData.append("clip_guidance_preset", clipGuidancePreset);
    stylePreset && formData.append("style_preset", stylePreset);
    stepScheduleStart && formData.append("step_schedule_start", stepScheduleStart);
    stepScheduleEnd && formData.append("step_schedule_end", stepScheduleEnd);

    for (const [
      label,
      value,
    ] of Object.entries(appendData)) {
      formData.append(label, value.toString());
    }

    const response = await dreamstudio.modifyImage({
      $,
      engineId,
      headers: {
        organization: organizationId,
        ...formData.getHeaders(),
      },
      data: formData,
    });

    const paths = await writeImg(response.artifacts);

    $.export("$summary", `The image was successfully modified and sent to ${paths.toString()}!`);
    return {
      ...response,
      tmpPaths: paths,
    };
  },
};

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
DreamStudio (Stable Diffusion)	`dreamstudio`	`app`	This component uses the DreamStudio (Stable Diffusion) app.
Organization Id	`organizationId`	`string`	Select a value from the drop down menu.
Engine Id	`engineId`	`string`	Select a value from the drop down menu.
Text Prompts	`textPrompts`	`string[]`	An array of valid JSON objects to use for generation. The JSON object must have the text and the weight. e.g.`{"text": "A lighthouse on a cliff", "weight": 0.5}`
Init Image	`initImage`	`string`	Image used to initialize the diffusion process, in lieu of random noise. It can be an URL to the image or a path to the image file saved to the `/tmp` directory (e.g. `/tmp/image.png`). see docs here.
Cfg Scale	`cfgScale`	`integer`	How strictly the diffusion process adheres to the prompt text (higher values keep your image closer to your prompt).
Clip Guidance Preset	`clipGuidancePreset`	`string`	Select a value from the drop down menu:`FAST_BLUEFAST_GREENNONESIMPLESLOWSLOWERSLOWEST`
Sampler	`sampler`	`string`	Select a value from the drop down menu:`DDIMDDPMK_DPMPP_2MK_DPMPP_2S_ANCESTRALK_DPM_2K_DPM_2_ANCESTRALK_EULERK_EULER_ANCESTRALK_HEUNK_LMS`
Samples	`samples`	`integer`	Number of images to generate
Seed	`seed`	`integer`	Random noise seed (omit this option or use `0` for a random seed).
Steps	`steps`	`integer`	Number od diffusion steps to run.
Style Preset	`stylePreset`	`string`	Select a value from the drop down menu:`3d-modelanalog-filmanimecinematiccomic-bookdigital-artenhancefantasy-artisometricline-artlow-polymodeling-compoundneon-punkorigamiphotographicpixel-arttile-texture`
Extras	`extras`	`object`	Extra parameters passed to the engine. These parameters are used for in-development or experimental features and may charge without werning, so please use with caution.
Init Image Mode	`initImageMode`	`string`	Select a value from the drop down menu:`IMAGE_STRENGTHSTEP_SCHEDULE`

Action Authentication#

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

Visit https://beta.dreamstudio.ai/account to find your API key and enter it below.