← MySQL + DreamStudio (Stable Diffusion) integrations

Generate Image with DreamStudio (Stable Diffusion) API on New or Updated Row from MySQL API

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Trigger workflow on
New or Updated Row from the MySQL API
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Generate Image with the DreamStudio (Stable Diffusion) API
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Getting Started

This integration creates a workflow with a MySQL trigger and DreamStudio (Stable Diffusion) 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 or Updated Row trigger
    1. Connect your MySQL account
    2. Configure timer
    3. Select a Table
    4. Select a Order By
  3. Configure the Generate Image action
    1. Connect your DreamStudio (Stable Diffusion) account
    2. Select a Organization Id
    3. Select a Engine Id
    4. Configure Text Prompts
    5. Optional- Configure Height
    6. Optional- Configure Width
    7. Optional- Configure Cfg Scale
    8. Optional- Select a Clip Guidance Preset
    9. Optional- Select a Sampler
    10. Optional- Configure Samples
    11. Optional- Configure Seed
    12. Optional- Configure Steps
    13. Optional- Select a Style Preset
    14. Optional- Configure Extras
  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 when you add or modify a new row in a table. [See the docs here](https://dev.mysql.com/doc/refman/8.0/en/select.html)
Version:2.0.4
Key:mysql-new-or-updated-row

MySQL Overview

The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.

Trigger Code

import common from "../common/table.mjs";
import { v4 as uuidv4 } from "uuid";

const { mysql } = common.props;

export default {
  ...common,
  key: "mysql-new-or-updated-row",
  name: "New or Updated Row",
  description: "Emit new event when you add or modify a new row in a table. [See the docs here](https://dev.mysql.com/doc/refman/8.0/en/select.html)",
  type: "source",
  version: "2.0.4",
  dedupe: "unique",
  props: {
    ...common.props,
    db: "$.service.db",
    column: {
      propDefinition: [
        mysql,
        "column",
        (c) => ({
          table: c.table,
        }),
      ],
      label: "Order By",
      description:
        "A datetime column, such as 'date_updated' or 'last_modified' that is set to the current datetime when a row is updated.",
    },
  },
  hooks: {
    async deploy() {
      await this.listTopRows(this.column);
    },
  },
  methods: {
    ...common.methods,
    async listResults() {
      await this.listRowResults(this.column);
    },
    generateMeta(row) {
      return {
        id: uuidv4(),
        summary: `New Row Added/Updated ${row[this.column]}`,
        ts: Date.now(),
      };
    },
  },
};

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
MySQLmysqlappThis component uses the MySQL app.
timer$.interface.timer
TabletablestringSelect a value from the drop down menu.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Order BycolumnstringSelect a value from the drop down menu.

Trigger Authentication

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

Before you connect to your MySQL database from Pipedream, please make sure your database is either:

  1. Accessible from the public internet (You may need to add a firewall rule on 0.0.0.0/0 on port 3306), or
  2. Accessible from a static IP that you've configured using a VPC in Pipedream, and enabled the workflow to connect through that VPC

SSL Setup

Configure SSL on your MySQL database by providing the CA (Certificate Authority), and choosing between Full Verification, Verify Certificate Authority (CA), or Skip Verification. Skipping verification is not recommended as this has serious security implications.

About MySQL

MySQL is an open-source relational database management system.

Action

Description:Generate a new image from a text prompt. [See the documentation](https://platform.stability.ai/docs/api-reference#tag/v1generation/operation/textToImage)
Version:0.0.2
Key:dreamstudio-generate-image

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 {
  parsePrompts, writeImg,
} from "../../common/utils.mjs";
import common from "../common/images.mjs";

export default {
  ...common,
  key: "dreamstudio-generate-image",
  name: "Generate Image",
  version: "0.0.2",
  description: "Generate a new image from a text prompt. [See the documentation](https://platform.stability.ai/docs/api-reference#tag/v1generation/operation/textToImage)",
  type: "action",
  props: {
    ...common.props,
    textPrompts: {
      propDefinition: [
        common.props.dreamstudio,
        "textPrompts",
      ],
    },
    height: {
      propDefinition: [
        common.props.dreamstudio,
        "height",
      ],
      optional: true,
    },
    width: {
      propDefinition: [
        common.props.dreamstudio,
        "width",
      ],
      optional: true,
    },
    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,
    },
  },
  async run({ $ }) {
    const {
      dreamstudio,
      engineId,
      textPrompts,
      cfgScale,
      clipGuidancePreset,
      stylePreset,
      ...data
    } = this;

    const response = await dreamstudio.generateImage({
      $,
      engineId,
      data: {
        text_prompts: parsePrompts(textPrompts),
        cfg_scale: cfgScale,
        clip_guidance_preset: clipGuidancePreset,
        style_preset: stylePreset,
        ...data,
      },
    });

    const paths = await writeImg(response.artifacts);

    $.export("$summary", `${response.artifacts.length} new image${response.artifacts.length > 1
      ?
      "s where"
      :
      " was"} successfully generated 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.

LabelPropTypeDescription
DreamStudio (Stable Diffusion)dreamstudioappThis component uses the DreamStudio (Stable Diffusion) app.
Organization IdorganizationIdstringSelect a value from the drop down menu.
Engine IdengineIdstringSelect a value from the drop down menu.
Text PromptstextPromptsstring[]

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}

Heightheightinteger

Height of the image in pixels. Must be in increments of 64 and pass the following validation: For 512 engines: 262,144 ≤ height * width ≤ 1,048,576. For 768 engines: 589,824 ≤ height * width ≤ 1,048,576. For SDXL Beta: can be as low as 128 and as high as 896 as long as width is not greater than 512. If width is greater than 512 then this can be at most 512. For SDXL v0.9: valid dimensions are 1024x1024, 1152x896, 1216x832, 1344x768, 1536x640, 640x1536, 768x1344, 832x1216, or 896x1152. For SDXL v1.0: valid dimensions are the same as SDXL v0.9

Widthwidthinteger

Width of the image in pixels. Must be in increments of 64 and pass the following validation: For 512 engines: 262,144 ≤ height * width ≤ 1,048,576. For 768 engines: 589,824 ≤ height * width ≤ 1,048,576. For SDXL Beta: can be as low as 128 and as high as 896 as long as height is not greater than 512. If height is greater than 512 then this can be at most 512. For SDXL v0.9: valid dimensions are 1024x1024, 1152x896, 1216x832, 1344x768, 1536x640, 640x1536, 768x1344, 832x1216, or 896x1152. For SDXL v1.0: valid dimensions are the same as SDXL v0.9

Cfg ScalecfgScaleinteger

How strictly the diffusion process adheres to the prompt text (higher values keep your image closer to your prompt).

Clip Guidance PresetclipGuidancePresetstringSelect a value from the drop down menu:FAST_BLUEFAST_GREENNONESIMPLESLOWSLOWERSLOWEST
SamplersamplerstringSelect a value from the drop down menu:DDIMDDPMK_DPMPP_2MK_DPMPP_2S_ANCESTRALK_DPM_2K_DPM_2_ANCESTRALK_EULERK_EULER_ANCESTRALK_HEUNK_LMS
Samplessamplesinteger

Number of images to generate

Seedseedinteger

Random noise seed (omit this option or use 0 for a random seed).

Stepsstepsinteger

Number od diffusion steps to run.

Style PresetstylePresetstringSelect a value from the drop down menu:3d-modelanalog-filmanimecinematiccomic-bookdigital-artenhancefantasy-artisometricline-artlow-polymodeling-compoundneon-punkorigamiphotographicpixel-arttile-texture
Extrasextrasobject

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.

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.

About DreamStudio (Stable Diffusion)

DreamStudio is an easy-to-use interface for creating images using the latest version of the Stable Diffusion image generation model

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