Generate Image with DreamStudio (Stable Diffusion) API on New Column from MySQL API

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New Column 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.

Select this integration
Configure the New Column trigger
1. Connect your MySQL account
2. Configure timer
3. Select a Table
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
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 Column on MySQL

Description:Emit new event when you add a new column to a table. [See the docs here](https://dev.mysql.com/doc/refman/8.0/en/show-columns.html)

Version:2.0.5

Key:mysql-new-column

View on GitHub

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";

export default {
  ...common,
  key: "mysql-new-column",
  name: "New Column",
  description: "Emit new event when you add a new column to a table. [See the docs here](https://dev.mysql.com/doc/refman/8.0/en/show-columns.html)",
  type: "source",
  version: "2.0.5",
  dedupe: "unique",
  props: {
    ...common.props,
    db: "$.service.db",
  },
  methods: {
    ...common.methods,
    _getPreviousColumns() {
      return this.db.get("previousColumns");
    },
    _setPreviousColumns(previousColumns) {
      this.db.set("previousColumns", previousColumns);
    },
    async listResults() {
      const { table } = this;
      let previousColumns = this._getPreviousColumns() || [];
      const columns = await this.mysql.listNewColumns({
        table,
        previousColumns,
      });
      this.iterateAndEmitEvents(columns);

      const newColumnNames =
        columns
          .map((column) => column.Field)
          .filter((c) => !previousColumns.includes(c));

      previousColumns = previousColumns.concat(newColumnNames);
      this._setPreviousColumns(previousColumns);
    },
    generateMeta(column) {
      const columnName = column.Field;
      return {
        id: `${columnName}${this.table}`,
        summary: columnName,
        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.

Label	Prop	Type	Description
MySQL	`mysql`	`app`	This component uses the MySQL app.
	`timer`	`$.interface.timer`
Table	`table`	`string`	Select a value from the drop down menu.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.

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.

Connecting to Restricted Databases

Either enable the shared static IP for this account below, or configure a VPC to deploy any workflow in your workspace to a private network with a dedicated static IP. Learn more in our docs.

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#

Generate Image on DreamStudio (Stable Diffusion)

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

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 {
  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.

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}`
Height	`height`	`integer`	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
Width	`width`	`integer`	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 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.

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.