Generate Image with DreamStudio (Stable Diffusion) API on New Webhook Event (Instant) from Supabase API

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New Webhook Event (Instant) from the Supabase 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 Supabase 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 Webhook Event (Instant) trigger
1. Connect your Supabase account
2. Configure Table
3. Optional- Configure Row Identifier
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 Webhook Event (Instant) on Supabase

Description:Emit new event for every `insert`, `update`, or `delete` operation in a table. This source requires user configuration using the Supabase website. More information in the README. [Also see documentation here](https://supabase.com/docs/guides/database/webhooks#creating-a-webhook)

Version:0.0.5

Key:supabase-new-webhook-event

View on GitHub

Supabase Overview#

Supabase is a real-time backend-as-a-service that provides developers with a suite of tools to quickly build and scale their applications. It offers database storage, authentication, instant APIs, and real-time subscriptions. With the Supabase API, you can perform CRUD operations on your database, manage users, and listen to database changes in real time. When integrated with Pipedream, you can automate workflows that react to these database events, synchronize data across multiple services, or streamline user management processes.

Trigger Code#

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

export default {
  key: "supabase-new-webhook-event",
  name: "New Webhook Event (Instant)",
  description: "Emit new event for every `insert`, `update`, or `delete` operation in a table. This source requires user configuration using the Supabase website. More information in the README. [Also see documentation here](https://supabase.com/docs/guides/database/webhooks#creating-a-webhook)",
  version: "0.0.5",
  type: "source",
  props: {
    ...base.props,
    http: {
      type: "$.interface.http",
    },
  },
  hooks: {
    async deploy() {
      const client = await this.supabase._client();
      const query = client
        .from(this.table)
        .select()
        .range(0, constants.HISTORICAL_EVENT_LIMIT);
      const { data } = await query;
      for (const row of data) {
        this.$emit({
          record: row,
        }, {
          summary: "Historical row in table",
        });
      }
    },
  },
  async run(event) {
    const { body: data } = event;
    let summary = `New ${data.type} event in table`;
    if (data.record?.[this.rowIdentifier]) {
      summary = `${summary}: ${data.record[this.rowIdentifier]}`;
    }
    this.$emit(data, {
      summary,
    });
  },
};

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
Supabase	`supabase`	`app`	This component uses the Supabase app.
Table	`table`	`string`	The name of the table to watch for new rows
Row Identifier	`rowIdentifier`	`string`	The column name to use as the row identifier
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#

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

Supabase provides a Service Key to get started. You can find the service_role in the API Settings page.

Finding the Supabase subdomain

About Supabase#

Supabase is an open source Firebase alternative.

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.

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