← GitHub + DreamStudio (Stable Diffusion) integrations

Generate Image with DreamStudio (Stable Diffusion) API on New Card in Column (Classic Projects) from GitHub API

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New Card in Column (Classic Projects) from the GitHub 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 GitHub 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 Card in Column (Classic Projects) trigger
    1. Connect your GitHub account
    2. Select a Repository
    3. Select a Project
    4. Select a Column
  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 a (classic) project card is created or moved to a specific column. For Projects V2 use `New Issue with Status` trigger. [More information here](https://docs.github.com/en/issues/organizing-your-work-with-project-boards/tracking-work-with-project-boards/adding-issues-and-pull-requests-to-a-project-board)
Version:1.0.6
Key:github-new-card-in-column

GitHub Overview

The GitHub API is a powerful gateway to interaction with GitHub's vast web of data and services, offering a suite of endpoints to manipulate and retrieve information on repositories, pull requests, issues, and more. Harnessing this API on Pipedream, you can orchestrate automated workflows that respond to events in real-time, manage repository data, streamline collaborative processes, and connect GitHub with other services for a more integrated development lifecycle.

Trigger Code

import common from "../common/common-webhook.mjs";
import constants from "../common/constants.mjs";
import { getRelevantHeaders } from "../common/utils.mjs";

export default {
  ...common,
  key: "github-new-card-in-column",
  name: "New Card in Column (Classic Projects)",
  description: "Emit new event when a (classic) project card is created or moved to a specific column. For Projects V2 use `New Issue with Status` trigger. [More information here](https://docs.github.com/en/issues/organizing-your-work-with-project-boards/tracking-work-with-project-boards/adding-issues-and-pull-requests-to-a-project-board)",
  version: "1.0.6",
  type: "source",
  props: {
    ...common.props,
    project: {
      propDefinition: [
        common.props.github,
        "project",
        (c) => ({
          repoFullname: c.repoFullname,
        }),
      ],
    },
    column: {
      propDefinition: [
        common.props.github,
        "column",
        (c) => ({
          project: c.project,
        }),
      ],
      withLabel: true,
    },
  },
  methods: {
    ...common.methods,
    getWebhookEvents() {
      return [
        "project_card",
      ];
    },
    getThisColumnLabel() {
      if (typeof this.column ===  "object") {
        return this.column.label;
      }
      return this.column;
    },
    getThisColumnValue() {
      if (typeof this.column ===  "object") {
        return this.column.value;
      }
      return this.column;
    },
    isCardInThisColumn(card) {
      const { column_id: columnId } = card;
      return columnId === this.getThisColumnValue();
    },
    generateMeta(card) {
      return {
        id: card.id,
        summary: `New card in ${this.getThisColumnLabel()}: ${card.note}`,
        ts: Date.parse(card.updated_at),
      };
    },
    async loadHistoricalEvents() {
      const cards = await this.github.getProjectCards({
        columnId: this.getThisColumnValue(),
        per_page: constants.HISTORICAL_EVENTS,
      });
      for (const card of cards) {
        await this.processCard({
          card,
        });
      }
    },
    async processCard({
      card, headers = {},
    }) {
      const meta = this.generateMeta(card);
      const issue = await this.github.getIssueFromProjectCard({
        repoFullname: this.repoFullname,
        cardId: card.id,
      });
      this.$emit({
        card,
        issue,
        ...getRelevantHeaders(headers),
      }, meta);
    },
  },
  async run(event) {
    const {
      headers, body: { project_card: card },
    } = event;
    if (!card) {
      console.log("No card in event. Skipping event.");
      return;
    }

    if (!this.isCardInThisColumn(card)) {
      console.log(`Card not in ${this.getThisColumnLabel()}. Skipping...`);
      return;
    }

    await this.processCard({
      card,
      headers,
    });
  },
};

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
GitHubgithubappThis component uses the GitHub app.
RepositoryrepoFullnamestringSelect a value from the drop down menu.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
N/Ahttp$.interface.httpThis 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.
ProjectprojectintegerSelect a value from the drop down menu.
ColumncolumnintegerSelect a value from the drop down menu.

Trigger Authentication

GitHub uses OAuth authentication. When you connect your GitHub account, Pipedream will open a popup window where you can sign into GitHub and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any GitHub API.

Pipedream requests the following authorization scopes when you connect your account:

repoadmin:orgadmin:public_keyadmin:org_hookgistprojectnotificationsuserwrite:discussionwrite:packagesread:packagesadmin:repo_hook

About GitHub

Where the world builds software. Millions of developers and companies build, ship, and maintain their software on GitHub—the largest and most advanced development platform in the world.

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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