Generate Image with DreamStudio (Stable Diffusion) API on New Stories by Keyword from Hacker News API

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New Stories by Keyword from the Hacker News 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 Hacker News 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 Stories by Keyword trigger
1. Connect your Hacker News account
2. Configure timer
3. Optional- Configure Keyword
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 Stories by Keyword on Hacker News

Description:Emit new stories that mention a specific keyword

Version:0.0.4

Key:hacker_news-new-stories-by-keyword

View on GitHub

Hacker News Overview#

The Hacker News API on Pipedream allows you to tap into the vibrant pool of stories, comments, and user data from one of tech's favorite forums. By leveraging this API, you can automate the process of extracting data for analysis, tracking mentions of specific topics, or even monitoring the performance of your own submissions. The real power lies in integrating this wealth of information with other services to create custom, automated workflows that save time and keep you informed.

Trigger Code#

const Parser = require("rss-parser");
const hacker_news = require("../../hacker_news.app.js");
const { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } = require("@pipedream/platform");

const parser = new Parser();

module.exports = {
  key: "hacker_news-new-stories-by-keyword",
  name: "New Stories by Keyword",
  description: "Emit new stories that mention a specific keyword",
  version: "0.0.4",
  type: "source",
  props: {
    hacker_news,
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    db: "$.service.db",
    // If you want a single search feed but multiple keywords, separate the keywords with " OR ":
    keyword: {
      type: "string",
      label: "Keyword",
      description: "Keyword to watch. Matches story titles. Leave blank to get all stories.",
      optional: true,
      default: "",
    },
  },
  methods: {
    // in theory if alternate setting title and description or aren't unique this won't work
    itemKey(item) {
      return item.guid || item.id || item.title || item.description;
    },
  },
  async run() {
    const seenKeys = this.db.get("seenKeys") || [];
    const seenKeysMap = seenKeys.reduce((acc, v) => {
      acc[v] = true;
      return acc;
    }, {});
    // All elements of an item are optional,
    // however at least one of title or description must be present.
    // should be listed from most recent to least recent
    const feed = await parser.parseURL(`https://hnrss.org/newest?q=${encodeURIComponent(this.keyword)}`);
    for (let idx = feed.items.length - 1; idx >= 0; idx--) {
      const item = feed.items[idx];
      const key = this.itemKey(item);
      // XXX throw if !key?
      if (seenKeysMap[key]) continue;
      seenKeys.unshift(key);
      seenKeysMap[key] = true; // just in case of dupes
      this.$emit(item, {
        id: this.itemKey(item),
        summary: item.title,
        ts: item.pubdate && +new Date(item.pubdate),
      });
    }
    if (seenKeys.length) {
      // XXX restrict by byte size instead of el size
      this.db.set("seenKeys", seenKeys.slice(0, 1000));
    }
  },
};

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
Hacker News	`hacker_news`	`app`	This component uses the Hacker News app.
	`timer`	`$.interface.timer`
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Keyword	`keyword`	`string`	Keyword to watch. Matches story titles. Leave blank to get all stories.

Trigger Authentication#

The Hacker News API does not require authentication.

About Hacker News#

Social news website

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.