← AWS + DreamStudio (Stable Diffusion) integrations

Generate Image with DreamStudio (Stable Diffusion) API on New Records Returned by CloudWatch Logs Insights Query from AWS API

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New Records Returned by CloudWatch Logs Insights Query from the AWS 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 AWS 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 Records Returned by CloudWatch Logs Insights Query trigger
    1. Connect your AWS account
    2. Select a AWS Region
    3. Select one or more CloudWatch Log Groups
    4. Configure Logs Insights Query
    5. Optional- Configure Emit query results as a single event
    6. Configure Polling schedule
  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:Executes a CloudWatch Logs Insights query on a schedule, and emits the records as invidual events (default) or in batch
Version:0.2.2
Key:aws-new-records-returned-by-cloudwatch-logs-insights-query

AWS Overview

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Trigger Code

import common from "../../common/common-cloudwatch-logs.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

export default {
  ...common,
  key: "aws-new-records-returned-by-cloudwatch-logs-insights-query",
  name: "New Records Returned by CloudWatch Logs Insights Query",
  // eslint-disable-next-line pipedream/source-description
  description: "Executes a CloudWatch Logs Insights query on a schedule, and emits the records as invidual events (default) or in batch",
  version: "0.2.2",
  type: "source",
  props: {
    aws: common.props.aws,
    region: common.props.region,
    db: "$.service.db",
    // eslint-disable-next-line pipedream/props-label
    logGroupNames: {
      ...common.props.logGroupName,
      type: "string[]",
      description: "The log groups you'd like to query",
    },
    queryString: {
      label: "Logs Insights Query",
      description: "The query you'd like to run. See [this AWS doc](https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/CWL_QuerySyntax.html) for help with query syntax",
      type: "string",
    },
    emitResultsInBatch: {
      type: "boolean",
      label: "Emit query results as a single event",
      description: "If `true`, all events are emitted as an array, within a single Pipedream event. If `false`, each row of results is emitted as its own event. Defaults to `true`",
      optional: true,
      default: true,
    },
    timer: {
      label: "Polling schedule",
      description: "How often you want to query CloudWatch Logs Insights for results",
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  async run() {
    const now = +new Date();
    const startTime = this.db.get("startTime") || now - 1000 * 60 * 60;

    // First, start the query
    const params = {
      queryString: this.queryString,
      startTime,
      endTime: now,
      logGroupNames: this.logGroupNames,
    };

    const { queryId } = await this.startQuery(params);

    // Then poll for its status, emitting each record as its own event when completed
    async function sleep(ms) {
      return new Promise((r) => setTimeout(r, ms));
    }

    let result, res;
    do {
      await sleep(1000);
      res = await this.getQueryResults({
        queryId,
      });
      result = res.status;
    } while (result === "Running" || result === "Scheduled");

    if (result !== "Complete") {
      throw new Error(`Query ${queryId} failed with status ${result}`);
    }

    console.log(JSON.stringify(res, null, 2));
    const { results } = res;

    if (!results || !results.length) {
      console.log("No results, exiting");
      this.db.set("startTime", now);
      return;
    }

    if (this.emitResultsInBatch === true) {
      this.$emit(results, {
        summary: JSON.stringify(results),
      });
    } else {
      for (const item of results) {
        this.$emit(item, {
          summary: JSON.stringify(item),
        });
      }
    }

    // The next time this source runs, query for data starting now
    this.db.set("startTime", 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
AWSawsappThis component uses the AWS app.
AWS RegionregionstringSelect a value from the drop down menu.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
CloudWatch Log GroupslogGroupNamesstring[]Select a value from the drop down menu.
Logs Insights QueryqueryStringstring

The query you'd like to run. See this AWS doc for help with query syntax

Emit query results as a single eventemitResultsInBatchboolean

If true, all events are emitted as an array, within a single Pipedream event. If false, each row of results is emitted as its own event. Defaults to true

Polling scheduletimer$.interface.timer

How often you want to query CloudWatch Logs Insights for results

Trigger Authentication

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

Follow the AWS Instructions for creating an IAM user with an associated access and secret key.

As a best practice, attach the minimum set of IAM permissions necessary to perform the specific task in Pipedream. If your workflow only needs to perform a single API call, you should create a user and associate an IAM group / policy with permission to do only that task. You can create as many linked AWS accounts in Pipedream as you'd like.

Enter your access and secret key below.

About AWS

Amazon Web Services (AWS) offers reliable, scalable, and inexpensive cloud computing services.

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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