Upscale Image with DreamStudio (Stable Diffusion) API on New DynamoDB Stream Event from AWS API

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New DynamoDB Stream Event from the AWS API

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Upscale 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.

Select this integration
Configure the New DynamoDB Stream Event trigger
1. Connect your AWS account
2. Configure timer
3. Select a AWS Region
4. Select a Stream
Configure the Upscale Image action
1. Connect your DreamStudio (Stable Diffusion) account
2. Select a Organization Id
3. Select a Engine Id
4. Configure Image
5. Optional- Configure Height
6. Optional- Configure Width
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 DynamoDB Stream Event on AWS

Description:Emit new event when a DynamoDB stream receives new events. [See the docs here](https://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_streams_GetRecords.html)

Version:0.0.2

Key:aws-new-dynamodb-stream-event

View on GitHub

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-dynamodb-streams.mjs";

export default {
  ...common,
  key: "aws-new-dynamodb-stream-event",
  name: "New DynamoDB Stream Event",
  description: "Emit new event when a DynamoDB stream receives new events. [See the docs here](https://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_streams_GetRecords.html)",
  type: "source",
  version: "0.0.2",
  dedupe: "unique",
  props: {
    ...common.props,
    stream: {
      type: "string",
      label: "Stream",
      description: "ARN of the Stream to watch for new events",
      async options({ prevContext }) {
        const {
          streams,
          lastEvaluatedStreamArn,
        } = await this.listEnabledStreams({
          ExclusiveStartStreamArn: prevContext.lastEvaluatedStreamArn,
        });
        const options = streams.map((stream) => ({
          label: `${stream.TableName} - Created ${stream.StreamLabel}`,
          value: stream.StreamArn,
        }));
        return {
          options,
          context: {
            lastEvaluatedStreamArn,
          },
        };
      },
    },
  },
  hooks: {
    async deploy() {
      const { StreamDescription: streamDescription } = await this.listShards({
        StreamArn: this.stream,
      });
      const shardId = streamDescription.Shards[streamDescription.Shards.length - 1].ShardId;
      const { ShardIterator: shardIterator } = await this.getShardIterator({
        ShardId: shardId,
        StreamArn: this.stream,
        ShardIteratorType: "LATEST",
      });
      this._setShardIterator(shardIterator);
    },
  },
  methods: {
    ...common.methods,
    _getShardIterator() {
      return this.db.get("shardIterator");
    },
    _setShardIterator(shardIterator) {
      this.db.set("shardIterator", shardIterator);
    },
    generateMeta({
      eventID, eventName, dynamodb,
    }) {
      return {
        id: eventID,
        summary: `New ${eventName} event`,
        ts: Date.parse(dynamodb.ApproximateCreationDateTime),
      };
    },
  },
  async run() {
    if (!(await this.isStreamEnabled(this.stream))) {
      throw new Error("Stream is no longer enabled.");
    }

    const shardIterator = this._getShardIterator();

    const {
      Records: records, NextShardIterator: nextShardIterator,
    } = await this.getRecords({
      ShardIterator: shardIterator,
    });

    for (const record of records) {
      const meta = this.generateMeta(record);
      this.$emit(record, meta);
    }

    this._setShardIterator(nextShardIterator);
  },
};

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
AWS	`aws`	`app`	This component uses the AWS app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
AWS Region	`region`	`string`	Select a value from the drop down menu.
Stream	`stream`	`string`	Select a value from the drop down menu.

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#

Upscale Image on DreamStudio (Stable Diffusion)

Description:Create a higher resolution version of an input image. [See the documentation](https://platform.stability.ai/docs/api-reference#tag/v1generation/operation/upscaleImage)

Version:0.0.2

Key:dreamstudio-upscale-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 FormData from "form-data";
import fs from "node:fs";
import {
  getImagePath, writeImg,
} from "../../common/utils.mjs";
import common from "../common/images.mjs";

export default {
  ...common,
  key: "dreamstudio-upscale-image",
  name: "Upscale Image",
  version: "0.0.2",
  description: "Create a higher resolution version of an input image. [See the documentation](https://platform.stability.ai/docs/api-reference#tag/v1generation/operation/upscaleImage)",
  type: "action",
  props: {
    ...common.props,
    image: {
      type: "string",
      label: "Image",
      description: "Image used to upscale. It can be an URL to the image or a path to the image file saved to the `/tmp` directory (e.g. `/tmp/image.png`). [see docs here](https://pipedream.com/docs/workflows/steps/code/nodejs/working-with-files/#the-tmp-directory).",
    },
    height: {
      propDefinition: [
        common.props.dreamstudio,
        "height",
      ],
      optional: true,
    },
    width: {
      propDefinition: [
        common.props.dreamstudio,
        "width",
      ],
      optional: true,
    },
  },
  async run({ $ }) {
    const {
      dreamstudio,
      organizationId,
      engineId,
      image,
      ...appendData
    } = this;

    const formData = new FormData();

    const imagePath = await getImagePath(image);
    formData.append("image", fs.readFileSync(imagePath));
    for (const [
      label,
      value,
    ] of Object.entries(appendData)) {
      formData.append(label, value.toString());
    }

    const response = await dreamstudio.upscaleImage({
      $,
      engineId,
      headers: {
        organization: organizationId,
        ...formData.getHeaders(),
      },
      data: formData,
    });

    const paths = await writeImg(response.artifacts);

    $.export("$summary", `The image was successfully upscaled 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.
Image	`image`	`string`	Image used to upscale. It can be an URL to the image or a path to the image file saved to the `/tmp` directory (e.g. `/tmp/image.png`). see docs here.
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

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

More Ways to Connect DreamStudio (Stable Diffusion) + AWS#

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Pipedream makes it easy to connect APIs for DreamStudio (Stable Diffusion), AWS and 2,400+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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