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@tomsons/dt-grpc-ts

v0.0.1

Published

gRPC client library for Draw Things

Readme

dt-grpc-ts

A simple gRPC client for Draw Things written in TypeScript for Node.js

A TypeScript/Node.js client library for the Draw Things gRPC API.

This library wraps the generated gRPC and FlatBuffers code into a user-friendly interface, making it easy to generate images, manage models, and interact with Draw Things programmatically.

Installation

npm install dt-grpc-ts
# or
yarn add dt-grpc-ts

Quick Start

Ensure your Draw Things app is running and the HTTP/gRPC server is enabled (usually on port 7859).

import { DTService, buildRequest } from 'dt-grpc-ts'

async function main() {
  // Connect to the Draw Things service
  const service = new DTService('localhost:7859')

  // Build a request
  const request = buildRequest({
    width: 512,
    height: 512,
    steps: 20,
    model: 'Generic (SD 1.5).ckpt' // Use exact model filename or name
  }, "a cute cat sitting on a park bench")

  // Generate the image
  console.log("Generating image...")
  const images = await service.generateImage(request)

  // Save the result
  await images[0].toFile('cat.png')
  console.log("Saved to cat.png")
}

main().catch(console.error)

Key Concepts

DTService

The main entry point. It handles the connection to the Draw Things gRPC server.

const service = new DTService('localhost:7859')

buildRequest

A helper to construct image generation requests. It supports method chaining for adding images, masks, hints (ControlNet), and overrides.

const req = buildRequest(config, prompt, negativePrompt)
  .addImage(await ImageBuffer.fromFile('input.png')) // For img2img
  .addHint('depth', await ImageBuffer.fromFile('depth_map.png'), 1.0) // ControlNet

ImageBuffer

A wrapper around image data, powered by sharp. It handles format conversions (Tensor <-> Buffer) and resizing automatically.

const img = await ImageBuffer.fromFile('image.png')
const resized = await resize(img, 512, 512)

Development

  1. Clone the repository.
  2. Install dependencies: yarn install
  3. Build the project: yarn build
  4. Run tests: yarn test

License

MIT