# stableDiffusionGenerateImage

## Description

Generate an image from a text prompt.

## Parameters

| Parameter | Type   | Description                 |
| --------- | ------ | --------------------------- |
| prompt    | string | prompt to generate an image |

## Response

| Parameter | Type   | Description                                                                |
| --------- | ------ | -------------------------------------------------------------------------- |
| image     | string | base64 of the generated image                                              |
| message   | string | text message about the response                                            |
| status    | int    | <p>0 for any error in request execution<br>1 for successfull execution</p> |
|           |        |                                                                            |

## Example Request and Response

### Prerequisites

Before making requests with NO.AI SDK, you must have it installed.

You can install NO.AI SDK using either `npm` or `yarn`. Use the following commands to install NO.AI SDK:

```sh
npm install @nest25/ai-core-sdk
OR
yarn add @nest25/ai-core-sdk
```

## Request

Here is an example of how to make a `stableDiffusionGenerateImage` request using the NO.AI SDK:

```javascript
// import the ai-core-sdk
import {AIServices} from '@nest25/ai-core-sdk';

// create a new instance of the sdk
const aiServices = new AIServices();

async function main() {
  // get the result of the test
  const result = await aiServices.stableDiffusionGenerateImage('this is a prompt.');
  console.log(result);
}

main();
```

## Response

```json
{
    "image": BASE64 OF THE IMAGE,
    "message": "Request successful",
    "status": 1
}
```


---

# Agent Instructions: Querying This Documentation

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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.non-obvious.ai/sdks-guide/ai-guide/stable-diffusion/stablediffusiongenerateimage.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
