---
title: "VertexAIImageGenerator"
id: vertexaiimagegenerator
slug: "/vertexaiimagegenerator"
description: "This component enables image generation using Google Vertex AI generative model."
---

# VertexAIImageGenerator

This component enables image generation using Google Vertex AI generative model.

<div className="key-value-table">

|  |  |
| --- | --- |
| **Mandatory run variables** | `prompt`: A string containing the prompt for the model                                                      |
| **Output variables**        | `images`: A list of [`ByteStream`](../../concepts/data-classes.mdx#bytestream)  containing images generated by the model |
| **API reference**           | [Google Vertex](/reference/integrations-google-vertex)                                                             |
| **GitHub link**             | https://github.com/deepset-ai/haystack-core-integrations/tree/main/integrations/google_vertex             |

</div>

`VertexAIImageGenerator` supports the `imagegeneration` model.

### Parameters Overview

`VertexAIImageGenerator` uses Google Cloud Application Default Credentials (ADCs) for authentication. For more information on how to set up ADCs, see the [official documentation](https://cloud.google.com/docs/authentication/provide-credentials-adc).

Keep in mind that it’s essential to use an account that has access to a project authorized to use Google Vertex AI endpoints.

You can find your project ID in the [GCP resource manager](https://console.cloud.google.com/cloud-resource-manager) or locally by running `gcloud projects list` in your terminal. For more info on the gcloud CLI, see its [official documentation](https://cloud.google.com/cli).

## Usage

You need to install `google-vertex-haystack` package to use the  `VertexAIImageGenerator`:

```python
pip install google-vertex-haystack
```

### On its own

Basic usage:

```python
from pathlib import Path

from haystack_integrations.components.generators.google_vertex import (
    VertexAIImageGenerator,
)

generator = VertexAIImageGenerator()
result = generator.run(prompt="Generate an image of a cute cat")
result["images"][0].to_file(Path("my_image.png"))
```

You can also set other parameters like the number of images generated and the guidance scale to change the strength of the prompt.

Let’s also use a negative prompt to omit something from the image:

```python
from pathlib import Path

from haystack_integrations.components.generators.google_vertex import (
    VertexAIImageGenerator,
)

generator = VertexAIImageGenerator(
    number_of_images=3,
    guidance_scale=12,
)

result = generator.run(
    prompt="Generate an image of a cute cat",
    negative_prompt="window, chair",
)

for i, image in enumerate(result["images"]):
    images.to_file(Path(f"image_{i}.png"))
```