VertexAIImageGenerator
This component enables image generation using Google Vertex AI generative model.
Mandatory run variables | “prompt”: A string containing the prompt for the model |
Output variables | “images”: A list of ByteStream containing images generated by the model |
API reference | Google Vertex |
GitHub link | https://github.com/deepset-ai/haystack-core-integrations/tree/main/integrations/google_vertex |
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.
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 or locally by running gcloud projects list
in your terminal. For more info on the gcloud CLI, see its official documentation.
Usage
You need to install google-vertex-haystack
package to use the VertexAIImageGenerator
:
pip install google-vertex-haystack
On its own
Basic usage:
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:
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"))
Updated about 1 month ago