> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Image Editing Agent

> Edit an existing image with a Gemini agent using response_modalities.

## Code

```python image_editing.py theme={null}
from io import BytesIO

from agno.agent import Agent, RunOutput  # noqa
from agno.media import Image
from agno.models.google import Gemini
from PIL import Image as PILImage

# No system message should be provided (Gemini requires only the image)
agent = Agent(
    model=Gemini(
        id="gemini-3.1-flash-image",
        response_modalities=["Text", "Image"],
    )
)

# Print the response in the terminal
response = agent.run(
    "Can you add a Llama in the background of this image?",
    images=[Image(filepath="tmp/test_photo.png")],
)

# Retrieve and display generated images using get_last_run_output
run_response = agent.get_last_run_output()
if run_response and isinstance(run_response, RunOutput) and run_response.images:
    for image_response in run_response.images:
        image_bytes = image_response.content
        if image_bytes:
            image = PILImage.open(BytesIO(image_bytes))
            image.show()
            # Save the image to a file
            # image.save("generated_image.png")
else:
    print("No images found in run response")
```

## Usage

<Snippet file="create-venv-step.mdx" />

**1. Prepare your image**

Place an image file at `tmp/test_photo.png` or update the filepath in the code to point to your image.

**2. Set your API key**

```bash theme={null}
export GOOGLE_API_KEY=xxx
```

**3. Install dependencies**

```bash theme={null}
uv pip install -U google-genai pillow agno
```

**4. Run Agent**

Save the code above as `image_editing.py`, then run:

```bash theme={null}
python image_editing.py
```


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