> ## 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 To Image

> Give an agent FalTools and a source image URL so it can generate a transformed image with Fal's image_to_image model.

Image To Image.

> [!WARNING]
>
> This example constructs `FalTools()` with `enable_image_to_image=False`, the toolkit default, so the `image_to_image` tool is unavailable as written. Apply the migration below before running it.

```python image_to_image.py theme={null}
"""
Image To Image
=============================

Image To Image.
"""

from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.fal import FalTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    id="image-to-image",
    name="Image to Image Agent",
    tools=[FalTools()],
    markdown=True,
    instructions=[
        "You have to use the `image_to_image` tool to generate the image.",
        "You are an AI agent that can generate images using the Fal AI API.",
        "You will be given a prompt and an image URL.",
        "You have to return the image URL as provided, don't convert it to markdown or anything else.",
    ],
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response(
        "a cat dressed as a wizard with a background of a mystic forest. Make it look like 'https://fal.media/files/koala/Chls9L2ZnvuipUTEwlnJC.png'",
        stream=True,
    )
```

## Run the Example

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

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno fal-client openai
```

**2. Export environment variables**

```bash Mac/Linux theme={null}
export FAL_API_KEY="your_fal_key_here"
export FAL_KEY="your_fal_key_here"
export OPENAI_API_KEY="your_openai_api_key_here"
```

```bash Windows theme={null}
$Env:FAL_API_KEY="your_fal_key_here"
$Env:FAL_KEY="your_fal_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
```

**3. Enable image-to-image**

Replace `tools=[FalTools()]` with `tools=[FalTools(enable_generate_media=False, enable_image_to_image=True)]` in the saved file.

**4. Run the example**

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

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

Full source: [cookbook/02\_agents/12\_multimodal/image\_to\_image.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/02_agents/12_multimodal/image_to_image.py)


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