image_to_image_transformation.py
"""
Image To Image Transformation
=============================
Demonstrates collaborative style planning and image transformation.
"""
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.team import Team
from agno.tools.fal import FalTools
# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
style_advisor = Agent(
name="Style Advisor",
role="Analyze and recommend artistic styles and transformations",
model=OpenAIResponses(id="gpt-5.2"),
instructions=[
"Analyze the input image and transformation request",
"Provide style recommendations and enhancement suggestions",
"Consider artistic elements like composition, lighting, and mood",
],
)
image_transformer = Agent(
name="Image Transformer",
role="Transform images using AI tools",
model=OpenAIResponses(id="gpt-5.2"),
tools=[FalTools()],
instructions=[
"Use the `image_to_image` tool to generate transformed images",
"Apply the recommended styles and transformations",
"Return the image URL as provided without markdown conversion",
],
)
# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
transformation_team = Team(
name="Image Transformation Team",
model=OpenAIResponses(id="gpt-5.2"),
members=[style_advisor, image_transformer],
instructions=[
"Transform images with artistic style and precision.",
"Style Advisor: First analyze transformation requirements and recommend styles.",
"Image Transformer: Apply transformations using AI tools with style guidance.",
],
markdown=True,
)
# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
transformation_team.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
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno fal-client openai
3
Export your API keys
export FAL_API_KEY="your_fal_api_key_here"
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:FAL_API_KEY="your_fal_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
image_to_image_transformation.py, then run:python image_to_image_transformation.py