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Gemini Nano Banana with Jarvis Agent by Swarms

Overview

Gemini Nano Banana, powered by Google's Gemini 2.5 Flash Image Preview, is now integrated with Swarms agents via the Jarvis Agent. This enables advanced image generation, editing, and analysis in Swarms workflows, with secure, real-time processing and flexible deployment.

Industry	Use Case	Business Impact
Healthcare	Medical image analysis, radiology report generation, patient data visualization	Faster diagnosis, reduced errors, improved patient outcomes
Manufacturing	Quality control inspection, defect detection, predictive maintenance visualization	Reduced waste, improved efficiency, proactive maintenance
Retail	Product catalog generation, visual search, inventory management	Enhanced customer experience, automated workflows, reduced manual labor
Real Estate	Property visualization, virtual tours, market analysis charts	Improved sales conversion, remote property viewing, data-driven insights
Insurance	Claims processing, damage assessment, fraud detection	Accelerated claims settlement, reduced fraud losses, improved accuracy
Financial Services	Risk visualization, market trend charts, document processing	Enhanced decision-making, automated reporting, regulatory compliance

Get Started

Prerequisites

Before using Gemini Nano Banana models, ensure you have:

Swarms Framework: Install the latest version of Swarms
```
pip install swarms
```
API Access: Configure your Gemini API credentials
```
export GEMINI_API_KEY="your-api-key-here"
```
Image Dependencies: For image processing tasks, ensure you have the necessary image libraries
```
pip install pillow requests
```

Model Configuration

The Gemini models are accessed through the gemini/gemini-2.5-flash-image-preview model identifier, which provides optimized performance for image-related tasks.

Image Generation

Create a new Python file (e.g., img_gen_nano_banana.py) and use the following code to generate images from text prompts:

from swarms import Agent

IMAGE_GEN_SYSTEM_PROMPT = (
    "You are an advanced image generation agent. Given a textual description, generate a high-quality, photorealistic image that matches the prompt. "
    "Return only the generated image."
)

image_gen_agent = Agent(
    agent_name="Image-Generation-Agent",
    agent_description="Agent specialized in generating high-quality, photorealistic images from textual prompts.",
    model_name="gemini/gemini-2.5-flash-image-preview",  # Replace with your preferred image generation model if available
    dynamic_temperature_enabled=True,
    max_loops=1,
    dynamic_context_window=True,
    retry_interval=1,
)

image_gen_out = image_gen_agent.run(
    task=f"{IMAGE_GEN_SYSTEM_PROMPT} \n\n Generate a photorealistic image of a futuristic city skyline at sunset.",
)

print("Image Generation Output:")
print(image_gen_out)

Image Editing and Annotation

For image editing and annotation tasks, create a new file (e.g., jarvis_agent.py) with the following code:

from swarms import Agent


SYSTEM_PROMPT = (
    "You are a location-based AR experience generator. Highlight points of interest in this image and annotate relevant information about it. "
    "Return the image only."
)

# Agent for AR annotation
agent = Agent(
    agent_name="Tactical-Strategist-Agent",
    agent_description="Agent specialized in tactical strategy, scenario analysis, and actionable recommendations for complex situations.",
    model_name="gemini/gemini-2.5-flash-image-preview",
    dynamic_temperature_enabled=True,
    max_loops=1,
    dynamic_context_window=True,
    retry_interval=1,
)

out = agent.run(
    task=f"{SYSTEM_PROMPT} \n\n Annotate all the tallest buildings in the image",
    img="hk.jpg",
)

Additional Features

Custom System Prompts

Prompt Type	Example	Enterprise Use Case
Architectural Analysis	"Analyze building structures and materials"	Real estate due diligence
Medical Imaging	"Highlight anomalies in medical scans"	Healthcare diagnostics
Artistic Enhancement	"Enhance colors and composition"	Marketing content creation
Object Detection	"Identify and label all objects"	Quality control automation

Optimization Strategies

Parameter	Current Setting	Alternative	Impact	Use Case
`max_loops`	1	2-3	Higher quality but slower	Complex image editing
`dynamic_temperature_enabled`	True	False	More consistent results	Production environments
`retry_interval`	1	2-5	Better error handling	Unstable connections
`dynamic_context_window`	True	False	Memory efficient	Large images

Security and Compliance

Gemini Nano Banana offers robust enterprise security, including end-to-end data encryption, role-based access controls, and comprehensive audit logging to ensure compliance and privacy. The platform meets major industry certifications, making it suitable for healthcare, finance, and other regulated sectors.

Security Feature	Certification
Data Encryption	SOC 2 Type II
Access Controls (RBAC)	HIPAA, PCI DSS
Audit Logging	ISO 27001

Connect With Us

If you'd like technical support, join our Discord below and stay updated on our Twitter for new updates!

Platform	Link	Description
📚 Documentation	docs.swarms.world	Official documentation and guides
📝 Blog	Medium	Latest updates and technical articles
💬 Discord	Join Discord	Live chat and community support
🐦 Twitter	@kyegomez	Latest news and announcements
👥 LinkedIn	The Swarm Corporation	Professional network and updates
📺 YouTube	Swarms Channel	Tutorials and demos
🎫 Events	Sign up here	Join our community events

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