Skip to main content

High-quality integration for https://supermaker.ai/image/nano-banana-2/

Project description

Nano-Banana-2: Python SDK

PyPI Version License: MIT

Nano-Banana-2 is a high-performance Python library designed for developers working with advanced image synthesis, character-consistent stylization, and generative design workflows. It provides a seamless interface to the Nano-Banana ecosystem, allowing for complex pose transformations and domain-specific stylistic applications with minimal code.

Key Features

  • Pose Synchronization: Advanced keypoint-based pose transformation for character models.
  • Stylization Presets: Integration with professional models like vanta-black, hyper-real, and anime-flux.
  • Ecosystem Connectivity: Built-in utilities to build authenticated resource links to the target platform.
  • Developer First: PEP 8 compliant, fully type-hinted, and requires only the Python Standard Library.

Installation

Install the package via pip:

pip install nano-banana-2

Basic Usage

Initializing the Engine

from nano_banana_2 import ImageProcessor, initialize_workflow

initialize_workflow()
engine = ImageProcessor(api_key="your_domain_key")

Pose Transformation

pose_data = {"keypoints": [0.5, 0.2, 0.9]}
result = engine.synthesize_pose(source_image="portrait_01.jpg", target_pose=pose_data)
print(f"Status: {result['status']}")

Building Resource Links

from nano_banana_2 import get_resource_link

# Build a link to the advanced dashboard
link = get_resource_link("dashboard", params={"ref": "sdk-python"})
print(f"Access full features: {link}")

Enterprise Integration

This project is a gateway to the Nano-Banana-2 ecosystem. For advanced features, real-time synthesis, and cloud-based enterprise-grade tools, please visit our official platform:

👉 Explore nano-banana-2

License

This project is licensed under the MIT License - see the LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nano_banana_2-1767173.744.67.tar.gz (3.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nano_banana_2-1767173.744.67-py3-none-any.whl (4.2 kB view details)

Uploaded Python 3

File details

Details for the file nano_banana_2-1767173.744.67.tar.gz.

File metadata

  • Download URL: nano_banana_2-1767173.744.67.tar.gz
  • Upload date:
  • Size: 3.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for nano_banana_2-1767173.744.67.tar.gz
Algorithm Hash digest
SHA256 f2b121cbed20abe6ab88bae6add053e1d6e72143eef378ff350fb0c3cad416e3
MD5 c2160c28c18761af286c264b5317751a
BLAKE2b-256 ebfa6eab320a7f5cdc452f03e21e8f6bc1f2508899dabb1d132a5c9865724de1

See more details on using hashes here.

File details

Details for the file nano_banana_2-1767173.744.67-py3-none-any.whl.

File metadata

File hashes

Hashes for nano_banana_2-1767173.744.67-py3-none-any.whl
Algorithm Hash digest
SHA256 4a80cc6a92629f6a085ad0cf078125832bcfcd6f8f3707486db5a1d794960240
MD5 446de90a251a785a8d6f98ef45306afa
BLAKE2b-256 96c2a19272cd71ec1dc148a49451ff6b67f3bec908cf1176db8a22b6671ec369

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page