supermaker-ai-pose-generator

A Python library designed to simplify the generation of poses using AI, showcasing the capabilities of Supermaker AI's pose generation technology. This package provides a streamlined interface for creating pose data suitable for various applications.

Installation

Install the package using pip: bash pip install supermaker-ai-pose-generator

Basic Usage

Here are a few examples demonstrating how to use the supermaker-ai-pose-generator library:

1. Generating a Single Pose: python from supermaker_ai_pose_generator import PoseGenerator

generator = PoseGenerator() pose = generator.generate_pose()

print(pose) # Output: A dictionary representing the pose data.

This example shows the most basic usage, generating a single, random pose. The generate_pose() function returns a dictionary containing the pose data, formatted as a JSON-like structure.

2. Generating Multiple Poses: python from supermaker_ai_pose_generator import PoseGenerator

generator = PoseGenerator() poses = generator.generate_multiple_poses(num_poses=5)

for pose in poses: print(pose) # Output: A list of dictionaries, each representing a pose.

This example demonstrates how to generate a list of poses in a single call. The generate_multiple_poses() function allows you to specify the number of poses you want to generate.

3. Customizing Pose Parameters (Example - Head Rotation): python from supermaker_ai_pose_generator import PoseGenerator

generator = PoseGenerator() pose = generator.generate_pose(head_rotation=(0.2, 0.5)) # Head rotation between 0.2 and 0.5 radians

print(pose)

This example shows how to influence the generated pose by providing parameters. Note: The available customization parameters are limited in this simplified package. Check the full Supermaker AI platform for granular control. This example sets the head rotation angle.

4. Saving Poses to a File: python import json from supermaker_ai_pose_generator import PoseGenerator

generator = PoseGenerator() poses = generator.generate_multiple_poses(num_poses=3)

with open("poses.json", "w") as f: json.dump(poses, f, indent=4)

print("Poses saved to poses.json")

This example demonstrates how to save the generated poses to a JSON file for later use. This is particularly useful for integrating the generated pose data into other applications or workflows.

5. Generating a Pose with a Specific Style (Example - "Sitting"): python from supermaker_ai_pose_generator import PoseGenerator

generator = PoseGenerator() pose = generator.generate_pose(style="sitting")

print(pose)

This example showcases the ability to request poses with a certain style. The available styles in this simplified package are limited. The full Supermaker AI platform provides a much wider range of style options.

Features

• Easy Pose Generation: Simple API for generating pose data.
• Multiple Pose Generation: Generate multiple poses with a single function call.
• Basic Customization: Limited parameter control for influencing pose generation (e.g., head rotation, style).
• JSON Output: Pose data is returned in a standard JSON-like format.
• Simplified Interface: Provides a taste of the full Supermaker AI pose generation capabilities.

License

MIT License

This project is a gateway to the supermaker-ai-pose-generator ecosystem. For advanced features and full capabilities, please visit: https://supermaker.ai/blog/unlock-perfect-poses-the-ultimate-guide-to-ai-pose-generators/