image-generation

Create Stunning Images Effortlessly with Polar Fleece

26 Apr 2025
Create Stunning Images Effortlessly with Polar Fleece

In the world of digital content creation, the demand for high-quality images is ever-growing. The "Polar Fleece" service offers powerful Cognitive Actions that allow developers to generate enhanced images with ease. Utilizing advanced techniques like inpainting and image-to-image enhancement, this service not only simplifies the image creation process but also boosts productivity by providing customizable options such as aspect ratio, resolution, and output format. Whether you're building applications for e-commerce, social media, or digital marketing, Polar Fleece can elevate your visual content, saving you time and effort while ensuring exceptional quality.

Prerequisites

To get started with Polar Fleece, you'll need an API key for the Cognitive Actions service and a basic understanding of making API calls.

Generate Enhanced Images

Purpose

The "Generate Enhanced Images" action is designed to create high-quality images based on user-defined prompts. It leverages sophisticated algorithms to enhance existing images or generate new ones, making it ideal for developers looking to automate content creation.

Input Requirements

To utilize this action, you'll need to provide a structured input that includes a prompt (mandatory), and you can also specify optional parameters such as:

  • mask: URI of an image mask for inpainting.
  • image: URI of an input image for enhancement.
  • width and height: Dimensions for the generated image.
  • goFast: A boolean to prioritize speed.
  • outputCount: Number of images to generate (1-4).
  • imageQuality: Quality setting for the output images.
  • guidanceScale: Controls prompt influence on generation.
  • inferenceModel: Choose between 'dev' for detailed results or 'schnell' for faster outputs.

Expected Output

The output will consist of high-quality image URLs based on your input criteria. Each generated image will reflect the specifications you set, ensuring you receive tailored visual content.

Use Cases for this specific action

  • Content Marketing: Quickly generate promotional images that align with your branding.
  • E-commerce: Create product images that stand out, enhancing the online shopping experience.
  • Social Media: Produce engaging visuals for posts, helping to increase user interaction.
  • Game Development: Use enhanced images for characters or environments, saving artists valuable time.
import requests
import json

# Replace with your actual Cognitive Actions API key and endpoint
# Ensure your environment securely handles the API key
COGNITIVE_ACTIONS_API_KEY = "YOUR_COGNITIVE_ACTIONS_API_KEY"
# This endpoint URL is hypothetical and should be documented for users
COGNITIVE_ACTIONS_EXECUTE_URL = "https://api.cognitiveactions.com/actions/execute"

action_id = "5bed1347-1d3b-4fcf-9820-2bf917b3a9e5" # Action ID for: Generate Enhanced Images

# Construct the exact input payload based on the action's requirements
# This example uses the predefined example_input for this action:
payload = {
  "prompt": "Front-facing photograph of an Italian man seated on a chair, with a plain blue background. The man is sitting with his legs crossed in a relaxed manner, the man dress POLARFLEECE. The chair is minimalist yet luxurious. The man is looking straight ahead to the camera. Professional, symmetrical photograph.",
  "loraScale": 0.5,
  "outputCount": 3,
  "imageQuality": 100,
  "guidanceScale": 3.5,
  "extraLoraScale": 0.8,
  "inferenceModel": "dev",
  "imageAspectRatio": "1:1",
  "imageOutputFormat": "png",
  "numInferenceSteps": 32
}

headers = {
    "Authorization": f"Bearer {COGNITIVE_ACTIONS_API_KEY}",
    "Content-Type": "application/json",
    # Add any other required headers for the Cognitive Actions API
}

# Prepare the request body for the hypothetical execution endpoint
request_body = {
    "action_id": action_id,
    "inputs": payload
}

print(f"--- Calling Cognitive Action: {action.name or action_id} ---")
print(f"Endpoint: {COGNITIVE_ACTIONS_EXECUTE_URL}")
print(f"Action ID: {action_id}")
print("Payload being sent:")
print(json.dumps(request_body, indent=2))
print("------------------------------------------------")

try:
    response = requests.post(
        COGNITIVE_ACTIONS_EXECUTE_URL,
        headers=headers,
        json=request_body
    )
    response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx)

    result = response.json()
    print("Action executed successfully. Result:")
    print(json.dumps(result, indent=2))

except requests.exceptions.RequestException as e:
    print(f"Error executing action {action_id}: {e}")
    if e.response is not None:
        print(f"Response status: {e.response.status_code}")
        try:
            print(f"Response body: {e.response.json()}")
        except json.JSONDecodeError:
            print(f"Response body (non-JSON): {e.response.text}")
    print("------------------------------------------------")

Conclusion

Polar Fleece offers a powerful solution for developers looking to streamline the image generation process while maintaining high-quality outputs. With its array of customizable options, you can create images that fit your specific needs and enhance your digital presence. By integrating the "Generate Enhanced Images" action into your applications, you can save time and resources, allowing you to focus on other critical aspects of your projects. Start exploring the possibilities with Polar Fleece today!

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