Generate Stunning Images with mwarf/cityhallyql2025 Cognitive Actions

22 Apr 2025
Generate Stunning Images with mwarf/cityhallyql2025 Cognitive Actions

In the realm of artificial intelligence, image generation has become a pivotal technology, enabling developers to create customized visuals with remarkable precision. The mwarf/cityhallyql2025 spec provides a powerful Cognitive Action designed for advanced image generation. This action allows users to create tailored images by fine-tuning various parameters such as prompt strength, resolution, and output format. By leveraging these pre-built actions, developers can save time and resources while enhancing their applications with cutting-edge image capabilities.

Prerequisites

Before you start integrating the Cognitive Actions, ensure you have the following:

  • An API key for the Cognitive Actions platform.
  • Basic knowledge of making API calls and handling JSON data.
  • Familiarity with Python for executing example code.

For authentication, you'll typically pass your API key in the headers of your requests. This ensures secure access to the Cognitive Actions services.

Cognitive Actions Overview

Generate Customized Image

The Generate Customized Image action creates a customized image using an advanced prediction model. It allows for fine-tuning parameters such as prompt strength, image resolution, and output format, making it suitable for image-to-image transformations or inpainting tasks while enhancing speed or precision.

Input

The input schema for this action requires several fields, with prompt being mandatory. Here’s a detailed view of the input properties:

{
  "prompt": "a timelapse photo of  the City1HallYQL Lethbridge City Hall building,  it's a beautiful summer day and the sky is a brilliant hue of blue, it's a majestic tourism editorial photo with lots of energy and motion, with motion blur on the traffic driving by,shot on canon r3",
  "loraScale": 0.91,
  "modelType": "dev",
  "numOutputs": 1,
  "guidanceScale": 1.75,
  "enableFastMode": false,
  "promptStrength": 0,
  "imageAspectRatio": "16:9",
  "outputMegapixels": "1",
  "imageOutputFormat": "png",
  "numInferenceSteps": 28,
  "imageOutputQuality": 80,
  "additionalLoraScale": 1
}

Key Input Fields:

  • prompt: Description of the image to be generated (required).
  • loraScale: Intensity of the main LoRA application (default: 1).
  • modelType: Specifies the model for inference (default: "dev").
  • numOutputs: Number of images to generate (default: 1).
  • guidanceScale: Controls the diffusion process guidance (default: 3).
  • enableFastMode: Enables faster predictions (default: false).
  • promptStrength: For image-to-image mode (default: 0.8).
  • imageAspectRatio: Aspect ratio for the generated image (default: "1:1").
  • imageOutputFormat: Format of the output images (default: "webp").
  • numInferenceSteps: Number of denoising steps (default: 28).
  • imageOutputQuality: Quality of output images (default: 80).

Output

The output of this action consists of a URL pointing to the generated image. Here’s an example of what you can expect:

[
  "https://assets.cognitiveactions.com/invocations/7dd702c4-635a-45f9-bd01-0cd92b98c813/5cc5c2e8-b8e1-4662-a009-8e429c2da08f.png"
]

This URL will link to the generated image, which can be utilized or displayed as needed in your application.

Conceptual Usage Example (Python)

Here’s how you can call the Generate Customized Image action using a Python code snippet:

import requests
import json

# Replace with your Cognitive Actions API key and endpoint
COGNITIVE_ACTIONS_API_KEY = "YOUR_COGNITIVE_ACTIONS_API_KEY"
COGNITIVE_ACTIONS_EXECUTE_URL = "https://api.cognitiveactions.com/actions/execute"  # Hypothetical endpoint

action_id = "93fe0f0c-105b-4242-84b6-2233f9ed36a3"  # Action ID for Generate Customized Image

# Construct the input payload based on the action's requirements
payload = {
    "prompt": "a timelapse photo of  the City1HallYQL Lethbridge City Hall building,  it's a beautiful summer day and the sky is a brilliant hue of blue, it's a majestic tourism editorial photo with lots of energy and motion, with motion blur on the traffic driving by,shot on canon r3",
    "loraScale": 0.91,
    "modelType": "dev",
    "numOutputs": 1,
    "guidanceScale": 1.75,
    "enableFastMode": false,
    "promptStrength": 0,
    "imageAspectRatio": "16:9",
    "outputMegapixels": "1",
    "imageOutputFormat": "png",
    "numInferenceSteps": 28,
    "imageOutputQuality": 80,
    "additionalLoraScale": 1
}

headers = {
    "Authorization": f"Bearer {COGNITIVE_ACTIONS_API_KEY}",
    "Content-Type": "application/json"
}

try:
    response = requests.post(
        COGNITIVE_ACTIONS_EXECUTE_URL,
        headers=headers,
        json={"action_id": action_id, "inputs": payload}  # Hypothetical structure
    )
    response.raise_for_status()  # Raise an exception for bad status codes (4xx or 5xx)

    result = response.json()
    print("Action executed successfully:")
    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: {e.response.text}")

In this example, replace YOUR_COGNITIVE_ACTIONS_API_KEY with your actual API key. The action_id is set to the ID of the Generate Customized Image action, and the payload is constructed with the required input values. The response will provide a URL to the generated image.

Conclusion

The mwarf/cityhallyql2025 Cognitive Action for generating customized images offers developers a robust tool for integrating intelligent image creation capabilities into their applications. By fine-tuning various parameters, you can achieve tailored results that meet specific project needs. Explore the possibilities of automated image generation and consider implementing this action to enhance your projects with unique visuals!

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