image-generation

Generate Stunning Images in Seconds with Turbo Enigma

26 Apr 2025
Generate Stunning Images in Seconds with Turbo Enigma

Turbo Enigma is a powerful text-to-image generation service that leverages advanced AI technology to create high-quality images swiftly. By utilizing the SDXL Turbo Enigma model, developers can transform descriptive text prompts into vivid visuals in just 2-5 seconds. This speed and efficiency simplify the creative process, making it accessible for a variety of applications, from marketing to content creation.

Imagine the possibilities: artists can visualize their ideas, marketers can generate eye-catching graphics for campaigns, and game developers can create concept art—all at the click of a button. Turbo Enigma not only enhances productivity but also inspires creativity by allowing users to explore unique visual representations of their concepts.

Prerequisites

To get started with Turbo Enigma, you'll need an API key for Cognitive Actions and a basic understanding of how to make API calls.

Generate Vivid Images with SDXL Turbo Enigma

The primary action of Turbo Enigma is to generate vivid images based on text prompts. This action employs Distribution Matching Distillation, allowing for zero-shot identity creation, which means you can create images without needing prior examples.

Purpose: This action solves the problem of time-consuming image creation by enabling developers to generate unique images from simple text prompts within seconds.

Input Requirements:

  • width: (integer) The desired width of the output image in pixels (default is 448).
  • height: (integer) The desired height of the output image in pixels (default is 896).
  • prompt: (string) A descriptive sentence or phrase that provides context for the image (default is "adventure in Bali").
  • inputImage: (string) A URL for an image that can be used for image-based processing.
  • randomSeed: (integer) An optional integer seed for randomness in image generation.
  • fastFaceSwap: (boolean) Enables a quicker face swap method if true (default is false).
  • slowFaceSwap: (boolean) Enables a more precise face swap method if true (default is false).
  • guidanceLevel: (number) Adjusts the classifier-free guidance level (range is 1-3, default is 1.77).
  • inferenceSteps: (integer) Number of steps for image denoising (range is 1-10, default is 7).
  • refinementSteps: (integer) Number of steps for additional image detail (range is 0-5, default is 3).
  • storeEmbeddings: (boolean) Indicates whether to save image embeddings (default is false).
  • deactivateSafetyChecker: (boolean) Disables the safety checker for generated images (default is false).

Expected Output: The output will be a URL link to the generated image, allowing users to easily access and utilize their creations. For example: https://assets.cognitiveactions.com/invocations/7af8857e-7656-4abe-bfc4-2654a77ddc11/a5514b35-779a-4b81-86b9-8ed13818339d.png

Use Cases for this specific action:

  • Marketing and Advertising: Quickly produce visuals for social media posts, ads, and promotional materials.
  • Content Creation: Generate unique images for blogs, articles, and other digital content to enhance reader engagement.
  • Game Development: Create concept art for characters, environments, and items in games, speeding up the design process.
  • Art and Design: Help artists visualize their ideas or create digital art based on prompts, encouraging experimentation and inspiration.
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 = "b19c61d0-e6e3-4881-9cb8-a3e22090d260" # Action ID for: Generate Vivid Images with SDXL Turbo Enigma

# Construct the exact input payload based on the action's requirements
# This example uses the predefined example_input for this action:
payload = {
  "width": 448,
  "height": 896,
  "prompt": " stunning white female loving and caring, me fighting fires",
  "inputImage": "https://firebasestorage.googleapis.com/v0/b/a-i-vision-board-1-29aznr.appspot.com/o/users%2FbFzbdQ78N4MdW9GRXJ0uO21dqK33%2Fuploads%2F1705813258118000.png?alt=media&token=69c820a5-3b67-497a-b16c-bfcfb668840e",
  "fastFaceSwap": true,
  "slowFaceSwap": false,
  "inferenceSteps": 7,
  "refinementSteps": 3,
  "storeEmbeddings": false,
  "optimizationExperiment": "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",
  "deactivateSafetyChecker": false
}

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

Turbo Enigma empowers developers to create stunning images quickly and easily, transforming text prompts into vivid visuals in mere seconds. With its versatile capabilities, this service opens up a world of possibilities for marketers, content creators, game developers, and artists alike. Start integrating Turbo Enigma into your projects today and unlock the potential of AI-driven image generation!

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