Create Stunning Customized Images with Ponynai3 Inpainting

26 Apr 2025

In the world of digital art and image manipulation, having the ability to create customized images is invaluable. Ponynai3 offers developers a robust API that incorporates advanced inpainting techniques to generate high-quality, personalized images. This service allows users to make specific alterations and enhancements to images, enabling a wide range of creative possibilities. By leveraging models such as ponyRealism_v22MainVAE, tPonynai3_v65, and waiANINSFWPONYXL_v130, Ponynai3 empowers developers to create visually stunning images that meet their unique specifications.

Among its many benefits, Ponynai3 simplifies the image generation process, allowing developers to focus on creativity rather than complex technical details. Whether you're looking to enhance a character design, modify an existing artwork, or create entirely new visuals, Ponynai3's inpainting capabilities can help you achieve your goals efficiently.

Mask: The URI of the inpainting mask image, where white areas will be modified, and black areas will be preserved.
Seed: An integer to control randomness in generation; use -1 for a random seed.
Image: The URI of the base image for inpainting tasks.
Steps: The number of steps for the generation process (1-100).
Width and Height: Dimensions of the output image in pixels (1-4096).
Prompt: A string defining the main idea or style of the output image.
Strength: A number indicating the noise level for image modifications (0-1).
VAE Option: The choice of Variational Autoencoder for generation.
Model Choice: Select from available preset models.
Batch Size: The number of images to generate concurrently (1-4).
Clip Skip Layers: Controls the number of CLIP layers to skip during processing.
Excluded Prompt: A string for undesirable elements in the generation.
Mask Blur Factor: A number controlling the smoothness of the transition between masked and unmasked areas.
Pag Scale Factor: Enhances image quality.
Add Prepend Prompt: Boolean to decide whether to prepend a prompt.
Configuration Scale: Controls adherence to the prompt.
Scheduling Algorithm: Defines the generation step sequence.
Guidance Noise Rescale: A number to prevent overexposure from noise.

Expected Output

The output will be a URI link to the generated image. For example:

https://assets.cognitiveactions.com/invocations/e56edf12-8382-4952-9f6a-538e195e67f8/9cdd95bd-0998-4c13-a394-270e903dac88.png

Use Cases for this Action

Character Design: Modify existing character images to create new expressions or outfits.
Art Enhancement: Improve or alter artworks by adding or changing specific elements.
Customized Marketing Materials: Generate unique images for promotional content tailored to specific campaigns.
Game Development: Create personalized assets for characters or environments based on user input.


```python
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 = "d9e1a263-f082-4f4d-a422-4b999e7f12a1" # Action ID for: Generate Customized Images with Inpainting

# Construct the exact input payload based on the action's requirements
# This example uses the predefined example_input for this action:
payload = {
  "seed": -1,
  "steps": 35,
  "width": 1184,
  "height": 864,
  "prompt": "1girl",
  "strength": 0.7,
  "vaeOption": "default",
  "modelChoice": "tPonynai3_v65",
  "batchSizeLimit": 1,
  "clipSkipLayers": 1,
  "excludedPrompt": "animal, cat, dog, big breasts",
  "maskBlurFactor": 5,
  "pagScaleFactor": 3,
  "addPrependPrompt": true,
  "configurationScale": 5,
  "schedulingAlgorithm": "DPM++ 2M SDE Karras",
  "guidanceNoiseRescale": 0.5
}

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
Ponynai3's inpainting capabilities offer developers a powerful tool for generating customized images that meet a variety of creative needs. By simplifying the image generation process and providing extensive input options, Ponynai3 allows for a high degree of personalization and artistic expression. Explore the potential of Ponynai3 in your next project, and unlock new creative possibilities for image generation.

Create Stunning Customized Images with Ponynai3 Inpainting

Prerequisites

Generate Customized Images with Inpainting

Purpose

Input Requirements

Expected Output

Use Cases for this Action