image-generation

Create Stunning Images with Rubber Bote's Inpainting Action

26 Apr 2025
Create Stunning Images with Rubber Bote's Inpainting Action

In today's fast-paced digital world, the ability to generate high-quality images quickly and efficiently is invaluable for developers and creatives alike. Rubber Bote provides a powerful Cognitive Action that utilizes inpainting techniques to generate images with customizable options, such as aspect ratio, image quality, and output format. This flexibility allows developers to cater to a wide range of creative needs, from design mockups to personalized artwork.

Imagine needing a unique image for a marketing campaign, a blog post, or even an AI-driven art project. The Rubber Bote inpainting action can save you time and effort by generating stunning visuals that meet your specific requirements. By leveraging advanced models optimized for speed and accuracy, you can produce high-quality images in a fraction of the time it would take to create them manually.

Prerequisites

To get started with Rubber Bote's Cognitive Actions, you'll need an API key and some basic knowledge of making API calls.

Generate Image with Inpainting

The Generate Image with Inpainting action is designed to create images based on a text prompt while allowing for inpainting capabilities. This functionality is particularly useful for filling in missing parts of an image or modifying existing images seamlessly.

Input Requirements

The input for this action is a JSON object that must include a prompt, which guides the image generation process. Additional optional parameters can be specified to refine the output, including:

  • mask: A URI for an image mask to define specific areas for inpainting.
  • image: A URI of an input image for image-to-image or inpainting mode.
  • width and height: These parameters specify the dimensions of the generated image when using a custom aspect ratio.
  • goFast: A boolean option to increase prediction speed at the cost of image quality.
  • numOutputs: The number of distinct images you want to generate (1 to 4).
  • modelChoice: Select between two models, 'dev' for accuracy and 'schnell' for speed.

Expected Output

The action returns a URI link to the generated image, which can be used directly in web applications or for further processing. For example, a successful output might look like this:

https://assets.cognitiveactions.com/invocations/56a64024-5422-4a9b-884a-15d4d9251336/1d5d845b-fb16-427c-92f1-0da1418e9378.webp

Use Cases for this specific action

  • Marketing and Advertising: Quickly create unique visuals for campaigns that grab attention and convey messages effectively.
  • Content Creation: Generate images for blogs, social media, or newsletters that resonate with your audience.
  • Prototyping and Design: Use inpainting to fill in or modify parts of images in design mockups, helping to visualize concepts faster.
  • Personalized Artwork: Generate custom images based on user preferences or specific prompts, enhancing user engagement in creative applications.

```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 = "0f2d1980-41b9-4c98-ab15-ff987dd58eb9" # Action ID for: Generate Image with Inpainting

# Construct the exact input payload based on the action's requirements
# This example uses the predefined example_input for this action:
payload = {
  "goFast": false,
  "prompt": "A picture from TOKRUBER where the plastic color is black and the tray holder on top has a stainless steel texture",
  "loraScale": 1,
  "numOutputs": 1,
  "modelChoice": "dev",
  "guidanceScale": 3,
  "outputQuality": 80,
  "extraLoraScale": 1,
  "promptStrength": 0.8,
  "imageResolution": "1",
  "imageAspectRatio": "4:5",
  "imageOutputFormat": "webp",
  "numInferenceSteps": 28
}

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
Rubber Bote's inpainting action revolutionizes the way developers can create and manipulate images. With its ability to generate high-quality visuals tailored to specific needs, this tool can significantly enhance productivity and creativity in various projects. Whether you're working on marketing materials, content creation, or unique artwork, integrating this action into your workflow opens up new possibilities. 

As you explore the capabilities of Rubber Bote, consider how this powerful image-generation tool can be applied to your projects and take your creative output to the next level.
← Back to All Articles