Create Stunning Product Images Effortlessly with Ad Inpaint

26 Apr 2025
Create Stunning Product Images Effortlessly with Ad Inpaint

In the fast-paced world of e-commerce and digital marketing, having eye-catching product images can make all the difference in attracting customers. The "Ad Inpaint" service empowers developers to enhance their marketing efforts by automatically generating high-quality advertising images. Utilizing advanced techniques such as stable-diffusion-2-inpainting and ControlNet, this Cognitive Action simplifies the process of creating visually appealing product visuals, making it easier for businesses to stand out in a crowded marketplace.

Imagine being able to quickly generate images that not only showcase your products in an engaging context but also adhere to your specific branding and aesthetic requirements. This service can be particularly beneficial for online retailers, social media marketers, and content creators looking to elevate their visual content with minimal effort.

Prerequisites

To get started with Ad Inpaint, you will need a valid Cognitive Actions API key and a basic understanding of how to make API calls.

Generate Product Advertising Image

The "Generate Product Advertising Image" action is designed to automatically create visually appealing advertising images for products. By leveraging advanced image generation techniques, this action enhances the background and context based on detailed prompts, ensuring that the final images are not just random outputs but tailored to meet specific marketing needs.

Input Requirements

To utilize this action, you will need to provide the following inputs:

  • imageUrl: The URI of the input image that serves as the base for your generated advertisement.
  • prompt: A detailed description or product name that guides the image generation process.
  • pixel: The desired image resolution (options include 512x512, 768x768, or 1024x1024).
  • scale: An integer that determines the scaling factor for the image (maximum value is 4).
  • numSteps: The number of inference steps, which impacts the quality and processing time.
  • imageCount: The number of images to generate (up to 4).
  • productSize: Specifies the maximum size of the product relative to its original width.
  • guidanceLevel: A scale that affects how closely the generated image adheres to the prompt.
  • negativeKeywords: Keywords to exclude from the image, refining output quality.
  • manualSeed: A specific seed for random number generation, set to -1 for randomness.

Expected Output

The output will consist of one or more high-quality URLs of the generated advertising images that align with the provided input specifications. Each image will be crafted to enhance the product's appeal while maintaining relevance to the prompt given.

Use Cases for this Specific Action

  1. E-commerce: Online retailers can use this action to quickly generate product images that feature their items in various appealing contexts, helping to improve conversion rates.
  2. Social Media Marketing: Marketers can create engaging visuals for social media campaigns, allowing for more dynamic content that captures audience attention.
  3. Content Creation: Bloggers and content creators can utilize the generated images to enhance their articles, making them more visually striking and engaging for readers.
  4. Advertising Campaigns: Businesses can streamline the creation of promotional materials, ensuring they have high-quality visuals ready for various platforms and formats.
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 = "20db9fc6-81ef-4706-a07a-af0c082a0d21" # Action ID for: Generate Product Advertising Image

# Construct the exact input payload based on the action's requirements
# This example uses the predefined example_input for this action:
payload = {
  "pixel": "512 * 512",
  "scale": 3,
  "prompt": "modern sofa+ in a contemporary living room, filled with stylish decor+;modern, contemporary, sofa, living room, stylish decor",
  "imageUrl": "https://replicate.delivery/pbxt/JAIk0rFAOUG00uetuiLOHPz42lBcf7QfX3xWi7TVaxMXXD4n/sofa1.png",
  "numSteps": 20,
  "imageCount": 4,
  "manualSeed": -1,
  "productSize": "0.5 * width",
  "guidanceLevel": 7.5,
  "negativeKeywords": "illustration, 3d, sepia, painting, cartoons, sketch, (worst quality:2)"
}

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

The Ad Inpaint service offers a powerful tool for developers looking to enhance their product images effortlessly. By automating the image generation process, businesses can save time and resources while still achieving stunning visual results that resonate with their target audience. Whether you are in e-commerce, marketing, or content creation, integrating this Cognitive Action into your workflow can significantly elevate the quality of your visual content. Explore the possibilities with Ad Inpaint and take your product visuals to the next level!