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sdxl-ad-inpaint

SDXL Ad Inpaint

Product advertising image generator using SDXL

Avg Run Time: 20.000s

Model Slug: sdxl-ad-inpaint

Category: Image to Image

Input

Enter an URL or choose a file from your computer.

Advanced Controls
Sign Up to Run

Output

Example Result

Preview and download your result.

Preview
The total cost depends on how long the model runs. It costs $0.001080 per second. Based on an average runtime of 20 seconds, each run costs about $0.0216. With a $1 budget, you can run the model around 46 times.

Create a Prediction

Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.

Get Prediction Result

Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.

Table of Contents
Overview
Technical Specifications
Key Considerations
Tips & Tricks
Capabilities
What Can I Use It For?
Things to Be Aware Of
Limitations

Overview

The SDXL Ad Inpaint Model is a sophisticated solution designed for image inpainting tasks, particularly effective in restoring, editing, or refining visual content with precision. Built with advanced deep learning, this model delivers high-quality results for reconstructing and enhancing images. By fine-tuning prompts and adjusting settings, users can create a wide variety of detailed and personalized outcomes with SDXL Ad Inpaint.

Technical Specifications

Advanced Guidance Mechanisms: Supports both guidance_scale and condition_scale for precise control over image generation.

Dynamic Refinement Steps: The num_refine_steps input allows fine-tuning of the inpainting process.

Versatile Scheduler Support: Options like KarrasDPM and PNDM enable flexible optimization strategies.

High-Resolution Support: Designed to handle various resolutions efficiently with adjustable img_size.

Key Considerations

Prompt Dependent Results:

Model output is highly dependent on the clarity and detail of the prompt provided.


Resource Consumption:

Higher values ​​for parameters such as num_inference_steps can increase processing time.


Avoid Oversaturation:

Using extreme values ​​for guidance_scale or condition_scale can result in oversaturated or unnatural output.


Seed Variability:

Setting a consistent seed ensures repeatable results, while leaving it random allows for creative exploration.

Tips & Tricks

Optimizing Parameters for Best Results for SDXL Ad Inpaint

  • product_fill: Start with Original for retaining the base image's structure. Gradually experiment with values like 80 or 70 for creative enhancements.
  • scheduler:
    • Use KarrasDPM for smooth gradients and high detail.
    • Opt for DDIM if faster iterations are preferred.
  • num_inference_steps: Ideal range is 5-10 for a balance between speed and quality.
  • guidance_scale: A value of 15-25 works well for most cases, while lower values may produce subtler changes.
  • condition_scale: Stay within 0.5-0.7 for controlled refinement. Values above or below may affect image fidelity.
  • num_refine_steps: Begin with 20 for detailed adjustments, increasing up to 40 for intricate edits.

Prompt Crafting with SDXL Ad Inpaint

  • Use concise and descriptive language.
  • Include specific elements or styles you wish to emphasize. For example: “A serene sunset over a mountain lake”.
  • Avoid overly technical or contradictory descriptions.

Experiment with Upscaling

  • Enable upscale for sharper, high-resolution results.
  • Adjust upscale_steps (e.g., 10-15) to find the ideal balance between clarity and computation time.

Leverage Seed Control

  • For repeatable results, set a fixed seed. For example, 12345 is a good starting point.
  • To explore variations, leave the seed unset or randomly generate values.

Capabilities

Restoration: Repair damaged or incomplete images effectively.

Enhancement: Add details, improve textures, or refine existing visuals.

Creative Edits: Generate artistic interpretations or stylized outputs from base images.

What Can I Use It For?

Visual Storytelling: Create compelling visuals for narratives or presentations.

Advertising: Enhance product images with custom edits.

Content Creation: Produce high-quality visuals for media, design, or personal use.

Things to Be Aware Of

Adjust Prompt Styles: Experiment with creative prompts like “A futuristic cityscape at dusk” to explore the model's artistic potential.

Explore Schedulers: Test different schedulers like PNDM or HeunDiscrete for unique results.

Combine Features: Use apply_img with specific condition_scale values for controlled blending of original and generated content.

Limitations

Complex Scenes
Rendering complex or highly detailed scenes may require additional optimization.

Prompt Sensitivity
SDXL Ad Inpaint's performance can vary significantly depending on the prompt provided.

Processing Time
Large images or high parameter values can lead to longer processing times.

Edge Cases
Some specific styles or transformations may not align perfectly with the model’s design.

Output Format: PNG

Pricing Detail

This model runs at a cost of $0.001080 per second.

The average execution time is 20 seconds, but this may vary depending on your input data.

The average cost per run is $0.021600

Pricing Type: Execution Time

Cost Per Second means the total cost is calculated based on how long the model runs. Instead of paying a fixed fee per run, you are charged for every second the model is actively processing. This pricing method provides flexibility, especially for models with variable execution times, because you only pay for the actual time used.