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const axios = require('axios');
const fs = require('fs');
const path = require('path');
async function toB64(imgPath) {
const data = fs.readFileSync(path.resolve(imgPath));
return Buffer.from(data).toString('base64');
}
const api_key = "YOUR API-KEY";
const url = "https://api.segmind.com/v1/skin-contrast-upscaler";
const data = {
"image": "toB64('https://segmind-resources.s3.amazonaws.com/input/525e16bd-4175-4952-8010-8e91e5050c71-model-face-image-for-testing.png')",
"image_format": "jpg",
"image_quality": 85,
"base64": false
};
(async function() {
try {
const response = await axios.post(url, data, { headers: { 'x-api-key': api_key } });
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data);
}
})();Attributes
Input image URL or base64 to process. Use clear images for best results.
Set output image format. 'jpg' for general use or 'png' for higher quality.
Allowed values:
Determine output image quality (1-100). Use 85 for balance or 100 for maximum fidelity.
min : 1,
max : 100
Output in base64 string instead of URL. Useful for embedding images.
To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.
Leveraging the Skin Contrast Upscaler for Optimal Results
The 1xSkinContrast-High-SuperUltraCompact model offers a sophisticated approach to image enhancement tailored for users requiring elevated skin detail without compromising background quality. Designed by Brigadeiro, this model provides a focused upscaling solution particularly beneficial for professionals in photography, digital art, and gaming who prioritize skin quality.
Understanding Model Applications
For Developers:
If you're integrating this AI upscaler, familiarizing yourself with its API can optimize how it complements existing software. Implementing batch processing through Segmind's SDKs can streamline enhancements across large image datasets, maintaining skin clarity and detail while conserving system resources due to its compact design.
For Creators:
Ease-of-use remains a priority. Consider adopting tools like ComfyUI for intuitive, drag-and-drop interfaces that support batch processing. By first isolating skin areas through segmentation, you can direct the model's enhancements where they're most beneficial, preserving the subtle nuances of non-skin elements.
For Executives:
ROI is achieved through this model's ability to enhance image quality efficiently, keeping operational costs low due to its compact architecture. It improves the vibrancy and realism of visuals, crucial in industries where consumer engagement hinges on high-definition imagery.
Implementing Effective Workflows
Opt for segmentation workflows that direct the model's capability towards skin regions, utilizing its talent for preserving background integrity. For comprehensive restoration, blend this upscaler with general models post-application. Regularly evaluate the color balance, particularly post-processing, to ensure image fidelity.
In summary, the 1xSkinContrast-High-SuperUltraCompact model serves as an indispensable tool for those focused on enhancing skin detail while maintaining high output efficiency. Its features seamlessly integrate into creative workflows, delivering impressive aesthetic results with technical precision.
Guide to Using the 1xSkinContrast-High-SuperUltraCompact Model Effectively
The 1xSkinContrast-High-SuperUltraCompact model by Brigadeiro offers targeted skin-detail enhancement without sacrificing background fidelity. Whether you’re a developer, creator, or executive, this guide outlines workflows and parameter recommendations to get optimal results.
Key Workflows
-
Skin Segmentation First
- Use a segmentation tool (e.g., ComfyUI, OpenCV) to identify facial or skin regions.
- Pass only the skin mask to the upscaler for concentrated detail improvement.
- Merge the enhanced skin back into the original image to preserve non-skin areas.
-
Batch Processing (Developers)
- Integrate via Segmind’s SDK or REST API.
- Queue directories of portraits or character renders for overnight processing.
- Leverage asynchronous calls to avoid blocking critical services.
-
Post-Processing Blend
- After skin upscaling, run a general super-resolution model on the full frame.
- Fine-tune color balance (e.g., in Lightroom or Photoshop) to unify tones.
Parameter Recommendations
| Parameter | Default | Use Case | Recommendation | |-----------------|---------|-------------------------------------|----------------------------| | image_format | jpg | Web sharing | jpg (small file, fast) | | | | High-end prints, transparency needs | png (lossless, alpha) | | image_quality | 85 | Balanced fidelity + size | 85–90 | | | | Maximum detail (print, showcase) | 95–100 | | base64 | false | Embedding in HTML/CSS emails | true |
Example JSON Snippet
{
"image": "https://…/sample.jpg",
"image_format": "png",
"image_quality": 95,
"base64": false
}
Tailored Advice
- For Developers: Automate preprocessing (face detection + mask extraction). Use
image_quality: 90for staging and bump to100in CI for final assets. - For Creators: Start with
pngoutput when doing layered compositing. Drop to85for rapid previews, then raise quality for final renders.
Tips for Maximum Impact
- Always test on varied skin tones to ensure color accuracy.
- Combine with noise reduction filters only if source images are grainy.
- Monitor GPU memory: the “SuperUltraCompact” design runs smoothly on 8 GB cards but keep batch sizes small.
By following these workflows and tuning parameters to your specific output targets, the 1xSkinContrast-High-SuperUltraCompact model will deliver razor-sharp skin detail and maintain the integrity of your scene for professional-grade images every time.
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