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const axios = require('axios');
const api_key = "YOUR API-KEY";
const url = "https://api.segmind.com/v1/bria-mask-generator";
const data = {
"image_url": "https://segmind-inference-inputs.s3.amazonaws.com/fc8ac0d8-9459-49ba-afeb-7b0fb6fc0041-e22ba32d6851fb33157dca6b1172533a.png",
"content_moderation": 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
Enter the URL or Base64 string of your image. Use a URL for online images, Base64 for local images.
Toggle to enable or disable automatic content moderation. Enable for unknown sources, disable for known safe 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.
Bria AI Get Masks: Automated Image Segmentation Model
What is Bria AI Get Masks?
Bria AI Get Masks is an intuitive model that works on the principle of "image segmentation." It is capable of creating masks (outlines) within an image to create clear masks for different objects. This advanced function of creating element isolation using detailed segmentation maps within the image empowers the developers to edit the images with precision and execute the workflows flawlessly. Bria AI Get Masks model is adept at paving the way for precise object modification, replacing background elements without disturbing surrounding elements, and image customization with superior results.
Key Features Bria AI Get Masks
- It excels in automatic multi-object mask generation
- It is capable of high-precision segmentation mapping
- It supports URL and Base64 image inputs
- It has built-in content moderation options
- It can perform asynchronous processing for scalability
- It comes with a comprehensive object-level recognition
- It includes integration-ready API endpoints
Best Use Cases
- E-commerce can utilize the model for product editing and enhancement
- Content creation and digital marketing can benefit from its image customization
- Photo editing applications and platforms are an essential part of the model
- Background removal and replacement for different projects
- Interactive design tools make it a handy option for users
- Professional photography workflows can be executed without high complexity
- Digital content management systems are supported
- Automated image processing pipelines make it an excellent option for multiple use cases
Prompt Tips and Output Quality
When using Bria AI Get Masks, follow these tips to get optimal mask generation results -
- Provide images that are high-resolution and clear
- The objects should have a good contrast
- Using images with well-lit tones will ensure better object detection
- If there are unknown image sources, you must enable content moderation
- Complex scenes require image composition
- Get the best results by testing multiple object types to get a knack of the model's capabilities
FAQs
How does the content moderation feature work?
The optional content moderation feature (when enabled) processes images from unknown sources. So, this ensures that only the safe and appropriate content is processed; if you have images from trusted sources, you can disable this option.
What image formats are supported?
The model can be used for online and local processing as it is designed to accept images via URL or Base64 encoding.
How detailed are the generated masks?
The model can produce highly accurate masks for each object in an image. This supports detailed and precise editing and modification of each element.
Can I process multiple images simultaneously?
Yes, the model supports asynchronous processing, i.e., it can execute multiple tasks at the same time. This allows the model to process a large number of images simultaneously and handle more work as needed.
How can I integrate this with existing image editing workflows?
The model supports API endpoints that users can integrate with existing image editing workflows with ease. This supports workflows for different tasks - content editing, image improvement, and object modification at a granular level.
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