If you're looking for an API, here is a sample code in NodeJS to help you out.
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const axios = require('axios');
const api_key = "YOUR API KEY";
const url = "https://api.segmind.com/workflows/66911a12267a318a6071ba92-v1";
const data = {
face_image: "publicly accessible image link"
};
axios.post(url, data, {
headers: {
'x-api-key': api_key,
'Content-Type': 'application/json'
}
}).then((response) => {
console.log(response.data);
});
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{
"poll_url": "<base_url>/requests/<some_request_id>",
"request_id": "some_request_id",
"status": "QUEUED"
}
You can poll the above link to get the status and output of your request.
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{
"black_shirt": "image in URL Format",
"white_shirt": "image in URL Format",
"red_shirt": "image in URL Format",
"pink_shirt": "image in URL Format"
}
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.
Unlock the full potential of generative AI with Segmind. Create stunning visuals and innovative designs with total creative control. Take advantage of powerful development tools to automate processes and models, elevating your creative workflow.
Run generative AI models with minimal latencies and setup costs, optimizing resource use and speed.
Run generative AI models with minimal latencies and setup costs, optimizing resource use and speed.
Run generative AI models with minimal latencies and setup costs, optimizing resource use and speed.
Run generative AI models with minimal latencies and setup costs, optimizing resource use and speed.
This workflow demonstrates how AI models can transform a portrait photo into a stylized sticker and create realistic t-shirt mockups. The process involves three main steps:
Photo Input and Sticker Generation:
Sticker Creation:
T-Shirt Mockup Generation:
This workflow offers several advantages:
The process streamlines custom apparel design, allowing for quick iteration and preview of designs before physical production. It's particularly useful for personalized merchandise, small businesses, or event-specific apparel.
This technology showcases the growing capabilities of AI in creative and commercial applications, bridging the gap between digital concepts and physical products.