API
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/66bb6cc2364d0f944f366add-v2";
const data = {
reference_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);
});1
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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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{
"image_output": "image in URL Format"
}Attributes
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.
PixelFlow allows you to use all these features
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.
Inferencing
Run generative AI models with minimal latencies and setup costs, optimizing resource use and speed.
Inferencing
Run generative AI models with minimal latencies and setup costs, optimizing resource use and speed.
Inferencing
Run generative AI models with minimal latencies and setup costs, optimizing resource use and speed.
Inferencing
Run generative AI models with minimal latencies and setup costs, optimizing resource use and speed.
AI Stock Image Generator with Flux.1
AI Stock Image Generator with Flux.1 provides an advanced solution for generating new stock images by leveraging a reference image. This automated workflow ensures the creation of images that closely resemble the original reference while offering enhanced quality and creativity, making it an effective tool for content creators, marketers, and designers.
How the AI Stock Image Generator with Flux.1 Works
The AI Stock Image Generator with Flux.1 utilizes a structured process to transform a reference image into a new, enhanced version:
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Reference Image Upload: The process begins with the user uploading a reference image. This image serves as the initial input for the system.
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LLava Model Prompt Generation: Once the reference image is uploaded, the LLava model analyzes it to generate a descriptive text prompt. This step ensures that the key features and context of the image are captured in textual form.
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Flux.1 Image-to-Image Conversion: The generated text prompt is then passed, along with the reference image, to the Flux.1 Image to Image conversion model. Flux.1 processes this information to create a new image that is remarkably close to the original but enhanced in visual quality and detail.
How to Use the AI Stock Image Generator with Flux.1
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Upload a Reference Image: Begin by uploading a reference image that you want to use as the basis for the new creation.
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Automatic Image Enhancement: The workflow automatically generates a descriptive prompt and feeds it into the Flux.1 model to produce an enhanced image similar to the reference.
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Review and Utilize the Output: Once the new image is created, review the output. The enhanced image can be utilized for various creative or commercial purposes.
Use Cases
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Content Creation: Enhance stock images for blogs, websites, or social media to better engage audiences with high-quality visuals.
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Marketing Campaigns: Create visually appealing images from references to meet specific campaign needs, improving brand presentation and appeal.
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Design Projects: Use improved imagery for graphic design, ensuring a cohesive and professional look for portfolios or client projects.
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E-commerce: Generate product images that maintain consistency with existing visuals while enhancing perceived quality to boost sales.
This workflow provides a robust and efficient methodology for creating stock images that retain the essence of the original reference image while benefitting from improved enhancements offered by Flux.1.
