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const axios = require('axios');
const api_key = "YOUR API-KEY";
const url = "https://api.segmind.com/v1/flux-dev";
const data = {
"prompt": "detailed cinematic dof render of an old dusty detailed CRT monitor on a wooden desk in a dim room with items around, messy dirty room. On the screen are the letters “FLUX dev” glowing softly. High detail hard surface render",
"samples": 1,
"guidance": 3.5,
"steps": 25,
"prompt_strength": 0.8,
"aspect_ratio": "1:1",
"seed": 46588,
"output_format": "webp",
"output_quality": 80
};
(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
Text prompt for image generation
Number of samples to generate.
min : 1,
max : 4
guidance
min : 0,
max : 10
number of steps
min : 1,
max : 50
Prompt Strength
min : 0,
max : 1
Type of scheduler.
Allowed values:
Seed for random number generation
An enumeration.
Allowed values:
Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
min : 0,
max : 100
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.
Flux.1 Dev
The Flux Dev model by Black Forest Labs is an advanced AI model designed for generating and transforming visual content from simple text inputs. Utilizing cutting-edge AI and machine learning techniques, Flux Dev provides users with the ability to create high-quality images effortlessly.
How to Use the Model
To use the Flux Dev model:
-
Input Text Prompt: Provide a textual description of the desired image. The model processes this input to generate a corresponding visual output.
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Run the Model: Execute the model with your text input. The AI algorithm interprets the description to produce an image.
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Review Outputs: Evaluate the generated images for quality and relevance to your input.
Use Cases
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Graphic Design: Automate the creation of graphics based on simple text descriptions, saving time on repetitive design tasks.
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Advertising: Generate visual content tailored to marketing campaigns, quickly producing assets that align with brand messages.
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Content Creation: Assist writers and content creators in visualizing their narratives by generating illustrative images from textual descriptions.
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Web Development: Enhance websites with unique, dynamically generated images that improve user engagement and aesthetic appeal.
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Research and Development: Utilize the model for experimental purposes in AI research, testing the boundaries of text-to-image generation capabilities.
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