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const axios = require('axios');
const api_key = "YOUR API-KEY";
const url = "https://api.segmind.com/v1/kandinsky2.1-txt2im";
const data = {
"prompt": "tiny isometric city on a tiny floating island, highly detailed, 3d render",
"negative_prompt": "NONE",
"scheduler": "DDIM",
"samples": 1,
"num_inference_steps": 25,
"guidance_scale": 7.5,
"seed": 1024,
"img_width": 512,
"img_height": 512,
"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
Prompt to render
Prompts to exclude, eg. 'bad anatomy, bad hands, missing fingers'
Type of scheduler.
Allowed values:
Number of samples to generate.
min : 1,
max : 8
Number of denoising steps.
min : 10,
max : 40
Scale for classifier-free guidance
Seed for image generation.
Image resolution.
Image resolution.
Base64 encoding of the output image.
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.
Kandinsky 2.1
Kadinsky is an AI-powered tool that can be used to create abstract art. It works by first generating a random image. Then, it uses a deep learning model to transform the image into an abstract painting. Kadinsky is a powerful tool that can be used to create a variety of abstract art styles, such as expressionism, cubism, and surrealism.
To use Kadinsky, you can follow these steps:
-
Go to the Segmind website: https://segmind.com/
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Click on the "Models" tab and select "Kadinsky".
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Click on the "Try it out" button and upload an image that you want to use as a starting point.
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Click on the "Generate" button to generate the abstract painting.
Kadinsky is a powerful tool that can be used to create abstract art. It is easy to use and it can be used to achieve impressive results. If you are interested in experimenting with the tool, contact us for customized solutions, large-scale deployment, and research support.
Applications/Use Cases
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Try using different starting images to see how they affect the output painting.
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Experiment with different settings for the abstract painting model to see how they affect the output painting.
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Compare the results of Kadinsky to other abstract art generation algorithms.
Popular Models
