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const axios = require('axios');
const api_key = "YOUR API-KEY";
const url = "https://api.segmind.com/v1/segmind-vega-rt-v1";
const data = {
"prompt": "backlight, wilderness woman hunting in jungle hiding behind leaves, face paintings closeup face portrait, detailed eyes, nature documentary, dry skin, fuzzy skin, lens flare",
"num_inference_steps": 4,
"seed": 758143278,
"img_width": 1024,
"img_height": 1024,
"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
Number of denoising steps.
min : 4,
max : 10
Seed for image generation.
min : -1,
max : 999999999999999
Can only be 1024 for SDXL
Allowed values:
Can only be 1024 for SDXL
Allowed values:
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.
Segmind-VegaRT - Latent Consistency Model (LCM) LoRA of Segmind-Vega
Segmind-VegaRT a distilled consistency adapter for Segmind-Vega that allows to reduce the number of inference steps to only between 2 - 8 steps.
Latent Consistency Model (LCM) LoRA was proposed in LCM-LoRA: A universal Stable-Diffusion Acceleration Module by Simian Luo, Yiqin Tan, Suraj Patil, Daniel Gu et al.
This model is the first base model showing real-time capabilities at higher image resolutions, but has its own limitations;
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The model is good at close up portrait images of humans but tends to do poorly on full body images.
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Full body images may show deformed limbs and faces.
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This model is an LCM-LoRA model, so negative prompt and guidance scale parameters would not be applicable.
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Since it is a small model, the variability is low and hence may be best used for specific use cases when fine-tuned.
We will be releasing more fine tuned versions of this model so improve upon these specified limitations.
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