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const axios = require('axios');
const api_key = "YOUR API-KEY";
const url = "https://api.segmind.com/v1/playground-v2.5";
const data = {
"prompt": "(solo), anthro, male, protogen, high detailed fur, smile, hyperdetailed,realistic",
"negative_prompt": "bad anatomy, bad hands, missing fingers,low quality,blurry",
"samples": 1,
"num_inference_steps": 25,
"guidance_scale": 3,
"seed": 36446545871,
"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,low quality,blurry'
Number of samples to generate.
min : 1,
max : 4
Number of denoising steps.
min : 20,
max : 100
Scale for classifier-free guidance
min : 1,
max : 25
Seed for image generation.
min : -1,
max : 999999999999999
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.
Playground V2.5
Playground V2.5 is a diffusion-based text-to-image generative model, designed to create highly aesthetic images based on textual prompts. As the successor to Playground V2, it represents the state-of-the-art in open-source aesthetic quality. Playground v2.5 excels at producing visually attractive images. It achieves this through advancements in color, contrast and human details.
Technical Details
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Model Type: Playground V2.5 operates as a Latent Diffusion Model.
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Text Encoders: It utilizes two fixed, pre-trained text encoders: OpenCLIP-ViT/G and CLIP-ViT/L.
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Architecture: The model follows the same architecture as Stable Diffusion XL.
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Resolution: Playground V2.5 generates images at a resolution of 1024x1024 pixels, catering to both portrait and landscape aspect ratios.
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Scheduler Options: The default scheduler is EDMDPMSolver Multistep Scheduler, which enhances fine details. A guidance scale of 3.0 works well with this scheduler.
Playground V2.5 outperforms SDXL, PixArt-α, DALL-E 3, Midjourney 5.2, and even its predecessor, Playground V2.
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