This document will guide developers on how to use the aonweb library to call the flux-schnell API, The fastest image generation model tailored for local development and personal use.

const ai_options = new AIOptions({
    appId: 'your_app_id_here',
    dev_mode: true
});

const aonweb = new AI(ai_options);

const data = {
   input:{
      "prompt": "black forest gateau cake spelling out the words \\"FLUX SCHNELL\\", tasty, food photography, dynamic shot",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "output_quality": 90
    }
};

const data = {
   input:{
      "num_outputs": 1,
      "prompt": "POV someone holding their hand up, stunning black forest mountains",
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "output_quality": 90
    }
};

const data = {
   input:{
      "num_outputs": 1,
      "prompt": "3 magical wizards stand on a yellow table\\nOn the left, a wizard in black robes holds a sign that says ‘AI’\\nIn the middle, a witch in red robes holds a sign that says ‘is’\\nand on the right, a wizard in blue robes holds a sign that says ‘cool’\\nBehind them a purple dragon",
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "output_quality": 90
    }
};

const price = 8; // Cost of the AI call
try {
    const response = await aonweb.prediction("/predictions/ai/flux-schnell@iAON", data, price);
    // Handle response
     console.log("Flux-Schnell result:", response);
} catch (error) {
    // Error handling
    console.error("Error generating :", error);
}

The API response will contain the URL of the generated image or other relevant information. Parse and use the response data according to the actual API documentation.

flux-schnell API Usage Guide

IDM-VTON AI Model Usage Guide

LLaMA 3 API Usage Guide

AI Model API

AGI Open Network Docs

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