update document

docs/publicModelsAPI/Flux-Schnell API Usage Guide.md

+---
+title: flux-schnell API Usage Guide
+slug: 6DCWoM_fbbp1XuSHH8vAw
+createdAt: Thu Jul 18 2024 06:12:37 GMT+0000 (Coordinated Universal Time)
+updatedAt: Thu Jul 18 2024 13:40:04 GMT+0000 (Coordinated Universal Time)
+---
+
+# flux-schnell API Usage Guide
+
+## Introduction
+
+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.
+
+## Prerequisites
+
+- Node.js environment
+- `aonweb` library installed
+- Valid Aonet APPID
+
+## Basic Usage
+
+### 1. Import Required Modules
+
+```js
+import { AI, AIOptions } from 'aonweb';
+```
+
+### 2. Initialize AI Instance
+
+```js
+const ai_options = new AIOptions({
+    appId: 'your_app_id_here',
+    dev_mode: true
+});
+
+const aonweb = new AI(ai_options);
+```
+
+### 3. Prepare Input Data Example
+
+```js
+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
+    }
+};
+```
+
+```js
+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
+    }
+};
+```
+
+```js
+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
+    }
+};
+```
+
+### 4. Call the AI Model
+
+```js
+const price = 8; // Cost of the AI call
+try {
+    const response = await aonweb.prediction("/predictions/ai/flux-schnells", data, price);
+    // Handle response
+     console.log("Flux-Schnell result:", response);
+} catch (error) {
+    // Error handling
+    console.error("Error generating :", error);
+}
+```
+
+### Parameter Description
+
+- `num_outputs`: Number, Number of outputs to generate.
+- `prompt`: String, Prompt for generated image.
+- `aspect_ratio`: String, Aspect ratio for the generated image.
+- `output_format`: String, Format of the output images.
+- `output_quality`: Number,Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
+
+### Notes
+
+- The API may take some time to process the input and generate the result, consider implementing appropriate wait or loading states.
+- Handle possible errors, such as network issues, invalid input, or API limitations.
+
+### Example Response
+
+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.

docs/publicModelsAPI/XTTS-V2 API Usage Guide copy.md

+---
+title: XTTS-V2 API Usage Guide
+slug: 6DCWoM_fbbp1XuSHH8vVc
+createdAt: Thu Jul 18 2024 06:12:37 GMT+0000 (Coordinated Universal Time)
+updatedAt: Thu Jul 18 2024 13:40:04 GMT+0000 (Coordinated Universal Time)
+---
+
+# XTTS-V2 API Usage Guide
+
+## Introduction
+
+This document will guide developers on how to use the aonweb library to call the XTTS-V2 API, which is used for voice cloning and text-to-speech conversion.
+
+## Prerequisites
+
+- Node.js environment
+- `aonweb` library installed
+- Valid Aonet APPID
+
+## Basic Usage
+
+### 1. Import Required Modules
+
+```js
+import { AI, AIOptions } from 'aonweb';
+```
+
+### 2. Initialize AI Instance
+
+```js
+const ai_options = new AIOptions({
+    appId: 'your_app_id_here',
+    dev_mode: true
+});
+
+const aonweb = new AI(ai_options);
+```
+
+### 3. Prepare Input Data Example
+
+```js
+const data = {
+   input:{
+        "text": "Hi there, I'm your new voice clone. Try your best to upload quality audio",
+        "speaker": "https://aonweb.ai/pbxt/Jt79w0xsT64R1JsiJ0LQRL8UcWspg5J4RFrU6YwEKpOT1ukS/male.wav",
+        "language": "en",
+        "cleanup_voice": false
+    }
+};
+```
+
+### 4. Call the AI Model
+
+```js
+const price = 8; // Cost of the AI call
+try {
+    const response = await aonweb.prediction("/predictions/ai/xtts-v2", data, price);
+    // Handle response
+     console.log("XTTS-V2 result:", response);
+} catch (error) {
+    // Error handling
+    console.error("Error generating :", error);
+}
+```
+
+### Parameter Description
+
+- `text`: String, the text content to be converted into speech.
+- `speaker`: String, the URL of the audio file used as the voice sample for cloning.
+- `language`: String, specifies the language of the text, with "en" indicating English.
+- `cleanup_voice`: Boolean, whether to perform cleanup processing on the generated voice.
+
+### Notes
+
+- Ensure that the provided audio URL is publicly accessible and of good quality to achieve the best cloning effect.
+- The API may take some time to process the input and generate the result, consider implementing appropriate wait or loading states.
+- Handle possible errors, such as network issues, invalid input, or API limitations.
+- Adhere to the terms of use and privacy regulations, especially when handling voice samples of others.
+
+### Example Response
+
+The API response will contain the URL of the generated cloned voice or other relevant information. Parse and use the response data according to the actual API documentation.