globalsprak - npm Package Compare versions

Comparing version 1.0.3 to 1.0.4

index.js

@@ -433,23 +433,2 @@ const axios = require('axios');
 
-// PixArt v2 Function
-async function pixartv2(prompt, prompt_negative, image_style, width, height, lcm_inference_steps) {
-  try {
-    const response = await axios.get(`${API}/v2/pixart?prompt=${encodeURIComponent(prompt)}&prompt_negative=${encodeURIComponent(prompt_negative)}&image_style=${encodeURIComponent(image_style)}&width=${encodeURIComponent(width)}&height=${encodeURIComponent(height)}&lcm_inference_steps=${encodeURIComponent(lcm_inference_steps)}`);
-    return response.data;
-  } catch (error) {
-    console.error('Error fetching PixArt v2 response:', error);
-    return null;
-  }
-}
-
-// PixArt Function
-async function pixart(prompt, prompt_negative, image_style, width, height, sampler, dpm_guidance_scale, dpm_inference_steps, sa_guidance_scale, sa_inference_steps) {
-  try {
-    const response = await axios.get(`${API}/v1/pixart?prompt=${encodeURIComponent(prompt)}&prompt_negative=${encodeURIComponent(prompt_negative)}&image_style=${encodeURIComponent(image_style)}&width=${encodeURIComponent(width)}&height=${encodeURIComponent(height)}&sampler=${encodeURIComponent(sampler)}&dpm_guidance_scale=${encodeURIComponent(dpm_guidance_scale)}&dpm_inference_steps=${encodeURIComponent(dpm_inference_steps)}&sa_guidance_scale=${encodeURIComponent(sa_guidance_scale)}&sa_inference_steps=${encodeURIComponent(sa_inference_steps)}`);
-    return response.data;
-  } catch (error) {
-    console.error('Error fetching PixArt response:', error);
-    return null;
-  }
-}
 async function translate(text, lang) {
@@ -524,3 +503,51 @@ try {
 }
+async function animagen(prompt, count) {
+  try {
+    const response = await axios.get(`${API}/v1/animagen?prompt=${encodeURIComponent(prompt)}&count=${count}`);
+    return response.data;
+  } catch (error) {
+    console.error('Error fetching data:', error);
+    return null;
+  }
+}
 
+async function pixelart(prompt, count) { // Changed the function name from "pixel-art" to "pixelArt"
+  try {
+    const response = await axios.get(`${API}/v1/pixel-art?prompt=${encodeURIComponent(prompt)}&count=${count}`);
+    return response.data;
+  } catch (error) {
+    console.error('Error fetching data:', error);
+    return null;
+  }
+}
+
+async function xi(prompt, count) {
+  try {
+    const response = await axios.get(`${API}/v1/xi?prompt=${encodeURIComponent(prompt)}&count=${count}`);
+    return response.data;
+  } catch (error) {
+    console.error('Error fetching data:', error);
+    return null;
+  }
+}
+
+async function gen(prompt, count) {
+  try {
+    const response = await axios.get(`${API}/v1/gen?prompt=${encodeURIComponent(prompt)}&count=${count}`);
+    return response.data;
+  } catch (error) {
+    console.error('Error fetching data:', error);
+    return null;
+  }
+}
+
+async function gen2(prompt, count) {
+  try {
+    const response = await axios.get(`${API}/v1/generate?prompt=${encodeURIComponent(prompt)}&count=${count}`);
+    return response.data;
+  } catch (error) {
+    console.error('Error fetching data:', error);
+    return null;
+  }
+}
     // Exporting All Functions
@@ -568,4 +595,4 @@ module.exports = {
       generate,
-      pixart,
-      pixartv2,
+      gen,
+      gen2,
       translate,
@@ -577,2 +604,5 @@ lyrics,
       weather,
+      xi,
+      animagen,
+      pixelart,
     };

package.json

 {
   "name": "globalsprak",
-  "version": "1.0.3",
-  "description": "",
+  "version": "1.0.4",
+  "description": "globalsprak is a Node.js package that provides access to various AI models, image generation, content downloading from various platforms, and more.",
   "main": "index.js",
   "scripts": {
-    "test": "node index.js"
+    "start": "node index.js"
   },
@@ -32,8 +32,14 @@ "keywords": [
     "dalle",
-    "xl",
     "xl3",
-    "GlobalSprak"
+    "animagen",
+    "image2art",
+    "upscale",
+    "pinterest",
+    "generate",
+    "openai",
+    "prodia",
+    "flux"
   ],
   "author": "Aryan Chauhan",
-  "license": "ISC",
+  "license": "MIT",
   "dependencies": {
@@ -40,0 +46,0 @@ "@types/node": "^18.0.6",

readme.md

@@ -83,4 +83,201 @@ # GLOBALSPRAK
 
-    main();
+    main(); 
     ```
+
+  ### GPTWeb
+
+  - **Function**: `gptweb(prompt)`
+  - **Description**: Retrieves a web-enhanced response from the GPT model based on the provided prompt.
+  - **Example**:
+      ```javascript
+      const { gptweb } = require('globalsprak');
+
+      async function main() {
+        const prompt = "Latest tech trends in 2024";
+        const response = await gptweb(prompt);
+        console.log("GPTWeb Response:", response);
+      }
+
+      main();
+      ```
+    
+### Llama
+
+Get a response from the Llama AI model.
+
+```javascript
+const { llama } = require('globalsprak');
+
+async function main() {
+  const prompt = "Tell me a joke";
+  const response = await llama(prompt);
+  console.log("Llama Response:", response);
+}
+
+main();
+```
+
+### Mixtral
+
+Get a response from the Mixtral AI model.
+
+```javascript
+const { mixtral } = require('globalsprak');
+
+async function main() {
+  const prompt = "Explain quantum mechanics";
+  const response = await mixtral(prompt);
+  console.log("Mixtral Response:", response);
+}
+
+main();
+```
+
+### Coral
+
+Interact with Coral or reset conversation context.
+
+#### Regular Chat with Coral
+
+```javascript
+const { coral } = require('globalsprak');
+
+async function main() {
+  const prompt = "How's the weather today?";
+  const response = await coral(prompt);
+  console.log("Coral Response:", response);
+}
+
+main();
+```
+
+#### Chat with Coral using User ID
+
+```javascript
+const { coralchat } = require('globalsprak');
+
+async function main() {
+  const prompt = "Tell me a story";
+  const uid = "user123";
+  const response = await coralchat(prompt, uid);
+  console.log("Coral Chat Response:", response);
+}
+
+main();
+```
+
+#### Reset Coral Conversation
+
+```javascript
+const { coralreset } = require('globalsprak');
+
+async function main() {
+  const uid = "user123";
+  const response = await coralreset(uid);
+  console.log("Coral Reset Response:", response);
+}
+
+main();
+```
+
+  ### Animagen
+
+  - **Function**: `animagen(prompt, count)`
+  - **Description**: Generates anime-style art based on the provided prompt.
+  - **Parameters**:
+    - `prompt` (string): The prompt to generate anime-style art.
+    - `count` (number): The number of images to generate.
+  - **Example**:
+      ```javascript
+      const { animagen } = require('globalsprak'); 
+      async function main() {
+        const prompt = "Create anime-style art";
+        const count = 3;
+        const response = await animagen(prompt, count);
+        console.log("Animagen Response:", response);
+      }
+
+      main();
+      ```
+
+  ### PixelArt
+
+  - **Function**: `pixelart(prompt, count)`
+  - **Description**: Generates pixel art based on the provided prompt.
+  - **Parameters**:
+    - `prompt` (string): The prompt to generate pixel art.
+    - `count` (number): The number of images to generate.
+  - **Example**:
+      ```javascript
+      const { pixelart } = require('globalsprak');
+      async function main() {
+        const prompt = "Create a pixel art character";
+        const count = 2;
+        const response = await pixelArt(prompt, count);
+        console.log("PixelArt Response:", response);
+      }
+
+      main();
+      ```
+
+  ### Xi
+
+  - **Function**: `xi(prompt, count)`
+  - **Description**: Generates art based on the Xi engine using the provided prompt.
+  - **Parameters**:
+    - `prompt` (string): The prompt to generate art with the Xi engine.
+    - `count` (number): The number of images to generate.
+  - **Example**:
+      ```javascript
+      const { xi } = require('globalsprak');
+      async function main() {
+        const prompt = "Create surreal landscape art";
+        const count = 1;
+        const response = await xi(prompt, count);
+        console.log("Xi Response:", response);
+      }
+
+      main();
+      ```
+
+  ### Gen
+
+  - **Function**: `gen(prompt, count)`
+  - **Description**: Generates art based on a generic engine using the provided prompt.
+  - **Parameters**:
+    - `prompt` (string): The prompt to generate generic art.
+    - `count` (number): The number of images to generate.
+  - **Example**:
+      ```javascript
+      const { gen } = require('globalsprak');
+      async function main() {
+        const prompt = "Generate futuristic city art";
+        const count = 4;
+        const response = await gen(prompt, count);
+        console.log("Gen Response:", response);
+      }
+
+      main();
+      ```
+
+  ### Gen2
+
+  - **Function**: `gen2(prompt, count)`
+  - **Description**: Generates art using the Gen2 engine based on the provided prompt.
+  - **Parameters**:
+    - `prompt` (string): The prompt to generate Gen2 art.
+    - `count` (number): The number of images to generate.
+  - **Example**:
+      ```javascript
+      const { gen2 } = require('globalsprak');
+      async function main() {
+        const prompt = "Create abstract artwork";
+        const count = 5;
+        const response = await gen2(prompt, count);
+        console.log("Gen2 Response:", response);
+      }
+
+      main();
+      ```
+
 ### XL3
@@ -95,3 +292,3 @@
     async function main() {
-      const prompt = "Your XL3 prompt";
+      const prompt = "Prompts";
       const response = await xl3(prompt);
@@ -104,4 +301,2 @@ console.log("XL3 Response:", response);
 
----
-
 ### Flux
@@ -124,4 +319,2 @@
 
----
-
 ### Mini DALL-E
@@ -144,4 +337,2 @@
 
----
-
 ### DALL-E v2
@@ -163,5 +354,2 @@
     ```
-
----
-
 ### DALL-E v3
@@ -188,4 +376,2 @@
 
----
-
 ### XL
@@ -211,4 +397,2 @@
 
----
-
 ### Generate
@@ -230,100 +414,2 @@
     ```
-
----
-
-### PixArt v2
-
-- **Function**: `pixartv2(prompt, prompt_negative, image_style, width, height, lcm_inference_steps)`
-- **Description**: Fetches a response from PixArt v2 API using the provided parameters for detailed image control.
-- **Example**:
-    ```javascript
-    const { pixartv2 } = require('globalsprak');
-
-    async function main() {
-      const prompt = "Your PixArt v2 prompt";
-      const prompt_negative = "Negative prompt";
-      const image_style = "photorealistic";
-      const width = 512;
-      const height = 512;
-      const lcm_inference_steps = 50;
-      const response = await pixartv2(prompt, prompt_negative, image_style, width, height, lcm_inference_steps);
-      console.log("PixArt v2 Response:", response);
-    }
-
-    main();
-    ```
-## Image Styles
-
-Choose from the following available image types:
-
-- **(No style)**
-- **Cinematic**
-- **Photographic**
-- **Anime**
-- **Manga**
-- **Digital Art**
-- **Pixel Art**
-- **Fantasy Art**
-- **Neonpunk**
-- **3D Model**
-
-
-### PixArt
-
-- **Function**: `pixart(prompt, prompt_negative, image_style, width, height, sampler, dpm_guidance_scale, dpm_inference_steps, sa_guidance_scale, sa_inference_steps)`
-- **Description**: Fetches a response from the PixArt API with extended parameters for precise image generation.
-- **Example**:
-    ```javascript
-    const { pixart } = require('globalsprak');
-
-    async function main() {
-      const prompt = "Your PixArt prompt";
-      const prompt_negative = "Negative prompt";
-      const image_style = "artistic";
-      const width = 512;
-      const height = 512;
-      const sampler = "euler_a";
-      const dpm_guidance_scale = 7.5;
-      const dpm_inference_steps = 50;
-      const sa_guidance_scale = 5.0;
-      const sa_inference_steps = 25;
-      const response = await pixart(prompt, prompt_negative, image_style, width, height, sampler, dpm_guidance_scale, dpm_inference_steps, sa_guidance_scale, sa_inference_steps);
-      console.log("PixArt Response:", response);
-    }
-
-    main();
-     ```
-
-  ## Image Styles
-
-Choose from the following available image types:
-
-- **(No style)**
-- **Cinematic**
-- **Photographic**
-- **Anime**
-- **Manga**
-- **Digital Art**
-- **Pixel Art**
-- **Fantasy Art**
-- **Neonpunk**
-- **3D Model**
-
-
-### GPTWeb
-
-- **Function**: `gptweb(prompt)`
-- **Description**: Retrieves a web-enhanced response from the GPT model based on the provided prompt.
-- **Example**:
-    ```javascript
-    const { gptweb } = require('globalsprak');
-
-    async function main() {
-      const prompt = "Latest tech trends in 2024";
-      const response = await gptweb(prompt);
-      console.log("GPTWeb Response:", response);
-    }
-
-    main();
-    ```
 ### EMI
@@ -448,82 +534,2 @@
 
-
-### Llama
-
-Get a response from the Llama AI model.
-
-```javascript
-const { llama } = require('globalsprak');
-
-async function main() {
-  const prompt = "Tell me a joke";
-  const response = await llama(prompt);
-  console.log("Llama Response:", response);
-}
-
-main();
-```
-
-### Mixtral
-
-Get a response from the Mixtral AI model.
-
-```javascript
-const { mixtral } = require('globalsprak');
-
-async function main() {
-  const prompt = "Explain quantum mechanics";
-  const response = await mixtral(prompt);
-  console.log("Mixtral Response:", response);
-}
-
-main();
-```
-
-### Coral
-
-Interact with Coral or reset conversation context.
-
-#### Regular Chat with Coral
-
-```javascript
-const { coral } = require('globalsprak');
-
-async function main() {
-  const prompt = "How's the weather today?";
-  const response = await coral(prompt);
-  console.log("Coral Response:", response);
-}
-
-main();
-```
-
-#### Chat with Coral using User ID
-
-```javascript
-const { coralchat } = require('globalsprak');
-
-async function main() {
-  const prompt = "Tell me a story";
-  const uid = "user123";
-  const response = await coralchat(prompt, uid);
-  console.log("Coral Chat Response:", response);
-}
-
-main();
-```
-
-#### Reset Coral Conversation
-
-```javascript
-const { coralreset } = require('globalsprak');
-
-async function main() {
-  const uid = "user123";
-  const response = await coralreset(uid);
-  console.log("Coral Reset Response:", response);
-}
-
-main();
-```
-
 ### Download Tools
@@ -840,26 +846,2 @@
 
-
-## Error Handling
-
-Each function has built-in error handling. If an error occurs during the API request, an error message will be logged, and `null` will be returned as the response. Example:
-
-```javascript
-const { gpt } = require('globalsprak');
-
-async function main() {
-  try {
-    const response = await gpt("Explain AI");
-    if (response) {
-      console.log("GPT Response:", response);
-    } else {
-      console.error("Failed to fetch GPT response.");
-    }
-  } catch (error) {
-    console.error("An error occurred:", error);
-  }
-}
-
-main();
-```
-
 ### Translate
@@ -1075,3 +1057,25 @@
 ```
+## Error Handling
 
+Each function has built-in error handling. If an error occurs during the API request, an error message will be logged, and `null` will be returned as the response. Example:
+
+```javascript
+const { gpt } = require('globalsprak');
+
+async function main() {
+  try {
+    const response = await gpt("Explain AI");
+    if (response) {
+      console.log("GPT Response:", response);
+    } else {
+      console.error("Failed to fetch GPT response.");
+    }
+  } catch (error) {
+    console.error("An error occurred:", error);
+  }
+}
+
+main();
+```
+
 ## API Reference
@@ -1078,0 +1082,0 @@

Fixed alerts

Mixed license

License

(Experimental) Package contains multiple licenses.

Found 1 instance in 1 package

Improved metrics

Total package byte prevSize

48657

increased by2.14%

Number of low license alerts

0

decreased by-100%

Lines of code

554

increased by4.73%

Number of lines in readme file

1106

increased by0.36%

No dependency changes