diff --git a/commands/chat.js b/commands/chat.js
index 4edb234..f4d0017 100644
--- a/commands/chat.js
+++ b/commands/chat.js
@@ -1,14 +1,15 @@
-const { submitPromptTransaction } = require("../controllers/chatGptController");
+const { submitTextPromptTransaction } = require("../controllers/openAiController");
 const { SlashCommandBuilder } = require('discord.js');
 const { DebugBuilder } = require("../utilities/debugBuilder");
 const log = new DebugBuilder("server", "chat");
 const { EmmeliaEmbedBuilder } = require('../libUtils');
 
+const COST_OF_COMMAND = 100
 
 module.exports = {
 	data: new SlashCommandBuilder()
 	.setName('chat')
-	.setDescription('Send a text prompt to ChatGPT')
+	.setDescription(`Send a text prompt to ChatGPT, by default this command costs *${COST_OF_COMMAND}* tokens`)
 	.addStringOption(option =>
 		option.setName('prompt')
 			.setDescription('The prompt to be sent to ChatGPT')
@@ -36,7 +37,7 @@ module.exports = {
     	const maxTokens = interaction.options.getNumber('tokens') ?? undefined;
 		const discordAccountId = interaction.member.id;
 		try {		
-			submitPromptTransaction(promptText, temperature, maxTokens, discordAccountId, async (err, result) => {
+			submitTextPromptTransaction(promptText, temperature, maxTokens, discordAccountId, async (err, result) => {
 				if (err) throw err;
 
 				const gptEmbed = new EmmeliaEmbedBuilder()
diff --git a/commands/imagine.js b/commands/imagine.js
new file mode 100644
index 0000000..976728f
--- /dev/null
+++ b/commands/imagine.js
@@ -0,0 +1,72 @@
+const { submitImagePromptTransaction } = require("../controllers/openAiController");
+const { SlashCommandBuilder } = require('discord.js');
+const { DebugBuilder } = require("../utilities/debugBuilder");
+const log = new DebugBuilder("server", "chat");
+const { EmmeliaEmbedBuilder } = require('../libUtils');
+
+const COST_OF_COMMAND = 100
+
+module.exports = {
+	data: new SlashCommandBuilder()
+	.setName('imagine')
+	.setDescription(`Submit an image generation prompt to DALL-E, by default this command costs *${COST_OF_COMMAND}* tokens`)
+	.addStringOption(option =>
+		option.setName('prompt')
+			.setDescription('The prompt to be sent to DALL-E')
+			.setRequired(true))
+	.addBooleanOption(option =>
+		option.setName('public')
+		.setDescription("Set this to false if you would like the message to only be visible to you. *defaults to public*")
+		.setRequired(false))
+	.addNumberOption(option =>
+		option.setName('images')
+			.setDescription('The number of images you wish to generate [1 - 10] *(defaults to 1)*')
+			.setRequired(false))
+	.addStringOption(option =>
+		option.setName('size')
+			.setDescription('The size of the images to be generated *defaults to 256px*')
+			.addChoices(
+				{ name: '1024px', value: '1024x1024' },
+				{ name: '512px', value: '512x512' },
+				{ name: '256px', value: '256x256' },
+			)
+			.setRequired(false)),
+	example: "imagine [the sinking of the titanic on acid] [4] [", // Need to figure out the tokens
+	isPrivileged: false,
+  	requiresTokens: true,
+	defaultTokenUsage: COST_OF_COMMAND,
+	deferInitialReply: true,
+	async execute(interaction) {
+		const promptText = interaction.options.getString('prompt');     
+    	const images = interaction.options.getNumber('images') ?? undefined;
+    	const size = interaction.options.getString('size') ?? undefined;
+		const discordAccountId = interaction.member.id;
+		try {		
+			submitImagePromptTransaction(promptText, discordAccountId, images, size, async (err, imageResults) => {
+				if (err) throw err;
+
+				log.DEBUG("Image Results: ", imageResults)
+
+				const dalleEmbed = new EmmeliaEmbedBuilder()
+					.setColor(0x0099FF)
+					.setTitle(`New Image Result`)										
+					.setDescription(`${interaction.member.user} sent the prompt: '${promptText}'`)					
+					.addFields({ name: 'Tokens Used', value: `${this.defaultTokenUsage}`, inline: true })
+					.setTimestamp()		
+					
+				const imagesInResult = Array(imageResults.results.data).length
+
+				log.DEBUG("Images in the result: ", imagesInResult);
+
+				if (imagesInResult == 1) dalleEmbed.setImage(imageResults.results.data[0].url);
+
+				await interaction.editReply({ embeds: [dalleEmbed], ephemeral: false });
+			});			
+
+			// Needs reply code to reply to the generation
+		}catch(err){
+			log.ERROR(err)        
+			//await interaction.reply(err.toString());
+		}
+	}
+};
\ No newline at end of file
diff --git a/controllers/chatGptController.js b/controllers/chatGptController.js
deleted file mode 100644
index f9b6c07..0000000
--- a/controllers/chatGptController.js
+++ /dev/null
@@ -1,73 +0,0 @@
-const { DebugBuilder } = require("../utilities/debugBuilder");
-const log = new DebugBuilder("server", "chatGptController");
-
-const { createTransaction } = require("./transactionController");
-
-const { encode } = require("gpt-3-encoder")
-const { Configuration, OpenAIApi } = require('openai');
-const configuration = new Configuration({
-    organization: process.env.OPENAI_ORG,
-    apiKey: process.env.OPENAI_KEY
-});
-
-const openai = new OpenAIApi(configuration);
-
-async function getGeneration(_prompt, callback, { _model = "text-davinci-003", _temperature = 0, _max_tokens = 100}) {
-    // If the temperature is set to null
-    _temperature = _temperature ?? 0;
-    // If the tokens are set to null
-    _max_tokens = _max_tokens ?? 100;
-
-    const encodedPrompt = encode(_prompt);
-    const promptTokens = encodedPrompt.length;
-    log.DEBUG("Tokens in prompt: ", promptTokens);
-    _max_tokens = _max_tokens - promptTokens;
-    log.DEBUG("Updated max tokens: ", _max_tokens);
-
-    log.DEBUG("Getting chat with these properties: ", _prompt, _model, _temperature, _max_tokens)
-    try{        
-        const response = await openai.createCompletion({
-            model: _model,
-            prompt: _prompt,
-            temperature: _temperature,
-            max_tokens: _max_tokens
-        });            
-        if(!response?.data) return callback(new Error("Error in response data: ", response));
-        return callback(undefined, response.data);
-    } catch (err){
-        log.ERROR(err);
-        log.ERROR("Error when handing model request");
-        //return callback(err, undefined);
-    }
-    //var responseData = response.data.choices[0].text;
-}
-
-/**
- * Use ChatGPT to generate a response
- * 
- * @param {*} _prompt The use submitted text prompt
- * @param {*} param1 Default parameters can be modified
- * @returns 
- */
-exports.submitPromptTransaction = async (prompt, temperature, max_tokens, discord_account_id, callback) => {
-    
-
-    getGeneration(prompt, (err, gptResult) => {
-        if (err) callback(err, undefined);
-
-        // TODO - Use the pricing table to calculate discord tokens
-        log.DEBUG("GPT Response", gptResult);
-        const discordTokensUsed = gptResult.usage.total_tokens;
-
-        if (gptResult){            
-            createTransaction(gptResult.id, discord_account_id, discordTokensUsed, gptResult.usage.total_tokens, 1, async (err, transactionResult) => {
-                if (err) callback(err, undefined);
-
-                if (transactionResult){
-                    log.DEBUG("Transaction Created: ", transactionResult);
-                    callback(undefined, ({ promptResult: gptResult.choices[0].text, totalTokens: discordTokensUsed}));
-                }
-            });
-        }        
-    }, { _temperature: temperature, _max_tokens: max_tokens });        
-  }
\ No newline at end of file
diff --git a/controllers/openAiController.js b/controllers/openAiController.js
new file mode 100644
index 0000000..0cf6a64
--- /dev/null
+++ b/controllers/openAiController.js
@@ -0,0 +1,144 @@
+const { DebugBuilder } = require("../utilities/debugBuilder");
+const log = new DebugBuilder("server", "openAiController");
+const crypto = require('crypto')
+
+const { createTransaction } = require("./transactionController");
+
+const { encode } = require("gpt-3-encoder")
+const { Configuration, OpenAIApi } = require('openai');
+const configuration = new Configuration({
+    organization: process.env.OPENAI_ORG,
+    apiKey: process.env.OPENAI_KEY
+});
+
+const openai = new OpenAIApi(configuration);
+
+async function getImageGeneration(_prompt, { _images_to_generate = 1, _image_size = "256x256" }, callback){
+    const validImageSizes = ["256x256", "512x512", "1024x1024"];
+
+    if (!_prompt) callback(new Error("No prompt given before generating image"), undefined);
+    if (!validImageSizes.includes(_image_size)) callback(new Error("Image size given is not valid, valid size: ", validImageSizes));
+    if (!_images_to_generate || _images_to_generate === 0 || _images_to_generate > 10) callback(new Error("Invalid image count given"));
+
+    // Calculate token usage?
+
+    log.DEBUG("Getting image generation with these properties: ", _prompt, _images_to_generate, _image_size)
+    try{        
+        const response = await openai.createImage({
+            prompt: _prompt,
+            n: _images_to_generate,
+            size: _image_size
+        })
+
+
+        if(!response?.data) return callback(new Error("Error in response data: ", response));
+        return callback(undefined, response.data);
+    } catch (err){
+        log.ERROR(err);
+        log.ERROR("Error when handing image model request");
+        return callback(err, undefined);
+    }
+}
+
+/**
+ * Get the response from GPT with the specified parameters
+ * 
+ * @param {*} _prompt The text prompt to send to the model
+ * @param {*} callback The callback to call with errors or results
+ * @param {*} param2 Any parameters the user has changed for this request
+ * @returns 
+ */
+async function getTextGeneration(_prompt, callback, { _model = "text-davinci-003", _temperature = 0, _max_tokens = 100}) {
+    // If the temperature is set to null
+    _temperature = _temperature ?? 0;
+    // If the tokens are set to null
+    _max_tokens = _max_tokens ?? 100;
+
+    const encodedPrompt = encode(_prompt);
+    const promptTokens = encodedPrompt.length;
+    log.DEBUG("Tokens in prompt: ", promptTokens);
+    if (promptTokens >= _max_tokens) return callback(new Error("Tokens of request are greater than the set max tokens", promptTokens, _max_tokens));
+
+    _max_tokens = _max_tokens - promptTokens;
+    log.DEBUG("Updated max tokens: ", _max_tokens);
+
+    log.DEBUG("Getting chat with these properties: ", _prompt, _model, _temperature, _max_tokens)
+    try{        
+        const response = await openai.createCompletion({
+            model: _model,
+            prompt: _prompt,
+            temperature: _temperature,
+            max_tokens: _max_tokens
+        });            
+        if(!response?.data) return callback(new Error("Error in response data: ", response));
+        return callback(undefined, response.data);
+    } catch (err){
+        log.ERROR("Error when handing text model request: ", err);
+        return callback(err, undefined);
+    }
+    //var responseData = response.data.choices[0].text;
+}
+
+/**
+ * Use ChatGPT to generate a response
+ * 
+ * @param {*} _prompt The use submitted text prompt
+ * @param {*} param1 Default parameters can be modified
+ * @returns 
+ */
+exports.submitTextPromptTransaction = async (prompt, temperature, max_tokens, discord_account_id, callback) => {
+
+    getTextGeneration(prompt, (err, gptResult) => {
+        if (err) callback(err, undefined);
+
+        // TODO - Use the pricing table to calculate discord tokens
+        log.DEBUG("GPT Response", gptResult);
+        const discordTokensUsed = gptResult.usage.total_tokens;
+
+        if (gptResult){            
+            createTransaction(gptResult.id, discord_account_id, discordTokensUsed, gptResult.usage.total_tokens, 1, async (err, transactionResult) => {
+                if (err) callback(err, undefined);
+
+                if (transactionResult){
+                    log.DEBUG("Transaction Created: ", transactionResult);
+                    callback(undefined, ({ promptResult: gptResult.choices[0].text, totalTokens: discordTokensUsed}));
+                }
+            });
+        }        
+    }, { _temperature: temperature, _max_tokens: max_tokens });        
+  }
+
+/**
+ * Wrapper to generate an image from a prompt and params and store this information in a transaction
+ * 
+ * @param {*} prompt The prompt of the image
+ * @param {*} images_to_generate The number of images to generate
+ * @param {*} image_size The size of the image ["256x256" | "512x512" | "1024x1024"]
+ * @param {*} callback 
+ */
+ exports.submitImagePromptTransaction = async (prompt, discord_account_id, images_to_generate, image_size, callback) => {   
+
+    getImageGeneration(prompt, {
+        _image_size: image_size,
+        _images_to_generate: images_to_generate
+    }, (err, dalleResult) => {
+        if (err) callback(err, undefined);
+
+        // TODO - Use the pricing table to calculate discord tokens
+        log.DEBUG("DALL-E Result", dalleResult);
+        const discordTokensUsed = 100;
+        const providerTokensUsed = 100;
+        const dalleResultHash = crypto.createHash('sha1').update(JSON.stringify({ discord_account_id : prompt, images_to_generate: image_size })).digest('hex')
+
+        if (dalleResult){            
+            createTransaction(dalleResultHash, discord_account_id, discordTokensUsed, providerTokensUsed, 2, async (err, transactionResult) => {
+                if (err) callback(err, undefined);
+
+                if (transactionResult){
+                    log.DEBUG("Transaction Created: ", transactionResult);
+                    callback(undefined, ({ results: dalleResult, totalTokens: discordTokensUsed}));
+                }
+            });
+        }        
+    });        
+}
\ No newline at end of file