diff --git a/packages/core/src/generation.ts b/packages/core/src/generation.ts
index b70c6dd69f4..19d8035ea26 100644
--- a/packages/core/src/generation.ts
+++ b/packages/core/src/generation.ts
@@ -783,11 +783,6 @@ export const generateImage = async (
     data?: string[];
     error?: any;
 }> => {
-    const { prompt, width, height } = data;
-    let { count } = data;
-    if (!count) {
-        count = 1;
-    }
 
     const model = getModel(runtime.imageModelProvider, ModelClass.IMAGE);
     const modelSettings = models[runtime.imageModelProvider].imageSettings;
@@ -843,16 +838,18 @@ export const generateImage = async (
             const imageURL = await response.json();
             return { success: true, data: [imageURL] };
         } else if (
+            // TODO: Fix LLAMACLOUD -> Together?
             runtime.imageModelProvider === ModelProviderName.LLAMACLOUD
         ) {
             const together = new Together({ apiKey: apiKey as string });
+            // Fix: steps 4 is for schnell; 28 is for dev. 
             const response = await together.images.create({
                 model: "black-forest-labs/FLUX.1-schnell",
-                prompt,
-                width,
-                height,
+                data.prompt,
+                data.width,
+                data.height,
                 steps: modelSettings?.steps ?? 4,
-                n: count,
+                n: data.count,
             });
             const urls: string[] = [];
             for (let i = 0; i < response.data.length; i++) {
@@ -879,11 +876,11 @@ export const generateImage = async (
 
             // Prepare the input parameters according to their schema
             const input = {
-                prompt: prompt,
+                prompt: data.prompt,
                 image_size: "square" as const,
                 num_inference_steps: modelSettings?.steps ?? 50,
-                guidance_scale: 3.5,
-                num_images: count,
+                guidance_scale: data.guidanceScale || 3.5,
+                num_images: data.count,
                 enable_safety_checker: true,
                 output_format: "png" as const,
                 seed: data.seed ?? 6252023,
@@ -933,9 +930,9 @@ export const generateImage = async (
             const openai = new OpenAI({ apiKey: apiKey as string });
             const response = await openai.images.generate({
                 model,
-                prompt,
+                data.prompt,
                 size: targetSize as "1024x1024" | "1792x1024" | "1024x1792",
-                n: count,
+                n: data.count,
                 response_format: "b64_json",
             });
             const base64s = response.data.map(
diff --git a/packages/plugin-image-generation/src/enviroment.ts b/packages/plugin-image-generation/src/environment.ts
similarity index 100%
rename from packages/plugin-image-generation/src/enviroment.ts
rename to packages/plugin-image-generation/src/environment.ts
diff --git a/packages/plugin-image-generation/src/index.ts b/packages/plugin-image-generation/src/index.ts
index 8a8ec4102a4..897572f7f9a 100644
--- a/packages/plugin-image-generation/src/index.ts
+++ b/packages/plugin-image-generation/src/index.ts
@@ -11,7 +11,7 @@ import { generateImage } from "@ai16z/eliza";
 
 import fs from "fs";
 import path from "path";
-import { validateImageGenConfig } from "./enviroment";
+import { validateImageGenConfig } from "./environment";
 
 export function saveBase64Image(base64Data: string, filename: string): string {
     // Create generatedImages directory if it doesn't exist
@@ -97,7 +97,17 @@ const imageGeneration: Action = {
         runtime: IAgentRuntime,
         message: Memory,
         state: State,
-        options: any,
+        options: {
+          width?: number; 
+          height?: number; 
+          count?: number;
+          negativePrompt?: string;
+          numIterations?: number;
+          guidanceScale?: number;
+          seed?: number;
+          modelId?: string;
+          jobId?: string;
+        },
         callback: HandlerCallback
     ) => {
         elizaLogger.log("Composing state for message:", message);
@@ -116,9 +126,15 @@ const imageGeneration: Action = {
         const images = await generateImage(
             {
                 prompt: imagePrompt,
-                width: 1024,
-                height: 1024,
-                count: 1,
+                ...(options.width !== undefined ? { width: options.width || 1024 } : {}),
+                ...(options.height !== undefined ? { height: options.height || 1024 } : {}),
+                ...(options.count !== undefined ? { count: options.count || 1 } : {}),
+                ...(options.negativePrompt !== undefined ? { negativePrompt: options.negativePrompt } : {}),
+                ...(options.numIterations !== undefined ? { numIterations: options.numIterations } : {}),
+                ...(options.guidanceScale !== undefined ? { guidanceScale: options.guidanceScale } : {}),
+                ...(options.seed !== undefined ? { seed: options.seed } : {}),
+                ...(options.modelId !== undefined ? { modelId: options.modelId } : {}),
+                ...(options.jobId !== undefined ? { jobId: options.jobId } : {})
             },
             runtime
         );