diff --git a/src/product/generate_image.ts b/src/product/generate_image.ts
index 4bef5a7..b09c077 100644
--- a/src/product/generate_image.ts
+++ b/src/product/generate_image.ts
@@ -9,8 +9,8 @@ dotenv.config();
 const inputDir = './generated/prompts';
 const outputDir = './generated/image';
 
-const COMFY_BASE_URL = process.env.SERVER2_COMFY_BASE_URL!;
-const COMFY_OUTPUT_DIR = process.env.SERVER2_COMFY_OUTPUT_DIR!;
+const COMFY_BASE_URL = process.env.SERVER1_COMFY_BASE_URL!;
+const COMFY_OUTPUT_DIR = process.env.SERVER1_COMFY_OUTPUT_DIR!;
 
 interface PngMetadata {
     prompts: {
diff --git a/src/product/generate_video.ts b/src/product/generate_video.ts
index e2f591a..0bf3a65 100644
--- a/src/product/generate_video.ts
+++ b/src/product/generate_video.ts
@@ -9,8 +9,8 @@ dotenv.config();
 const inputDir = './input';
 const outputDir = './generated/video';
 
-const COMFY_BASE_URL = process.env.SERVER2_COMFY_BASE_URL!;
-const COMFY_OUTPUT_DIR = process.env.SERVER2_COMFY_OUTPUT_DIR!;
+const COMFY_BASE_URL = process.env.SERVER1_COMFY_BASE_URL!;
+const COMFY_OUTPUT_DIR = process.env.SERVER1_COMFY_OUTPUT_DIR!;
 
 
 interface PngMetadata {
diff --git a/src/product/photo_download.ts b/src/product/photo_download.ts
new file mode 100644
index 0000000..e147d6f
--- /dev/null
+++ b/src/product/photo_download.ts
@@ -0,0 +1,64 @@
+import { callLmstudio } from '../lib/lmstudio';
+import { logger } from '../lib/logger';
+import dotenv from 'dotenv';
+import { downloadImagesFromPinterestSearch } from '../lib/pinterest';
+
+dotenv.config();
+
+const PHOTOS_PER_KEYWORD = 10;
+
+// Hard-coded user prompt
+const HARDCODED_USER_PROMPT = process.env.HARDCODED_USER_PROMPT || `
+    Generate 20 keywords for various photogeneric product. List of 20 most common photo generic product :
+    Example output : ["food", "perfume", "accesory", "jewelry", "shoes"...]
+    `;
+
+// Re-usable helper to extract JSON embedded in text
+function extractJsonFromText(text: string): any | null {
+    if (!text || typeof text !== 'string') return null;
+    const fenced = text.match(/```(?:json)?\s*([\s\S]*?)\s*```/i);
+    if (fenced && fenced[1]) {
+        try { return JSON.parse(fenced[1].trim()); } catch (e) { /* fall through */ }
+    }
+    const brace = text.match(/\{[\s\S]*\}|\[[\s\S]*\]/);
+    if (brace && brace[0]) {
+        try { return JSON.parse(brace[0]); } catch (e) { return null; }
+    }
+    // Attempt line-separated keywords fallback
+    const lines = text.split(/\r?\n/).map((l: string) => l.trim()).filter(Boolean);
+    if (lines.length > 1) return lines;
+    return null;
+}
+
+
+(async () => {
+    logger.info(`Starting photo download process with prompt: "${HARDCODED_USER_PROMPT}"`);
+
+    // 1. Extract keywords from the hardcoded prompt
+    const keywords = ["food", "perfume", "accesory", "jewelry", "shoes", "bags", "watches", "sunglasses", "hats", "scarves", "belts", "wallets", "gloves", "ties", "cufflinks", "brooches", "necklaces", "bracelets", "earrings"];
+
+    if (!keywords || keywords.length === 0) {
+        logger.error("Could not extract keywords from prompt. Exiting.");
+        return;
+    }
+    logger.info(`Extracted keywords: ${keywords.join(', ')}`);
+
+    // 2. Search Pinterest for each keyword and download photos directly
+    let totalDownloads = 0;
+    for (const keyword of keywords) {
+        try {
+            logger.info(`Downloading photos for keyword: "${keyword}"`);
+            const downloadedPaths = await downloadImagesFromPinterestSearch(`${keyword} product photo`, PHOTOS_PER_KEYWORD);
+            if (downloadedPaths.length > 0) {
+                logger.info(`Successfully downloaded ${downloadedPaths.length} images for "${keyword}"`);
+                totalDownloads += downloadedPaths.length;
+            } else {
+                logger.warn(`No images were downloaded for "${keyword}"`);
+            }
+        } catch (error) {
+            logger.error(`An error occurred while processing keyword ${keyword}:`, error);
+        }
+    }
+
+    logger.info(`Photo download process finished. Total images downloaded: ${totalDownloads}`);
+})();