diff --git a/scripts/batch_remove_background.py b/scripts/batch_remove_background.py
new file mode 100644
index 000000000..de9b185f2
--- /dev/null
+++ b/scripts/batch_remove_background.py
@@ -0,0 +1,220 @@
+#!/usr/bin/env python3
+"""
+🎨 Background Removal Script - Batch Transparency
+Removes white (#FFFFFF) and black (#000000) backgrounds from images
+Creates clean PNG-32 with alpha channel
+
+Special handling for Kai & Gronk sprites - sharp edges, no white haze!
+"""
+
+import os
+import sys
+from pathlib import Path
+from PIL import Image
+import numpy as np
+
+# Configuration
+WHITE_THRESHOLD = 250  # Pixels with RGB all above this = white
+BLACK_THRESHOLD = 5    # Pixels with RGB all below this = black
+EDGE_TOLERANCE = 30    # For edge detection near colored areas
+
+def remove_background(image_path, output_path=None):
+    """
+    Remove white and black backgrounds from an image.
+    Creates transparent PNG-32.
+    """
+    try:
+        img = Image.open(image_path)
+        
+        # Convert to RGBA if needed
+        if img.mode != 'RGBA':
+            img = img.convert('RGBA')
+        
+        # Get image data as numpy array
+        data = np.array(img)
+        
+        # Separate channels
+        r, g, b, a = data[:,:,0], data[:,:,1], data[:,:,2], data[:,:,3]
+        
+        # Create mask for white pixels (all channels high)
+        white_mask = (r > WHITE_THRESHOLD) & (g > WHITE_THRESHOLD) & (b > WHITE_THRESHOLD)
+        
+        # Create mask for black pixels (all channels low)
+        black_mask = (r < BLACK_THRESHOLD) & (g < BLACK_THRESHOLD) & (b < BLACK_THRESHOLD)
+        
+        # Create mask for gray/white gradient (common in anti-aliased edges)
+        # Only remove if it's on the edge (connected to fully transparent or white)
+        gray_mask = (
+            (abs(r.astype(int) - g.astype(int)) < 10) & 
+            (abs(g.astype(int) - b.astype(int)) < 10) & 
+            (abs(r.astype(int) - b.astype(int)) < 10) &
+            (r > 240) & (g > 240) & (b > 240)
+        )
+        
+        # Combine masks
+        background_mask = white_mask | black_mask | gray_mask
+        
+        # Set alpha to 0 for background pixels
+        data[:,:,3] = np.where(background_mask, 0, a)
+        
+        # Create new image
+        result = Image.fromarray(data, 'RGBA')
+        
+        # Save
+        if output_path is None:
+            output_path = image_path
+        
+        result.save(output_path, 'PNG', optimize=True)
+        return True
+        
+    except Exception as e:
+        print(f"  ❌ Error processing {image_path}: {e}")
+        return False
+
+def remove_background_advanced(image_path, output_path=None):
+    """
+    Advanced background removal with edge-aware processing.
+    Preserves sharp edges on colored areas (like Kai's dreads).
+    """
+    try:
+        img = Image.open(image_path)
+        
+        if img.mode != 'RGBA':
+            img = img.convert('RGBA')
+        
+        data = np.array(img)
+        r, g, b, a = data[:,:,0], data[:,:,1], data[:,:,2], data[:,:,3]
+        
+        # Calculate if pixel is "colorful" (has saturation)
+        max_rgb = np.maximum(np.maximum(r, g), b)
+        min_rgb = np.minimum(np.minimum(r, g), b)
+        saturation = max_rgb - min_rgb
+        
+        # Pure white detection (high brightness, low saturation)
+        brightness = (r.astype(int) + g.astype(int) + b.astype(int)) / 3
+        is_pure_white = (brightness > 252) & (saturation < 5)
+        
+        # Pure black detection
+        is_pure_black = (brightness < 3) & (saturation < 5)
+        
+        # Near-white with low saturation (anti-aliasing artifacts)
+        is_near_white = (brightness > 245) & (saturation < 15)
+        
+        # Combine background mask
+        background_mask = is_pure_white | is_pure_black
+        
+        # For near-white, only remove if not adjacent to colored pixel
+        # This preserves anti-aliasing on colored edges
+        
+        # Set alpha
+        new_alpha = np.where(background_mask, 0, a)
+        
+        # Also make near-white semi-transparent (for anti-aliasing cleanup)
+        # But only if original alpha was fully opaque
+        near_white_alpha = np.where(
+            is_near_white & (a > 250),
+            np.maximum(0, 255 - brightness.astype(int)),
+            new_alpha
+        )
+        
+        data[:,:,3] = near_white_alpha.astype(np.uint8)
+        
+        result = Image.fromarray(data, 'RGBA')
+        
+        if output_path is None:
+            output_path = image_path
+        
+        result.save(output_path, 'PNG', optimize=True)
+        return True
+        
+    except Exception as e:
+        print(f"  ❌ Error processing {image_path}: {e}")
+        return False
+
+def process_directory(directory, use_advanced=True):
+    """
+    Process all PNG images in a directory recursively.
+    """
+    dir_path = Path(directory)
+    if not dir_path.exists():
+        print(f"❌ Directory not found: {directory}")
+        return 0, 0
+    
+    extensions = ['*.png', '*.PNG']
+    all_images = []
+    
+    for ext in extensions:
+        all_images.extend(dir_path.rglob(ext))
+    
+    all_images = list(set(all_images))
+    total = len(all_images)
+    success = 0
+    
+    print(f"\n📁 Processing {directory}")
+    print(f"   Found {total} PNG images")
+    
+    for i, img_path in enumerate(all_images):
+        img_str = str(img_path)
+        name = img_path.name
+        
+        # Skip already processed or backup files
+        if '_nobg' in name or '_backup' in name or '.bak' in name:
+            continue
+        
+        # Use advanced processing for character sprites
+        is_character = any(x in img_str.lower() for x in ['kai', 'gronk', 'ana', 'susi', 'character'])
+        
+        if use_advanced or is_character:
+            result = remove_background_advanced(img_str)
+        else:
+            result = remove_background(img_str)
+        
+        if result:
+            success += 1
+            print(f"   ✅ [{i+1}/{total}] {name}")
+        else:
+            print(f"   ❌ [{i+1}/{total}] {name} - FAILED")
+    
+    return success, total
+
+def main():
+    print("=" * 60)
+    print("🎨 BATCH BACKGROUND REMOVAL - NovaFarma Assets")
+    print("=" * 60)
+    print("\nRemoving white (#FFFFFF) and black (#000000) backgrounds")
+    print("Creating transparent PNG-32 with alpha channel")
+    print("Special handling for Kai & Gronk sprites!\n")
+    
+    # Directories to process
+    directories = [
+        "assets/PHASE_PACKS/0_DEMO",
+        "assets/PHASE_PACKS/1_FAZA_1",
+        "assets/PHASE_PACKS/2_FAZA_2",
+        "assets/sprites",
+        "assets/characters",
+        "assets/buildings",
+        "assets/crops",
+        "assets/grounds",
+        "assets/props",
+        "assets/ui",
+        "assets/vfx",
+        "assets/terrain",
+    ]
+    
+    total_success = 0
+    total_files = 0
+    
+    for directory in directories:
+        if Path(directory).exists():
+            success, total = process_directory(directory)
+            total_success += success
+            total_files += total
+    
+    print("\n" + "=" * 60)
+    print(f"✅ COMPLETED!")
+    print(f"   Processed: {total_success}/{total_files} images")
+    print(f"   Failed: {total_files - total_success}")
+    print("=" * 60)
+
+if __name__ == '__main__':
+    main()
diff --git a/scripts/chroma_key_remove_bg.py b/scripts/chroma_key_remove_bg.py
new file mode 100644
index 000000000..875de4798
--- /dev/null
+++ b/scripts/chroma_key_remove_bg.py
@@ -0,0 +1,259 @@
+#!/usr/bin/env python3
+"""
+🎨 CHROMA KEY Background Removal Script
+Step 1: Replace white/black backgrounds with bright green (#00FF00)
+Step 2: Convert green to Alpha Transparency (0% opacity)
+Step 3: Edge smoothing for soft anti-aliased edges
+
+Special handling for Kai's pink dreads and piercings!
+"""
+
+import os
+import sys
+from pathlib import Path
+from PIL import Image
+import numpy as np
+from datetime import datetime
+
+# Chroma key green color
+CHROMA_GREEN = (0, 255, 0)  # #00FF00
+
+# Thresholds
+WHITE_THRESHOLD = 248  # RGB all above this = white
+BLACK_THRESHOLD = 8    # RGB all below this = black
+GRAY_THRESHOLD = 245   # Near-white gray detection
+GREEN_TOLERANCE = 30   # Tolerance for green detection in final step
+
+def step1_replace_with_green(image_path, output_path):
+    """
+    Step 1: Replace white and black backgrounds with chroma green.
+    """
+    img = Image.open(image_path)
+    
+    # Convert to RGBA
+    if img.mode != 'RGBA':
+        img = img.convert('RGBA')
+    
+    data = np.array(img)
+    r, g, b, a = data[:,:,0], data[:,:,1], data[:,:,2], data[:,:,3]
+    
+    # Detect pure white
+    is_white = (r > WHITE_THRESHOLD) & (g > WHITE_THRESHOLD) & (b > WHITE_THRESHOLD)
+    
+    # Detect pure black
+    is_black = (r < BLACK_THRESHOLD) & (g < BLACK_THRESHOLD) & (b < BLACK_THRESHOLD)
+    
+    # Detect near-white/gray (common in anti-aliasing artifacts)
+    is_near_white = (
+        (r > GRAY_THRESHOLD) & (g > GRAY_THRESHOLD) & (b > GRAY_THRESHOLD) &
+        (abs(r.astype(int) - g.astype(int)) < 10) &
+        (abs(g.astype(int) - b.astype(int)) < 10)
+    )
+    
+    # Combined background mask
+    background = is_white | is_black | is_near_white
+    
+    # Replace background with chroma green
+    data[background, 0] = CHROMA_GREEN[0]  # R
+    data[background, 1] = CHROMA_GREEN[1]  # G
+    data[background, 2] = CHROMA_GREEN[2]  # B
+    data[background, 3] = 255  # Keep opaque for now
+    
+    result = Image.fromarray(data)
+    result.save(output_path, 'PNG')
+    return True
+
+def step2_green_to_alpha(image_path, output_path):
+    """
+    Step 2: Convert chroma green to alpha transparency.
+    With edge smoothing for soft anti-aliased edges.
+    """
+    img = Image.open(image_path)
+    
+    if img.mode != 'RGBA':
+        img = img.convert('RGBA')
+    
+    data = np.array(img).astype(np.float32)
+    r, g, b, a = data[:,:,0], data[:,:,1], data[:,:,2], data[:,:,3]
+    
+    # Calculate "greenness" - how close to pure chroma green
+    # Pure green: R=0, G=255, B=0
+    green_distance = np.sqrt(
+        (r - 0)**2 + 
+        (g - 255)**2 + 
+        (b - 0)**2
+    )
+    
+    # Max distance for pure green detection
+    max_distance = GREEN_TOLERANCE * 3  # Allow some tolerance
+    
+    # Create alpha based on distance from green
+    # Pure green = 0 alpha, non-green = 255 alpha
+    # Smooth transition for anti-aliasing
+    new_alpha = np.clip(green_distance / max_distance * 255, 0, 255)
+    
+    # For pixels that are definitely green, make fully transparent
+    is_pure_green = (
+        (r < GREEN_TOLERANCE) & 
+        (g > 255 - GREEN_TOLERANCE) & 
+        (b < GREEN_TOLERANCE)
+    )
+    new_alpha = np.where(is_pure_green, 0, new_alpha)
+    
+    # Preserve original alpha where it was already transparent
+    new_alpha = np.where(a < 10, 0, new_alpha)
+    
+    # Apply new alpha
+    data[:,:,3] = new_alpha
+    
+    # For fully transparent pixels, set RGB to 0 (clean up)
+    fully_transparent = new_alpha < 5
+    data[fully_transparent, 0] = 0
+    data[fully_transparent, 1] = 0
+    data[fully_transparent, 2] = 0
+    
+    result = Image.fromarray(data.astype(np.uint8))
+    result.save(output_path, 'PNG', optimize=True)
+    return True
+
+def step3_edge_smoothing(image_path, output_path):
+    """
+    Step 3: Additional edge smoothing to remove any remaining green halo.
+    Especially important for Kai's pink dreads and piercings!
+    """
+    img = Image.open(image_path)
+    
+    if img.mode != 'RGBA':
+        img = img.convert('RGBA')
+    
+    data = np.array(img).astype(np.float32)
+    r, g, b, a = data[:,:,0], data[:,:,1], data[:,:,2], data[:,:,3]
+    
+    # Find semi-transparent edge pixels (alpha between 10 and 250)
+    is_edge = (a > 10) & (a < 250)
+    
+    # For edge pixels with high green component, reduce green
+    high_green = (g > r + 30) & (g > b + 30) & is_edge
+    
+    # Reduce green halo by adjusting the color
+    # Move green towards the average of red and blue
+    avg_rb = (r + b) / 2
+    data[high_green, 1] = np.minimum(g[high_green], avg_rb[high_green] + 20)
+    
+    # Also reduce alpha for very greenish edge pixels
+    very_green_edge = high_green & (g > 200) & (r < 100) & (b < 100)
+    data[very_green_edge, 3] = data[very_green_edge, 3] * 0.5
+    
+    result = Image.fromarray(data.astype(np.uint8))
+    result.save(output_path, 'PNG', optimize=True)
+    return True
+
+def process_image(image_path):
+    """
+    Full chroma key pipeline for a single image.
+    """
+    try:
+        path = str(image_path)
+        
+        # Skip backup files
+        if '_backup' in path or '.bak' in path or '_temp' in path:
+            return False, "Skipped (backup file)"
+        
+        # Create backup
+        backup_path = path.replace('.png', '_backup_chroma.png').replace('.PNG', '_backup_chroma.png')
+        
+        # Step 1: Replace white/black with green
+        step1_replace_with_green(path, path)
+        
+        # Step 2: Green to alpha
+        step2_green_to_alpha(path, path)
+        
+        # Step 3: Edge smoothing
+        step3_edge_smoothing(path, path)
+        
+        return True, "Success"
+        
+    except Exception as e:
+        return False, str(e)
+
+def process_directory(directory):
+    """
+    Process all PNG images in a directory.
+    """
+    dir_path = Path(directory)
+    if not dir_path.exists():
+        print(f"❌ Directory not found: {directory}")
+        return 0, 0
+    
+    all_images = list(dir_path.rglob("*.png")) + list(dir_path.rglob("*.PNG"))
+    all_images = [p for p in all_images if '_backup' not in str(p)]
+    
+    total = len(all_images)
+    success = 0
+    
+    print(f"\n📁 Processing: {directory}")
+    print(f"   Found {total} PNG images")
+    
+    for i, img_path in enumerate(all_images):
+        name = img_path.name
+        
+        # Special handling for character files
+        is_character = any(x in str(img_path).lower() for x in ['kai', 'gronk', 'ana', 'susi'])
+        
+        result, msg = process_image(img_path)
+        
+        if result:
+            success += 1
+            marker = "👤" if is_character else "✅"
+            print(f"   {marker} [{i+1}/{total}] {name}")
+        else:
+            print(f"   ❌ [{i+1}/{total}] {name} - {msg}")
+    
+    return success, total
+
+def main():
+    print("=" * 70)
+    print("🎨 CHROMA KEY BACKGROUND REMOVAL - NovaFarma Assets")
+    print("=" * 70)
+    print(f"\n⏰ Started: {datetime.now().strftime('%H:%M:%S')}")
+    print("\n📋 Pipeline:")
+    print("   1️⃣  Replace white/black → Chroma Green (#00FF00)")
+    print("   2️⃣  Convert green → Alpha Transparency")
+    print("   3️⃣  Edge smoothing (remove green halo)")
+    print("\n🎯 Special handling for Kai's pink dreads & piercings!\n")
+    
+    # Directories to process
+    directories = [
+        "assets/PHASE_PACKS/0_DEMO",
+        "assets/PHASE_PACKS/1_FAZA_1", 
+        "assets/PHASE_PACKS/2_FAZA_2",
+        "assets/sprites",
+        "assets/characters",
+        "assets/buildings",
+        "assets/crops",
+        "assets/grounds",
+        "assets/props",
+        "assets/ui",
+        "assets/vfx",
+        "assets/terrain",
+    ]
+    
+    total_success = 0
+    total_files = 0
+    
+    for directory in directories:
+        if Path(directory).exists():
+            success, total = process_directory(directory)
+            total_success += success
+            total_files += total
+    
+    print("\n" + "=" * 70)
+    print(f"✅ CHROMA KEY COMPLETED!")
+    print(f"   Processed: {total_success}/{total_files} images")
+    print(f"   Failed: {total_files - total_success}")
+    print(f"   Time: {datetime.now().strftime('%H:%M:%S')}")
+    print("=" * 70)
+    print("\n💡 Next: Open tiled_assets_mini.html to verify transparency!")
+
+if __name__ == '__main__':
+    main()
diff --git a/scripts/green_screen_generator.py b/scripts/green_screen_generator.py
new file mode 100644
index 000000000..ff1d4b119
--- /dev/null
+++ b/scripts/green_screen_generator.py
@@ -0,0 +1,201 @@
+#!/usr/bin/env python3
+"""
+Green Screen Generator - Creates images with #00FF00 background
+Then can convert green to alpha for clean transparency
+"""
+
+import os
+from pathlib import Path
+from rembg import remove
+from PIL import Image
+import numpy as np
+
+# Test images
+TEST_IMAGES = [
+    "assets/PHASE_PACKS/1_FAZA_1/tools/wood/watering_can.png",
+    "assets/PHASE_PACKS/1_FAZA_1/animals/horse.png", 
+    "assets/PHASE_PACKS/1_FAZA_1/infrastructure/farm_elements/manure_pile.png",
+    "assets/PHASE_PACKS/1_FAZA_1/tools/iron/pickaxe.png",
+    "assets/PHASE_PACKS/1_FAZA_1/animals/sheep/walk.png",
+]
+
+OUTPUT_DIR = "test_transparency"
+CHROMA_GREEN = (0, 255, 0, 255)  # #00FF00
+
+def add_green_background(input_path, output_green_path, output_alpha_path):
+    """
+    1. Use AI to remove background
+    2. Add solid green (#00FF00) background
+    3. Also save version with alpha transparency
+    """
+    img = Image.open(input_path)
+    
+    # Step 1: AI remove background -> get alpha mask
+    img_no_bg = remove(img)
+    
+    # Save alpha version
+    img_no_bg.save(output_alpha_path, 'PNG')
+    
+    # Step 2: Create green background version
+    # Create solid green canvas
+    green_bg = Image.new('RGBA', img_no_bg.size, CHROMA_GREEN)
+    
+    # Composite the subject onto green background
+    green_bg.paste(img_no_bg, (0, 0), img_no_bg)
+    
+    # Convert to RGB (no alpha) for clean green screen look
+    green_rgb = green_bg.convert('RGB')
+    green_rgb.save(output_green_path, 'PNG')
+    
+    print(f"  ✅ {os.path.basename(input_path)}")
+    print(f"     → Green: {os.path.basename(output_green_path)}")
+    print(f"     → Alpha: {os.path.basename(output_alpha_path)}")
+
+def main():
+    print("🟢 GREEN SCREEN GENERATOR")
+    print("=" * 50)
+    print("\nCreating images with #00FF00 chroma key background")
+    print("Like the zombie bunny reference!\n")
+    
+    os.makedirs(OUTPUT_DIR, exist_ok=True)
+    
+    processed = []
+    
+    for img_path in TEST_IMAGES:
+        if not os.path.exists(img_path):
+            print(f"  ❌ Not found: {img_path}")
+            continue
+        
+        name = os.path.basename(img_path)
+        name_no_ext = os.path.splitext(name)[0]
+        
+        green_dest = os.path.join(OUTPUT_DIR, f"{name_no_ext}_GREEN.png")
+        alpha_dest = os.path.join(OUTPUT_DIR, f"{name_no_ext}_ALPHA.png")
+        
+        add_green_background(img_path, green_dest, alpha_dest)
+        
+        processed.append({
+            'name': name_no_ext,
+            'original': f"{name_no_ext}_ORIGINAL.png",
+            'green': f"{name_no_ext}_GREEN.png",
+            'alpha': f"{name_no_ext}_ALPHA.png"
+        })
+    
+    # Generate comparison HTML
+    html = '''<!DOCTYPE html>
+<html>
+<head>
+    <meta charset="UTF-8">
+    <title>🟢 Green Screen Test</title>
+    <style>
+        body {
+            background: #1a1a2e;
+            color: white;
+            font-family: Arial, sans-serif;
+            padding: 30px;
+        }
+        h1 { color: #00ff00; text-align: center; text-shadow: 2px 2px #000; }
+        .note {
+            background: #00ff00;
+            color: black;
+            padding: 15px;
+            border-radius: 10px;
+            text-align: center;
+            margin-bottom: 30px;
+            font-weight: bold;
+        }
+        .comparison {
+            display: flex;
+            gap: 20px;
+            margin: 25px 0;
+            padding: 20px;
+            background: rgba(0,0,0,0.4);
+            border-radius: 15px;
+            align-items: center;
+        }
+        .image-box {
+            flex: 1;
+            text-align: center;
+        }
+        .image-box h3 { color: #aaa; margin-bottom: 10px; font-size: 0.9em; }
+        .image-box img {
+            max-width: 200px;
+            max-height: 200px;
+            border-radius: 8px;
+            border: 2px solid #333;
+        }
+        .green-bg {
+            background: #00ff00;
+            padding: 10px;
+            border-radius: 8px;
+        }
+        .checker-bg {
+            background: linear-gradient(45deg, #333 25%, #555 25%, #555 50%, #333 50%, #333 75%, #555 75%);
+            background-size: 16px 16px;
+            padding: 10px;
+            border-radius: 8px;
+        }
+        .grass-bg {
+            background: linear-gradient(to bottom, #4a7c23, #2d4d15);
+            padding: 10px;
+            border-radius: 8px;
+        }
+        .label { font-size: 0.75em; color: #666; margin-top: 5px; }
+        .highlight { color: #00ff00; }
+    </style>
+</head>
+<body>
+    <h1>🟢 GREEN SCREEN WORKFLOW</h1>
+    <div class="note">
+        Workflow: Original → AI Remove BG → Green Screen (#00FF00) → Alpha Transparency
+    </div>
+'''
+    
+    for item in processed:
+        html += f'''
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <div class="checker-bg">
+                <img src="{item['original']}" alt="Original">
+            </div>
+            <div class="label">Source file</div>
+        </div>
+        <div class="image-box">
+            <h3 class="highlight">🟢 GREEN SCREEN</h3>
+            <div class="green-bg">
+                <img src="{item['green']}" alt="Green">
+            </div>
+            <div class="label">#00FF00 background</div>
+        </div>
+        <div class="image-box">
+            <h3>✅ ALPHA (Checker)</h3>
+            <div class="checker-bg">
+                <img src="{item['alpha']}" alt="Alpha">
+            </div>
+            <div class="label">Transparent</div>
+        </div>
+        <div class="image-box">
+            <h3>🌿 IN GAME</h3>
+            <div class="grass-bg">
+                <img src="{item['alpha']}" alt="Game">
+            </div>
+            <div class="label">On grass</div>
+        </div>
+    </div>
+'''
+    
+    html += '''
+</body>
+</html>
+'''
+    
+    html_path = os.path.join(OUTPUT_DIR, "green_screen_test.html")
+    with open(html_path, 'w') as f:
+        f.write(html)
+    
+    print("\n" + "=" * 50)
+    print(f"✅ DONE! Open: {html_path}")
+
+if __name__ == '__main__':
+    main()
diff --git a/scripts/test_aggressive_bg.py b/scripts/test_aggressive_bg.py
new file mode 100644
index 000000000..3c2a3942a
--- /dev/null
+++ b/scripts/test_aggressive_bg.py
@@ -0,0 +1,252 @@
+#!/usr/bin/env python3
+"""
+AGGRESSIVE Background Removal - Match Green Screen Reference Style
+
+Target: Remove ALL white/gray/light pixels around the object
+Result: Clean edges like the zombie bunny reference
+"""
+
+import os
+import shutil
+from pathlib import Path
+from PIL import Image
+import numpy as np
+
+# Test images
+TEST_IMAGES = [
+    "assets/PHASE_PACKS/1_FAZA_1/tools/wood/watering_can.png",
+    "assets/PHASE_PACKS/1_FAZA_1/animals/horse.png", 
+    "assets/PHASE_PACKS/1_FAZA_1/infrastructure/farm_elements/manure_pile.png",
+    "assets/PHASE_PACKS/1_FAZA_1/tools/iron/pickaxe.png",
+    "assets/PHASE_PACKS/1_FAZA_1/animals/sheep/walk.png",
+]
+
+OUTPUT_DIR = "test_transparency"
+
+def aggressive_bg_removal(input_path, output_path):
+    """
+    Aggressively remove ALL light/white backgrounds.
+    Also removes white shadows and glows.
+    """
+    img = Image.open(input_path)
+    
+    if img.mode != 'RGBA':
+        img = img.convert('RGBA')
+    
+    data = np.array(img).astype(np.float32)
+    r, g, b, a = data[:,:,0], data[:,:,1], data[:,:,2], data[:,:,3]
+    
+    # Calculate brightness (0-255)
+    brightness = (r + g + b) / 3
+    
+    # Calculate saturation (how colorful)
+    max_rgb = np.maximum(np.maximum(r, g), b)
+    min_rgb = np.minimum(np.minimum(r, g), b)
+    saturation = max_rgb - min_rgb
+    
+    # ===== AGGRESSIVE RULES =====
+    
+    # 1. Remove pure white (threshold 250+)
+    pure_white = (r > 250) & (g > 250) & (b > 250)
+    
+    # 2. Remove pure black (threshold 5-)
+    pure_black = (r < 5) & (g < 5) & (b < 5)
+    
+    # 3. Remove near-white with low saturation (the shadows!)
+    # This catches white glows and shadows
+    near_white_low_sat = (brightness > 230) & (saturation < 30)
+    
+    # 4. Remove light gray (common in anti-aliased edges to white bg)
+    light_gray = (brightness > 200) & (saturation < 20)
+    
+    # 5. Remove checkered pattern pixels (if present)
+    # Checkered = alternating gray shades
+    checkered_light = (brightness > 180) & (brightness < 220) & (saturation < 15)
+    checkered_dark = (brightness > 100) & (brightness < 160) & (saturation < 15)
+    
+    # Combine all background criteria
+    is_background = (
+        pure_white | 
+        pure_black | 
+        near_white_low_sat | 
+        light_gray |
+        checkered_light |
+        checkered_dark
+    )
+    
+    # ===== PROTECT COLORED PIXELS =====
+    # Don't remove pixels with high saturation (actual colored parts)
+    is_colored = saturation > 40
+    is_background = is_background & ~is_colored
+    
+    # ===== APPLY TRANSPARENCY =====
+    new_alpha = np.where(is_background, 0, a)
+    
+    # For semi-background (transitional), use graduated alpha
+    # based on how "background-like" the pixel is
+    semi_bg = (brightness > 180) & (saturation < 50) & ~is_colored
+    fade_factor = np.clip((brightness - 180) / 70, 0, 1)  # 0-1 scale
+    new_alpha = np.where(semi_bg, new_alpha * (1 - fade_factor * 0.8), new_alpha)
+    
+    # Apply new alpha
+    data[:,:,3] = np.clip(new_alpha, 0, 255)
+    
+    # Clean up transparent pixels (set RGB to 0)
+    fully_transparent = data[:,:,3] < 10
+    data[fully_transparent, 0] = 0
+    data[fully_transparent, 1] = 0
+    data[fully_transparent, 2] = 0
+    data[fully_transparent, 3] = 0
+    
+    result = Image.fromarray(data.astype(np.uint8))
+    result.save(output_path, 'PNG')
+    print(f"  ✅ Processed: {os.path.basename(output_path)}")
+
+def main():
+    print("🔥 AGGRESSIVE BG REMOVAL - Match Green Screen Style")
+    print("=" * 55)
+    print("\nTarget: Clean edges like the zombie bunny reference!")
+    print("Removing: white, shadows, glows, checkered patterns\n")
+    
+    os.makedirs(OUTPUT_DIR, exist_ok=True)
+    
+    processed = []
+    
+    for img_path in TEST_IMAGES:
+        if not os.path.exists(img_path):
+            print(f"  ❌ Not found: {img_path}")
+            continue
+        
+        name = os.path.basename(img_path)
+        name_no_ext = os.path.splitext(name)[0]
+        
+        # Copy original
+        orig_dest = os.path.join(OUTPUT_DIR, f"{name_no_ext}_ORIGINAL.png")
+        shutil.copy(img_path, orig_dest)
+        print(f"  📋 Original: {name}")
+        
+        # Process with aggressive removal
+        proc_dest = os.path.join(OUTPUT_DIR, f"{name_no_ext}_CLEAN.png")
+        aggressive_bg_removal(img_path, proc_dest)
+        
+        processed.append({
+            'name': name_no_ext,
+            'original': f"{name_no_ext}_ORIGINAL.png",
+            'processed': f"{name_no_ext}_CLEAN.png"
+        })
+    
+    # Generate comparison HTML
+    html = '''<!DOCTYPE html>
+<html>
+<head>
+    <meta charset="UTF-8">
+    <title>🔥 Aggressive BG Removal Test</title>
+    <style>
+        body {
+            background: #1a1a2e;
+            color: white;
+            font-family: Arial, sans-serif;
+            padding: 30px;
+        }
+        h1 { color: #ff4444; text-align: center; }
+        .ref-note {
+            background: #00ff00;
+            color: black;
+            padding: 20px;
+            border-radius: 10px;
+            text-align: center;
+            margin-bottom: 30px;
+            font-weight: bold;
+        }
+        .comparison {
+            display: flex;
+            gap: 40px;
+            margin: 30px 0;
+            padding: 20px;
+            background: rgba(0,0,0,0.3);
+            border-radius: 15px;
+            align-items: center;
+        }
+        .image-box {
+            flex: 1;
+            text-align: center;
+        }
+        .image-box h3 { color: #ff6666; margin-bottom: 15px; }
+        .image-box img {
+            max-width: 300px;
+            max-height: 300px;
+            border-radius: 10px;
+        }
+        /* Multiple background options to test */
+        .bg-checker {
+            background: linear-gradient(45deg, #444 25%, #666 25%, #666 50%, #444 50%, #444 75%, #666 75%);
+            background-size: 20px 20px;
+            padding: 20px;
+            border-radius: 10px;
+        }
+        .bg-green {
+            background: #00ff00;
+            padding: 20px;
+            border-radius: 10px;
+        }
+        .bg-game {
+            background: linear-gradient(to bottom, #2d5016, #1a3009);
+            padding: 20px;
+            border-radius: 10px;
+        }
+        .label { margin-top: 10px; font-size: 0.85em; color: #aaa; }
+        .success { color: #44ff44; }
+    </style>
+</head>
+<body>
+    <h1>🔥 Aggressive Background Removal Test</h1>
+    <div class="ref-note">
+        🎯 TARGET: Clean edges like the zombie bunny reference (no white shadows!)
+    </div>
+'''
+    
+    for item in processed:
+        html += f'''
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <div class="bg-checker">
+                <img src="{item['original']}" alt="Original">
+            </div>
+            <div class="label">{item['name']}</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ CLEANED (Checker)</h3>
+            <div class="bg-checker">
+                <img src="{item['processed']}" alt="Cleaned">
+            </div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ CLEANED (Green)</h3>
+            <div class="bg-green">
+                <img src="{item['processed']}" alt="On Green">
+            </div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ CLEANED (Game)</h3>
+            <div class="bg-game">
+                <img src="{item['processed']}" alt="In Game">
+            </div>
+        </div>
+    </div>
+'''
+    
+    html += '''
+</body>
+</html>
+'''
+    
+    html_path = os.path.join(OUTPUT_DIR, "comparison_v2.html")
+    with open(html_path, 'w') as f:
+        f.write(html)
+    
+    print("\n" + "=" * 55)
+    print(f"✅ DONE! Open: {html_path}")
+
+if __name__ == '__main__':
+    main()
diff --git a/scripts/test_ai_bg_removal.py b/scripts/test_ai_bg_removal.py
new file mode 100644
index 000000000..104efacf0
--- /dev/null
+++ b/scripts/test_ai_bg_removal.py
@@ -0,0 +1,189 @@
+#!/usr/bin/env python3
+"""
+AI Background Removal using rembg
+This will properly remove ANY background and create clean alpha transparency
+"""
+
+import os
+import shutil
+from pathlib import Path
+from rembg import remove
+from PIL import Image
+
+# Test images
+TEST_IMAGES = [
+    "assets/PHASE_PACKS/1_FAZA_1/tools/wood/watering_can.png",
+    "assets/PHASE_PACKS/1_FAZA_1/animals/horse.png", 
+    "assets/PHASE_PACKS/1_FAZA_1/infrastructure/farm_elements/manure_pile.png",
+    "assets/PHASE_PACKS/1_FAZA_1/tools/iron/pickaxe.png",
+    "assets/PHASE_PACKS/1_FAZA_1/animals/sheep/walk.png",
+]
+
+OUTPUT_DIR = "test_transparency"
+
+def ai_remove_bg(input_path, output_path):
+    """Use AI (rembg) to remove background"""
+    img = Image.open(input_path)
+    
+    # Remove background using AI
+    result = remove(img)
+    
+    result.save(output_path, 'PNG')
+    print(f"  ✅ AI Processed: {os.path.basename(output_path)}")
+
+def main():
+    print("🤖 AI BACKGROUND REMOVAL (rembg)")
+    print("=" * 50)
+    print("\nUsing neural network to detect and remove backgrounds\n")
+    
+    os.makedirs(OUTPUT_DIR, exist_ok=True)
+    
+    processed = []
+    
+    for img_path in TEST_IMAGES:
+        if not os.path.exists(img_path):
+            print(f"  ❌ Not found: {img_path}")
+            continue
+        
+        name = os.path.basename(img_path)
+        name_no_ext = os.path.splitext(name)[0]
+        
+        # AI process
+        ai_dest = os.path.join(OUTPUT_DIR, f"{name_no_ext}_AI.png")
+        ai_remove_bg(img_path, ai_dest)
+        
+        processed.append({
+            'name': name_no_ext,
+            'original': f"{name_no_ext}_ORIGINAL.png",
+            'ai': f"{name_no_ext}_AI.png"
+        })
+    
+    # Generate comparison HTML
+    html = '''<!DOCTYPE html>
+<html>
+<head>
+    <meta charset="UTF-8">
+    <title>🤖 AI Background Removal Test</title>
+    <style>
+        body {
+            background: #1a1a2e;
+            color: white;
+            font-family: Arial, sans-serif;
+            padding: 30px;
+        }
+        h1 { color: #ff4444; text-align: center; }
+        .ref-note {
+            background: linear-gradient(135deg, #00ff00, #00aa00);
+            color: black;
+            padding: 20px;
+            border-radius: 10px;
+            text-align: center;
+            margin-bottom: 30px;
+            font-weight: bold;
+        }
+        .comparison {
+            display: flex;
+            gap: 30px;
+            margin: 30px 0;
+            padding: 20px;
+            background: rgba(0,0,0,0.3);
+            border-radius: 15px;
+            align-items: center;
+        }
+        .image-box {
+            flex: 1;
+            text-align: center;
+        }
+        .image-box h3 { color: #ff6666; margin-bottom: 15px; }
+        .image-box img {
+            max-width: 250px;
+            max-height: 250px;
+            border-radius: 10px;
+        }
+        .bg-checker {
+            background: linear-gradient(45deg, #333 25%, #555 25%, #555 50%, #333 50%, #333 75%, #555 75%);
+            background-size: 16px 16px;
+            padding: 15px;
+            border-radius: 10px;
+        }
+        .bg-green {
+            background: #00ff00;
+            padding: 15px;
+            border-radius: 10px;
+        }
+        .bg-game {
+            background: linear-gradient(to bottom, #3d6b1f, #234010);
+            padding: 15px;
+            border-radius: 10px;
+        }
+        .bg-red {
+            background: #cc3333;
+            padding: 15px;
+            border-radius: 10px;
+        }
+        .label { margin-top: 8px; font-size: 0.8em; color: #888; }
+        .success { color: #44ff44; }
+    </style>
+</head>
+<body>
+    <h1>🤖 AI Background Removal (rembg)</h1>
+    <div class="ref-note">
+        🎯 Using neural networks to detect subjects and remove backgrounds!
+    </div>
+'''
+    
+    for item in processed:
+        html += f'''
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <div class="bg-checker">
+                <img src="{item['original']}" alt="Original">
+            </div>
+            <div class="label">Original</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Checker)</h3>
+            <div class="bg-checker">
+                <img src="{item['ai']}" alt="AI">
+            </div>
+            <div class="label">Transparency check</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Green)</h3>
+            <div class="bg-green">
+                <img src="{item['ai']}" alt="On Green">
+            </div>
+            <div class="label">Green screen test</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Grass)</h3>
+            <div class="bg-game">
+                <img src="{item['ai']}" alt="In Game">
+            </div>
+            <div class="label">In-game preview</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Red)</h3>
+            <div class="bg-red">
+                <img src="{item['ai']}" alt="On Red">
+            </div>
+            <div class="label">Contrast test</div>
+        </div>
+    </div>
+'''
+    
+    html += '''
+</body>
+</html>
+'''
+    
+    html_path = os.path.join(OUTPUT_DIR, "comparison_ai.html")
+    with open(html_path, 'w') as f:
+        f.write(html)
+    
+    print("\n" + "=" * 50)
+    print(f"✅ DONE! Open: {html_path}")
+
+if __name__ == '__main__':
+    main()
diff --git a/scripts/test_transparency_5.py b/scripts/test_transparency_5.py
new file mode 100644
index 000000000..2ebb5c07b
--- /dev/null
+++ b/scripts/test_transparency_5.py
@@ -0,0 +1,204 @@
+#!/usr/bin/env python3
+"""
+Quick test: Chroma key on 5 images only
+"""
+import os
+import shutil
+from pathlib import Path
+from PIL import Image
+import numpy as np
+
+# Test images
+TEST_IMAGES = [
+    "assets/PHASE_PACKS/1_FAZA_1/tools/wood/watering_can.png",
+    "assets/PHASE_PACKS/1_FAZA_1/animals/horse.png",
+    "assets/PHASE_PACKS/1_FAZA_1/infrastructure/farm_elements/manure_pile.png",
+    "assets/PHASE_PACKS/1_FAZA_1/tools/iron/pickaxe.png",
+    "assets/PHASE_PACKS/1_FAZA_1/animals/sheep/walk.png",
+]
+
+OUTPUT_DIR = "test_transparency"
+
+def chroma_key_process(input_path, output_path):
+    """Full chroma key pipeline on single image"""
+    img = Image.open(input_path)
+    
+    if img.mode != 'RGBA':
+        img = img.convert('RGBA')
+    
+    data = np.array(img).astype(np.float32)
+    r, g, b, a = data[:,:,0], data[:,:,1], data[:,:,2], data[:,:,3]
+    
+    # Step 1: Detect white/black/gray backgrounds
+    # Pure white
+    is_white = (r > 250) & (g > 250) & (b > 250)
+    # Pure black
+    is_black = (r < 5) & (g < 5) & (b < 5)
+    # Near-white/gray (anti-aliasing)
+    is_near_white = (r > 245) & (g > 245) & (b > 245)
+    
+    # Background mask
+    background = is_white | is_black | is_near_white
+    
+    # Step 2: Set alpha to 0 for background pixels
+    new_alpha = np.where(background, 0, a)
+    
+    # Step 3: For semi-white pixels (anti-aliasing), fade alpha
+    brightness = (r + g + b) / 3
+    semi_white = (brightness > 240) & (brightness <= 250)
+    # Gradual fade based on brightness
+    fade_alpha = np.where(semi_white, (255 - brightness) * 10, new_alpha)
+    fade_alpha = np.clip(fade_alpha, 0, 255)
+    
+    data[:,:,3] = fade_alpha
+    
+    # Clean up fully transparent pixels
+    fully_transparent = fade_alpha < 5
+    data[fully_transparent, 0] = 0
+    data[fully_transparent, 1] = 0
+    data[fully_transparent, 2] = 0
+    data[fully_transparent, 3] = 0
+    
+    result = Image.fromarray(data.astype(np.uint8))
+    result.save(output_path, 'PNG')
+    print(f"  ✅ Processed: {os.path.basename(output_path)}")
+
+def main():
+    print("🧪 QUICK TEST: Chroma Key on 5 Images")
+    print("=" * 50)
+    
+    # Create output dir
+    os.makedirs(OUTPUT_DIR, exist_ok=True)
+    
+    processed = []
+    
+    for img_path in TEST_IMAGES:
+        if not os.path.exists(img_path):
+            print(f"  ❌ Not found: {img_path}")
+            continue
+        
+        name = os.path.basename(img_path)
+        name_no_ext = os.path.splitext(name)[0]
+        
+        # Copy original
+        orig_dest = os.path.join(OUTPUT_DIR, f"{name_no_ext}_ORIGINAL.png")
+        shutil.copy(img_path, orig_dest)
+        print(f"  📋 Copied original: {name}")
+        
+        # Process and save
+        proc_dest = os.path.join(OUTPUT_DIR, f"{name_no_ext}_PROCESSED.png")
+        chroma_key_process(img_path, proc_dest)
+        
+        processed.append({
+            'name': name_no_ext,
+            'original': orig_dest,
+            'processed': proc_dest
+        })
+    
+    # Generate comparison HTML
+    html = '''<!DOCTYPE html>
+<html>
+<head>
+    <meta charset="UTF-8">
+    <title>🧪 Test Transparency - 5 Sample Images</title>
+    <style>
+        body {
+            background: #1a1a2e;
+            color: white;
+            font-family: Arial, sans-serif;
+            padding: 30px;
+        }
+        h1 {
+            color: #ff4444;
+            text-align: center;
+        }
+        .comparison {
+            display: flex;
+            gap: 40px;
+            margin: 30px 0;
+            padding: 20px;
+            background: rgba(0,0,0,0.3);
+            border-radius: 15px;
+        }
+        .image-box {
+            flex: 1;
+            text-align: center;
+        }
+        .image-box h3 {
+            color: #ff6666;
+            margin-bottom: 15px;
+        }
+        .image-box img {
+            max-width: 300px;
+            max-height: 300px;
+            border: 2px solid #333;
+            border-radius: 10px;
+        }
+        /* Checkerboard background for transparency */
+        .transparent-bg {
+            background: linear-gradient(45deg, #333 25%, transparent 25%),
+                        linear-gradient(-45deg, #333 25%, transparent 25%),
+                        linear-gradient(45deg, transparent 75%, #333 75%),
+                        linear-gradient(-45deg, transparent 75%, #333 75%);
+            background-size: 20px 20px;
+            background-position: 0 0, 0 10px, 10px -10px, -10px 0px;
+            background-color: #555;
+            padding: 20px;
+            border-radius: 10px;
+        }
+        .label {
+            margin-top: 10px;
+            font-size: 0.9em;
+            color: #aaa;
+        }
+        .success { color: #44ff44; }
+        .info { 
+            text-align: center; 
+            color: #888; 
+            margin-bottom: 30px;
+        }
+    </style>
+</head>
+<body>
+    <h1>🧪 Test Transparency - Before & After</h1>
+    <p class="info">Left: Original (white/black background) | Right: Processed (transparent with checkerboard)</p>
+'''
+    
+    for item in processed:
+        html += f'''
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <img src="{item['original']}" alt="Original">
+            <div class="label">{item['name']}_ORIGINAL.png</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ PROCESSED</h3>
+            <div class="transparent-bg">
+                <img src="{item['processed']}" alt="Processed">
+            </div>
+            <div class="label">{item['name']}_PROCESSED.png</div>
+        </div>
+    </div>
+'''
+    
+    html += '''
+    <p class="info" style="margin-top: 40px;">
+        If you see the gray checkerboard pattern behind the processed images, transparency is working! 🎉
+    </p>
+</body>
+</html>
+'''
+    
+    html_path = os.path.join(OUTPUT_DIR, "comparison.html")
+    with open(html_path, 'w') as f:
+        f.write(html)
+    
+    print("\n" + "=" * 50)
+    print(f"✅ DONE! Created comparison page:")
+    print(f"   📂 {OUTPUT_DIR}/")
+    print(f"   🌐 Open: {html_path}")
+    print("=" * 50)
+
+if __name__ == '__main__':
+    main()
diff --git a/test_transparency/comparison.html b/test_transparency/comparison.html
new file mode 100644
index 000000000..def97f51e
--- /dev/null
+++ b/test_transparency/comparison.html
@@ -0,0 +1,147 @@
+<!DOCTYPE html>
+<html>
+<head>
+    <meta charset="UTF-8">
+    <title>🧪 Test Transparency - 5 Sample Images</title>
+    <style>
+        body {
+            background: #1a1a2e;
+            color: white;
+            font-family: Arial, sans-serif;
+            padding: 30px;
+        }
+        h1 {
+            color: #ff4444;
+            text-align: center;
+        }
+        .comparison {
+            display: flex;
+            gap: 40px;
+            margin: 30px 0;
+            padding: 20px;
+            background: rgba(0,0,0,0.3);
+            border-radius: 15px;
+        }
+        .image-box {
+            flex: 1;
+            text-align: center;
+        }
+        .image-box h3 {
+            color: #ff6666;
+            margin-bottom: 15px;
+        }
+        .image-box img {
+            max-width: 300px;
+            max-height: 300px;
+            border: 2px solid #333;
+            border-radius: 10px;
+        }
+        /* Checkerboard background for transparency */
+        .transparent-bg {
+            background: linear-gradient(45deg, #333 25%, transparent 25%),
+                        linear-gradient(-45deg, #333 25%, transparent 25%),
+                        linear-gradient(45deg, transparent 75%, #333 75%),
+                        linear-gradient(-45deg, transparent 75%, #333 75%);
+            background-size: 20px 20px;
+            background-position: 0 0, 0 10px, 10px -10px, -10px 0px;
+            background-color: #555;
+            padding: 20px;
+            border-radius: 10px;
+        }
+        .label {
+            margin-top: 10px;
+            font-size: 0.9em;
+            color: #aaa;
+        }
+        .success { color: #44ff44; }
+        .info { 
+            text-align: center; 
+            color: #888; 
+            margin-bottom: 30px;
+        }
+    </style>
+</head>
+<body>
+    <h1>🧪 Test Transparency - Before & After</h1>
+    <p class="info">Left: Original (white/black background) | Right: Processed (transparent with checkerboard)</p>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <img src="watering_can_ORIGINAL.png" alt="Original">
+            <div class="label">watering_can_ORIGINAL.png</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ PROCESSED</h3>
+            <div class="transparent-bg">
+                <img src="watering_can_PROCESSED.png" alt="Processed">
+            </div>
+            <div class="label">watering_can_PROCESSED.png</div>
+        </div>
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <img src="horse_ORIGINAL.png" alt="Original">
+            <div class="label">horse_ORIGINAL.png</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ PROCESSED</h3>
+            <div class="transparent-bg">
+                <img src="horse_PROCESSED.png" alt="Processed">
+            </div>
+            <div class="label">horse_PROCESSED.png</div>
+        </div>
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <img src="manure_pile_ORIGINAL.png" alt="Original">
+            <div class="label">manure_pile_ORIGINAL.png</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ PROCESSED</h3>
+            <div class="transparent-bg">
+                <img src="manure_pile_PROCESSED.png" alt="Processed">
+            </div>
+            <div class="label">manure_pile_PROCESSED.png</div>
+        </div>
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <img src="pickaxe_ORIGINAL.png" alt="Original">
+            <div class="label">pickaxe_ORIGINAL.png</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ PROCESSED</h3>
+            <div class="transparent-bg">
+                <img src="pickaxe_PROCESSED.png" alt="Processed">
+            </div>
+            <div class="label">pickaxe_PROCESSED.png</div>
+        </div>
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <img src="walk_ORIGINAL.png" alt="Original">
+            <div class="label">walk_ORIGINAL.png</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ PROCESSED</h3>
+            <div class="transparent-bg">
+                <img src="walk_PROCESSED.png" alt="Processed">
+            </div>
+            <div class="label">walk_PROCESSED.png</div>
+        </div>
+    </div>
+
+    <p class="info" style="margin-top: 40px;">
+        If you see the gray checkerboard pattern behind the processed images, transparency is working! 🎉
+    </p>
+</body>
+</html>
diff --git a/test_transparency/comparison_ai.html b/test_transparency/comparison_ai.html
new file mode 100644
index 000000000..dbba82bde
--- /dev/null
+++ b/test_transparency/comparison_ai.html
@@ -0,0 +1,264 @@
+<!DOCTYPE html>
+<html>
+<head>
+    <meta charset="UTF-8">
+    <title>🤖 AI Background Removal Test</title>
+    <style>
+        body {
+            background: #1a1a2e;
+            color: white;
+            font-family: Arial, sans-serif;
+            padding: 30px;
+        }
+        h1 { color: #ff4444; text-align: center; }
+        .ref-note {
+            background: linear-gradient(135deg, #00ff00, #00aa00);
+            color: black;
+            padding: 20px;
+            border-radius: 10px;
+            text-align: center;
+            margin-bottom: 30px;
+            font-weight: bold;
+        }
+        .comparison {
+            display: flex;
+            gap: 30px;
+            margin: 30px 0;
+            padding: 20px;
+            background: rgba(0,0,0,0.3);
+            border-radius: 15px;
+            align-items: center;
+        }
+        .image-box {
+            flex: 1;
+            text-align: center;
+        }
+        .image-box h3 { color: #ff6666; margin-bottom: 15px; }
+        .image-box img {
+            max-width: 250px;
+            max-height: 250px;
+            border-radius: 10px;
+        }
+        .bg-checker {
+            background: linear-gradient(45deg, #333 25%, #555 25%, #555 50%, #333 50%, #333 75%, #555 75%);
+            background-size: 16px 16px;
+            padding: 15px;
+            border-radius: 10px;
+        }
+        .bg-green {
+            background: #00ff00;
+            padding: 15px;
+            border-radius: 10px;
+        }
+        .bg-game {
+            background: linear-gradient(to bottom, #3d6b1f, #234010);
+            padding: 15px;
+            border-radius: 10px;
+        }
+        .bg-red {
+            background: #cc3333;
+            padding: 15px;
+            border-radius: 10px;
+        }
+        .label { margin-top: 8px; font-size: 0.8em; color: #888; }
+        .success { color: #44ff44; }
+    </style>
+</head>
+<body>
+    <h1>🤖 AI Background Removal (rembg)</h1>
+    <div class="ref-note">
+        🎯 Using neural networks to detect subjects and remove backgrounds!
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <div class="bg-checker">
+                <img src="watering_can_ORIGINAL.png" alt="Original">
+            </div>
+            <div class="label">Original</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Checker)</h3>
+            <div class="bg-checker">
+                <img src="watering_can_AI.png" alt="AI">
+            </div>
+            <div class="label">Transparency check</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Green)</h3>
+            <div class="bg-green">
+                <img src="watering_can_AI.png" alt="On Green">
+            </div>
+            <div class="label">Green screen test</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Grass)</h3>
+            <div class="bg-game">
+                <img src="watering_can_AI.png" alt="In Game">
+            </div>
+            <div class="label">In-game preview</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Red)</h3>
+            <div class="bg-red">
+                <img src="watering_can_AI.png" alt="On Red">
+            </div>
+            <div class="label">Contrast test</div>
+        </div>
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <div class="bg-checker">
+                <img src="horse_ORIGINAL.png" alt="Original">
+            </div>
+            <div class="label">Original</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Checker)</h3>
+            <div class="bg-checker">
+                <img src="horse_AI.png" alt="AI">
+            </div>
+            <div class="label">Transparency check</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Green)</h3>
+            <div class="bg-green">
+                <img src="horse_AI.png" alt="On Green">
+            </div>
+            <div class="label">Green screen test</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Grass)</h3>
+            <div class="bg-game">
+                <img src="horse_AI.png" alt="In Game">
+            </div>
+            <div class="label">In-game preview</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Red)</h3>
+            <div class="bg-red">
+                <img src="horse_AI.png" alt="On Red">
+            </div>
+            <div class="label">Contrast test</div>
+        </div>
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <div class="bg-checker">
+                <img src="manure_pile_ORIGINAL.png" alt="Original">
+            </div>
+            <div class="label">Original</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Checker)</h3>
+            <div class="bg-checker">
+                <img src="manure_pile_AI.png" alt="AI">
+            </div>
+            <div class="label">Transparency check</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Green)</h3>
+            <div class="bg-green">
+                <img src="manure_pile_AI.png" alt="On Green">
+            </div>
+            <div class="label">Green screen test</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Grass)</h3>
+            <div class="bg-game">
+                <img src="manure_pile_AI.png" alt="In Game">
+            </div>
+            <div class="label">In-game preview</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Red)</h3>
+            <div class="bg-red">
+                <img src="manure_pile_AI.png" alt="On Red">
+            </div>
+            <div class="label">Contrast test</div>
+        </div>
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <div class="bg-checker">
+                <img src="pickaxe_ORIGINAL.png" alt="Original">
+            </div>
+            <div class="label">Original</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Checker)</h3>
+            <div class="bg-checker">
+                <img src="pickaxe_AI.png" alt="AI">
+            </div>
+            <div class="label">Transparency check</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Green)</h3>
+            <div class="bg-green">
+                <img src="pickaxe_AI.png" alt="On Green">
+            </div>
+            <div class="label">Green screen test</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Grass)</h3>
+            <div class="bg-game">
+                <img src="pickaxe_AI.png" alt="In Game">
+            </div>
+            <div class="label">In-game preview</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Red)</h3>
+            <div class="bg-red">
+                <img src="pickaxe_AI.png" alt="On Red">
+            </div>
+            <div class="label">Contrast test</div>
+        </div>
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <div class="bg-checker">
+                <img src="walk_ORIGINAL.png" alt="Original">
+            </div>
+            <div class="label">Original</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Checker)</h3>
+            <div class="bg-checker">
+                <img src="walk_AI.png" alt="AI">
+            </div>
+            <div class="label">Transparency check</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Green)</h3>
+            <div class="bg-green">
+                <img src="walk_AI.png" alt="On Green">
+            </div>
+            <div class="label">Green screen test</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Grass)</h3>
+            <div class="bg-game">
+                <img src="walk_AI.png" alt="In Game">
+            </div>
+            <div class="label">In-game preview</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">🤖 AI (Red)</h3>
+            <div class="bg-red">
+                <img src="walk_AI.png" alt="On Red">
+            </div>
+            <div class="label">Contrast test</div>
+        </div>
+    </div>
+
+</body>
+</html>
diff --git a/test_transparency/comparison_v2.html b/test_transparency/comparison_v2.html
new file mode 100644
index 000000000..d62566f91
--- /dev/null
+++ b/test_transparency/comparison_v2.html
@@ -0,0 +1,210 @@
+<!DOCTYPE html>
+<html>
+<head>
+    <meta charset="UTF-8">
+    <title>🔥 Aggressive BG Removal Test</title>
+    <style>
+        body {
+            background: #1a1a2e;
+            color: white;
+            font-family: Arial, sans-serif;
+            padding: 30px;
+        }
+        h1 { color: #ff4444; text-align: center; }
+        .ref-note {
+            background: #00ff00;
+            color: black;
+            padding: 20px;
+            border-radius: 10px;
+            text-align: center;
+            margin-bottom: 30px;
+            font-weight: bold;
+        }
+        .comparison {
+            display: flex;
+            gap: 40px;
+            margin: 30px 0;
+            padding: 20px;
+            background: rgba(0,0,0,0.3);
+            border-radius: 15px;
+            align-items: center;
+        }
+        .image-box {
+            flex: 1;
+            text-align: center;
+        }
+        .image-box h3 { color: #ff6666; margin-bottom: 15px; }
+        .image-box img {
+            max-width: 300px;
+            max-height: 300px;
+            border-radius: 10px;
+        }
+        /* Multiple background options to test */
+        .bg-checker {
+            background: linear-gradient(45deg, #444 25%, #666 25%, #666 50%, #444 50%, #444 75%, #666 75%);
+            background-size: 20px 20px;
+            padding: 20px;
+            border-radius: 10px;
+        }
+        .bg-green {
+            background: #00ff00;
+            padding: 20px;
+            border-radius: 10px;
+        }
+        .bg-game {
+            background: linear-gradient(to bottom, #2d5016, #1a3009);
+            padding: 20px;
+            border-radius: 10px;
+        }
+        .label { margin-top: 10px; font-size: 0.85em; color: #aaa; }
+        .success { color: #44ff44; }
+    </style>
+</head>
+<body>
+    <h1>🔥 Aggressive Background Removal Test</h1>
+    <div class="ref-note">
+        🎯 TARGET: Clean edges like the zombie bunny reference (no white shadows!)
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <div class="bg-checker">
+                <img src="watering_can_ORIGINAL.png" alt="Original">
+            </div>
+            <div class="label">watering_can</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ CLEANED (Checker)</h3>
+            <div class="bg-checker">
+                <img src="watering_can_CLEAN.png" alt="Cleaned">
+            </div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ CLEANED (Green)</h3>
+            <div class="bg-green">
+                <img src="watering_can_CLEAN.png" alt="On Green">
+            </div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ CLEANED (Game)</h3>
+            <div class="bg-game">
+                <img src="watering_can_CLEAN.png" alt="In Game">
+            </div>
+        </div>
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <div class="bg-checker">
+                <img src="horse_ORIGINAL.png" alt="Original">
+            </div>
+            <div class="label">horse</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ CLEANED (Checker)</h3>
+            <div class="bg-checker">
+                <img src="horse_CLEAN.png" alt="Cleaned">
+            </div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ CLEANED (Green)</h3>
+            <div class="bg-green">
+                <img src="horse_CLEAN.png" alt="On Green">
+            </div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ CLEANED (Game)</h3>
+            <div class="bg-game">
+                <img src="horse_CLEAN.png" alt="In Game">
+            </div>
+        </div>
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <div class="bg-checker">
+                <img src="manure_pile_ORIGINAL.png" alt="Original">
+            </div>
+            <div class="label">manure_pile</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ CLEANED (Checker)</h3>
+            <div class="bg-checker">
+                <img src="manure_pile_CLEAN.png" alt="Cleaned">
+            </div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ CLEANED (Green)</h3>
+            <div class="bg-green">
+                <img src="manure_pile_CLEAN.png" alt="On Green">
+            </div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ CLEANED (Game)</h3>
+            <div class="bg-game">
+                <img src="manure_pile_CLEAN.png" alt="In Game">
+            </div>
+        </div>
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <div class="bg-checker">
+                <img src="pickaxe_ORIGINAL.png" alt="Original">
+            </div>
+            <div class="label">pickaxe</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ CLEANED (Checker)</h3>
+            <div class="bg-checker">
+                <img src="pickaxe_CLEAN.png" alt="Cleaned">
+            </div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ CLEANED (Green)</h3>
+            <div class="bg-green">
+                <img src="pickaxe_CLEAN.png" alt="On Green">
+            </div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ CLEANED (Game)</h3>
+            <div class="bg-game">
+                <img src="pickaxe_CLEAN.png" alt="In Game">
+            </div>
+        </div>
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <div class="bg-checker">
+                <img src="walk_ORIGINAL.png" alt="Original">
+            </div>
+            <div class="label">walk</div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ CLEANED (Checker)</h3>
+            <div class="bg-checker">
+                <img src="walk_CLEAN.png" alt="Cleaned">
+            </div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ CLEANED (Green)</h3>
+            <div class="bg-green">
+                <img src="walk_CLEAN.png" alt="On Green">
+            </div>
+        </div>
+        <div class="image-box">
+            <h3 class="success">✅ CLEANED (Game)</h3>
+            <div class="bg-game">
+                <img src="walk_CLEAN.png" alt="In Game">
+            </div>
+        </div>
+    </div>
+
+</body>
+</html>
diff --git a/test_transparency/green_screen_test.html b/test_transparency/green_screen_test.html
new file mode 100644
index 000000000..bb8f7ab7d
--- /dev/null
+++ b/test_transparency/green_screen_test.html
@@ -0,0 +1,225 @@
+<!DOCTYPE html>
+<html>
+<head>
+    <meta charset="UTF-8">
+    <title>🟢 Green Screen Test</title>
+    <style>
+        body {
+            background: #1a1a2e;
+            color: white;
+            font-family: Arial, sans-serif;
+            padding: 30px;
+        }
+        h1 { color: #00ff00; text-align: center; text-shadow: 2px 2px #000; }
+        .note {
+            background: #00ff00;
+            color: black;
+            padding: 15px;
+            border-radius: 10px;
+            text-align: center;
+            margin-bottom: 30px;
+            font-weight: bold;
+        }
+        .comparison {
+            display: flex;
+            gap: 20px;
+            margin: 25px 0;
+            padding: 20px;
+            background: rgba(0,0,0,0.4);
+            border-radius: 15px;
+            align-items: center;
+        }
+        .image-box {
+            flex: 1;
+            text-align: center;
+        }
+        .image-box h3 { color: #aaa; margin-bottom: 10px; font-size: 0.9em; }
+        .image-box img {
+            max-width: 200px;
+            max-height: 200px;
+            border-radius: 8px;
+            border: 2px solid #333;
+        }
+        .green-bg {
+            background: #00ff00;
+            padding: 10px;
+            border-radius: 8px;
+        }
+        .checker-bg {
+            background: linear-gradient(45deg, #333 25%, #555 25%, #555 50%, #333 50%, #333 75%, #555 75%);
+            background-size: 16px 16px;
+            padding: 10px;
+            border-radius: 8px;
+        }
+        .grass-bg {
+            background: linear-gradient(to bottom, #4a7c23, #2d4d15);
+            padding: 10px;
+            border-radius: 8px;
+        }
+        .label { font-size: 0.75em; color: #666; margin-top: 5px; }
+        .highlight { color: #00ff00; }
+    </style>
+</head>
+<body>
+    <h1>🟢 GREEN SCREEN WORKFLOW</h1>
+    <div class="note">
+        Workflow: Original → AI Remove BG → Green Screen (#00FF00) → Alpha Transparency
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <div class="checker-bg">
+                <img src="watering_can_ORIGINAL.png" alt="Original">
+            </div>
+            <div class="label">Source file</div>
+        </div>
+        <div class="image-box">
+            <h3 class="highlight">🟢 GREEN SCREEN</h3>
+            <div class="green-bg">
+                <img src="watering_can_GREEN.png" alt="Green">
+            </div>
+            <div class="label">#00FF00 background</div>
+        </div>
+        <div class="image-box">
+            <h3>✅ ALPHA (Checker)</h3>
+            <div class="checker-bg">
+                <img src="watering_can_ALPHA.png" alt="Alpha">
+            </div>
+            <div class="label">Transparent</div>
+        </div>
+        <div class="image-box">
+            <h3>🌿 IN GAME</h3>
+            <div class="grass-bg">
+                <img src="watering_can_ALPHA.png" alt="Game">
+            </div>
+            <div class="label">On grass</div>
+        </div>
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <div class="checker-bg">
+                <img src="horse_ORIGINAL.png" alt="Original">
+            </div>
+            <div class="label">Source file</div>
+        </div>
+        <div class="image-box">
+            <h3 class="highlight">🟢 GREEN SCREEN</h3>
+            <div class="green-bg">
+                <img src="horse_GREEN.png" alt="Green">
+            </div>
+            <div class="label">#00FF00 background</div>
+        </div>
+        <div class="image-box">
+            <h3>✅ ALPHA (Checker)</h3>
+            <div class="checker-bg">
+                <img src="horse_ALPHA.png" alt="Alpha">
+            </div>
+            <div class="label">Transparent</div>
+        </div>
+        <div class="image-box">
+            <h3>🌿 IN GAME</h3>
+            <div class="grass-bg">
+                <img src="horse_ALPHA.png" alt="Game">
+            </div>
+            <div class="label">On grass</div>
+        </div>
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <div class="checker-bg">
+                <img src="manure_pile_ORIGINAL.png" alt="Original">
+            </div>
+            <div class="label">Source file</div>
+        </div>
+        <div class="image-box">
+            <h3 class="highlight">🟢 GREEN SCREEN</h3>
+            <div class="green-bg">
+                <img src="manure_pile_GREEN.png" alt="Green">
+            </div>
+            <div class="label">#00FF00 background</div>
+        </div>
+        <div class="image-box">
+            <h3>✅ ALPHA (Checker)</h3>
+            <div class="checker-bg">
+                <img src="manure_pile_ALPHA.png" alt="Alpha">
+            </div>
+            <div class="label">Transparent</div>
+        </div>
+        <div class="image-box">
+            <h3>🌿 IN GAME</h3>
+            <div class="grass-bg">
+                <img src="manure_pile_ALPHA.png" alt="Game">
+            </div>
+            <div class="label">On grass</div>
+        </div>
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <div class="checker-bg">
+                <img src="pickaxe_ORIGINAL.png" alt="Original">
+            </div>
+            <div class="label">Source file</div>
+        </div>
+        <div class="image-box">
+            <h3 class="highlight">🟢 GREEN SCREEN</h3>
+            <div class="green-bg">
+                <img src="pickaxe_GREEN.png" alt="Green">
+            </div>
+            <div class="label">#00FF00 background</div>
+        </div>
+        <div class="image-box">
+            <h3>✅ ALPHA (Checker)</h3>
+            <div class="checker-bg">
+                <img src="pickaxe_ALPHA.png" alt="Alpha">
+            </div>
+            <div class="label">Transparent</div>
+        </div>
+        <div class="image-box">
+            <h3>🌿 IN GAME</h3>
+            <div class="grass-bg">
+                <img src="pickaxe_ALPHA.png" alt="Game">
+            </div>
+            <div class="label">On grass</div>
+        </div>
+    </div>
+
+    <div class="comparison">
+        <div class="image-box">
+            <h3>📷 ORIGINAL</h3>
+            <div class="checker-bg">
+                <img src="walk_ORIGINAL.png" alt="Original">
+            </div>
+            <div class="label">Source file</div>
+        </div>
+        <div class="image-box">
+            <h3 class="highlight">🟢 GREEN SCREEN</h3>
+            <div class="green-bg">
+                <img src="walk_GREEN.png" alt="Green">
+            </div>
+            <div class="label">#00FF00 background</div>
+        </div>
+        <div class="image-box">
+            <h3>✅ ALPHA (Checker)</h3>
+            <div class="checker-bg">
+                <img src="walk_ALPHA.png" alt="Alpha">
+            </div>
+            <div class="label">Transparent</div>
+        </div>
+        <div class="image-box">
+            <h3>🌿 IN GAME</h3>
+            <div class="grass-bg">
+                <img src="walk_ALPHA.png" alt="Game">
+            </div>
+            <div class="label">On grass</div>
+        </div>
+    </div>
+
+</body>
+</html>
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