diff --git a/source/shapes/png_shape.cpp b/source/shapes/png_shape.cpp
index cc29ed7..db029f8 100644
--- a/source/shapes/png_shape.cpp
+++ b/source/shapes/png_shape.cpp
@@ -101,26 +101,65 @@ void PNGShape::generatePoints(int num_points, float screen_width, float screen_h
     // Generar puntos según el enfoque configurado
     generateExtrudedPoints();
 
-    // Calcular cuántos puntos 3D se necesitan
+    // Calcular cuántos puntos 2D se necesitan
     size_t num_2d_points = PNG_USE_EDGES_ONLY ? edge_points_.size() : filled_points_.size();
     size_t total_3d_points = num_2d_points * num_layers_;
 
-    // ADAPTACIÓN AUTOMÁTICA: Si hay muy pocas pelotas, cambiar a bordes
-    if (!PNG_USE_EDGES_ONLY && num_points < static_cast<int>(total_3d_points) / 2) {
-        std::cout << "[PNG_SHAPE] Advertencia: Solo " << num_points << " pelotas para "
-                  << total_3d_points << " puntos (relleno).\n";
-        std::cout << "[PNG_SHAPE] Cambiando automáticamente a BORDES para mejor visualización.\n";
+    // === ADAPTACIÓN AUTOMÁTICA MULTINIVEL ===
 
-        // Regenerar solo con bordes
+    // Nivel 1: Si relleno completo y pocas pelotas → switch a bordes
+    if (!PNG_USE_EDGES_ONLY && num_points < static_cast<int>(total_3d_points) / 2) {
+        std::cout << "[PNG_SHAPE] Paso 1: Cambiando de RELLENO a BORDES (pelotas insuficientes)\n";
         detectEdges();
         num_2d_points = edge_points_.size();
         total_3d_points = num_2d_points * num_layers_;
     }
 
+    // Nivel 2: Reducir capas de extrusión si aún hay pocas pelotas
+    while (num_layers_ > 1 && num_points < static_cast<int>(total_3d_points) / 2) {
+        num_layers_ = std::max(1, num_layers_ / 2);  // Dividir capas a la mitad
+        total_3d_points = num_2d_points * num_layers_;
+        std::cout << "[PNG_SHAPE] Paso 2: Reduciendo capas a " << num_layers_
+                  << " (total puntos: " << total_3d_points << ")\n";
+    }
+
+    // Nivel 3: Sampling de píxeles (tomar cada N píxeles) si aún insuficiente
+    int sampling_step = 1;
+    std::vector<Point2D>* points_to_sample = (!edge_points_.empty()) ? &edge_points_ : &filled_points_;
+
+    while (sampling_step < 10 && num_points < static_cast<int>(total_3d_points) / 2) {
+        sampling_step++;
+
+        // Aplicar sampling (tomar cada N puntos)
+        std::vector<Point2D> sampled_points;
+        for (size_t i = 0; i < points_to_sample->size(); i += sampling_step) {
+            sampled_points.push_back((*points_to_sample)[i]);
+        }
+
+        if (!sampled_points.empty()) {
+            *points_to_sample = sampled_points;
+            num_2d_points = points_to_sample->size();
+            total_3d_points = num_2d_points * num_layers_;
+            std::cout << "[PNG_SHAPE] Paso 3: Aplicando sampling 1/" << sampling_step
+                      << " (puntos: " << num_2d_points << ")\n";
+        }
+    }
+
     // Debug: mostrar configuración final
-    std::cout << "[PNG_SHAPE] Modo: " << (PNG_USE_EDGES_ONLY ? "BORDES" : "RELLENO") << "\n";
-    std::cout << "[PNG_SHAPE] Detectados " << num_2d_points << " puntos 2D × "
-              << num_layers_ << " capas = " << total_3d_points << " puntos 3D totales\n";
+    std::cout << "[PNG_SHAPE] === CONFIGURACIÓN FINAL ===\n";
+    std::string mode_str = (!edge_points_.empty()) ? "BORDES" : (PNG_USE_EDGES_ONLY ? "BORDES" : "RELLENO");
+    std::cout << "[PNG_SHAPE] Modo: " << mode_str;
+    if (sampling_step > 1) {
+        std::cout << " (optimizado)";
+    }
+    std::cout << "\n";
+    std::cout << "[PNG_SHAPE] Píxeles 2D: " << num_2d_points;
+    if (sampling_step > 1) {
+        std::cout << " (sampling 1/" << sampling_step << ")";
+    }
+    std::cout << "\n";
+    std::cout << "[PNG_SHAPE] Capas: " << num_layers_ << "\n";
+    std::cout << "[PNG_SHAPE] Total puntos 3D: " << total_3d_points << "\n";
     std::cout << "[PNG_SHAPE] Pelotas disponibles: " << num_points << "\n";
     std::cout << "[PNG_SHAPE] Ratio: " << (float)num_points / (float)total_3d_points << " pelotas/punto\n";