diff --git a/core/imagelib/__init__.py b/core/imagelib/__init__.py
index 6049cb8..11234a5 100644
--- a/core/imagelib/__init__.py
+++ b/core/imagelib/__init__.py
@@ -21,6 +21,7 @@ from .SegIEPolys import *
 from .blursharpen import LinearMotionBlur, blursharpen
 
 from .filters import apply_random_rgb_levels, \
+                     apply_random_overlay_triangle, \
                      apply_random_hsv_shift, \
                      apply_random_sharpen, \
                      apply_random_motion_blur, \
diff --git a/core/imagelib/filters.py b/core/imagelib/filters.py
index 149b510..6b69576 100644
--- a/core/imagelib/filters.py
+++ b/core/imagelib/filters.py
@@ -128,7 +128,29 @@ def apply_random_jpeg_compress( img, chance, mask=None, rnd_state=None ):
 
     return result
     
+def apply_random_overlay_triangle( img, max_alpha, mask=None, rnd_state=None ):
+    if rnd_state is None:
+        rnd_state = np.random
 
+    h,w,c = img.shape
+    pt1 = [rnd_state.randint(w), rnd_state.randint(h) ]
+    pt2 = [rnd_state.randint(w), rnd_state.randint(h) ]
+    pt3 = [rnd_state.randint(w), rnd_state.randint(h) ]
+    
+    alpha = rnd_state.uniform()*max_alpha
+    
+    tri_mask = cv2.fillPoly( np.zeros_like(img), [ np.array([pt1,pt2,pt3], np.int32) ], (alpha,)*c )
+    
+    if rnd_state.randint(2) == 0:
+        result = np.clip(img+tri_mask, 0, 1)
+    else:
+        result = np.clip(img-tri_mask, 0, 1)
+    
+    if mask is not None:
+        result = img*(1-mask) + result*mask
+
+    return result
+    
 def _min_resize(x, m):
     if x.shape[0] < x.shape[1]:
         s0 = m
diff --git a/samplelib/SampleGeneratorFaceXSeg.py b/samplelib/SampleGeneratorFaceXSeg.py
index 6eb29cf..c5fbc47 100644
--- a/samplelib/SampleGeneratorFaceXSeg.py
+++ b/samplelib/SampleGeneratorFaceXSeg.py
@@ -138,11 +138,9 @@ class SampleGeneratorFaceXSeg(SampleGeneratorBase):
                             bg_img = imagelib.apply_random_hsv_shift(bg_img)
                         else:
                             bg_img = imagelib.apply_random_rgb_levels(bg_img)
-                            
-                        
 
                         c_mask = 1.0 - (1-bg_mask) * (1-mask)
-                        rnd = np.random.uniform()
+                        rnd = 0.15 + np.random.uniform()*0.85
                         img = img*(c_mask) + img*(1-c_mask)*rnd + bg_img*(1-c_mask)*(1-rnd)
 
                     warp_params = imagelib.gen_warp_params(resolution, random_flip, rotation_range=rotation_range, scale_range=scale_range, tx_range=tx_range, ty_range=ty_range )
@@ -153,15 +151,13 @@ class SampleGeneratorFaceXSeg(SampleGeneratorBase):
                     mask[mask < 0.5] = 0.0
                     mask[mask >= 0.5] = 1.0
                     mask = np.clip(mask, 0, 1)
-            
-                    #if np.random.randint(4) < 3:
-                    #    img = imagelib.apply_random_relight(img)
 
+                    img = imagelib.apply_random_overlay_triangle(img, max_alpha=0.25, mask=sd.random_circle_faded ([resolution,resolution]))
+                    
                     if np.random.randint(2) == 0:
                         img = imagelib.apply_random_hsv_shift(img, mask=sd.random_circle_faded ([resolution,resolution]))
                     else:
                         img = imagelib.apply_random_rgb_levels(img, mask=sd.random_circle_faded ([resolution,resolution]))
-                        
                     
                     if np.random.randint(2) == 0:
                         # random face flare