diff --git a/library/train_util.py b/library/train_util.py
index b9d08f253..33af29f2c 100644
--- a/library/train_util.py
+++ b/library/train_util.py
@@ -66,7 +66,12 @@
 from library.original_unet import UNet2DConditionModel
 from huggingface_hub import hf_hub_download
 import numpy as np
+import sys
 from PIL import Image
+try:
+    from PIL import ImageCms
+except:
+    print( "ImageCms not available. Images will not be converted to sRGB. Colours may be handled incorrectly." )
 import imagesize
 import cv2
 import safetensors.torch
@@ -2490,10 +2495,36 @@ def load_arbitrary_dataset(args, tokenizer) -> MinimalDataset:
 def load_image(image_path, alpha=False):
     try:
         with Image.open(image_path) as image:
+            if getattr(image, "is_animated", False):
+                logger.warning( f"{image_path} is animated" )
+            
+            # Convert image to sRGB
+            if "PIL.ImageCms" in sys.modules:
+                icc = image.info.get('icc_profile', '')
+                if icc:
+                    try:
+                        src_profile = ImageCms.ImageCmsProfile( BytesIO(icc) )
+                        srgb_profile = ImageCms.createProfile("sRGB")
+                        ImageCms.profileToProfile(image, src_profile, srgb_profile, inPlace=True)
+                        image.info["icc_profile"] = ImageCms.ImageCmsProfile(srgb_profile).tobytes()
+                    except Exception as e:
+                        logger.warning( f"Could not convert {image_path} to sRGB: {src_profile.profile.model} {src_profile.profile.profile_description}\n{e}" )
+            
             if alpha:
                 if not image.mode == "RGBA":
                     image = image.convert("RGBA")
             else:
+                if image.mode == "P":
+                    # Palette images with alpha are easier to handle as RGBA.
+                    image = image.convert('RGBA')
+                
+                if "A" in  image.getbands():
+                    # Replace transparency with white background.
+                    alpha_layer = image.convert('RGBA').split()[-1]
+                    bg = Image.new("RGBA", image.size, (255, 255, 255, 255) )
+                    bg.paste( image, mask=alpha_layer )
+                    image = bg.convert('RGB')
+                    
                 if not image.mode == "RGB":
                     image = image.convert("RGB")
             img = np.array(image, np.uint8)