class_token first instead

library/train_util.py

@@ -1775,7 +1775,7 @@ class DreamBoothDataset(BaseDataset):
                         else:
                             final_caption = cap_for_img
                             if subset.class_tokens:
-                                final_caption += f" {subset.class_tokens}"  # Concatenate class token to the caption
+                                final_caption = f"{subset.class_tokens} {final_caption}"  # Prepend class token to the caption
 
                         captions.append(final_caption)
 

nodes.py

@@ -105,7 +105,7 @@ class TrainDatasetAdd:
             "height": ("INT",{"min": 64, "default": 1024, "tooltip": "image height when bucketing is not used, also the default validation sampling height"}),
             "batch_size": ("INT",{"min": 1, "default": 2, "tooltip": "Higher batch size uses more memory and generalizes the training more. "}),
             "dataset_path": ("STRING",{"multiline": True, "default": "", "tooltip": "path to dataset, root is ComfyUI folder"}),
-            "class_tokens": ("STRING",{"multiline": True, "default": "", "tooltip": "aka trigger word, if specified, will be added to the end of each caption, if no captions exist, will be used on it's own"}),
+            "class_tokens": ("STRING",{"multiline": True, "default": "", "tooltip": "aka trigger word, if specified, will be added to the start of each caption, if no captions exist, will be used on it's own"}),
             "enable_bucket": ("BOOLEAN",{"default": True, "tooltip": "enable buckets for multi aspect ratio training"}),
             "bucket_no_upscale": ("BOOLEAN",{"default": False, "tooltip": "bucket reso is defined by image size automatically"}),
             "num_repeats": ("INT", {"default": 1, "min": 1, "tooltip": "number of times to repeat dataset for an epoch"}),