diff --git a/modules/prompt_parser_diffusers.py b/modules/prompt_parser_diffusers.py
index 1b356d7e9..2025a4ca6 100644
--- a/modules/prompt_parser_diffusers.py
+++ b/modules/prompt_parser_diffusers.py
@@ -327,7 +327,9 @@ def compel_hijack(self, token_ids: torch.Tensor, attention_mask: torch.Tensor |
     else:
         hidden_state = text_encoder_output.hidden_states[-clip_skip]
     if normalized:
-        hidden_state = self.text_encoder.text_model.final_layer_norm(hidden_state)
+        # transformers >=5.6 flattened CLIPTextModel; CLIPTextModelWithProjection still nests it under .text_model
+        text_model = getattr(self.text_encoder, 'text_model', self.text_encoder)
+        hidden_state = text_model.final_layer_norm(hidden_state)
     return hidden_state
 
 
diff --git a/modules/prompt_parser_xhinker.py b/modules/prompt_parser_xhinker.py
index 344f0778c..1eeefe88d 100644
--- a/modules/prompt_parser_xhinker.py
+++ b/modules/prompt_parser_xhinker.py
@@ -216,9 +216,11 @@ def get_weighted_text_embeddings_sd15(
             , generator = torch.Generator(text2img_pipe.device).manual_seed(2)
         ).images[0]
     """
-    original_clip_layers = pipe.text_encoder.text_model.encoder.layers
+    # transformers >=5.6 flattened CLIPTextModel; CLIPTextModelWithProjection still nests it under .text_model
+    clip_text_model = getattr(pipe.text_encoder, 'text_model', pipe.text_encoder)
+    original_clip_layers = clip_text_model.encoder.layers
     if clip_skip > 0:
-        pipe.text_encoder.text_model.encoder.layers = original_clip_layers[:-clip_skip]
+        clip_text_model.encoder.layers = original_clip_layers[:-clip_skip]
 
     eos = pipe.tokenizer.eos_token_id
     prompt_tokens, prompt_weights = get_prompts_tokens_with_weights(
@@ -310,7 +312,7 @@ def get_weighted_text_embeddings_sd15(
 
     # recover clip layers
     if clip_skip > 0:
-        pipe.text_encoder.text_model.encoder.layers = original_clip_layers
+        clip_text_model.encoder.layers = original_clip_layers
 
     return prompt_embeds, neg_prompt_embeds