fix(pipelines): restore clip-skip text encoding for transformers 5.6+

The vendored encode_prompt copies in the PAG, APG, ControlNet-XS and differential
diffusion pipelines dereference the .text_model wrapper that transformers 5.6
removed from CLIPTextModel, so their clip-skip path crashes on SD1.5 and SDXL TE1.
Apply the same getattr(te, 'text_model', te) fix as the core parser.

Mirrors upstream diffusers, which still carries this deref in pipeline
encode_prompt; only the single-file loader was fixed there.

modules/apg/pipeline_stable_diffusion_apg.py

@@ -404,7 +404,8 @@ class StableDiffusionPipelineAPG(
                 # representations. The `last_hidden_states` that we typically use for
                 # obtaining the final prompt representations passes through the LayerNorm
                 # layer.
-                prompt_embeds = self.text_encoder.text_model.final_layer_norm(prompt_embeds)
+                # transformers >=5.6 flattened CLIPTextModel; CLIPTextModelWithProjection still nests it under .text_model
+                prompt_embeds = getattr(self.text_encoder, 'text_model', self.text_encoder).final_layer_norm(prompt_embeds)
 
         if self.text_encoder is not None:
             prompt_embeds_dtype = self.text_encoder.dtype

modules/control/units/xs_pipe.py

@@ -1321,7 +1321,8 @@ class StableDiffusionControlNetXSPipeline(
                 # representations. The `last_hidden_states` that we typically use for
                 # obtaining the final prompt representations passes through the LayerNorm
                 # layer.
-                prompt_embeds = self.text_encoder.text_model.final_layer_norm(prompt_embeds)
+                # transformers >=5.6 flattened CLIPTextModel; CLIPTextModelWithProjection still nests it under .text_model
+                prompt_embeds = getattr(self.text_encoder, 'text_model', self.text_encoder).final_layer_norm(prompt_embeds)
 
         if self.text_encoder is not None:
             prompt_embeds_dtype = self.text_encoder.dtype

modules/pag/pipe_sd.py

@@ -619,7 +619,8 @@ class StableDiffusionPAGPipeline(
                 # representations. The `last_hidden_states` that we typically use for
                 # obtaining the final prompt representations passes through the LayerNorm
                 # layer.
-                prompt_embeds = self.text_encoder.text_model.final_layer_norm(prompt_embeds)
+                # transformers >=5.6 flattened CLIPTextModel; CLIPTextModelWithProjection still nests it under .text_model
+                prompt_embeds = getattr(self.text_encoder, 'text_model', self.text_encoder).final_layer_norm(prompt_embeds)
 
         if self.text_encoder is not None:
             prompt_embeds_dtype = self.text_encoder.dtype

scripts/differential_diffusion.py

@@ -1546,7 +1546,8 @@ class StableDiffusionDiffImg2ImgPipeline(DiffusionPipeline):
                 # representations. The `last_hidden_states` that we typically use for
                 # obtaining the final prompt representations passes through the LayerNorm
                 # layer.
-                prompt_embeds = self.text_encoder.text_model.final_layer_norm(prompt_embeds)
+                # transformers >=5.6 flattened CLIPTextModel; CLIPTextModelWithProjection still nests it under .text_model
+                prompt_embeds = getattr(self.text_encoder, 'text_model', self.text_encoder).final_layer_norm(prompt_embeds)
 
         if self.text_encoder is not None:
             prompt_embeds_dtype = self.text_encoder.dtype