Update pipeline_stable_diffusion_3_ipa.py

pipeline_stable_diffusion_3_ipa.py

@@ -1175,15 +1175,7 @@ class StableDiffusion3Pipeline(DiffusionPipeline, SD3LoraLoaderMixin, FromSingle
             image_prompt_embeds_list.append(image_prompt_embeds_5)
             
         # Concatenate the image embeddings
-        concatenated_embeds = torch.cat(image_prompt_embeds_list, dim=1)  # Concatenate along dimension 1
-        embedding_dim = concatenated_embeds.shape[-1]  # Get the embedding dimension
-
-        total_embedding_dim = concatenated_embeds.shape
-        linear_layer = nn.Linear(embedding_dim * len(image_prompt_embeds_list), embedding_dim * len(image_prompt_embeds_list), dtype=self.dtype).to(self.device)
-        clip_image_embeds = linear_layer(concatenated_embeds)
-
-        # Add a ReLU activation for non-linearity (optional)
-        #combined_embeds = torch.relu(combined_embeds)
+        clip_image_embeds = torch.mean(torch.stack(image_prompt_embeds_list), dim=0)
 
         # 4. Prepare timesteps
         timesteps, num_inference_steps = retrieve_timesteps(self.scheduler, num_inference_steps, device, timesteps)