Update pipeline_stable_diffusion_3_ipa.py

pipeline_stable_diffusion_3_ipa.py

@@ -1215,14 +1215,14 @@ class StableDiffusion3Pipeline(DiffusionPipeline, SD3LoraLoaderMixin, FromSingle
         print('shape 2: ', average_image_embed.shape)
         average_image_embedf = torch.mean(stacked_image_embeds, dim=1).unsqueeze(0)  # Add batch dimension after averaging
         print('shape 2a: ', average_image_embedf.shape)
+        average_image_embede = torch.mean(stacked_image_embeds, dim=1)  # Add batch dimension after averaging
+        print('shape 2b: ', average_image_embede.shape)
         # 3. Create a tensor of zeros with the same shape as the averaged embedding
         zeros_tensor = torch.zeros_like(average_image_embed)
-        zeros_tensora = torch.zeros_like(average_image_embed).unsqueeze(0) 
         print('shape 3: ', zeros_tensor.shape)
-        print('shape 3a: ', zeros_tensora.shape)
         # 4. Concatenate the zeros and the average embedding
         clip_image_embeds = torch.cat([zeros_tensor, average_image_embed], dim=0)
-        clip_image_embeds2 = torch.cat([zeros_tensora, average_image_embedf], dim=0)
+        clip_image_embeds2 = torch.cat([zeros_tensor, average_image_embede], dim=0)
         print('shape 4: ', clip_image_embeds.shape)
         print('shape 4a: ', clip_image_embeds2.shape)
         '''