Update pipeline_stable_diffusion_3_ipa.py

pipeline_stable_diffusion_3_ipa.py

@@ -1229,8 +1229,9 @@ class StableDiffusion3Pipeline(DiffusionPipeline, SD3LoraLoaderMixin, FromSingle
         # 4. Concatenate the zeros and the average embedding
         clip_image_embeds = torch.cat([zeros_tensor, average_image_embed], dim=0)
         print('shape 4: ', clip_image_embeds.shape)
-        print('shape 4a: ', clip_image_embeds2.shape)
         clip_image_embeds2 = torch.cat([zeros_tensor, average_image_embede], dim=0)
+        print('shape 4a: ', clip_image_embeds2.shape)
+
         '''
         #clip_image_embeds = clip_image_embeds.unsqueeze(0) # Add a dimension at the beginning so now you have [1, 2*seq_len_img, embed_dim_img]
         print('shape 5: ', clip_image_embeds.shape)