Update pipeline_stable_diffusion_3_ipa.py

pipeline_stable_diffusion_3_ipa.py

@@ -1205,11 +1205,11 @@ class StableDiffusion3Pipeline(DiffusionPipeline, SD3LoraLoaderMixin, FromSingle
         # FAILS clip_image_embeds = torch.cat(torch.stack(image_prompt_embeds_list), dim=0).mean(dim=0)
         # FAILS TIMESTEPS clip_image_embeds = torch.cat(image_prompt_embeds_list, dim=0).mean(dim=0)
 
-        clip_image_embedsl = self.encode_clip_image_emb(clip_image, device, dtype)
-        print('old method shape: ', clip_image_embedsl.shape)
         # 1. Stack the image embeddings
         stacked_image_embeds = torch.stack(image_prompt_embeds_list)
+        stacked_image_embedsg = torch.cat(image_prompt_embeds_list, dim=1)
         print('shape 1: ', stacked_image_embeds.shape)
+        print('shape 1a: ', stacked_image_embedsg.shape)
         # 2. Calculate the mean of the stacked embeddings
         average_image_embed = torch.mean(stacked_image_embeds, dim=0) #.unsqueeze(0)  # Add batch dimension after averaging
         print('shape 2: ', average_image_embed.shape)