Update pipeline_stable_diffusion_3_ipa.py

pipeline_stable_diffusion_3_ipa.py

@@ -1185,9 +1185,9 @@ class StableDiffusion3Pipeline(DiffusionPipeline, SD3LoraLoaderMixin, FromSingle
         # experimental way
         #clip_image_embeds = torch.cat([torch.zeros_like(torch.stack(image_prompt_embeds_list)), torch.stack(image_prompt_embeds_list)], dim=0).mean(dim=0)
         # FAILS clip_image_embeds = torch.cat(torch.stack(image_prompt_embeds_list), dim=0).mean(dim=0)
-        clip_image_embeds = torch.cat(image_prompt_embeds_list, dim=0).mean(dim=0)
-        #clip_image_embeds = torch.mean(torch.stack(image_prompt_embeds_list), dim=0)
-
+        # FAILS TIMESTEPS clip_image_embeds = torch.cat(image_prompt_embeds_list, dim=0).mean(dim=0)
+        clip_image_embeds = torch.mean(torch.stack(image_prompt_embeds_list), dim=0)
+        #clip_image_embeds = torch.cat([torch.stack(image_prompt_embeds_list)], dim=0).mean(dim=0)
         
         # 4. Prepare timesteps
         timesteps, num_inference_steps = retrieve_timesteps(self.scheduler, num_inference_steps, device, timesteps)