chore: resolve conflicts in z_image_working_memory test

Author: lstein

tests/app/invocations/test_z_image_working_memory.py

@@ -46,11 +46,7 @@ def test_z_image_latents_to_image_requests_working_memory(self, vae_type):
         mock_latents = torch.zeros(1, 16, 64, 64)
         mock_context.tensors.load.return_value = mock_latents
 
-        # Mock the appropriate estimation function
-        if vae_type == FluxAutoEncoder:
-            estimation_path = "invokeai.app.invocations.z_image_latents_to_image.estimate_vae_working_memory_flux"
-        else:
-            estimation_path = "invokeai.app.invocations.z_image_latents_to_image.estimate_vae_working_memory_sd3"
+        estimation_path = "invokeai.app.invocations.z_image_latents_to_image.estimate_vae_working_memory_flux"
 
         with patch(estimation_path) as mock_estimate:
             expected_memory = 1024 * 1024 * 500  # 500MB