don't rename key for text encoders so that pytree matches original.

src/maxdiffusion/models/modeling_flax_pytorch_utils.py

@@ -137,7 +137,11 @@ def create_flax_params_from_pytorch_state(
   # Need to change some parameters name to match Flax names
   for pt_key, pt_tensor in pt_state_dict.items():
     network_alpha_value = get_network_alpha_value(pt_key, network_alphas)
-    renamed_pt_key = rename_key(pt_key)
+
+    # only rename the unet keys, text encoders are already correct.
+    if "unet" in pt_key:
+      renamed_pt_key = rename_key(pt_key)
+
     pt_tuple_key = tuple(renamed_pt_key.split("."))
     # conv
     if pt_tuple_key[-1] == "weight" and pt_tensor.ndim == 4: