diff --git a/scripts/convert_ldm_original_checkpoint_to_diffusers.py b/scripts/convert_ldm_original_checkpoint_to_diffusers.py
index 52865792..f547e96f 100644
--- a/scripts/convert_ldm_original_checkpoint_to_diffusers.py
+++ b/scripts/convert_ldm_original_checkpoint_to_diffusers.py
@@ -112,9 +112,9 @@ def assign_to_checkpoint(
             continue
 
         # Global renaming happens here
-        new_path = new_path.replace("middle_block.0", "mid.resnets.0")
-        new_path = new_path.replace("middle_block.1", "mid.attentions.0")
-        new_path = new_path.replace("middle_block.2", "mid.resnets.1")
+        new_path = new_path.replace("middle_block.0", "mid_block.resnets.0")
+        new_path = new_path.replace("middle_block.1", "mid_block.attentions.0")
+        new_path = new_path.replace("middle_block.2", "mid_block.resnets.1")
 
         if additional_replacements is not None:
             for replacement in additional_replacements:
@@ -175,15 +175,16 @@ def convert_ldm_checkpoint(checkpoint, config):
         attentions = [key for key in input_blocks[i] if f"input_blocks.{i}.1" in key]
 
         if f"input_blocks.{i}.0.op.weight" in checkpoint:
-            new_checkpoint[f"downsample_blocks.{block_id}.downsamplers.0.conv.weight"] = checkpoint[
+            new_checkpoint[f"down_blocks.{block_id}.downsamplers.0.conv.weight"] = checkpoint[
                 f"input_blocks.{i}.0.op.weight"
             ]
-            new_checkpoint[f"downsample_blocks.{block_id}.downsamplers.0.conv.bias"] = checkpoint[
+            new_checkpoint[f"down_blocks.{block_id}.downsamplers.0.conv.bias"] = checkpoint[
                 f"input_blocks.{i}.0.op.bias"
             ]
+            continue
 
         paths = renew_resnet_paths(resnets)
-        meta_path = {"old": f"input_blocks.{i}.0", "new": f"downsample_blocks.{block_id}.resnets.{layer_in_block_id}"}
+        meta_path = {"old": f"input_blocks.{i}.0", "new": f"down_blocks.{block_id}.resnets.{layer_in_block_id}"}
         resnet_op = {"old": "resnets.2.op", "new": "downsamplers.0.op"}
         assign_to_checkpoint(
             paths, new_checkpoint, checkpoint, additional_replacements=[meta_path, resnet_op], config=config
@@ -193,18 +194,18 @@ def convert_ldm_checkpoint(checkpoint, config):
             paths = renew_attention_paths(attentions)
             meta_path = {
                 "old": f"input_blocks.{i}.1",
-                "new": f"downsample_blocks.{block_id}.attentions.{layer_in_block_id}",
+                "new": f"down_blocks.{block_id}.attentions.{layer_in_block_id}",
             }
             to_split = {
                 f"input_blocks.{i}.1.qkv.bias": {
-                    "key": f"downsample_blocks.{block_id}.attentions.{layer_in_block_id}.key.bias",
-                    "query": f"downsample_blocks.{block_id}.attentions.{layer_in_block_id}.query.bias",
-                    "value": f"downsample_blocks.{block_id}.attentions.{layer_in_block_id}.value.bias",
+                    "key": f"down_blocks.{block_id}.attentions.{layer_in_block_id}.key.bias",
+                    "query": f"down_blocks.{block_id}.attentions.{layer_in_block_id}.query.bias",
+                    "value": f"down_blocks.{block_id}.attentions.{layer_in_block_id}.value.bias",
                 },
                 f"input_blocks.{i}.1.qkv.weight": {
-                    "key": f"downsample_blocks.{block_id}.attentions.{layer_in_block_id}.key.weight",
-                    "query": f"downsample_blocks.{block_id}.attentions.{layer_in_block_id}.query.weight",
-                    "value": f"downsample_blocks.{block_id}.attentions.{layer_in_block_id}.value.weight",
+                    "key": f"down_blocks.{block_id}.attentions.{layer_in_block_id}.key.weight",
+                    "query": f"down_blocks.{block_id}.attentions.{layer_in_block_id}.query.weight",
+                    "value": f"down_blocks.{block_id}.attentions.{layer_in_block_id}.value.weight",
                 },
             }
             assign_to_checkpoint(