diff --git a/invokeai/backend/model_management/convert_ckpt_to_diffusers.py b/invokeai/backend/model_management/convert_ckpt_to_diffusers.py
index d6d61ee71d..b371fc96e8 100644
--- a/invokeai/backend/model_management/convert_ckpt_to_diffusers.py
+++ b/invokeai/backend/model_management/convert_ckpt_to_diffusers.py
@@ -422,11 +422,8 @@ def convert_ldm_unet_checkpoint(
             )
             for key in keys:
                 if key.startswith("model.diffusion_model"):
-                    for delimiter in ['','.']:
-                        flat_ema_key = "model_ema." + delimiter.join(key.split(".")[1:])
-                        if checkpoint.get(flat_ema_key) is not None:
-                            unet_state_dict[key.replace(unet_key, "")] = checkpoint.pop(flat_ema_key)
-                            break
+                    flat_ema_key = "model_ema." + "".join(key.split(".")[2:])
+                    unet_state_dict[key.replace(unet_key, "")] = checkpoint.pop(flat_ema_key)
         else:
             if sum(k.startswith("model_ema") for k in keys) > 100:
                 logger.warning(
@@ -1114,7 +1111,6 @@ def convert_controlnet_checkpoint(
     return controlnet.to(precision)
 
 
-# TO DO - PASS PRECISION
 def download_from_original_stable_diffusion_ckpt(
     checkpoint_path: str,
     model_version: BaseModelType,
@@ -1288,6 +1284,9 @@ def download_from_original_stable_diffusion_ckpt(
         original_config_file = BytesIO(requests.get(config_url).content)
 
     original_config = OmegaConf.load(original_config_file)
+    if original_config['model']['params'].get('use_ema') is not None:
+        extract_ema = original_config['model']['params']['use_ema']
+    
     if (
         model_version == BaseModelType.StableDiffusion2
         and original_config["model"]["params"].get("parameterization") == "v"