diff --git a/comfy/diffusers_convert.py b/comfy/diffusers_convert.py
index a31c1c11..950137f2 100644
--- a/comfy/diffusers_convert.py
+++ b/comfy/diffusers_convert.py
@@ -272,7 +272,8 @@ def load_diffusers(model_path, fp16=True, output_vae=True, output_clip=True, emb
 
     # magic
     v2 = diffusers_unet_conf["sample_size"] == 96
-    v_pred = diffusers_scheduler_conf['prediction_type'] == 'v_prediction'
+    if 'prediction_type' in diffusers_scheduler_conf:
+        v_pred = diffusers_scheduler_conf['prediction_type'] == 'v_prediction'
 
     if v2:
         if v_pred:
@@ -290,6 +291,7 @@ def load_diffusers(model_path, fp16=True, output_vae=True, output_clip=True, emb
     scale_factor = model_config_params['scale_factor']
     vae_config = model_config_params['first_stage_config']
     vae_config['scale_factor'] = scale_factor
+    model_config_params["unet_config"]["params"]["use_fp16"] = fp16
 
     unet_path = osp.join(model_path, "unet", "diffusion_pytorch_model.safetensors")
     vae_path = osp.join(model_path, "vae", "diffusion_pytorch_model.safetensors")
diff --git a/nodes.py b/nodes.py
index 274ae2f1..025e4fcb 100644
--- a/nodes.py
+++ b/nodes.py
@@ -231,7 +231,7 @@ class DiffusersLoader:
     RETURN_TYPES = ("MODEL", "CLIP", "VAE")
     FUNCTION = "load_checkpoint"
 
-    CATEGORY = "loaders"
+    CATEGORY = "advanced/loaders"
 
     def load_checkpoint(self, model_path, output_vae=True, output_clip=True):
         for search_path in folder_paths.get_folder_paths("diffusers"):
@@ -240,7 +240,7 @@ class DiffusersLoader:
                 if model_path in paths:
                     model_path = os.path.join(search_path, model_path)
                     break
-        search_paths = folder_paths.get_folder_paths("diffusers")
+
         return load_diffusers(model_path, fp16=model_management.should_use_fp16(), output_vae=output_vae, output_clip=output_clip, embedding_directory=folder_paths.get_folder_paths("embeddings"))