diff --git a/comfy/ldm/chroma_radiance/model.py b/comfy/ldm/chroma_radiance/model.py
index c077396cb..70d173889 100644
--- a/comfy/ldm/chroma_radiance/model.py
+++ b/comfy/ldm/chroma_radiance/model.py
@@ -284,7 +284,7 @@ class ChromaRadiance(Chroma):
         # non zero during training to prevent 0 div
         eps = 0.0
         return (noisy - predicted) / (timesteps.view(-1,1,1,1) + eps)
-    
+
     def _forward(
         self,
         x: Tensor,
diff --git a/comfy/model_detection.py b/comfy/model_detection.py
index 13fa1fa5e..19e6aa954 100644
--- a/comfy/model_detection.py
+++ b/comfy/model_detection.py
@@ -257,7 +257,7 @@ def detect_unet_config(state_dict, key_prefix, metadata=None):
                 dit_config["nerf_tile_size"] = 512
                 dit_config["nerf_final_head_type"] = "conv" if f"{key_prefix}nerf_final_layer_conv.norm.scale" in state_dict_keys else "linear"
                 dit_config["nerf_embedder_dtype"] = torch.float32
-            if f"__x0__" in state_dict_keys: # x0 pred
+            if "__x0__" in state_dict_keys: # x0 pred
                 dit_config["use_x0"] = True
         else:
             dit_config["guidance_embed"] = "{}guidance_in.in_layer.weight".format(key_prefix) in state_dict_keys