diff --git a/studio/backend/core/inference/diffusion_auto_policy.py b/studio/backend/core/inference/diffusion_auto_policy.py
index 77df14464c..254ccbafc5 100644
--- a/studio/backend/core/inference/diffusion_auto_policy.py
+++ b/studio/backend/core/inference/diffusion_auto_policy.py
@@ -189,6 +189,7 @@ def resolve_dense_quant_candidate(
     prequant_available = False
     try:
         from .diffusion_prequant import local_prequant_path_ready, resolve_prequant_source
+
         src = resolve_prequant_source(fam, scheme, path_override = prequant_path)
         # A request-supplied local path override is only usable if the loader will accept it
         # (allowlisted AND present); otherwise load_prequantized_transformer refuses it and
diff --git a/studio/backend/core/inference/diffusion_cache.py b/studio/backend/core/inference/diffusion_cache.py
index 05c781a30f..ad5eb50127 100644
--- a/studio/backend/core/inference/diffusion_cache.py
+++ b/studio/backend/core/inference/diffusion_cache.py
@@ -125,7 +125,9 @@ def apply_step_cache(
     # reuse the CacheMixin FluxTransformer2DModel yet their __call__ opens no cache_context,
     # so engaging FBCache there would crash every default generation -- run uncached instead.
     if not _pipeline_opens_cache_context(pipe):
-        _warn(logger, mode, RuntimeError("pipeline __call__ opens no cache_context; running uncached"))
+        _warn(
+            logger, mode, RuntimeError("pipeline __call__ opens no cache_context; running uncached")
+        )
         return None
     try:
         try: