From f28be14639e37db890050d479d9a511ce0a40704 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Thu, 2 Jul 2026 01:07:36 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 studio/backend/core/training/diffusion_lora_trainer.py | 9 ++++++---
 studio/backend/tests/test_diffusion_lora_trainer.py    | 4 +---
 2 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/studio/backend/core/training/diffusion_lora_trainer.py b/studio/backend/core/training/diffusion_lora_trainer.py
index fba01d0b14..70f7c8aedf 100644
--- a/studio/backend/core/training/diffusion_lora_trainer.py
+++ b/studio/backend/core/training/diffusion_lora_trainer.py
@@ -282,7 +282,6 @@ def _assert_trusted_base_model(base_model: str) -> None:
     BEFORE ``from_pretrained`` so an untrusted remote repo (which could ship pickle weights)
     is never fetched or deserialised."""
     from core.inference.diffusion import _is_trusted_diffusion_repo
-
     if not _is_trusted_diffusion_repo(base_model):
         raise ValueError(
             f"Refusing to train from untrusted base model '{base_model}'. Use a local path or "
@@ -351,8 +350,12 @@ def run_diffusion_lora_training(
     if _check_stop():
         out_dir = Path(cfg.output_dir).expanduser()
         _emit(
-            on_event, "complete",
-            output_dir = str(out_dir), lora_path = None, stopped = True, steps_run = 0,
+            on_event,
+            "complete",
+            output_dir = str(out_dir),
+            lora_path = None,
+            stopped = True,
+            steps_run = 0,
         )
         return str(out_dir)
 
diff --git a/studio/backend/tests/test_diffusion_lora_trainer.py b/studio/backend/tests/test_diffusion_lora_trainer.py
index d35e1b3f1a..2f83eee1d3 100644
--- a/studio/backend/tests/test_diffusion_lora_trainer.py
+++ b/studio/backend/tests/test_diffusion_lora_trainer.py
@@ -123,9 +123,7 @@ def test_config_from_dict_ignores_unknown_and_tuples_targets():
 def test_config_rejects_zero_lora_alpha():
     # An explicit zero alpha would scale the adapter to nothing; reject it.
     with pytest.raises(ValueError, match = "lora_alpha"):
-        DiffusionLoraConfig(
-            base_model = "b", data_dir = "d", output_dir = "o", lora_alpha = 0
-        ).normalized()
+        DiffusionLoraConfig(base_model = "b", data_dir = "d", output_dir = "o", lora_alpha = 0).normalized()
 
 
 def test_config_coerces_string_learning_rate():