From 9003a7dcc1b0d1b7a7fb2e9b688dcf4df59ae78a Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Sun, 5 Jul 2026 00:37:38 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 studio/backend/core/inference/video.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/studio/backend/core/inference/video.py b/studio/backend/core/inference/video.py
index 3d44e71a16..281ebb9b8b 100644
--- a/studio/backend/core/inference/video.py
+++ b/studio/backend/core/inference/video.py
@@ -314,7 +314,6 @@ class VideoBackend:
             root = Path(repo_id).expanduser()
             if root.is_dir():
                 from .diffusion_families import resolve_local_gguf_child
-
                 try:
                     resolve_local_gguf_child(root, gguf_filename or "")
                 except Exception as exc:  # noqa: BLE001 -- surface as client input error
@@ -632,7 +631,9 @@ class VideoBackend:
                     logger.info(
                         "video.transformer_quant: %s fits resident (%d MiB steady); "
                         "dropping the bf16 plan's '%s' offload",
-                        scheme_preview, quant_mib, plan.offload_policy,
+                        scheme_preview,
+                        quant_mib,
+                        plan.offload_policy,
                     )
                     plan = replanned
                     quant_replanned = True
@@ -802,7 +803,6 @@ class VideoBackend:
             # model/sequential offload hook every top-level module, so only group needs
             # this. Applied through the view so the helper streams transformer_2.
             from .diffusion_memory import _apply_group_offload
-
             for view in views[1:]:
                 if not _apply_group_offload(view, device, logger):
                     logger.warning(