From d927bf155c2bd8d04fd948e1f3a900bae9873724 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Sat, 4 Jul 2026 01:06:42 +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/sd_cpp_backend.py |  5 ++++-
 studio/backend/tests/test_sd_cpp_backend.py     | 14 +++++++++++---
 2 files changed, 15 insertions(+), 4 deletions(-)

diff --git a/studio/backend/core/inference/sd_cpp_backend.py b/studio/backend/core/inference/sd_cpp_backend.py
index 7632551661..d8cb21d409 100644
--- a/studio/backend/core/inference/sd_cpp_backend.py
+++ b/studio/backend/core/inference/sd_cpp_backend.py
@@ -893,7 +893,10 @@ class SdCppDiffusionBackend:
                 lora_stage = Path(server_lora_dir) / f"gen_{os.urandom(6).hex()}"
                 materialized = diffusion_lora.materialize_native_dir(lora_resolved, lora_stage)
                 lora_payload = [
-                    {"path": f"{lora_stage.name}/{Path(m.path).name}", "multiplier": float(m.weight)}
+                    {
+                        "path": f"{lora_stage.name}/{Path(m.path).name}",
+                        "multiplier": float(m.weight),
+                    }
                     for m in materialized
                 ]
         try:
diff --git a/studio/backend/tests/test_sd_cpp_backend.py b/studio/backend/tests/test_sd_cpp_backend.py
index 0b52ea6e14..be2fc22a4b 100644
--- a/studio/backend/tests/test_sd_cpp_backend.py
+++ b/studio/backend/tests/test_sd_cpp_backend.py
@@ -691,7 +691,11 @@ def _fake_materialize(resolved, dest):
     return out
 
 
-def _patch_lora(monkeypatch, resolved, supported = True):
+def _patch_lora(
+    monkeypatch,
+    resolved,
+    supported = True,
+):
     from core.inference import diffusion_lora as dl
 
     monkeypatch.setattr(dl, "supports_lora", lambda **k: supported)
@@ -706,7 +710,9 @@ def test_generate_oneshot_applies_loras_via_prompt_tags(monkeypatch):
 
     eng = _FakeEngine()
     b = _loaded_backend(engine = eng)  # mode = "oneshot"
-    _patch_lora(monkeypatch, [dl.ResolvedLora("id1", "myalias", "/x/a.safetensors", "safetensors", 0.8)])
+    _patch_lora(
+        monkeypatch, [dl.ResolvedLora("id1", "myalias", "/x/a.safetensors", "safetensors", 0.8)]
+    )
     b.generate(prompt = "a fox", steps = 4, seed = 1, loras = [("id1", 0.8)])
     _, params, _, _ = eng.calls[0]
     assert params.lora_dir is not None and params.lora_apply_mode == "auto"
@@ -725,7 +731,9 @@ def test_generate_server_stages_loras_and_sends_structured_field(monkeypatch, tm
     servers: list = []
     _run_server_load(monkeypatch, b, servers)
     servers[0].lora_dir = str(tmp_path)
-    _patch_lora(monkeypatch, [dl.ResolvedLora("id1", "myalias", "/x/a.safetensors", "safetensors", 0.7)])
+    _patch_lora(
+        monkeypatch, [dl.ResolvedLora("id1", "myalias", "/x/a.safetensors", "safetensors", 0.7)]
+    )
     b.generate(prompt = "x", steps = 4, seed = 1, batch_size = 1, loras = [("id1", 0.7)])
     payload = servers[0].payloads[0]
     assert "lora" in payload and len(payload["lora"]) == 1