feat: SD 1.x向けScheduler対応を5種類に整理

generation.schedulerの正式対応値をdpmpp_2m_karras、dpmpp_2m_sde_karras、euler_a、ddim、lcmに限定し、既定値をdpmpp_2m_karrasへ変更する。旧dpmpp_2m、eulerおよび未知値は起動時の設定validationで拒否する。

Scheduler生成処理をPipelineFactoryへ集約する。DPM++ 2M系はDPMSolverMultistepSchedulerを共用し、algorithm_type、solver_order=2、use_karras_sigmas=Trueで通常版とSDE版を切り替える。Euler Ancestral、DDIM、LCMは現在のpipeline scheduler configを引き継いで構築する。

LCM-LoRAは既存のmodel.lora設定から通常のLoRAとして読み込み、LCM選択時にもstepsとcfg_scaleを自動調整せずTOML値をそのまま使用する。MCP Tool schemaにはscheduler入力を追加しない。

Specifications.md、Design.md、config.mdおよびconfig.example.tomlのenum、既定値、対応表、設定例を新仕様へ統一する。5 schedulerの変換、DPM++ constructor option、旧値と未知値の拒否、省略時の既定値、MCP schema非公開をテストで検証する。

検証: ruff check、ruff format --check、pyright、pytest（39 passed）、インストール済みDiffusersで5 schedulerの実インスタンス構築を確認。

3 files changed, 66 insertions, 6 deletions

diff --git a/tests/test_config.py b/tests/test_config.py
index 5e4341a..c24064b 100644
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -76,6 +76,8 @@ def test_loads_and_resolves_all_model_paths(tmp_path: Path) -> None:
     [
         ('checkpoint = "../base.safetensors"', "file name"),
         ("steps = 0", "steps"),
+        ('scheduler = "dpmpp_2m"', "scheduler"),
+        ('scheduler = "euler"', "scheduler"),
         ('scheduler = "unknown"', "scheduler"),
         ('default_size = "1024"', "default_size"),
         ('preprocessor = "zoe"', "preprocessor"),
@@ -120,3 +122,4 @@ def test_can_skip_path_checks_for_schema_only_use(tmp_path: Path) -> None:
     )
     config = load_config(path, validate_paths=False)
     assert config.model.root == (tmp_path / "missing").resolve()
+    assert config.generation.scheduler == "dpmpp_2m_karras"
diff --git a/tests/test_pipeline_factory.py b/tests/test_pipeline_factory.py
index 454a5b1..408133b 100644
--- a/tests/test_pipeline_factory.py
+++ b/tests/test_pipeline_factory.py
@@ -34,8 +34,24 @@ class FakePipeline:
 
 class FakeScheduler:
     @classmethod
-    def from_config(cls, config: dict[str, object]) -> object:
-        return {"scheduler": cls.__name__, **config}
+    def from_config(cls, config: dict[str, object], **kwargs: object) -> object:
+        return SimpleNamespace(implementation=cls.__name__, config=config, options=kwargs)
+
+
+class FakeDPMSolverMultistepScheduler(FakeScheduler):
+    pass
+
+
+class FakeDDIMScheduler(FakeScheduler):
+    pass
+
+
+class FakeEulerAncestralDiscreteScheduler(FakeScheduler):
+    pass
+
+
+class FakeLCMScheduler(FakeScheduler):
+    pass
 
 
 def fake_diffusers(pipeline: FakePipeline, external_vae: object) -> SimpleNamespace:
@@ -54,10 +70,10 @@ def fake_diffusers(pipeline: FakePipeline, external_vae: object) -> SimpleNamesp
     return SimpleNamespace(
         StableDiffusionPipeline=StableDiffusionPipeline,
         AutoencoderKL=AutoencoderKL,
-        DPMSolverMultistepScheduler=FakeScheduler,
-        DDIMScheduler=FakeScheduler,
-        EulerDiscreteScheduler=FakeScheduler,
-        EulerAncestralDiscreteScheduler=FakeScheduler,
+        DPMSolverMultistepScheduler=FakeDPMSolverMultistepScheduler,
+        DDIMScheduler=FakeDDIMScheduler,
+        EulerAncestralDiscreteScheduler=FakeEulerAncestralDiscreteScheduler,
+        LCMScheduler=FakeLCMScheduler,
     )
 
 
@@ -97,3 +113,43 @@ def test_checkpoint_without_vae_fails_pipeline_initialization(app_config, monkey
 
     with pytest.raises(ConfigError, match="does not provide a VAE"):
         factory.create_base()
+
+
+@pytest.mark.parametrize(
+    ("name", "implementation", "options"),
+    [
+        (
+            "dpmpp_2m_karras",
+            "FakeDPMSolverMultistepScheduler",
+            {
+                "algorithm_type": "dpmsolver++",
+                "solver_order": 2,
+                "use_karras_sigmas": True,
+            },
+        ),
+        (
+            "dpmpp_2m_sde_karras",
+            "FakeDPMSolverMultistepScheduler",
+            {
+                "algorithm_type": "sde-dpmsolver++",
+                "solver_order": 2,
+                "use_karras_sigmas": True,
+            },
+        ),
+        ("euler_a", "FakeEulerAncestralDiscreteScheduler", {}),
+        ("ddim", "FakeDDIMScheduler", {}),
+        ("lcm", "FakeLCMScheduler", {}),
+    ],
+)
+def test_scheduler_mapping(app_config, name, implementation, options) -> None:
+    generation = replace(app_config.generation, scheduler=name)
+    factory = PipelineFactory(replace(app_config, generation=generation))
+    current_config = {"beta_start": 0.00085, "beta_end": 0.012}
+    current = SimpleNamespace(config=current_config)
+    diffusers = fake_diffusers(FakePipeline(), object())
+
+    result = factory._create_scheduler(current, diffusers)
+
+    assert result.implementation == implementation
+    assert result.config is current_config
+    assert result.options == options
diff --git a/tests/test_server.py b/tests/test_server.py
index 4590049..a6c6af5 100644
--- a/tests/test_server.py
+++ b/tests/test_server.py
@@ -25,6 +25,7 @@ async def test_exposes_exactly_three_tools_with_closed_enums(app_config) -> None
         "openpose_full",
     ]
     assert "width" not in guided.input_schema["properties"]
+    assert all("scheduler" not in tool.input_schema["properties"] for tool in tools)
 
 
 async def test_mcp_call_returns_png_image_content(app_config) -> None: