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authortanaka takashi <isazaka@gmail.com>2026-09-12 23:36:33 +0900
committertanaka takashi <isazaka@gmail.com>2026-09-12 23:36:33 +0900
commitde44625e3baae4d43ad096248b7096578b11e0b0 (patch)
treec0c0b1756fb71f6c3f8958c3b13f86756e61390d
parent49d672ef4f605fddddc4040b650aed76cbf27b2a (diff)
sd_embed導入による長文プロンプト・重み付きプロンプト対応v0.1.0
SD1.5の77 token制限を回避するため、sd_embedを用いたprompt_embedsベースの 入力方式に変更した。あわせてclip_skipとpad_last_blockの設定を追加した。 sd_embedのget_weighted_text_embeddings_sd15()でpositive/negativeの プロンプト埋め込みを同時生成し、pipeline呼び出し時にprompt_embeds/ negative_prompt_embedsを渡す。prompt/negative_promptは同時に渡さない。 LoRAロード後にembedding生成を行うため、text encoder LoRAが反映された 状態で埋め込みが作られる。 sd_embedはcommit hash 4a47f71150で固定し、VCS dependencyとして追加。 hatchlingのallow-direct-referencesを有効化。 変更内容: - pyproject.toml: sd-embed @ git+...@4a47f71150追加、 allow-direct-references=true - config.py: GenerationConfigにclip_skip=0, pad_last_block=False追加、 load_configで[generation]のclip_skip/pad_last_block読込・validation (clip_skip: 0-12のinteger, pad_last_block: boolean) - model_manager.py: 3つのpipeline呼び出しをprompt/negative_promptから prompt_embeds/negative_prompt_embedsに変更、_embed_prompts()メソッド追加 - tests/test_config.py: clip_skip/pad_last_blockの正常系・異常系テスト追加 - doc/config.md: [generation]セクションにclip_skip/pad_last_block説明追記、 設定項目一覧表更新 - config.example.toml: clip_skip/pad_last_blockコメント例追記 - doc/Design.md: GenerationConfigにclip_skip/pad_last_block追記 - README.md: sd_embedの説明追記 - uv.lock: sd_embedおよび依存パッケージ追加 検証: - ruff format/check、pyright 0 errors、pytest 67 passed - 実GPU・実モデルで確認: - 短いプロンプト: 生成成功 - 77 token超の長文プロンプト(122 token): 生成成功 - 重み付きプロンプト(word:1.5)((word)): 生成成功 - LoRA(pixelartV3) + sd_embed + 重み付き: 生成成功 - negative promptの重み付き埋め込み: 生成成功
Diffstat
-rw-r--r--README.md4
-rw-r--r--config.example.toml2
-rw-r--r--doc/Design.md2
-rw-r--r--doc/config.md20
-rw-r--r--pyproject.toml4
-rw-r--r--src/mcp_sd15/config.py14
-rw-r--r--src/mcp_sd15/model_manager.py34
-rw-r--r--tests/test_config.py46
-rw-r--r--uv.lock487
9 files changed, 606 insertions, 7 deletions
diff --git a/README.md b/README.md
index 9b08798..50f98ec 100644
--- a/README.md
+++ b/README.md
@@ -3,6 +3,10 @@
ローカルの NVIDIA GPU と Stable Diffusion 1.x 互換 checkpoint を使う、stdio MCP
サーバです。Text-to-Image、Depth/Openpose 誘導生成、ControlNet Inpaint を公開します。
+プロンプトは `sd_embed` を用いた `prompt_embeds` ベースで処理され、77 token制限を超える
+長文プロンプトとAUTOMATIC1111互換の重み付き記法`(word:1.5)`に対応します。`clip_skip`と
+`pad_last_block`は`[generation]`で指定できます。
+
## セットアップ
1. NVIDIA driverがCUDA 13.2対応PyTorchを実行できることを`nvidia-smi`で確認します。
diff --git a/config.example.toml b/config.example.toml
index aa8766b..e5c9498 100644
--- a/config.example.toml
+++ b/config.example.toml
@@ -12,6 +12,8 @@ steps = 25
cfg_scale = 7.0
scheduler = "dpmpp_2m_karras"
default_size = "square_512"
+# clip_skip = 0
+# pad_last_block = false
[controlnet.depth]
enabled = true
diff --git a/doc/Design.md b/doc/Design.md
index 89f77aa..b5e433b 100644
--- a/doc/Design.md
+++ b/doc/Design.md
@@ -146,6 +146,8 @@ class GenerationConfig:
cfg_scale: float
scheduler: str
default_size: str
+ clip_skip: int = 0
+ pad_last_block: bool = False
@dataclass(frozen=True)
class PromptConfig:
diff --git a/doc/config.md b/doc/config.md
index 6ea0f9a..69dd3d6 100644
--- a/doc/config.md
+++ b/doc/config.md
@@ -50,6 +50,8 @@ uv run generate-image-sd15-mcp --config C:\path\to\config.toml
| `generation.cfg_scale` | number | No | `7.0` |
| `generation.scheduler` | string enum | No | `dpmpp_2m_karras` |
| `generation.default_size` | string enum | No | `square_512` |
+| `generation.clip_skip` | integer | No | `0` |
+| `generation.pad_last_block` | boolean | No | `false` |
| `controlnet.depth.enabled` | boolean | No | `false` |
| `controlnet.depth.model` | string | 有効時 | なし |
| `controlnet.depth.preprocessor` | string | No | `midas` |
@@ -135,6 +137,8 @@ steps = 25
cfg_scale = 7.0
scheduler = "dpmpp_2m_karras"
default_size = "square_512"
+clip_skip = 0
+pad_last_block = false
```
### `steps`
@@ -194,6 +198,22 @@ MCPツールで`size`を省略した場合に使用するサイズIDである。
| `landscape_512` | 512 x 384 |
| `portrait_512` | 384 x 512 |
+### `clip_skip`
+
+`sd_embed`によるプロンプト埋め込み生成時にCLIPの最終層から何層スキップするかを指定する。
+
+- integerのみ。範囲は`0`以上`12`以下
+- `0`のとき最終層を使用（既定値）
+- `1`のとき最後から2番目の層を使用
+- `sd_embed`の`get_weighted_text_embeddings_sd15`の`clip_skip`引数に渡される
+
+### `pad_last_block`
+
+`sd_embed`によるプロンプト埋め込み生成時に最終ブロックをパディングするかを指定する。
+
+- boolean。既定値`false`
+- `true`のとき77 token単位の最終ブロックをパディングして埋め込みを生成する
+
## 7. `[controlnet.*]`
ControlNetは用途ごとに個別設定する。各tableを省略するとその機能は無効になる。
diff --git a/pyproject.toml b/pyproject.toml
index 431ce00..6b965a8 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -18,6 +18,7 @@ dependencies = [
"peft>=0.13",
"pillow>=10.4",
"safetensors>=0.4",
+ "sd-embed @ git+https://github.com/xhinker/sd_embed.git@4a47f71150a22942fa606fb741a1c971d95ba56f",
"torch==2.14.0+cu132",
"torchvision==0.29.0+cu132",
"transformers>=4.45,<5",
@@ -46,6 +47,9 @@ explicit = true
[tool.hatch.build.targets.wheel]
packages = ["src/mcp_sd15"]
+[tool.hatch.metadata]
+allow-direct-references = true
+
[tool.pytest.ini_options]
addopts = "-ra"
testpaths = ["tests"]
diff --git a/src/mcp_sd15/config.py b/src/mcp_sd15/config.py
index e41bdfd..39f31c9 100644
--- a/src/mcp_sd15/config.py
+++ b/src/mcp_sd15/config.py
@@ -44,6 +44,8 @@ class GenerationConfig:
cfg_scale: float = 7.0
scheduler: str = "dpmpp_2m_karras"
default_size: str = "square_512"
+ clip_skip: int = 0
+ pad_last_block: bool = False
@dataclass(frozen=True)
@@ -218,6 +220,14 @@ def load_config(path: str | Path, *, validate_paths: bool = True) -> AppConfig:
default_size = _string(generation_raw, "default_size") or "square_512"
if default_size not in VALID_SIZES:
raise ConfigError(f"unsupported default_size: {default_size}")
+ clip_skip_value = generation_raw.get("clip_skip", 0)
+ if (
+ isinstance(clip_skip_value, bool)
+ or not isinstance(clip_skip_value, int)
+ or not 0 <= clip_skip_value <= 12
+ ):
+ raise ConfigError("generation.clip_skip must be an integer between 0 and 12")
+ pad_last_block = _bool(generation_raw, "pad_last_block", False)
control_raw = _table(raw, "controlnet")
controlnet = ControlNetConfig(
@@ -258,7 +268,9 @@ def load_config(path: str | Path, *, validate_paths: bool = True) -> AppConfig:
config = AppConfig(
model=ModelConfig(root, checkpoint, vae, tuple(loras)),
- generation=GenerationConfig(steps_value, cfg_scale, scheduler, default_size),
+ generation=GenerationConfig(
+ steps_value, cfg_scale, scheduler, default_size, clip_skip_value, pad_last_block
+ ),
controlnet=controlnet,
output=OutputConfig(output_dir.resolve(), _bool(output_raw, "enabled", False)),
server=ServerConfig(transport, host, port_value),
diff --git a/src/mcp_sd15/model_manager.py b/src/mcp_sd15/model_manager.py
index c2bd166..e87a813 100644
--- a/src/mcp_sd15/model_manager.py
+++ b/src/mcp_sd15/model_manager.py
@@ -31,9 +31,12 @@ class ModelManager:
def text_to_image(self, request: TextToImageRequest, seed: int) -> Image.Image:
width, height = request.size.dimensions
+ prompt_embeds, negative_prompt_embeds = self._embed_prompts(
+ request.positive_prompt, request.negative_prompt
+ )
result = self.base(
- prompt=request.positive_prompt,
- negative_prompt=request.negative_prompt,
+ prompt_embeds=prompt_embeds,
+ negative_prompt_embeds=negative_prompt_embeds,
width=width,
height=height,
num_inference_steps=self.config.generation.steps,
@@ -53,9 +56,12 @@ class ModelManager:
else:
control_image = self._openpose(image, full=request.control_mode == "openpose_full")
pipeline = self._pipeline_for(str(request.control_mode), inpaint=False)
+ prompt_embeds, negative_prompt_embeds = self._embed_prompts(
+ request.positive_prompt, request.negative_prompt
+ )
result = pipeline(
- prompt=request.positive_prompt,
- negative_prompt=request.negative_prompt,
+ prompt_embeds=prompt_embeds,
+ negative_prompt_embeds=negative_prompt_embeds,
image=control_image,
width=width,
height=height,
@@ -78,9 +84,12 @@ class ModelManager:
mask = mask.resize((width, height), Image.Resampling.NEAREST)
control_image = self._inpaint_condition(image, mask)
pipeline = self._pipeline_for("inpaint", inpaint=True)
+ prompt_embeds, negative_prompt_embeds = self._embed_prompts(
+ request.positive_prompt, request.negative_prompt
+ )
result = pipeline(
- prompt=request.positive_prompt,
- negative_prompt=request.negative_prompt,
+ prompt_embeds=prompt_embeds,
+ negative_prompt_embeds=negative_prompt_embeds,
image=image,
mask_image=mask,
control_image=control_image,
@@ -140,3 +149,16 @@ class ModelManager:
if not images or len(images) != 1 or not isinstance(images[0], Image.Image):
raise GenerationError("Diffusers did not return exactly one image")
return images[0]
+
+ def _embed_prompts(self, positive: str, negative: str) -> tuple[Any, Any]:
+ """Generate prompt embeds via sd_embed to bypass the 77-token limit."""
+ from sd_embed.embedding_funcs import get_weighted_text_embeddings_sd15
+
+ prompt_embeds, neg_prompt_embeds = get_weighted_text_embeddings_sd15(
+ self.base,
+ prompt=positive,
+ neg_prompt=negative or "",
+ pad_last_block=self.config.generation.pad_last_block,
+ clip_skip=self.config.generation.clip_skip,
+ )
+ return prompt_embeds, neg_prompt_embeds
diff --git a/tests/test_config.py b/tests/test_config.py
index b0dfac0..5d339f8 100644
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -269,3 +269,49 @@ def test_prompt_accepts_only_positive(tmp_path: Path) -> None:
config = load_config(path)
assert config.prompt.positive == "masterpiece"
assert config.prompt.negative == ""
+
+
+def test_generation_defaults_clip_skip_and_pad_last_block(tmp_path: Path) -> None:
+ path = tmp_path / "config.toml"
+ path.write_text(
+ f'[model]\nroot = "{tmp_path.as_posix()}"\ncheckpoint = "base.safetensors"\n',
+ encoding="utf-8",
+ )
+ config = load_config(path, validate_paths=False)
+ assert config.generation.clip_skip == 0
+ assert config.generation.pad_last_block is False
+
+
+def test_generation_reads_clip_skip_and_pad_last_block(tmp_path: Path) -> None:
+ path = tmp_path / "config.toml"
+ path.write_text(
+ f'[model]\nroot = "{tmp_path.as_posix()}"\ncheckpoint = "base.safetensors"\n'
+ "[generation]\nclip_skip = 2\npad_last_block = true\n",
+ encoding="utf-8",
+ )
+ config = load_config(path, validate_paths=False)
+ assert config.generation.clip_skip == 2
+ assert config.generation.pad_last_block is True
+
+
+@pytest.mark.parametrize(
+ "clip_skip, message",
+ [
+ (-1, "clip_skip"),
+ (13, "clip_skip"),
+ (2.5, "clip_skip"),
+ (True, "clip_skip"),
+ ],
+)
+def test_rejects_invalid_clip_skip(
+ tmp_path: Path, clip_skip: float | int | bool, message: str
+) -> None:
+ path = tmp_path / "config.toml"
+ literal = "true" if isinstance(clip_skip, bool) else str(clip_skip)
+ path.write_text(
+ f'[model]\nroot = "{tmp_path.as_posix()}"\ncheckpoint = "base.safetensors"\n'
+ f"[generation]\nclip_skip = {literal}\n",
+ encoding="utf-8",
+ )
+ with pytest.raises(ConfigError, match=message):
+ load_config(path, validate_paths=False)
diff --git a/uv.lock b/uv.lock
index 2ea9ed2..566b1ce 100644
--- a/uv.lock
+++ b/uv.lock
@@ -43,6 +43,24 @@ wheels = [
]
[[package]]
+name = "appnope"
+version = "1.0.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/11/f7/a82489c2b6ebe32d3e2831895ae19c77861f0eadf3bb16034484d965dbb2/appnope-1.0.0.tar.gz", hash = "sha256:685db59cb6043c3c2e528adc0b3bce3a5f8d09bcf7492c6ea650d1b7421f3c49", size = 5454, upload-time = "2026-08-20T21:36:13.748Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/46/c7/6b687cb0f83d2a51017d47953f2ee430ffad6fec2a8ebc964e0718a33eb1/appnope-1.0.0-py3-none-any.whl", hash = "sha256:6fe0c04218aab65c54c4ff81638cdbf848d89f5653b74d68638a137f200dd16e", size = 4158, upload-time = "2026-08-20T21:36:12.444Z" },
+]
+
+[[package]]
+name = "asttokens"
+version = "3.0.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/25/1e/faf0f247f6f881b98fc4d6d07e14085cb89d13665084e6d6ac1dc2c03d0b/asttokens-3.0.2.tar.gz", hash = "sha256:3ecdbd8f2cc195f53ccada3a613538bb5f9ef6f6869129f13e03c30a677b8fe2", size = 63136, upload-time = "2026-07-12T03:31:49.084Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/d4/2b/04b8a15f3a1c77bc79ddf5c73875327f34b4fa75982df2b76e45e402d364/asttokens-3.0.2-py3-none-any.whl", hash = "sha256:9da13157f5b28becde0bd374fc677dcd3c290614264eff096f167c469cd9f933", size = 28702, upload-time = "2026-07-12T03:31:47.542Z" },
+]
+
+[[package]]
name = "attrs"
version = "26.1.0"
source = { registry = "https://pypi.org/simple" }
@@ -144,6 +162,15 @@ wheels = [
]
[[package]]
+name = "comm"
+version = "0.2.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/4c/13/7d740c5849255756bc17888787313b61fd38a0a8304fc4f073dfc46122aa/comm-0.2.3.tar.gz", hash = "sha256:2dc8048c10962d55d7ad693be1e7045d891b7ce8d999c97963a5e3e99c055971", size = 6319, upload-time = "2025-07-25T14:02:04.452Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/60/97/891a0971e1e4a8c5d2b20bbe0e524dc04548d2307fee33cdeba148fd4fc7/comm-0.2.3-py3-none-any.whl", hash = "sha256:c615d91d75f7f04f095b30d1c1711babd43bdc6419c1be9886a85f2f4e489417", size = 7294, upload-time = "2025-07-25T14:02:02.896Z" },
+]
+
+[[package]]
name = "controlnet-aux"
version = "0.0.10"
source = { registry = "https://pypi.org/simple" }
@@ -279,6 +306,19 @@ nvtx = [
]
[[package]]
+name = "debugpy"
+version = "1.8.21"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f2/aa/12037145b7a56eaa5b29b41872f7a21b538e807e13f32c4d3c46e59be084/debugpy-1.8.21.tar.gz", hash = "sha256:a3c53278e84c94e11bd87c53970ec391d1a67396c8b22609fcac576520e611a6", size = 1697577, upload-time = "2026-06-01T19:30:35.156Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/89/fb/cbf306d6e07a313a91e7171a98669054502840931432c227cfd505ee367f/debugpy-1.8.21-cp311-cp311-macosx_15_0_universal2.whl", hash = "sha256:da456226c7b4c69e35dbe35dcee6623d912000a77816db7856a41af1c72a0264", size = 2203120, upload-time = "2026-06-01T19:30:43.964Z" },
+ { url = "https://files.pythonhosted.org/packages/aa/57/aa739bd4ad2cbf96aeb1b20b56918ddd5ae4c28b68709bfcd327f02123ee/debugpy-1.8.21-cp311-cp311-manylinux_2_34_x86_64.whl", hash = "sha256:f68b891688e61bdc08b8d364d919ff0051e0b94657b39dcd027bc3173edb7cdc", size = 3059958, upload-time = "2026-06-01T19:30:45.622Z" },
+ { url = "https://files.pythonhosted.org/packages/a8/31/453d2c9a23d133fe2c8ec7ca1d816ded52a913487fe3ffef7c01b4b706af/debugpy-1.8.21-cp311-cp311-win32.whl", hash = "sha256:f843a8b08c2edeaf9b1582eed4f25441af21a297c22ff16bf76a662557aa9c9e", size = 5236515, upload-time = "2026-06-01T19:30:47.461Z" },
+ { url = "https://files.pythonhosted.org/packages/60/94/6660de2f2d7bf388f229335ba4637646eebabdbf38564cb439a95a9193c9/debugpy-1.8.21-cp311-cp311-win_amd64.whl", hash = "sha256:84c564d8cc701d41843b29a92814c1f1bef6798724ca9d675c284ad9f6a547d7", size = 5256138, upload-time = "2026-06-01T19:30:49.113Z" },
+ { url = "https://files.pythonhosted.org/packages/95/51/67e7cf11a53e40694f720457d5b3a1cdaaa3d5a9a633e482f225456b93ff/debugpy-1.8.21-py2.py3-none-any.whl", hash = "sha256:b1e37d333663c8851516a47364ef473da127f9caebe4417e6df6f5825a7e9a92", size = 5352888, upload-time = "2026-06-01T19:31:25.186Z" },
+]
+
+[[package]]
name = "diffusers"
version = "0.39.0"
source = { registry = "https://pypi.org/simple" }
@@ -308,6 +348,15 @@ wheels = [
]
[[package]]
+name = "executing"
+version = "2.2.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/cc/28/c14e053b6762b1044f34a13aab6859bbf40456d37d23aa286ac24cfd9a5d/executing-2.2.1.tar.gz", hash = "sha256:3632cc370565f6648cc328b32435bd120a1e4ebb20c77e3fdde9a13cd1e533c4", size = 1129488, upload-time = "2025-09-01T09:48:10.866Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/c1/ea/53f2148663b321f21b5a606bd5f191517cf40b7072c0497d3c92c4a13b1e/executing-2.2.1-py2.py3-none-any.whl", hash = "sha256:760643d3452b4d777d295bb167ccc74c64a81df23fb5e08eff250c425a4b2017", size = 28317, upload-time = "2025-09-01T09:48:08.5Z" },
+]
+
+[[package]]
name = "filelock"
version = "3.32.6"
source = { registry = "https://pypi.org/simple" }
@@ -339,6 +388,7 @@ dependencies = [
{ name = "peft" },
{ name = "pillow" },
{ name = "safetensors" },
+ { name = "sd-embed" },
{ name = "torch" },
{ name = "torchvision" },
{ name = "transformers" },
@@ -363,6 +413,7 @@ requires-dist = [
{ name = "peft", specifier = ">=0.13" },
{ name = "pillow", specifier = ">=10.4" },
{ name = "safetensors", specifier = ">=0.4" },
+ { name = "sd-embed", git = "https://github.com/xhinker/sd_embed.git?rev=4a47f71150a22942fa606fb741a1c971d95ba56f" },
{ name = "torch", specifier = "==2.14.0+cu132", index = "https://download.pytorch.org/whl/cu132" },
{ name = "torchvision", specifier = "==0.29.0+cu132", index = "https://download.pytorch.org/whl/cu132" },
{ name = "transformers", specifier = ">=4.45,<5" },
@@ -521,6 +572,92 @@ wheels = [
]
[[package]]
+name = "ipykernel"
+version = "7.3.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+ { name = "appnope", marker = "sys_platform == 'darwin'" },
+ { name = "comm" },
+ { name = "debugpy" },
+ { name = "ipython" },
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