fix for CI (#5)

* remove unused import

* update

* update for 5-4-1

* update

* update

Author: shunk031

Makefile

@@ -18,7 +18,7 @@ install:
 
 .PHONY: lint
 lint: install
-	uv run ruff check --output-format=github .
+	uv run ruff check --output-format=github scripts
 	uv run nbqa ruff notebooks
 
 .PHONY: format
@@ -27,7 +27,7 @@ format: install
 
 .PHONY: typecheck
 typecheck: install
-	uv run mypy .jupytext
+	uv run mypy scripts
 	uv run nbqa mypy notebooks
 
 .PHONY: apply-formatter

notebooks/4-2_clip.ipynb

@@ -502,7 +502,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "634cf091-dc89-47a4-a7dd-623059b7655f",
+   "id": "6cf5440f-a7ee-4b38-95eb-5654f5562338",
    "metadata": {},
    "source": [
     "### 画像とテキストのペアの構築"
@@ -519,7 +519,6 @@
     "\n",
     "import skimage\n",
     "from more_itertools import sort_together\n",
-    "from PIL import Image\n",
     "\n",
     "original_imgs, original_txts = [], []\n",
     "\n",

notebooks/5-4-1_lora.ipynb

@@ -164,7 +164,9 @@
    "cell_type": "code",
    "execution_count": 6,
    "id": "8d44b56e",
-   "metadata": {},
+   "metadata": {
+    "lines_to_next_cell": 2
+   },
    "outputs": [
     {
      "data": {
@@ -216,6 +218,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import random\n",
+    "\n",
+    "import numpy as np\n",
+    "\n",
+    "\n",
     "def tokenize_captions(examples, is_train=True):\n",
     "    # Preprocessing the datasets.\n",
     "    # We need to tokenize input captions and transform the images.\n",

scripts/4-2_clip.py

@@ -148,7 +148,6 @@
 
 import skimage
 from more_itertools import sort_together
-from PIL import Image
 
 original_imgs, original_txts = [], []
 

scripts/5-1-1_textual-inversion.py

@@ -354,7 +354,7 @@ def training_function(
     )
     learning_rate = hparams.learning_rate
     max_train_steps = hparams.max_train_steps
-    output_dir_path = hparams.output_dir_path
+    # output_dir_path = hparams.output_dir_path
     gradient_checkpointing = hparams.gradient_checkpointing
 
     # 学習を効率化する Accelerator の設定
@@ -579,7 +579,7 @@ def training_function(
         pipeline.save_pretrained(hparams.output_dir_path)
         # 新たに追加した概念に対応するパラメータも保存
         save_path = os.path.join(
-            hparams.output_dir_path, f"learned_embeds.bin"
+            hparams.output_dir_path, "learned_embeds.bin"
         )
         save_progress(
             text_encoder,