From 300deaa789a0321f32d5e7f04d9860eaa258110e Mon Sep 17 00:00:00 2001
From: Volpeon <git@volpeon.ink>
Date: Tue, 4 Oct 2022 19:22:22 +0200
Subject: Add Textual Inversion with class dataset (a la Dreambooth)

---
 data/dreambooth/csv.py    | 11 ++++-------
 data/dreambooth/prompt.py | 18 ------------------
 2 files changed, 4 insertions(+), 25 deletions(-)
 delete mode 100644 data/dreambooth/prompt.py

(limited to 'data/dreambooth')

diff --git a/data/dreambooth/csv.py b/data/dreambooth/csv.py
index 9075979..abd329d 100644
--- a/data/dreambooth/csv.py
+++ b/data/dreambooth/csv.py
@@ -15,6 +15,7 @@ class CSVDataModule(pl.LightningDataModule):
                  tokenizer,
                  instance_identifier,
                  class_identifier=None,
+                 class_subdir="db_cls",
                  size=512,
                  repeats=100,
                  interpolation="bicubic",
@@ -30,7 +31,7 @@ class CSVDataModule(pl.LightningDataModule):
             raise ValueError("data_file must be a file")
 
         self.data_root = self.data_file.parent
-        self.class_root = self.data_root.joinpath("db_cls")
+        self.class_root = self.data_root.joinpath(class_subdir)
         self.class_root.mkdir(parents=True, exist_ok=True)
 
         self.tokenizer = tokenizer
@@ -140,11 +141,9 @@ class CSVDataset(Dataset):
         if not instance_image.mode == "RGB":
             instance_image = instance_image.convert("RGB")
 
-        instance_prompt = prompt.format(self.instance_identifier)
-
         example["instance_images"] = instance_image
         example["instance_prompt_ids"] = self.tokenizer(
-            instance_prompt,
+            prompt.format(self.instance_identifier),
             padding="do_not_pad",
             truncation=True,
             max_length=self.tokenizer.model_max_length,
@@ -155,11 +154,9 @@ class CSVDataset(Dataset):
             if not class_image.mode == "RGB":
                 class_image = class_image.convert("RGB")
 
-            class_prompt = prompt.format(self.class_identifier)
-
             example["class_images"] = class_image
             example["class_prompt_ids"] = self.tokenizer(
-                class_prompt,
+                prompt.format(self.class_identifier),
                 padding="do_not_pad",
                 truncation=True,
                 max_length=self.tokenizer.model_max_length,
diff --git a/data/dreambooth/prompt.py b/data/dreambooth/prompt.py
deleted file mode 100644
index b3a83ce..0000000
--- a/data/dreambooth/prompt.py
+++ /dev/null
@@ -1,18 +0,0 @@
-from torch.utils.data import Dataset
-
-
-class PromptDataset(Dataset):
-    def __init__(self, prompt, nprompt, num_samples):
-        self.prompt = prompt
-        self.nprompt = nprompt
-        self.num_samples = num_samples
-
-    def __len__(self):
-        return self.num_samples
-
-    def __getitem__(self, index):
-        example = {}
-        example["prompt"] = self.prompt
-        example["nprompt"] = self.nprompt
-        example["index"] = index
-        return example
-- 
cgit v1.2.3-70-g09d2