From 19ae465203c8dcc0b1179584db632015362b5e44 Mon Sep 17 00:00:00 2001 From: Volpeon Date: Sun, 26 Mar 2023 14:27:54 +0200 Subject: Improved inverted tokens --- data/csv.py | 67 ++++++++++++++++++++++++++++++++++++++++--------------------- 1 file changed, 44 insertions(+), 23 deletions(-) (limited to 'data') diff --git a/data/csv.py b/data/csv.py index d52d251..9770bec 100644 --- a/data/csv.py +++ b/data/csv.py @@ -178,6 +178,7 @@ class VlpnDataModule(): shuffle: bool = False, interpolation: str = "bicubic", template_key: str = "template", + placeholder_tokens: list[str] = [], valid_set_size: Optional[int] = None, train_set_pad: Optional[int] = None, valid_set_pad: Optional[int] = None, @@ -195,6 +196,7 @@ class VlpnDataModule(): self.data_root = self.data_file.parent self.class_root = self.data_root / class_subdir self.class_root.mkdir(parents=True, exist_ok=True) + self.placeholder_tokens = placeholder_tokens self.num_class_images = num_class_images self.with_guidance = with_guidance @@ -217,31 +219,50 @@ class VlpnDataModule(): self.dtype = dtype def prepare_items(self, template, expansions, data) -> list[VlpnDataItem]: - image = template["image"] if "image" in template else "{}" - prompt = template["prompt"] if "prompt" in template else "{content}" - cprompt = template["cprompt"] if "cprompt" in template else "{content}" - nprompt = template["nprompt"] if "nprompt" in template else "{content}" + tpl_image = template["image"] if "image" in template else "{}" + tpl_prompt = template["prompt"] if "prompt" in template else "{content}" + tpl_cprompt = template["cprompt"] if "cprompt" in template else "{content}" + tpl_nprompt = template["nprompt"] if "nprompt" in template else "{content}" + + items = [] + + for item in data: + image = tpl_image.format(item["image"]) + prompt = item["prompt"] if "prompt" in item else "" + nprompt = item["nprompt"] if "nprompt" in item else "" + collection = item["collection"].split(", ") if "collection" in item else [] + + prompt_keywords = prompt_to_keywords( + tpl_prompt.format(**prepare_prompt(prompt)), + expansions + ) - return [ - VlpnDataItem( - self.data_root / image.format(item["image"]), - None, - prompt_to_keywords( - prompt.format(**prepare_prompt(item["prompt"] if "prompt" in item else "")), - expansions - ), - keywords_to_prompt(prompt_to_keywords( - cprompt.format(**prepare_prompt(item["prompt"] if "prompt" in item else "")), - expansions - )), - prompt_to_keywords( - nprompt.format(**prepare_prompt(item["nprompt"] if "nprompt" in item else "")), - expansions - ), - item["collection"].split(", ") if "collection" in item else [] + cprompt = keywords_to_prompt(prompt_to_keywords( + tpl_cprompt.format(**prepare_prompt(prompt)), + expansions + )) + + inverted_tokens = keywords_to_prompt([ + f"inv_{token}" + for token in self.placeholder_tokens + if token in prompt_keywords + ]) + + nprompt_keywords = prompt_to_keywords( + tpl_nprompt.format(_inv=inverted_tokens, **prepare_prompt(nprompt)), + expansions ) - for item in data - ] + + items.append(VlpnDataItem( + self.data_root / image, + None, + prompt_keywords, + cprompt, + nprompt_keywords, + collection + )) + + return items def filter_items(self, items: list[VlpnDataItem]) -> list[VlpnDataItem]: if self.filter is None: -- cgit v1.2.3-70-g09d2