add from_image_json caption plugin to add all metadata from image json to prompt
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@ -228,14 +228,40 @@ class TitleAndTagsFromImageJson(PromptIdentityBase):
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logging.debug(f" {self.key}: prompt after: {prompt}")
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return prompt
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class VogueRunwayImageJson(PromptIdentityBase):
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class AllMetadataFromImageJson(PromptIdentityBase):
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def __init__(self, args:Namespace=None):
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super().__init__(key="vogue_runway_from_image_json",
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super().__init__(key="from_image_json",
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description="Adds title and tags hint from metadata.json (in the samefolder as the image) to the prompt",
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fn=self._title_and_tags_from_metadata_json,
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args=args)
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def try_get_kvps(self, metadata, keys:list):
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def _title_and_tags_from_metadata_json(self, args:Namespace) -> str:
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prompt = args.prompt
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logging.debug(f" {self.key}: prompt before: {prompt}")
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image_path = args.image_path
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current_dir = os.path.dirname(image_path)
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image_path_base = os.path.basename(image_path)
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image_path_without_extension = os.path.splitext(image_path_base)[0]
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candidate_json_path = os.path.join(current_dir, f"{image_path_without_extension}.json")
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if os.path.exists(candidate_json_path):
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with open(candidate_json_path, "r") as f:
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metadata = json.load(f)
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hint = json.dumps(metadata)
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prompt = self._add_hint_to_prompt(hint, prompt)
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logging.debug(f" {self.key}: prompt after: {prompt}")
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return prompt
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class VogueRunwayImageJson(PromptIdentityBase):
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def __init__(self, args:Namespace=None):
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super().__init__(key="vogue_runway_from_image_json",
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description="Adds designer, season, category, year, and tags from [image_path_without_extension].json to the prompt",
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fn=self._title_and_tags_from_metadata_json,
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args=args)
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def _try_get_kvps(self, metadata, keys:list):
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values = []
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for key in keys:
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val = metadata.get(key, "")
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@ -261,10 +287,8 @@ class VogueRunwayImageJson(PromptIdentityBase):
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with open(candidate_json_path, "r") as f:
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metadata = json.load(f)
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keys = ["designer","season","category","year"]
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hint = ""
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hint = self.try_get_kvps(metadata, keys)
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hint = self._try_get_kvps(metadata, ["designer","season","category","year"])
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tags = metadata.get("tags", [])
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tags = tags.split(",") if isinstance(tags, str) else tags # can be csv or list
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