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15 changes: 14 additions & 1 deletion wd14tagger.py
Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,7 @@
import csv
import os
import sys
import hashlib
import onnxruntime as ort
from onnxruntime import InferenceSession
from PIL import Image
Expand Down Expand Up @@ -179,6 +180,7 @@ def INPUT_TYPES(s):
"character_threshold": ("FLOAT", {"default": defaults["character_threshold"], "min": 0.0, "max": 1, "step": 0.05}),
"replace_underscore": ("BOOLEAN", {"default": defaults["replace_underscore"]}),
"trailing_comma": ("BOOLEAN", {"default": defaults["trailing_comma"]}),
"cache": ("BOOLEAN", {"default": False}),
"exclude_tags": ("STRING", {"default": defaults["exclude_tags"]}),
}}

Expand All @@ -189,7 +191,16 @@ def INPUT_TYPES(s):

CATEGORY = "image"

def tag(self, image, model, threshold, character_threshold, exclude_tags="", replace_underscore=False, trailing_comma=False):
def tag(self, image, model, threshold, character_threshold, exclude_tags="", replace_underscore=False, trailing_comma=False, cache=False):

hash = image.__hash__()

# use tags hasing
if cache and hasattr(self, "imghash") and self.imghash == hash:
print(hash)
return {"ui": {"tags": self.tags}, "result": (self.tags,)}


tensor = image*255
tensor = np.array(tensor, dtype=np.uint8)

Expand All @@ -199,6 +210,8 @@ def tag(self, image, model, threshold, character_threshold, exclude_tags="", rep
image = Image.fromarray(tensor[i])
tags.append(wait_for_async(lambda: tag(image, model, threshold, character_threshold, exclude_tags, replace_underscore, trailing_comma)))
pbar.update(1)
self.imghash = hash
self.tags = tags
return {"ui": {"tags": tags}, "result": (tags,)}


Expand Down