comfyui-dogma-nodes 1.0.8
legitimate ComfyUI node pack
Source contains low-bit mask syntaxModule built on the numeric Python stack
SHA-2569fb8ee973b4e6eb3d018093b16aaf8d46eb760b1cc249845643b04225a9fa69c
Evidence
1
2
3import math
4import re
5import torch
6import numpy as np
7import torch.nn.functional as F
8import node_helpers
9import comfy.utils
10
11
12def _clean_category(line):
13 s = str(line or "").strip()
14 s = re.sub(r"^\s*[-*•]+\s*", "", s)
15 s = re.sub(r"^\s*\d+\s*[\).\-\:]\s*", "", s)
16 s = s.strip().strip("`").strip()
17 # Keep only the category part if the model ignored instructions and added an explanation.
18 for sep in (" — ", " - ", ": ", " -> ", " => "):
19 if sep in s:
20 s = s.split(sep, 1)[0]. …
67:59… ans","human","humans","crowd","crowds")
68 architecture = ("building","buildings","architecture","facade","facades","façade","façades",
69 "house","houses","tower","towers","storefront","storefronts") …
140:61… p())
141 raw_lines = str(planner_text or "").replace(",", "\n").splitlines()
142 cats = []
143 seen = set()
144 for line in raw_lines:
145 c = _clean_category(line)
146 if not c:
147 continue
148 key = c.lower()
149 if key not in seen:
150 seen.add(key)
151 cats.append(c)
⋯9 lines
1306:33… 1)-min(ay2,by2))
1307 return dx*dx+dy*dy
1308
1309 while len(regions) > int(max_crops):
1310 best = None
1311 for i in range(len(regions)):
1312 for j in range(i+1,len(regions)):
1313 g = bbox_gap(regions[i], regions[j])
1314 …
1478:5… gc.collect()
1479 try:
1480 mm.soft_empty_cache()
1481 except Exception:
1482 pass
1483 return (image, "SAM stage complete. Model/cache cleanup executed before Klein stage.")
1484
1485
1486def _dogma_v10_final_state_pol …
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