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fix: 🐛 fit number regression
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closes #120
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@melMass
melMass committed Nov 4, 2023
1 parent 4039037 commit c8658df
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2 changes: 1 addition & 1 deletion examples/04-animation_builder-deforum.json
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Original file line number Diff line number Diff line change
@@ -1 +1 @@
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4 changes: 3 additions & 1 deletion log.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
import logging
import re
import os
import re

base_log_level = logging.DEBUG if os.environ.get("MTB_DEBUG") else logging.INFO

Expand Down Expand Up @@ -75,5 +75,7 @@ def cyan_text(text):


def get_label(label):
if label.startswith("MTB_"):
label = label[4:]
words = re.findall(r"(?:^|[A-Z])[a-z]*", label)
return " ".join(words).strip()
29 changes: 17 additions & 12 deletions nodes/graph_utils.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -179,10 +179,10 @@ def INPUT_TYPES(cls):
"required": {
"value": ("FLOAT", {"default": 0, "forceInput": True}),
"clamp": ("BOOLEAN", {"default": False}),
"source_min": ("FLOAT", {"default": 0.0}),
"source_max": ("FLOAT", {"default": 1.0}),
"target_min": ("FLOAT", {"default": 0.0}),
"target_max": ("FLOAT", {"default": 1.0}),
"source_min": ("FLOAT", {"default": 0.0, "step": 0.01}),
"source_max": ("FLOAT", {"default": 1.0, "step": 0.01}),
"target_min": ("FLOAT", {"default": 0.0, "step": 0.01}),
"target_max": ("FLOAT", {"default": 1.0, "step": 0.01}),
"easing": (
[
"Linear",
Expand Down Expand Up @@ -228,19 +228,18 @@ def set_range(
target_max: float,
easing: str,
):
normalized_value = (value - source_min) / (source_max - source_min)
if source_min == source_max:
normalized_value = 0
else:
normalized_value = (value - source_min) / (source_max - source_min)
if clamp:
normalized_value = max(min(normalized_value, 1), 0)

eased_value = apply_easing(normalized_value, easing)

# - Convert the eased value to the target range
res = target_min + (target_max - target_min) * eased_value

if clamp:
if target_min > target_max:
res = max(min(res, target_min), target_max)
else:
res = max(min(res, target_max), target_min)

return (res,)


Expand Down Expand Up @@ -271,4 +270,10 @@ def concatenate_tensors(self, reverse, **kwargs):
return (concatenated,)


__nodes__ = [StringReplace, FitNumber, GetBatchFromHistory, AnyToString, ConcatImages]
__nodes__ = [
StringReplace,
FitNumber,
GetBatchFromHistory,
AnyToString,
ConcatImages,
]
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