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synced 2026-01-23 21:44:39 +08:00
Add ScaleBatchPromptSchedule
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parent
59195c8ca1
commit
550b75466b
47
nodes.py
47
nodes.py
@ -393,6 +393,47 @@ class CreateFadeMaskAdvanced:
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if invert:
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return (1.0 - torch.cat(out, dim=0),)
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return (torch.cat(out, dim=0),)
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class ScaleBatchPromptSchedule:
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RETURN_TYPES = ("STRING",)
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FUNCTION = "scaleschedule"
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CATEGORY = "KJNodes"
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"input_str": ("STRING", {"default": "0:(0.0),\n7:(1.0),\n15:(0.0)\n", "forceinput": True}),
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"old_frame_count": ("INT", {"default": 1,"min": 1, "max": 255, "step": 1}),
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"new_frame_count": ("INT", {"default": 1,"min": 1, "max": 255, "step": 1}),
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},
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}
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def scaleschedule(self, old_frame_count, input_str, new_frame_count):
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print("input_str:", input_str)
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pattern = r'"(\d+)"\s*:\s*"(.*?)"(?:,|\Z)'
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frame_strings = dict(re.findall(pattern, input_str))
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# Calculate the scaling factor
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scaling_factor = (new_frame_count - 1) / (old_frame_count - 1)
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# Initialize a dictionary to store the new frame numbers and strings
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new_frame_strings = {}
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# Iterate over the frame numbers and strings
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for old_frame, string in frame_strings.items():
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# Calculate the new frame number
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new_frame = int(round(int(old_frame) * scaling_factor))
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# Store the new frame number and corresponding string
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new_frame_strings[new_frame] = string
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# Format the output string
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output_str = ', '.join([f'"{k}":"{v}"' for k, v in sorted(new_frame_strings.items())])
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print(output_str)
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return (output_str,)
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class CrossFadeImages:
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@ -3598,7 +3639,8 @@ NODE_CLASS_MAPPINGS = {
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"StringConstant": StringConstant,
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"GLIGENTextBoxApplyBatch": GLIGENTextBoxApplyBatch,
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"CondPassThrough": CondPassThrough,
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"ImageUpscaleWithModelBatched": ImageUpscaleWithModelBatched
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"ImageUpscaleWithModelBatched": ImageUpscaleWithModelBatched,
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"ScaleBatchPromptSchedule": ScaleBatchPromptSchedule
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"INTConstant": "INT Constant",
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@ -3663,5 +3705,6 @@ NODE_DISPLAY_NAME_MAPPINGS = {
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"StringConstant": "StringConstant",
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"GLIGENTextBoxApplyBatch": "GLIGENTextBoxApplyBatch",
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"CondPassThrough": "CondPassThrough",
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"ImageUpscaleWithModelBatched": "ImageUpscaleWithModelBatched"
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"ImageUpscaleWithModelBatched": "ImageUpscaleWithModelBatched",
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"ScaleBatchPromptSchedule": "ScaleBatchPromptSchedule"
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}
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