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synced 2025-12-09 04:44:30 +08:00
Update nodes.py
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38
nodes.py
38
nodes.py
@ -3659,7 +3659,37 @@ class ImageNormalize_Neg1_To_1:
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images = images * 2.0 - 1.0
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return (images,)
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class X0_passlatent(comfy.model_sampling.EPS):
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def calculate_denoised(self, sigma, model_output, model_input):
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return model_output
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def calculate_input(self, sigma, noise):
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return noise
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class SingleStepSampling:
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@classmethod
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def INPUT_TYPES(s):
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return {"required": { "model": ("MODEL",),
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}}
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RETURN_TYPES = ("MODEL",)
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FUNCTION = "patch"
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CATEGORY = "KJNodes"
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def patch(self, model):
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m = model.clone()
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sampling_base = comfy.model_sampling.ModelSamplingDiscrete
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sampling_type = X0_passlatent
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class ModelSamplingAdvanced(sampling_base, sampling_type):
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pass
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model_sampling = ModelSamplingAdvanced(model.model.model_config)
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m.add_object_patch("model_sampling", model_sampling)
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return (m, )
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NODE_CLASS_MAPPINGS = {
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"INTConstant": INTConstant,
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"FloatConstant": FloatConstant,
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@ -3727,7 +3757,8 @@ NODE_CLASS_MAPPINGS = {
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"ImageUpscaleWithModelBatched": ImageUpscaleWithModelBatched,
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"ScaleBatchPromptSchedule": ScaleBatchPromptSchedule,
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"EffnetEncode": EffnetEncode,
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"ImageNormalize_Neg1_To_1": ImageNormalize_Neg1_To_1
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"ImageNormalize_Neg1_To_1": ImageNormalize_Neg1_To_1,
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"SingleStepSampling": SingleStepSampling,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"INTConstant": "INT Constant",
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@ -3795,5 +3826,6 @@ NODE_DISPLAY_NAME_MAPPINGS = {
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"ImageUpscaleWithModelBatched": "ImageUpscaleWithModelBatched",
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"ScaleBatchPromptSchedule": "ScaleBatchPromptSchedule",
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"EffnetEncode": "EffnetEncode",
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"ImageNormalize_Neg1_To_1": "ImageNormalize_Neg1_To_1"
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"ImageNormalize_Neg1_To_1": "ImageNormalize_Neg1_To_1",
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"SingleStepSampling": "SingleStepSampling",
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}
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