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Merge branch 'comfyanonymous:master' into master
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commit
9b47d8ac14
@ -4,6 +4,9 @@ if you have a NVIDIA gpu:
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run_nvidia_gpu.bat
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if you want to enable the fast fp16 accumulation (faster for fp16 models with slightly less quality):
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run_nvidia_gpu_fast_fp16_accumulation.bat
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To run it in slow CPU mode:
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@ -301,6 +301,35 @@ class ExtendIntermediateSigmas:
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return (extended_sigmas,)
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class SamplingPercentToSigma:
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@classmethod
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def INPUT_TYPES(cls) -> InputTypeDict:
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return {
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"required": {
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"model": (IO.MODEL, {}),
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"sampling_percent": (IO.FLOAT, {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.0001}),
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"return_actual_sigma": (IO.BOOLEAN, {"default": False, "tooltip": "Return the actual sigma value instead of the value used for interval checks.\nThis only affects results at 0.0 and 1.0."}),
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}
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}
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RETURN_TYPES = (IO.FLOAT,)
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RETURN_NAMES = ("sigma_value",)
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CATEGORY = "sampling/custom_sampling/sigmas"
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FUNCTION = "get_sigma"
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def get_sigma(self, model, sampling_percent, return_actual_sigma):
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model_sampling = model.get_model_object("model_sampling")
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sigma_val = model_sampling.percent_to_sigma(sampling_percent)
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if return_actual_sigma:
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if sampling_percent == 0.0:
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sigma_val = model_sampling.sigma_max.item()
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elif sampling_percent == 1.0:
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sigma_val = model_sampling.sigma_min.item()
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return (sigma_val,)
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class KSamplerSelect:
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@classmethod
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def INPUT_TYPES(s):
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@ -887,6 +916,7 @@ NODE_CLASS_MAPPINGS = {
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"FlipSigmas": FlipSigmas,
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"SetFirstSigma": SetFirstSigma,
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"ExtendIntermediateSigmas": ExtendIntermediateSigmas,
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"SamplingPercentToSigma": SamplingPercentToSigma,
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"CFGGuider": CFGGuider,
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"DualCFGGuider": DualCFGGuider,
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@ -1,5 +1,5 @@
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comfyui-frontend-package==1.23.4
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comfyui-workflow-templates==0.1.37
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comfyui-workflow-templates==0.1.39
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comfyui-embedded-docs==0.2.4
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torch
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torchsde
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