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https://git.datalinker.icu/comfyanonymous/ComfyUI
synced 2026-09-04 09:27:11 +08:00
rename, cleanup code
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ac60a29e43
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5be653c2e5
@ -6,15 +6,15 @@ def project(v0, v1):
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v0_orthogonal = v0 - v0_parallel
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return v0_parallel, v0_orthogonal
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class AGP:
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class APG:
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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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"model": ("MODEL",),
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"eta": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
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"norm_threshold": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 50.0, "step": 0.1}),
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"momentum": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}),
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"eta": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.01, "tooltip": "Controls the scale of the parallel guidance vector. Default CFG behavior at a setting of 1."}),
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"norm_threshold": ("FLOAT", {"default": 5.0, "min": 0.0, "max": 50.0, "step": 0.1, "tooltip": "Normalize guidance vector to this value, normalization disable at a setting of 0."}),
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"momentum": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip":"Controls a running average of guidance during diffusion, disabled at a setting of 0."}),
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}
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}
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RETURN_TYPES = ("MODEL",)
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@ -23,20 +23,21 @@ class AGP:
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def patch(self, model, eta, norm_threshold, momentum):
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running_avg = 0
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prev_shape = None
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prev_sigma = None
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def pre_cfg_function(args):
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nonlocal running_avg, prev_shape
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nonlocal running_avg, prev_sigma
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cond = args["conds_out"][0]
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uncond = args["conds_out"][1]
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sigma = args["sigma"][0]
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if prev_sigma is not None and sigma > prev_sigma:
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running_avg = 0
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prev_sigma = sigma
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guidance = cond - uncond
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if prev_shape is not None and guidance.shape != prev_shape:
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running_avg = 0
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prev_shape = guidance.shape
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if momentum > 0:
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if not torch.is_tensor(running_avg):
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running_avg = guidance
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@ -64,9 +65,9 @@ class AGP:
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return (m,)
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NODE_CLASS_MAPPINGS = {
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"AGP": AGP,
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"APG": APG,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"AGP": "Adaptive Gradient Projection",
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"APG": "Adaptive Projected Guidance",
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}
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