mirror of
https://git.datalinker.icu/comfyanonymous/ComfyUI
synced 2025-12-09 22:14:34 +08:00
70 lines
2.1 KiB
Python
70 lines
2.1 KiB
Python
#Modified/simplified version of the node from: https://github.com/pamparamm/sd-perturbed-attention
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#If you want the one with more options see the above repo.
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#My modified one here is more basic but has less chances of breaking with ComfyUI updates.
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from typing_extensions import override
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import comfy.model_patcher
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import comfy.samplers
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from comfy_api.latest import ComfyExtension, io
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class PerturbedAttentionGuidance(io.ComfyNode):
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@classmethod
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def define_schema(cls):
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return io.Schema(
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node_id="PerturbedAttentionGuidance",
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category="model_patches/unet",
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inputs=[
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io.Model.Input("model"),
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io.Float.Input("scale", default=3.0, min=0.0, max=100.0, step=0.01, round=0.01),
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],
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outputs=[
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io.Model.Output(),
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],
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)
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@classmethod
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def execute(cls, model, scale) -> io.NodeOutput:
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unet_block = "middle"
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unet_block_id = 0
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m = model.clone()
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def perturbed_attention(q, k, v, extra_options, mask=None):
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return v
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def post_cfg_function(args):
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model = args["model"]
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cond_pred = args["cond_denoised"]
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cond = args["cond"]
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cfg_result = args["denoised"]
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sigma = args["sigma"]
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model_options = args["model_options"].copy()
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x = args["input"]
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if scale == 0:
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return cfg_result
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# Replace Self-attention with PAG
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model_options = comfy.model_patcher.set_model_options_patch_replace(model_options, perturbed_attention, "attn1", unet_block, unet_block_id)
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(pag,) = comfy.samplers.calc_cond_batch(model, [cond], x, sigma, model_options)
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return cfg_result + (cond_pred - pag) * scale
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m.set_model_sampler_post_cfg_function(post_cfg_function)
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return io.NodeOutput(m)
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class PAGExtension(ComfyExtension):
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@override
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async def get_node_list(self) -> list[type[io.ComfyNode]]:
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return [
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PerturbedAttentionGuidance,
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]
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async def comfy_entrypoint() -> PAGExtension:
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return PAGExtension()
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