mirror of
https://github.com/comfyanonymous/ComfyUI.git
synced 2025-07-27 16:26:39 +00:00
61 lines
1.9 KiB
Python
61 lines
1.9 KiB
Python
from __future__ import annotations
|
|
|
|
import comfy.model_patcher
|
|
import comfy.samplers
|
|
from comfy_api.latest import io
|
|
|
|
#Modified/simplified version of the node from: https://github.com/pamparamm/sd-perturbed-attention
|
|
#If you want the one with more options see the above repo.
|
|
|
|
#My modified one here is more basic but has fewer chances of breaking with ComfyUI updates.
|
|
|
|
|
|
class PerturbedAttentionGuidance(io.ComfyNode):
|
|
@classmethod
|
|
def define_schema(cls):
|
|
return io.Schema(
|
|
node_id="PerturbedAttentionGuidance_V3",
|
|
category="model_patches/unet",
|
|
inputs=[
|
|
io.Model.Input("model"),
|
|
io.Float.Input("scale", default=3.0, min=0.0, max=100.0, step=0.01, round=0.01),
|
|
],
|
|
outputs=[
|
|
io.Model.Output(),
|
|
],
|
|
)
|
|
|
|
@classmethod
|
|
def execute(cls, model, scale):
|
|
unet_block = "middle"
|
|
unet_block_id = 0
|
|
m = model.clone()
|
|
|
|
def perturbed_attention(q, k, v, extra_options, mask=None):
|
|
return v
|
|
|
|
def post_cfg_function(args):
|
|
model = args["model"]
|
|
cond_pred = args["cond_denoised"]
|
|
cond = args["cond"]
|
|
cfg_result = args["denoised"]
|
|
sigma = args["sigma"]
|
|
model_options = args["model_options"].copy()
|
|
x = args["input"]
|
|
|
|
if scale == 0:
|
|
return cfg_result
|
|
|
|
# Replace Self-attention with PAG
|
|
model_options = comfy.model_patcher.set_model_options_patch_replace(model_options, perturbed_attention, "attn1", unet_block, unet_block_id)
|
|
(pag,) = comfy.samplers.calc_cond_batch(model, [cond], x, sigma, model_options)
|
|
|
|
return cfg_result + (cond_pred - pag) * scale
|
|
|
|
m.set_model_sampler_post_cfg_function(post_cfg_function)
|
|
|
|
return io.NodeOutput(m)
|
|
|
|
|
|
NODES_LIST = [PerturbedAttentionGuidance]
|