wangbo/ComfyUI
1
0
Fork 0
mirror of https://github.com/comfyanonymous/ComfyUI.git synced 2026-06-13 01:30:32 +08:00
Code Issues Actions 20 Packages Projects Releases Wiki Activity

Merge branch 'master' into zeta-x0-dino

Browse Source
This commit is contained in:
Lodestone 2026-03-01 12:11:55 +07:00 committed by GitHub
commit b690d495cb
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 16 additions and 8 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

24
comfy_extras/nodes_mahiro.py
View File

@ -10,7 +10,7 @@ class Mahiro(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="Mahiro",
display_name="Mahiro CFG",
display_name="Positive-Biased Guidance",
category="_for_testing",
description="Modify the guidance to scale more on the 'direction' of the positive prompt rather than the difference between the negative prompt.",
inputs=[
@ -20,27 +20,35 @@ class Mahiro(io.ComfyNode):
io.Model.Output(display_name="patched_model"),
],
is_experimental=True,
search_aliases=[
"mahiro",
"mahiro cfg",
"similarity-adaptive guidance",
"positive-biased cfg",
],
)
@classmethod
def execute(cls, model) -> io.NodeOutput:
m = model.clone()
def mahiro_normd(args):
scale: float = args['cond_scale']
cond_p: torch.Tensor = args['cond_denoised']
uncond_p: torch.Tensor = args['uncond_denoised']
#naive leap
scale: float = args["cond_scale"]
cond_p: torch.Tensor = args["cond_denoised"]
uncond_p: torch.Tensor = args["uncond_denoised"]
# naive leap
leap = cond_p * scale
#sim with uncond leap
# sim with uncond leap
u_leap = uncond_p * scale
cfg = args["denoised"]
merge = (leap + cfg) / 2
normu = torch.sqrt(u_leap.abs()) * u_leap.sign()
normm = torch.sqrt(merge.abs()) * merge.sign()
sim = F.cosine_similarity(normu, normm).mean()
simsc = 2 * (sim+1)
wm = (simsc*cfg + (4-simsc)*leap) / 4
simsc = 2 * (sim + 1)
wm = (simsc * cfg + (4 - simsc) * leap) / 4
return wm
m.set_model_sampler_post_cfg_function(mahiro_normd)
return io.NodeOutput(m)