Merge branch 'comfyanonymous:master' into master

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patientx 2024-12-12 01:22:12 +03:00 committed by GitHub
commit 076bee69a4
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3 changed files with 69 additions and 26 deletions

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@ -20,7 +20,8 @@ jobs:
strategy:
fail-fast: false
matrix:
os: [macos, linux, windows]
# os: [macos, linux, windows]
os: [macos, linux]
python_version: ["3.9", "3.10", "3.11", "3.12"]
cuda_version: ["12.1"]
torch_version: ["stable"]
@ -31,9 +32,9 @@ jobs:
- os: linux
runner_label: [self-hosted, Linux]
flags: ""
- os: windows
runner_label: [self-hosted, Windows]
flags: ""
# - os: windows
# runner_label: [self-hosted, Windows]
# flags: ""
runs-on: ${{ matrix.runner_label }}
steps:
- name: Test Workflows
@ -45,28 +46,28 @@ jobs:
google_credentials: ${{ secrets.GCS_SERVICE_ACCOUNT_JSON }}
comfyui_flags: ${{ matrix.flags }}
test-win-nightly:
strategy:
fail-fast: true
matrix:
os: [windows]
python_version: ["3.9", "3.10", "3.11", "3.12"]
cuda_version: ["12.1"]
torch_version: ["nightly"]
include:
- os: windows
runner_label: [self-hosted, Windows]
flags: ""
runs-on: ${{ matrix.runner_label }}
steps:
- name: Test Workflows
uses: comfy-org/comfy-action@main
with:
os: ${{ matrix.os }}
python_version: ${{ matrix.python_version }}
torch_version: ${{ matrix.torch_version }}
google_credentials: ${{ secrets.GCS_SERVICE_ACCOUNT_JSON }}
comfyui_flags: ${{ matrix.flags }}
# test-win-nightly:
# strategy:
# fail-fast: true
# matrix:
# os: [windows]
# python_version: ["3.9", "3.10", "3.11", "3.12"]
# cuda_version: ["12.1"]
# torch_version: ["nightly"]
# include:
# - os: windows
# runner_label: [self-hosted, Windows]
# flags: ""
# runs-on: ${{ matrix.runner_label }}
# steps:
# - name: Test Workflows
# uses: comfy-org/comfy-action@main
# with:
# os: ${{ matrix.os }}
# python_version: ${{ matrix.python_version }}
# torch_version: ${{ matrix.torch_version }}
# google_credentials: ${{ secrets.GCS_SERVICE_ACCOUNT_JSON }}
# comfyui_flags: ${{ matrix.flags }}
test-unix-nightly:
strategy:

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@ -0,0 +1,41 @@
import torch
import torch.nn.functional as F
class Mahiro:
@classmethod
def INPUT_TYPES(s):
return {"required": {"model": ("MODEL",),
}}
RETURN_TYPES = ("MODEL",)
RETURN_NAMES = ("patched_model",)
FUNCTION = "patch"
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."
def patch(self, model):
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
leap = cond_p * scale
#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
return wm
m.set_model_sampler_post_cfg_function(mahiro_normd)
return (m, )
NODE_CLASS_MAPPINGS = {
"Mahiro": Mahiro
}
NODE_DISPLAY_NAME_MAPPINGS = {
"Mahiro": "Mahiro is so cute that she deserves a better guidance function!! (。・ω・。)",
}

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@ -2147,6 +2147,7 @@ def init_builtin_extra_nodes():
"nodes_torch_compile.py",
"nodes_mochi.py",
"nodes_slg.py",
"nodes_mahiro.py",
"nodes_lt.py",
"nodes_hooks.py",
]