laksjdjf

'''
https://arxiv.org/abs/2312.00858
1. put this file in ComfyUI/custom_nodes
2. load node from <loaders>

start_step, end_step: apply this method when the timestep is between start_step and end_step
cache_interval: interval of caching (1 means no caching)
cache_depth: depth of caching
'''

Setsugennoao

from argparse import ArgumentParser
from pathlib import Path

from vsexprtools import ExprOp, norm_expr
from vstools import (
    CustomRuntimeError, Keyframes, KwargsT, Sentinel, clip_async_render, core, get_w, mod4, mod_x, ranges_product,
    shift_clip, split, vs
)

name = 'SetsuNoKeyframes'

MidSpike

CVE-2022-23812

---

RIAEvangelist/node-ipc is malware / protestware

The RIAEvangelist/node-ipc module contains protestware peacenotwar.

Excerpt from RIAEvangelist/node-ipc:

as of v11.0.0 & v9.2.2 this module uses the peacenotwar module.

pbaylies

# Modified StyleGAN2 Projector with CLIP, addl. losses, kmeans, etc.
# by Peter Baylies, 2021 -- @pbaylies on Twitter

# Copyright (c) 2021, NVIDIA CORPORATION.  All rights reserved.
#
# NVIDIA CORPORATION and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto.  Any use, reproduction, disclosure or
# distribution of this software and related documentation without an express
# license agreement from NVIDIA CORPORATION is strictly prohibited.

HanClinto

sgraaf

#!/usr/bin/env python
# -*- coding: utf-8 -*-
from argparse import ArgumentParser

import torch
import torch.distributed as dist
from torch.nn.parallel import DistributedDataParallel as DDP
from torch.utils.data import DataLoader, Dataset
from torch.utils.data.distributed import DistributedSampler
from transformers import BertForMaskedLM

A03ki

ICNR

ICNR is an initialization method for sub-pixel convolution.

References

Papar

• Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize

Github or Gist

bikcrum

# Lint as: python2, python3
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software

amaotone

geoffsmith

import onnx
import torch
from caffe2.python.onnx import backend
from torch import nn
from torch.autograd import Variable
from torch.nn import PixelShuffle

class MyPixelShuffle(nn.Module):
    """
    Alternative version of pixel shuffle that was copied from the C++ version