sanguivore-easyco

import os.path
from collections import OrderedDict
from safetensors.torch import save_file, load_file

import torch

state_dict=load_file("path to your slider.safetensors")

alpha_keys = [
    'lora_unet-single_transformer_blocks-0-attn-to_q.alpha',

edicam

import os.path
from collections import OrderedDict
from safetensors.torch import save_file

import torch

state_dict=torch.load("path to your slider.pt")

alpha_keys = [
    'lora_unet_single_transformer_blocks_0_attn_to_q.alpha'

arenasys

#!/usr/bin/python

import torch
import safetensors
import safetensors.torch
import os

MODEL_KEYS = [
    "model.",
    "first_stage_model",

BoQsc

// ==UserScript==
// @name         hCAPTCHA solver
// @namespace    hCAPTCHA solver
// @version      1.0
// @description  Automatically solves hCAPTCHAs in browser
// @author       Abdul Rehman Sheikh - engageub
// @licence      MIT
// @match        *://*/*
// @grant        GM_xmlhttpRequest
// @grant        GM_setValue

jachiam

# Script for converting a HF Diffusers saved pipeline to a Stable Diffusion checkpoint.
# *Only* converts the UNet, VAE, and Text Encoder.
# Does not convert optimizer state or any other thing.
# Written by jachiam

import argparse
import os.path as osp

import torch

origamiofficial

// ==UserScript==
// @name         Hcaptcha Solver with Browser Trainer(Automatically solves Hcaptcha in browser)
// @namespace    Hcaptcha Solver
// @version      10.0
// @description  Hcaptcha Solver in Browser | Automatically solves Hcaptcha in browser
// @author       Md ubeadulla
// @match        https://*.hcaptcha.com/*hcaptcha-challenge*
// @match        https://*.hcaptcha.com/*checkbox*
// @grant        GM_xmlhttpRequest
// @grant        GM_setValue

pexcn

Fix magisk stock backup does not exist

# put stock boot.img into /sdcard/boot.img

# get sha1
adb shell
su
SHA1=$(cat $(magisk --path)/.magisk/config | grep SHA1 | cut -d '=' -f 2)

tam17aki

import numpy as np
import os
from scipy.io import wavfile
import pyroomacoustics as pra

frame_len = 80
mu = 30         # higher value can give more suppression but more distortion
thres = 0.01    # threshold between (signal+noise) and noise

# How many frames to look back for the noise floor estimate.

fl64

- hosts: all
  become: yes
  gather_facts: false
  vars:

  tasks:
  - name: Check that the /etc/docker/daemon.json exists
    stat:
      path: /etc/docker/daemon.json
    register: stat_result

su-vikas

Java.perform(function() {
    var surface_view = Java.use('android.view.SurfaceView');

    var set_secure = surface_view.setSecure.overload('boolean');

    set_secure.implementation = function(flag){
        console.log("setSecure() flag called with args: " + flag); 
        set_secure.call(false);
    };