adrienbrault

# Clone llama.cpp
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp

# Build it
make clean
LLAMA_METAL=1 make

# Download model
export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin

shellward

ynagatomo

//
//  ContentView.swift
//  coremlsd2test
//
//  Created by Yasuhito Nagatomo on 2022/12/03.
//
//  A sample code using Apple/ml-stable-diffusion library.
//  Preparation:
//  1. convert the PyTorch Stable-Diffusion v2 model to coreml models using Apple's tools.
//  2. import the coreml models into the iOS project.

ProGamerGov

# Script by https://github.com/ProGamerGov
import copy
import torch


# Path to model and VAE files that you want to merge
vae_file_path = "vae-ft-mse-840000-ema-pruned.ckpt"
model_file_path = "v1-5-pruned-emaonly.ckpt"

# Name to use for new model file

simonbs

// Variables used by Scriptable.
// These must be at the very top of the file. Do not edit.
// icon-color: deep-purple; icon-glyph: apple-alt;
const TITLE = "One More Thing"
const DATE = "2020-11-10T17:00:00Z"
const IMG_URL = "https://i.ibb.co/f2SN2Wb/bg.png"

let widget = await createWidget()
if (config.runsInWidget) {
  Script.setWidget(widget)

enzyme69

{
  "export_version": "0.079",
  "framed_nodes": {},
  "groups": {},
  "nodes": {
    "IcoSphere": {
      "bl_idname": "SvIcosphereNode",
      "color": [
        0.0,
        0.5,

jmpinit

# https://towardsdatascience.com/blender-2-8-grease-pencil-scripting-and-generative-art-cbbfd3967590

import bpy
import math
import numpy as np

def get_grease_pencil(gpencil_obj_name='GPencil') -> bpy.types.GreasePencil:
    """
    Return the grease-pencil object with the given name. Initialize one if not already present.
    :param gpencil_obj_name: name/key of the grease pencil object in the scene

p2or

# for https://blender.stackexchange.com/q/143599/3710

import bpy

mat_name = "Material_Name"

# check whether the material already exists
if bpy.data.materials.get(mat_name):
    mat = bpy.data.materials[mat_name]
else:

batFINGER

bl_info = {
    "name": "Mercator Project",
    "author": "batFINGER",
    "version": (1, 0),
    "blender": (2, 79, 0),
    "location": "View3D > Mesh > UV UnWrap > Mercator Project",
    "description": "UV Mercator Projection",
    "warning": "",
    "wiki_url": "",
    "category": "UV",

kravik

import Vision
//1
let sourceImage = UIImage(named: "jony.jpg")
var resultImage = sourceImage
//2
let detectFaceRequest = VNDetectFaceLandmarksRequest { (request, error) in
  //4
  if let results = request.results as? [VNFaceObservation] {
    //5
    for faceObservation in results {