cmdr2

[RequireComponent(typeof(MeshFilter))]
public class GenerateMesh02 : MonoBehaviour {
    /* scratchpad */
    private MeshFilter mf;


    void Start () {
        mf = GetComponent<MeshFilter> ();

        GenerateMesh ();

cmdr2

import sys
import os
import platform
from importlib.metadata import version as pkg_version

from sdkit.utils import log

from easydiffusion import app

# future home of scripts/check_modules.py

cmdr2

using UnityEngine;
using System.Collections;
using System.Collections.Generic;
using System;
 
public class Math3d {
 
	private static Transform tempChild = null;
	private static Transform tempParent = null;
 

cmdr2

import time

MODEL_PATH = "F:/models/stable-diffusion/sd-v1-4.ckpt"
CONFIG_PATH = "F:/models/stable-diffusion/v1-inference.yaml"

def diff():
    print('diffusers')
    import torch
    from transformers import logging as tr_logging
    tr_logging.set_verbosity_error() # suppress unnecessary logging

cmdr2

import torch
import tensorrt as trt
from polygraphy import cuda
import sys
from packaging import version
from diffusers import StableDiffusionPipeline
from diffusers.pipelines.onnx_utils import OnnxRuntimeModel, ORT_TO_NP_TYPE
from dataclasses import dataclass
import numpy as np
import onnxruntime as ort

cmdr2

from sdkit import Context
from sdkit.generate import generate_images
from sdkit.utils import load_tensor_file, save_tensor_file

from ldm.util import instantiate_from_config
from omegaconf import OmegaConf

import time

model_path = "/path/to/models/stable-diffusion/sd-v1-4.ckpt"

cmdr2

using System.Collections.Generic;
using UnityEngine;

// Reimplementation of http://paulbourke.net/geometry/polygonise/
// in C# for Unity.
//
// Example script to run this in Unity: https://gist.github.com/cmdr2/b5aea11b9bd5259b9198f4fdc027061c
//
// Note: This uses Unity's Linear Interpolation and Vector3
//

cmdr2

using System.Collections;
using System.Collections.Generic;
using UnityEngine;

// Simple example usage script for MarchingCubes.cs:
//  at: https://gist.github.com/cmdr2/b5326aa6fbf3c367747cc5ec31ba831e
//
// Attach to an empty GameObject in the scene
//
// Not optimized, performs poorly! Written for simple readability

cmdr2

import time

MODEL_PATH = "F:/models/stable-diffusion/sd-v1-4.ckpt"
CONFIG_PATH = "F:/models/stable-diffusion/v1-inference.yaml"
DEVICE = "mps" # or "cuda" or "cpu"

def diff():
    print('diffusers')
    import torch
    from transformers import logging as tr_logging

cmdr2

"""
Runs the desired Stable Diffusion models against the desired samplers. Saves the output images
to disk, along with the peak RAM and VRAM usage, as well as the sampling performance.
"""
import argparse
import os
import time
import traceback
from pathlib import Path