Pedro Cuenca pcuenca

Create a Dedicated Host. Wait for it to become "Available".
Select the host. Click "Actions" and select "Launch instance(s) onto host".
Create the instance (Ventura on arm). Attach a secondary drive to be used as hub cache. I chose 1.5 TB.
Connect to the instance when it's ready

Enable vnc access

sudo defaults write /var/db/launchd.db/com.apple.launchd/overrides.plist com.apple.screensharing -dict Disabled -bool false\n

	#!/bin/sh
	#
	# Download and install iOS provisioning profiles
	# Requires https://github.com/nomad/cupertino
	#
	# Usage
	# - Login to your account once:
	# ios login
	# - Configure TEAM and PROFILE (instructions below)
	# - Run update_provisioning_profile.sh at anytime, usually after adding/removing devices to the profile

	//
	// MakeContiguousKernel.metal
	//
	// Created by Pedro Cuenca on 20220307.
	// Copyright © 2022 LateNiteSoft S.L. All rights reserved.
	//

	#include <metal_stdlib>
	using namespace metal;

	using Newtonsoft.Json.Linq;
	using System.Dynamic;
	using System.Text.RegularExpressions;


	public class CamelToSnakeDynamicWrapper : DynamicObject
	{
	private readonly JObject _jObject;

	public static string CamelToSnake(string camelCase)

	import torch
	import torch.utils.benchmark as benchmark
	import argparse
	from diffusers import DiffusionPipeline, LCMScheduler

	PROMPT = "close-up photography of old man standing in the rain at night, in a street lit by lamps, leica 35mm summilux"
	MODEL_ID = "stabilityai/stable-diffusion-xl-base-1.0"
	LORA_ID = "lcm-sd/lcm-sdxl-lora-huber-final"

	def upload_to_hub(path: str, name: str, hf_path: str):
	import os
	from huggingface_hub import HfApi, logging, ModelCard

	repo_id = f"mlx-community/{name}"

	card = ModelCard.load(hf_path)
	card.data.tags = ["mlx"] if card.data.tags is None else card.data.tags + ["mlx"]
	card.text = f"""
	# {name}

	import argparse
	import numpy as np
	import torch
	import torch.nn as nn
	import coremltools as ct
	from transformers import AutoTokenizer, AutoModelForCausalLM

	# When using float16, all predicted logits are 0. To be debugged.
	compute_precision = ct.precision.FLOAT32
	compute_units = ct.ComputeUnit.CPU_ONLY