Christian J. Mills cj-mills

Script to add all items from quixel

As quixel is being removed, all items are free to aquire. This script is to automate the process to add items to your account (As of writing, a total of 18874 items)

Note: This script only tested in the latest version of Chrome.

How to use

Copy the script from below (run.js)
Login into https://quixel.com

Running Flux under limited resources with Diffusers

Flux: https://blackforestlabs.ai/announcing-black-forest-labs/

The first resource even allows you to run the pipeline under 16GBs of GPU VRAM.

If your running a x64 bit Ubuntu or other Linux and find USB transfers hang at the end apply this fix:

echo $((16*1024*1024)) > /proc/sys/vm/dirty_background_bytes
echo $((48*1024*1024)) > /proc/sys/vm/dirty_bytes

I suggest you edit your /etc/rc.local file to make this change persistant across reboots.

sudo nano /etc/rc.local

	import torch
	from huggingface_hub import hf_hub_download
	from diffusers import FluxTransformer2DModel, DiffusionPipeline

	dtype, device = torch.bfloat16, "cuda"
	ckpt_id = "black-forest-labs/FLUX.1-schnell"

	with torch.device("meta"):
	config = FluxTransformer2DModel.load_config(ckpt_id, subfolder="transformer")
	model = FluxTransformer2DModel.from_config(config).to(dtype)

	from diffusers import FluxPipeline, AutoencoderKL
	from diffusers.image_processor import VaeImageProcessor
	from transformers import T5EncoderModel, T5TokenizerFast, CLIPTokenizer, CLIPTextModel
	import torch
	import gc


	def flush():
	gc.collect()
	torch.cuda.empty_cache()

	from fastapi import Request, HTTPException
	from pydantic import BaseModel, BaseModel, HttpUrl
	from modal import Secret, App, web_endpoint, Image
	from typing import Optional, List
	from example import proposal
	import os

	app = App(name="circleback", image=Image.debian_slim().pip_install("openai", "pydantic", "fastapi"))

	class Attendee(BaseModel):

	# Start a SageMaker notebook instance (ml.p3.2xlarge) and open a terminal

	# Upload the conda yml from here: https://gist.github.com/eugeneyan/3435e05dd675b9ee2af164214536752d

	# Install NVTabular
	conda env create -f=SageMaker/nvt_t4r.yml

	# Activate conda env
	source anaconda3/etc/profile.d/conda.sh
	conda activate nvt_t4r

	import ast

	import astor # read more at https://astor.readthedocs.io/en/latest/

	parsed = ast.parse(open('source.py').read())

	for node in ast.walk(parsed):
	# let's work only on functions & classes definitions
	if not isinstance(node, (ast.FunctionDef, ast.ClassDef, ast.AsyncFunctionDef)):
	continue