asomoza

import torch
from optimum.quanto import QuantizedDiffusersModel, freeze, qfloat8, quantize

from diffusers import FluxPipeline, FluxTransformer2DModel


class QuantizedFluxTransformer2DModel(QuantizedDiffusersModel):
    base_class = FluxTransformer2DModel

sayakpaul

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)

sayakpaul

# Originally by jiwooya1000, put together together by sayakpaul.
# Documentation: https://huggingface.co/docs/diffusers/main/en/training/distributed_inference

"""
Run: 

accelerate launch distributed_inference_diffusers.py --batch_size 8

# Enable memory optimizations for large models like SD3
accelerate launch distributed_inference_diffusers.py --batch_size 8 --low_mem=1

crasm

#!/bin/sh

log() {
  format="$1"; shift
  # shellcheck disable=SC2059
  >&2 printf "$format\n" "$@"
}

usage() {
  >&2 cat <<EOF

al-swaiti

Improve Fonts

Newest

Make your Arch fonts beautiful easily! This is what I do when I install Arch Linux to improve the fonts.

You may consider the following settings to improve your fonts for system-wide usage without installing a patched font library packages (eg. Infinality):

Install some fonts, for example:
sudo pacman -S ttf-dejavu ttf-liberation noto-fonts

RabeyaMuna

import os
def parent_directory():

  # Create a relative path to the parent 
  # of the current working directory 
  relative_parent = os.path.join(os.getcwd(), os.pardir)
  # Return the absolute path of the parent directory
  return os.path.abspath(relative_parent)

print(parent_directory())