Celestial Phineas celestialphineas

## pipeline_controlnet.py
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

## instantiate.sh
tx -t1 -U 250 SourceHanSans-VF.otf > master1.pfb
tx -t1 -U 900 SourceHanSans-VF.otf > master1.pfb

## convert_diffusers_to_original_stable_diffusion.py
# Script for converting a HF Diffusers saved pipeline to a Stable Diffusion checkpoint.
# *Only* converts the UNet, VAE, and Text Encoder.
# Does not convert optimizer state or any other thing.

import argparse
import os.path as osp
import re

import torch

## pix2pix-for-roman2italic.ipynb

      
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                celestialphineas
                / pix2pix-for-roman2italic.ipynb
            
            
              Last active
              October 7, 2022 14:02
            
              
                pix2pix-for-roman2italic.ipynb
              
          
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## base.json
{
    "head": {
        "version": 1.0,
        "fontRevision": 1.0,
        "flags": {
            "baselineAtY_0": true,
            "alwaysUseIntegerSize": true
        },
        "unitsPerEm": 1000,
        "macStyle": {},

## glyph_img.py
import os
import numpy as np
# 需要Pillow库
from PIL import Image, ImageDraw, ImageFont
# 需要fonttools库
from fontTools.ttLib import TTFont

# 从字体中返回一个字的图像（以numpy数组形式储存）
# 对大多数符合规范的字体，这个函数可以保证输出图像的边框正好是汉字的字身框
#（相当于稿纸上面的格子。一般比bounding box大一点，汉字在设计的时候不是顶着格的）

## contour_math.py
#!/usr/bin/env python3
# -*- encoding: utf8 -*-
import cairocffi as cairo
import numpy as np

# Adding the implicit on-points back to the contour
# The input is one single contour, not all of the glyph's contours
def regularize_quadratic_contour(contour):
  result = []
  if not contour[0]['on']:

## get_glyph_img.py
#!/usr/bin/env python3
# -*- encoding: utf8 -*-
import os, json
import numpy as np
from PIL import Image, ImageDraw, ImageFont

def get_glyph_img(character, fontname,
    pt = 1024, binarize = True,
    descent_offset = True):
    """Get image of a certain glyph from the given font

## get_glyph_img.py
#!/usr/bin/env python3
# -*- encoding: utf8 -*-
import os
import numpy as np
from PIL import Image, ImageDraw, ImageFont

dirname = os.path.dirname(__file__)
shs_cn_filename = os.path.join(dirname,
    '../../data/fonts/SourceHanSansSC-ExtraLight.otf')

## tool_database_buildup.md

      
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                celestialphineas
                / tool_database_buildup.md
            
            
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              April 3, 2019 18:13
            
              
                Building up databases for common microbiome taxomy tools.
              
          
    Mash sketch database

# Follow the Genomes Download FAQ (minus the 'complete' part): https://www.ncbi.nlm.nih.gov/genome/doc/ftpfaq/#allcomplete
wget -O assembly_summary.txt ftp://ftp.ncbi.nlm.nih.gov/genomes/refseq/archaea/assembly_summary.txt ftp://ftp.ncbi.nlm.nih.gov/genomes/refseq/bacteria/assembly_summary.txt
awk -F "\t" '$11=="latest"{print $20}' assembly_summary.txt > ftpdirpaths
awk 'BEGIN{FS=OFS="/";filesuffix="genomic.fna.gz"}{ftpdir=$0;asm=$10;file=asm"_"filesuffix;print ftpdir,file}' ftpdirpaths > ftpfilepaths
xargs -n 1 -P 32 wget -q < ftpfilepaths

# Double-check that all genomes were downloaded, please manually download missing file(s) – if any:
	# Copyright 2023 The HuggingFace Team. All rights reserved.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software
	# distributed under the License is distributed on an "AS IS" BASIS,
	tx -t1 -U 250 SourceHanSans-VF.otf > master1.pfb
	tx -t1 -U 900 SourceHanSans-VF.otf > master1.pfb
	# Script for converting a HF Diffusers saved pipeline to a Stable Diffusion checkpoint.
	# Only converts the UNet, VAE, and Text Encoder.
	# Does not convert optimizer state or any other thing.

	import argparse
	import os.path as osp
	import re

	import torch
	{
	"head": {
	"version": 1.0,
	"fontRevision": 1.0,
	"flags": {
	"baselineAtY_0": true,
	"alwaysUseIntegerSize": true
	},
	"unitsPerEm": 1000,
	"macStyle": {},
	import os
	import numpy as np
	# 需要Pillow库
	from PIL import Image, ImageDraw, ImageFont
	# 需要fonttools库
	from fontTools.ttLib import TTFont

	# 从字体中返回一个字的图像（以numpy数组形式储存）
	# 对大多数符合规范的字体，这个函数可以保证输出图像的边框正好是汉字的字身框
	#（相当于稿纸上面的格子。一般比bounding box大一点，汉字在设计的时候不是顶着格的）
	#!/usr/bin/env python3
	# -- encoding: utf8 --
	import cairocffi as cairo
	import numpy as np

	# Adding the implicit on-points back to the contour
	# The input is one single contour, not all of the glyph's contours
	def regularize_quadratic_contour(contour):
	result = []
	if not contour[0]['on']:
	#!/usr/bin/env python3
	# -- encoding: utf8 --
	import os, json
	import numpy as np
	from PIL import Image, ImageDraw, ImageFont

	def get_glyph_img(character, fontname,
	pt = 1024, binarize = True,
	descent_offset = True):
	"""Get image of a certain glyph from the given font