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svg2img.py
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import locale
import os
from html2image import Html2Image
from PIL import Image, ImageOps, ImageSequence
import numpy as np
import torch
# 获取当前目录路径
current_dir_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# 在current_dir_path下创建一个名为output的文件夹
output_dir_path = os.path.join(current_dir_path, 'output')
os.makedirs(output_dir_path, exist_ok=True)
def save_svg_code_to_html(svg_code, html_file):
html_str = f'''
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>SVG Example</title>
<style>
body {{
display: flex;
justify-content: center;
align-items: center;
height: 100vh;
margin: 0;
}}
svg {{
width: 100%;
height: 100%;
max-width: 100%;
max-height: 100%;
}}
</style>
</head>
<body>
<?xml version="1.0" encoding="UTF-8"?>
{svg_code}
</body>
</html>
'''
with open(html_file, 'w', encoding='utf-8') as file:
file.write(html_str)
def html2img(html_file, output_file, width=800, height=600):
hti = Html2Image()
hti.output_path = output_dir_path
hti.screenshot(html_file=html_file, save_as=output_file, size=(width, height))
image_path = os.path.join(hti.output_path, output_file)
return image_path
class svg2html:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"svg_code": ("STRING", {"forceInput": True}),
}
}
RETURN_TYPES = ("STRING",)
RETURN_NAMES = ("html_str",)
FUNCTION = "time"
# OUTPUT_NODE = False
CATEGORY = "大模型派对（llm_party）/转换器（converter）"
def time(self, svg_code, is_enable=True):
if is_enable == False:
return (None,)
html_str = f'''
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>SVG Example</title>
<style>
body {{
display: flex;
justify-content: center;
align-items: center;
height: 100vh;
margin: 0;
}}
svg {{
width: 100%;
height: 100%;
max-width: 100%;
max-height: 100%;
}}
</style>
</head>
<body>
<?xml version="1.0" encoding="UTF-8"?>
{svg_code}
</body>
</html>
'''
return (html_str,)
class svg2img_function:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"svg_str": ("STRING", {"forceInput": True}),
"width": ("INT", {"default": 800}),
"height": ("INT", {"default": 600}),
"is_enable": ("BOOLEAN", {"default": True}),
}
}
RETURN_TYPES = ("IMAGE",)
RETURN_NAMES = ("img",)
FUNCTION = "time"
# OUTPUT_NODE = False
CATEGORY = "大模型派对（llm_party）/转换器（converter）"
def time(self, svg_str, width, height, is_enable=True):
if is_enable == False:
return (None,)
img_out = []
# 保存SVG代码为HTML文件
html_file = os.path.join(output_dir_path, 'example.html')
save_svg_code_to_html(svg_str, html_file)
# 将HTML文件转换为PNG图像
png_file = 'example.png'
image_path = html2img(html_file, png_file, width, height)
img = Image.open(image_path)
for i in ImageSequence.Iterator(img):
i = ImageOps.exif_transpose(i)
if i.mode == "I":
i = i.point(lambda i: i * (1 / 256)).convert("L")
image = i.convert("RGB")
image = np.array(image).astype(np.float32) / 255.0
image = torch.from_numpy(image).unsqueeze(0)
img_out.append(image)
if len(img_out) > 1:
img_out = torch.cat(img_out, dim=0)
elif img_out:
img_out = img_out[0]
if img_out == []:
img_out = None
return (img_out,)
NODE_CLASS_MAPPINGS = {"svg2img_function": svg2img_function,
"svg2html": svg2html}
# 获取系统语言
lang = locale.getdefaultlocale()[0]
import os
import sys
current_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
config_path = os.path.join(current_dir, "config.ini")
import configparser
config = configparser.ConfigParser()
config.read(config_path)
try:
language = config.get("API_KEYS", "language")
except:
language = ""
if language == "zh_CN" or language=="en_US":
lang=language
if lang == "zh_CN":
NODE_DISPLAY_NAME_MAPPINGS = {"svg2img_function": "SVG转图片",
"svg2html": "SVG转HTML"}
else:
NODE_DISPLAY_NAME_MAPPINGS = {"svg2img_function": "SVG to Image",
"svg2html": "SVG to HTML"}