Create generate-webpage.yml
Former-commit-id: 1ab606363d8f9286140f9ebfcdc8769baa5f0658 [formerly 863c165e6b
]
Former-commit-id: 74c68c5b1023e8d9b40c46c3a2f3591d1f97b1af
This commit is contained in:
parent
18df94aa07
commit
1e7cf9d347
|
@ -0,0 +1,153 @@
|
|||
# This workflow will install Python dependencies, run tests and lint with a single version of Python
|
||||
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
|
||||
|
||||
name: Python application
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [ "main" ]
|
||||
pull_request:
|
||||
branches: [ "main" ]
|
||||
|
||||
permissions:
|
||||
contents: read
|
||||
|
||||
jobs:
|
||||
build:
|
||||
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v3
|
||||
- name: Run Python Script
|
||||
uses: jannekem/run-python-script-action@v1.3
|
||||
with:
|
||||
script: |
|
||||
import os
|
||||
import shutil
|
||||
from urllib import request as ulreq
|
||||
|
||||
# import markdownify
|
||||
import requests
|
||||
from PIL import ImageFile
|
||||
|
||||
|
||||
def getsizes(uri):
|
||||
# https://stackoverflow.com/a/37709319
|
||||
# get file size *and* image size (None if not known)
|
||||
file = ulreq.urlopen(uri)
|
||||
size = file.headers.get("content-length")
|
||||
if size:
|
||||
size = int(size)
|
||||
p = ImageFile.Parser()
|
||||
while True:
|
||||
data = file.read(1024)
|
||||
if not data:
|
||||
break
|
||||
p.feed(data)
|
||||
if p.image:
|
||||
return size, p.image.size
|
||||
break
|
||||
file.close()
|
||||
return (size, None)
|
||||
|
||||
|
||||
# Get list of model directories
|
||||
working_dir = os.getcwd()
|
||||
root_dir_list = []
|
||||
for x in os.listdir(working_dir):
|
||||
if os.path.isdir(x):
|
||||
root_dir_list.append(x)
|
||||
|
||||
html_struct = f"""<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<title>Stable Diffusion Texual Inversion Models</title>
|
||||
<meta charset="utf-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1">
|
||||
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.2.1/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-iYQeCzEYFbKjA/T2uDLTpkwGzCiq6soy8tYaI1GyVh/UjpbCx/TYkiZhlZB6+fzT" crossorigin="anonymous">
|
||||
</head>
|
||||
<body>
|
||||
<style>
|
||||
.img-wrapper {
|
||||
display: flex;
|
||||
margin-top: 40px;
|
||||
}
|
||||
|
||||
.img1,
|
||||
.img2,
|
||||
.img3 {}
|
||||
|
||||
.thumbnail {
|
||||
height: 185px;
|
||||
}
|
||||
|
||||
.model-link {}
|
||||
|
||||
.model-title {
|
||||
margin-top: 100px;
|
||||
}
|
||||
|
||||
.model-link-wrapper {}
|
||||
</style>
|
||||
<div class="container" style="margin-bottom: 180px;">
|
||||
<div class="jumbotron text-center" style="margin: 45px;"><h1>Stable Diffusion Texual Inversion Models</h1></div>
|
||||
<center>Compiled {datetime.datetime.now().strftime('%B %d, %Y')}</center>
|
||||
|
||||
<p>
|
||||
Generated from <a href="https://huggingface.co/sd-concepts-library">huggingface.co/sd-concepts-library</a>
|
||||
</p>
|
||||
|
||||
<p>
|
||||
Downloaded models are straight from the HuggingFace repositories and are named learned_embeds.bin. Rename to model_name.pt
|
||||
</p>
|
||||
|
||||
<p>
|
||||
The HuggingFace repository is changed regularly so this page might not be current.
|
||||
</p>
|
||||
|
||||
|
||||
<br><hr>
|
||||
"""
|
||||
|
||||
# Move the model out
|
||||
i = 1
|
||||
for model_name in root_dir_list:
|
||||
print(f'{i}/{len(root_dir_list)} -> {model_name}')
|
||||
# if os.path.exists(f'{model_name}/learned_embeds.bin'): # double check the file exists since sometimes it hasn't been uploaded yet
|
||||
# shutil.move(f'{model_name}/learned_embeds.bin', f'{model_name}/{model_name}.pt')
|
||||
# pass
|
||||
# else:
|
||||
# continue
|
||||
|
||||
# Images can be in a few different formats, figure out which one it's in
|
||||
img_type = None
|
||||
img_width = None
|
||||
for type in ['jpeg', 'png', 'jpg']:
|
||||
r = requests.head(f'https://huggingface.co/sd-concepts-library/{model_name}/resolve/main/concept_images/0.{type}', allow_redirects=True)
|
||||
if r.status_code == 200:
|
||||
img_type = type
|
||||
img_width = getsizes(f'https://huggingface.co/sd-concepts-library/{model_name}/resolve/main/concept_images/0.{type}')[1][0]
|
||||
break
|
||||
|
||||
html_struct = html_struct + f"""<h3 class="model-title">{model_name}</h3>
|
||||
<p><a class="model-link" href="https://huggingface.co/sd-concepts-library/{model_name}/resolve/main/learned_embeds.bin">Download {model_name}</a></p>
|
||||
<p><a class="model-link" href="https://huggingface.co/sd-concepts-library/{model_name}/">View Repository</a></p>
|
||||
<div class="img-wrapper">
|
||||
<div class="img1" style="width:{img_width}px;">
|
||||
<img class="thumbnail" src="https://huggingface.co/sd-concepts-library/{model_name}/resolve/main/concept_images/0.{img_type}">
|
||||
</div>
|
||||
<div class="img2" style="width:{img_width}px;">
|
||||
<img class="thumbnail" src="https://huggingface.co/sd-concepts-library/{model_name}/resolve/main/concept_images/1.{img_type}">
|
||||
</div>
|
||||
<div class="img3" style="width:{img_width}px;">
|
||||
<img class="thumbnail" src="https://huggingface.co/sd-concepts-library/{model_name}/resolve/main/concept_images/2.{img_type}">
|
||||
</div>
|
||||
</div>"""
|
||||
i = i + 1
|
||||
|
||||
html_struct = html_struct + '</div></body></html>'
|
||||
|
||||
f = open('sd-concepts-library.html', 'w')
|
||||
f.write(html_struct)
|
||||
f.close()
|
Loading…
Reference in New Issue