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frostydad
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# This workflow will install Python dependencies, run tests and lint with a single version of Python
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# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
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name: Python application
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on:
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push:
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branches: [ "main" ]
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pull_request:
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branches: [ "main" ]
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permissions:
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contents: read
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jobs:
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build:
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runs-on: ubuntu-latest
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steps:
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- uses: BSFishy/pip-action@v1
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with:
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packages: |
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requests
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huggingface_hub
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pillow
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- uses: actions/checkout@v3
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with:
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repository: ${{ github.repository }}
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- name: Generate Static Webpage
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run: python ${{ github.workspace }}/other/generate_tx_models_html.py
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shell: sh
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@ -1,84 +0,0 @@
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<title>Stable Diffusion Texual Inversion Models</title>
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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<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">
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</head>
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<body>
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<style>
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.img-wrapper {
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display: flex;
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margin-top: 40px;
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}
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.img1,
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.img2,
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.img3 {}
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.thumbnail {
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height: 185px;
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}
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.model-link {}
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.model-title {
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margin-top: 100px;
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}
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.model-link-wrapper {}
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</style>
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<div class="container" style="margin-bottom: 180px;">
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<div class="jumbotron text-center" style="margin: 45px;"><h1>Stable Diffusion Texual Inversion Models</h1></div>
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<p>
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Generated from <a href="https://huggingface.co/sd-concepts-library">huggingface.co/sd-concepts-library</a>
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</p>
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<p>
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Downloaded models are straight from the HuggingFace repositories and are named learned_embeds.bin. Rename to model_name.pt
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</p>
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<br><hr>
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<h3 class="model-title">jetsetdreamcastcovers</h3>
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<p><a class="model-link" href="https://huggingface.co/sd-concepts-library/jetsetdreamcastcovers/resolve/main/learned_embeds.bin">Download jetsetdreamcastcovers</a></p>
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<p><a class="model-link" href="https://huggingface.co/sd-concepts-library/jetsetdreamcastcovers/">View Repository</a></p>
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<div class="img-wrapper">
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<div class="img1" style="width:2560px;">
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<img class="thumbnail" src="https://huggingface.co/sd-concepts-library/jetsetdreamcastcovers/resolve/main/concept_images/0.jpeg">
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</div>
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<div class="img2" style="width:2560px;">
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<img class="thumbnail" src="https://huggingface.co/sd-concepts-library/jetsetdreamcastcovers/resolve/main/concept_images/1.jpeg">
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</div>
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<div class="img3" style="width:2560px;">
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<img class="thumbnail" src="https://huggingface.co/sd-concepts-library/jetsetdreamcastcovers/resolve/main/concept_images/2.jpeg">
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</div>
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</div><h3 class="model-title">yoji-shinkawa-style</h3>
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<p><a class="model-link" href="https://huggingface.co/sd-concepts-library/yoji-shinkawa-style/resolve/main/learned_embeds.bin">Download yoji-shinkawa-style</a></p>
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<p><a class="model-link" href="https://huggingface.co/sd-concepts-library/yoji-shinkawa-style/">View Repository</a></p>
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<div class="img-wrapper">
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<div class="img1" style="width:1014px;">
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<img class="thumbnail" src="https://huggingface.co/sd-concepts-library/yoji-shinkawa-style/resolve/main/concept_images/0.jpeg">
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</div>
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<div class="img2" style="width:1014px;">
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<img class="thumbnail" src="https://huggingface.co/sd-concepts-library/yoji-shinkawa-style/resolve/main/concept_images/1.jpeg">
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</div>
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<div class="img3" style="width:1014px;">
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<img class="thumbnail" src="https://huggingface.co/sd-concepts-library/yoji-shinkawa-style/resolve/main/concept_images/2.jpeg">
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</div>
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</div><h3 class="model-title">million-live-akane-3k</h3>
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<p><a class="model-link" href="https://huggingface.co/sd-concepts-library/million-live-akane-3k/resolve/main/learned_embeds.bin">Download million-live-akane-3k</a></p>
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<p><a class="model-link" href="https://huggingface.co/sd-concepts-library/million-live-akane-3k/">View Repository</a></p>
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<div class="img-wrapper">
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<div class="img1" style="width:1282px;">
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<img class="thumbnail" src="https://huggingface.co/sd-concepts-library/million-live-akane-3k/resolve/main/concept_images/0.png">
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</div>
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<div class="img2" style="width:1282px;">
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<img class="thumbnail" src="https://huggingface.co/sd-concepts-library/million-live-akane-3k/resolve/main/concept_images/1.png">
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</div>
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<div class="img3" style="width:1282px;">
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<img class="thumbnail" src="https://huggingface.co/sd-concepts-library/million-live-akane-3k/resolve/main/concept_images/2.png">
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</div>
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</div></div></body></html>
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import argparse
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import datetime
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import os
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import shutil
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import sys
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from urllib import request as ulreq
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import requests
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@ -26,13 +29,20 @@ def getsizes(uri):
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file.close()
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return (size, None)
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parser = argparse.ArgumentParser()
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parser.add_argument('out_file', nargs='?', help='file to save to')
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args = parser.parse_args()
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print('Will save to file:', args.out_file)
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# Get list of models under the sd-concepts-library organization
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print('Getting list of models...')
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api = HfApi()
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models_list = []
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for model in api.list_models(author="sd-concepts-library"):
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models_list.append(model.modelId.replace('sd-concepts-library/', ''))
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models_list.sort()
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print(models_list)
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html_struct = """<!DOCTYPE html>
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<html lang="en">
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</style>
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<div class="container" style="margin-bottom: 180px;">
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<div class="jumbotron text-center" style="margin: 45px;"><h1>Stable Diffusion Texual Inversion Models</h1></div>
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<p><i>Page updates daily. Last updated {datetime.datetime.now().strftime("%A, %B %d %Y")}.</i></p>
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<p>
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Generated from <a href="https://huggingface.co/sd-concepts-library">huggingface.co/sd-concepts-library</a>
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<br><hr>
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"""
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# Move the model out
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i = 1
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for model_name in models_list:
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if i == 3:
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break
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print(f'{i}/{len(models_list)} -> {model_name}')
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# if os.path.exists(f'{model_name}/learned_embeds.bin'): # double check the file exists since sometimes it hasn't been uploaded yet
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# shutil.move(f'{model_name}/learned_embeds.bin', f'{model_name}/{model_name}.pt')
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html_struct = html_struct + '</div></body></html>'
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f = open('sd-concepts-library.html', 'w')
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f = open(args.out_file, 'w')
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f.write(html_struct)
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f.close()
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# markdown = markdownify.markdownify(html_struct, heading_style="ATX")
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# f = open('sd-concepts-library.md', 'w')
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# f.write(markdown)
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# f.close()
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