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https://github.com/Sygil-Dev/sygil-webui.git
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47 lines
2.5 KiB
Python
47 lines
2.5 KiB
Python
# base webui import and utils.
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from webui_streamlit import st
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from sd_utils import *
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# streamlit imports
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#other imports
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import pandas as pd
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from io import StringIO
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# Temp imports
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# end of imports
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#---------------------------------------------------------------------------------------------------------------
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def layout():
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#search = st.text_input(label="Search", placeholder="Type the name of the model you want to search for.", help="")
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csvString = f"""
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,Stable Diffusion v1.4 , ./models/ldm/stable-diffusion-v1 , https://huggingface.co/CompVis/stable-diffusion-v-1-4-original
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,GFPGAN v1.3 , ./src/gfpgan/experiments/pretrained_models , https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth
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,RealESRGAN_x4plus , ./src/realesrgan/experiments/pretrained_models , https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth
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,RealESRGAN_x4plus_anime_6B , ./src/realesrgan/experiments/pretrained_models , https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth
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,Waifu Diffusion v1.2 , ./models/custom , https://huggingface.co/hakurei/waifu-diffusion
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,Waifu Diffusion v1.2 Pruned , ./models/custom , https://huggingface.co/crumb/pruned-waifu-diffusion
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,TrinArt Stable Diffusion v2 , ./models/custom , https://huggingface.co/naclbit/trinart_stable_diffusion_v2
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,Stable Diffusion Concept Library , ./models/custom/sd-concepts-library , https://github.com/sd-webui/sd-concepts-library
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"""
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colms = st.columns((1, 3, 5, 5))
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columns = ["№",'Model Name','Save Location','Download Link']
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# Convert String into StringIO
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csvStringIO = StringIO(csvString)
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df = pd.read_csv(csvStringIO, sep=",", header=None, names=columns)
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for col, field_name in zip(colms, columns):
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# table header
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col.write(field_name)
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for x, model_name in enumerate(df["Model Name"]):
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col1, col2, col3, col4 = st.columns((1, 3, 4, 6))
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col1.write(x) # index
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col2.write(df['Model Name'][x])
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col3.write(df['Save Location'][x])
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col4.write(df['Download Link'][x]) |