mirror of
https://github.com/Sygil-Dev/sygil-webui.git
synced 2024-12-15 22:42:14 +03:00
45 lines
2.2 KiB
Python
45 lines
2.2 KiB
Python
# base webui import and utils.
|
|
from webui_streamlit import st
|
|
from sd_utils import *
|
|
|
|
# streamlit imports
|
|
|
|
|
|
#other imports
|
|
import pandas as pd
|
|
from io import StringIO
|
|
|
|
# Temp imports
|
|
|
|
|
|
# end of imports
|
|
#---------------------------------------------------------------------------------------------------------------
|
|
|
|
def layout():
|
|
#search = st.text_input(label="Search", placeholder="Type the name of the model you want to search for.", help="")
|
|
|
|
csvString = f"""
|
|
,Stable Diffusion v1.4 , ./models/ldm/stable-diffusion-v1 , https://www.googleapis.com/storage/v1/b/aai-blog-files/o/sd-v1-4.ckpt?alt=media
|
|
,GFPGAN v1.3 , ./src/gfpgan/experiments/pretrained_models , https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth
|
|
,RealESRGAN_x4plus , ./src/realesrgan/experiments/pretrained_models , https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth
|
|
,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
|
|
,Waifu Diffusion v1.2 , ./models/custom , http://wd.links.sd:8880/wd-v1-2-full-ema.ckpt
|
|
,TrinArt Stable Diffusion v2 , ./models/custom , https://huggingface.co/naclbit/trinart_stable_diffusion_v2/resolve/main/trinart2_step115000.ckpt
|
|
"""
|
|
colms = st.columns((1, 3, 5, 5))
|
|
columns = ["№",'Model Name','Save Location','Download Link']
|
|
|
|
# Convert String into StringIO
|
|
csvStringIO = StringIO(csvString)
|
|
df = pd.read_csv(csvStringIO, sep=",", header=None, names=columns)
|
|
|
|
for col, field_name in zip(colms, columns):
|
|
# table header
|
|
col.write(field_name)
|
|
|
|
for x, model_name in enumerate(df["Model Name"]):
|
|
col1, col2, col3, col4 = st.columns((1, 3, 4, 6))
|
|
col1.write(x) # index
|
|
col2.write(df['Model Name'][x])
|
|
col3.write(df['Save Location'][x])
|
|
col4.write(df['Download Link'][x]) |