unraid_xml/sd-webUI.xml at main · yourjelly/unraid_xml · GitHub

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<?xml version="1.0"?>
<Container version="2">
  <Name>sd-webUI</Name>
  <Repository>hlky/sd-webui:runpod</Repository>
  <Registry>https://hub.docker.com/r/hlky/sd-webui</Registry>
  <Network>Bridge</Network>
  <MyIP/>
  <Shell>sh</Shell>
  <Privileged>false</Privileged>
  <Support>https://CREATE_THREAD_IN_FORUM</Support>
  <Project>https://github.com/sd-webui/stable-diffusion-webui</Project>
  <Overview>Please note that the container images is large at over 4GB &#xD;
To use it requires the Nvidia driver installation on your Unraid server for support of Docker. &#xD;
This installation needs to support the version of CUDA installed to use with this container.&#xD;
If you have multiple GPUs in your system with some allocated to VMs, make sure to replace --gpus all with --runtime=nvidia and set the NVIDIA_DRIVER_CAPABILITIES and NVIDIA_VISIBLE_DEVICES variables to only give the container access to selected GPUs.&#xD;
&#xD;
Streamlit ui for Stable Diffusion&#xD;
https://github.com/sd-webui/stable-diffusion-webui/&#xD;
This now includes all models:&#xD;
&#xD;
SD v1-4 (ckpt)&#xD;
Waifu Diffusion (ckpt)&#xD;
TrinArt (ckpt)&#xD;
ViT-L-14 (pytorch.bin, used by inference models, is usually ~1.8gb autodownload to ~/.cache/huggingface/transformers)&#xD;
SD v1-4 (diffusers, used by txt2vid and textual inversion training)&#xD;
BLIP&#xD;
CLIP models: ViT-L-14, ViT-H-14, ViT-g-14, used by img2txt&#xD;
sd-concepts-library: (nearly) 600 pre-trained concepts to use in prompts, autoloaded when the placeholder is used in the prompt.&#xD;
GFPGAN v1.4 (and other weights that would normally be autodownloaded, detection_Resnet50_Final.pth and parsing_parsenet.pth, ~185MB)&#xD;
RealESRGAN: RealESRGAN_x4plus and RealESRGAN_x4plus_anime_6B&#xD;
Latent Diffusion Super Resolution (LDSR)&#xD;
Notes:&#xD;
&#xD;
most models will unload when you use something else, atm there is a config option for img2txt.keep_all_models_loaded: False if you set this to True img2txt models (the CLIP ones, BLIP stays loaded unless you have optimized mode available) will all stay loaded, by default if a model that is loaded is no longer selected it will be unloaded&#xD;
volume path now mirrors the repo so is /sd/outputs instead of /sd/user_data/outputs</Overview>
  <Category>Productivity: MediaApp:Photos</Category>
  <WebUI>http://[IP]:[PORT:8501]</WebUI>
  <TemplateURL/>
  <Icon>https://raw.githubusercontent.com/yourjelly/unraid_xml/main/SDiconpack/SDICO2.ico</Icon>
  <ExtraParams>--gpus all</ExtraParams>
  <PostArgs>/bin/bash mv -rf /sd /appdata &amp;amp;&amp;amp; ln -s /sd /appdata</PostArgs>
  <CPUset/>
  <DateInstalled>1665156089</DateInstalled>
  <DonateText/>
  <DonateLink/>
  <Requires/>
  <Config Name="Appdata" Target="/appdata" Default="/mnt/user/appdata/sd-webui" Mode="rw" Description="" Type="Path" Display="always" Required="true" Mask="false">/mnt/user/appdata/sd-webUI</Config>
  <Config Name="Models Path" Target="/sd/models" Default="" Mode="rw" Description="Large diffusion models will be downloaded here &amp;lt;27GB" Type="Path" Display="always" Required="true" Mask="false"></Config>
  <Config Name="Output Path" Target="/sd/outputs" Default="" Mode="rw" Description="" Type="Path" Display="always" Required="true" Mask="false"></Config>
  <Config Name="WebUI Streamlit" Target="8501" Default="8501" Mode="tcp" Description="" Type="Port" Display="always" Required="true" Mask="false">8501</Config>
  <Config Name="Streamlit" Target="STREAMLIT_SERVER_HEADLESS" Default="true" Mode="" Description="" Type="Variable" Display="advanced" Required="true" Mask="false">true</Config>
  <Config Name="Streamlit Script" Target="WEBUI_SCRIPT" Default="" Mode="" Description="" Type="Variable" Display="advanced" Required="true" Mask="false">"webui_streamlit.py"</Config>
  <Config Name="Validate Diffusion Models" Target="VALIDATE_MODELS" Default="false" Mode="" Description="" Type="Variable" Display="advanced" Required="true" Mask="false">false</Config>
</Container>