Note: additionThese options may differ for other graphics card models.

The time taken to othergenerate flags,1024x1024 img2img was 1m 16.33s, and the1024x1024 modelhires willfix takewas much1m more39s. spaceGenerating inbase VRAMimages

->==-----LINKS-----==<-10-20s.

• SD resource link hub
• Artist list with pictures
• Check out the wiki https://wiki.installgentoo.com/wiki/Stable_Diffusion
• Inpainting Tips
• Anon's guide for anime vectors (Waifu Diffusion)
• Textual Inversion guide
• Remacri Upscaler(Landscapes) Lollypop Upscaler(Anthropomorphic Figures)
• Other Upscaler Models (Place upscaler models in ESRGAN folder)
• Trinart Alternate .cpkt (Pixiv-esque illustrations, not as cohesive as waifu diffusion)
• Build great aesthetic prompts using the prompt builder
• Japanese keywords: https://chara-zokusei.jp/question_list
• Use Darkreader to change your Gradio theme to dark mode
• Informal Training guide (30gb vram+)
• Stable diffusion WebUI repo
• Waifu Diffusion huggingface page

->==-----TROUBLESHOOTING-----==<-

• Make sure you have the latest CUDA toolkit and GPU drivers you can run
• if your version of Python is not in PATH (or if another version is) create or modify webui.settings.bat in the root folder (same place as webui.bat) add the line set PYTHON=python to say the full path to your python executable: set PYTHON=B:\soft\Python310\python.exe You can do this for python, but not for git.
• The installer creates a python virtual environment, so none of installed modules will affect your system installation of python if you had one prior to installing this.
• To prevent the creation of virtual environment and use your system python, edit webui.bat replacing set VENV_DIR=venv with set VENV_DIR=
• webui.bat installs requirements from files requirements_versions.txt, which lists versions for modules specifically compatible with Python 3.10.6. If you choose to install for a different version of python, editing webui.bat to have set REQS_FILE=requirements.txt instead of set REQS_FILE=requirements_versions.txt may help (but I still reccomend you to just use the recommended version of python).
19. If yousomething feeldoes younot brokework, somethingcheck the Torch, torchvision, and wanttorchaudio toversion reinstall from scratch, delete directories: venv, repositories.
20. If your output is a jumbled rainbow mess your image resolution is set TOO LOW
21. Having too high of a CFG level will also introduce rainbow distortion, your CFG shouldn't be set above 20
22. On older systems, you may have to change cudatoolkit=11.3 to cudatoolkit=9.0
23. Make sure your installation is on the C: drive
24. This guide is designed for NVIDIA GPUs only, as stable diffusion requires cuda cores. AMD users should try THIS GUIDE

->==-----TIPS-----==<-

• The Waifu model and normal .cpkt have their own pros and cons; Non-anime promps donenumbers with the waifu .cpkt will be biased toward anime stylization, making realistic faces and people more difficultcommand:
• Hover over

  pip UIlist elements| forgrep informative'torch'
  tooltips

• The outpaintingversion scriptnumbers requiresshould HIGHhave DENOISINGROCM totagged work properly (eg. 0.9) Outpainting benefits from high steps

• Use ((( ))) around keywords to increase their strength and [[[ ]]] to decrease their strength
• Save prompt as style allows you to save a prompt as an easily selectable output. A box to select will appear toat the leftend.
  of Roll

  Usage after youinstall

  save

  Every your first style, allowing you to make a selection. Prompts can be deleted by accessing styles.csv (This can be helpful if you find a combination that generations really good images and want to repeatedly use it with varied subjects.)

• You can drag your favorite result from the output tab on the right back into img2img for further iteration
• The k_euler_a and k_dpm_2_a samplers give vastly different, more intricate results from the same seed & prompt
• Unlike other samplers, k_euler_a can generate high quality results from low steps. Try it with 10-25 instead of 50
• The seed for each generated result is in the output filename iftime you want to revisitlaunch it
stable
• Usingdiffusion, go back to the venv where all dependencies are installed with the following commands:

  cd stable-diffusion-webui
  python -m venv venv 
  source venv/bin/activate
  python launch.py --opt-sub-quad-attention --medvram --disable-nan-check --always-batch-cond-uncond --no-half
  

  Watch out for VRAM usage and system temps with the following commands:

  sudo radeontop
  watch -n 1 sensors
  

  Adjust your fan curve if your temps are too high (70C).

  In this youtube video, I show the process of generating images with high details and a 4K end size using the same keywords as a generated image in img2img produces interesting variants

• It's recommended to have your prompts be at least 512 pixels in one dimension, or a 384x384 square at the smallest Anything smaller will have heavy artifacting
• 512x512 will always yield the most accurate results as the model was trained at that resolution
• Try Low strength (0.3-0.4) + High CFG in img2img for interesting outputs
• You can use Japanese Unicode characters in prompts

->==-----Launching Different Models-----==<-

If you have multiple models installed and you want to switch between them conveniently, you can make another .bat

• Make a copy of webui-user.bat and name it whatever you want
• After  COMMANDLINE_ARGS=, add --ckpt followed by the desired model to your launch parameters: eg: COMMANDLINE_ARGS=--ckpt wd-v1-2-full-emma.ckpt

->==-----Pruning Waifu .cpkt-----==<-

The Waifu diffusion model is normally 7gb due to redundant training data, but it can be reduced to 3.6gb without any loss of quality, reducing ram usage and loading time drastically

• Download https://github.com/harubaru/waifu-diffusion/blob/main/scripts/prune.py
• Edit the last line in prune.py to the path of your waifu-diffusion ckpt, then run python prune.py in cmd from your main folder, You will now have a pruned .ckpt

->==-----Changing UI Defaults-----==<-

• After running once, a ui-config.json file appears in webui master directory: Edit values to your liking and the next time you launch the program they will be applied.

->==-----Auto-update-----==<- Note: This only applies to those who used git clone to install the repo, and not those who used the .zip You can set your script to automatically update by editing webui-user.bat Add git pull one line above call webui.bat Save ->==-----Running Online-----==<-

• Use --share option to run online. You will get a xxx.app.gradio link. This is the intended way to use the program in collabs.
• Use --listen to make the server listen to network connections. This will allow computers on local newtork to access the UI, and if you configure port forwarding, also computers on the internet.
• Use --port xxxx to make the server listen on a specific port, xxxx being the wanted port. Remember that all ports below 1024 needs root/admin rights, for this reason it is advised to use a port above 1024. Defaults to port 7860 if available.

->==-----Enabling Negative Prompts-----==<-

Negative prompts are a powerful tool to remove unwanted features and elements from your generations They should be enabled by default, but if not:

• Edit webui-user.bat
• After  COMMANDLINE_ARGS=, add --show-negative-prompt to your launch parameters: COMMANDLINE_ARGS=--show-negative-prompt

!!! info RUNNING ON WINDOWS 7/CONDA ==(You can also try this method if the traditional install isn't working)== Windows 7 does not allow for directly installing the version of Python recommended in this guide on it's own. However, it does allow for installing the latest versions of Python within Conda:

• Follow all the same steps from the main guide, up to Step 5

• Download Miniconda HERE. Download Miniconda 3

• Install Miniconda in the default location. Install for all users. Uncheck "Register Miniconda as the system Python 3.9" unless you want to

• Open Anaconda Prompt (miniconda3)

• In Miniconda, navigate to the /stable-diffusion-webui-master folder wherever you downloaded using "cd" to jump folders. (Or just type "cd" followed by a space, and then drag the folder into the Anaconda prompt.)

• Type the following commands to make an environment and install the necessary dependencies:

• conda create --name qwe (You can name it whatever you want instead of qwe)

• conda activate qwe

• conda install python

• conda install git

• webui.bat (Note: it may seem like it's stuck on "Installing torch" in the beginning. This is normal and should take 10-15 minutes) ==It should now be ready to use==

• ==NOTE:== On Windows 7, you may get "api-ms-win-core-path-l1-1-0.dll is missing" in Conda. This is because new versions of Python and programs that rely on Python (Like Blender, etc.) require a system file only present in newer versions of Windows Luckily, it has been backported to be compatible with W7, and can be downloaded HERE (Github page) Upzip and copy the x86 .dll into C:\Windows\SysWOW64 and the x64 .dll into C:\Windows\System32 and reboot, then Python should install successfully

RUNNING:

• Navigate to /stable-diffusion-webui-master in Miniconda
• Type conda activate qwe (You will need to type 'conda activate qwe' every time you wish to run webui)
• Type webui-user.bat
• After loading the model it should give you a LAN address such as '127.0.0.1:7860' Enter the address into your browser to enter the GUI environment

!!! info EXTRAS

--OLD MODEL-- The original v1.3 leaked model from June can be downloaded here: https://drinkordiecdn.lol/sd-v1-3-full-ema.ckpt Backup Download: https://download1980.mediafire.com/3nu6nlhy92ag/wnlyj8vikn2kpzn/sd-v1-3-full-ema.ckpt Torrent Magnet: https://rentry.co/6gocs

--OLD GUIDE-- The original hlky guide (replaced as of 9/8/22) is here: https://rentry.org/GUItard Japanese hlky guide https://news.livedoor.com/article/detail/22794512/ The original guide (replaced as of 8/25/22) is here: https://rentry.org/kretard

->APPROXIMADE RENDER TIME BY GPU (50 steps)<- ->SAMPLER COMPARISON<- 8GB).