Maintainer: hollowstrawberry

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Last updated 5/28/2024


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Stable Diffusion is a very powerful AI image generation software you can run on your own home computer. It uses "models" which function like the brain of the AI, and can make almost anything, given that someone has trained it to do it. The biggest uses are anime art, photorealism, and NSFW content.

The images you create may be used for any purpose, depending on the used model's license. Whether they are "yours" in a legal sense varies by local laws and is often inconclusive. Neither I or any of the people involved in Stable Diffusion or its models are responsible for anything you make, and you are expressively forbidden from creating illegal or harmful content.

This guide was finished in March 2023 and was last revised in March 2024. One month is like a year in AI time, so hopefully it is still useful by the time you read it.

Local Installation (Windows + Nvidia)

To run Stable Diffusion on your own computer you'll need a graphics card. An old one with 2 GB of VRAM might just be enough for slow small images, while 4 GB of VRAM is enough for slow XL generations, and 6 and 8 GB of VRAM being even better. I will only cover the case where you are running Windows 10/11 and using an NVIDIA graphics card series 16XX, 20XX, 30XX, or 40XX (though 10XX also work). My apologies to AMD, Linux, and Mac users, but their cases are harder to cover. If you don't meet the hardware requirements, you may look for online alternatives, which I won't cover anymore.

  1. Get the latest Stable Diffusion Webui Forge installer from here.

  2. Unzip the installer in an easy and accessible location, and run update.bat.

  3. After it is done, run run.bat. It will continue to install and it will also download a decent AI model for you to use.

  4. After everything is finished, it will open a window in your browser. If it doesn't automatically do this, you can type localhost:7860 in your browser window.

  5. The page is now open. It's your own private website. The starting page is where you can make your images. But first, we'll go to the Settings tab. There will be sections of settings on the left.

    • In the
      Stable Diffusion
      section, scroll down and increase Clip Skip from 1 to 2. This is said to produce better images, specially for anime.
    • In the
      User Interface
      section, scroll down to Quicksettings list and change it to sd_model_checkpoint, sd_vae
    • Scroll back up, click the big orange Apply settings button, then Reload UI next to it.
  6. You are more than ready to generate some images, but you only have one AI model available, which might not be able to generate what you want. Also, what are all of these options? See below to get started.

Getting Started

Before or after generating your first few images, you will want to take a look at the information below to improve your experience and results.
If you followed the instructions above, the top of your page should look similar to this:

[object Object]

Here you can select your checkpoint and VAE. We will go over what these are and how you can get some.

  1. Models

    The model, also called checkpoint, is the brain of your AI, designed for the purpose of producing certain types of images. There are many options, most of which are on civitai. But which to choose? These are my recommendations:

    • For anime, MeinaMix and its family of models should serve most purposes very well. I also personally enjoy Based66.
    • For general art go with DreamShaper, there are few options quite like it in terms of creativity. An honorable mention goes to Pastel Mix, which has a beautiful and unique aesthetic with the addition of anime.
    • For photorealism go with Deliberate. It can do almost anything, but specially photographs. Very intricate results.
    • The Uber Realistic Porn Merge is self-explanatory.

    Nowadays there are also XL models. They are larger and slower and use more memory, but they can often create better images.

    • For XL anime, as of March 2024 we use AutismMix.
    • I have not tried realism in XL yet, so I can't recommend models for those. See what you can find!

    The models normally go into the webui/models/Stable-diffusion folder.

    Please note that checkpoints in the format .safetensors are safe to use while .ckpt may contain viruses, so be careful. Additionally, when choosing models you may have a choice between fp32, fp16 and pruned. They all produce the same images within a tiny margin of error, so just go with the smallest file (pruned-fp16).

    Tip: Whenever you place a new file manually you can either restart the UI at the bottom of the page or press the small button next to its dropdown.

  2. VAEs

    Most checkpoints don't come with a VAE built in. The VAE is a small separate model, which "converts your image into human format". Without it, you'll get faded colors and ugly eyes, among other things.

    Most people use one of 3 different VAEs:

    • anything vae, also known as the orangemix vae. Used to be the most popular for anime, but it's the least vibrant of all vaes.
    • vae-ft-mse, the latest from Stable Diffusion itself. Used by photorealism models and such.
    • kl-f8-anime2, also known as the Waifu Diffusion VAE, it is older and produces more saturated results.

    And for SDXL you should use the sdxl-vae.

    The VAEs normally go into the webui/models/VAE folder.

    If you did not follow this guide up to this point, you will have to go into the Settings tab, then the Stable Difussion section, to select your VAE.

    Tip: Whenever you place a new file manually you can either restart the UI at the bottom of the page or press the small button next to its dropdown.

  3. Prompts

    On the first tab, txt2img, you'll be making most of your images. This is where you'll find your

    negative prompt
    Stable Diffusion is not like Midjourney or other popular image generation software, you can't just ask it what you want. You have to be specific.
    Most people have found a prompt that works for them and they swear by it, often recommended by other people. I will show you my own personal example of a prompt and negative prompt:

    Revision: These generic prompts have become less and less useful, as modern models don't really need them to work nicely. A simple negative prompt is often all you need.

    • Anime

      • 2d, masterpiece, best quality, anime, highly detailed face, highly detailed background, perfect lighting
      • EasyNegative, worst quality, low quality, 3d, realistic, photorealistic, (loli, child, teen, baby face), zombie, animal, multiple views, text, watermark, signature, artist name, artist logo, censored
    • Photorealism

      • best quality, 4k, 8k, ultra highres, raw photo in hdr, sharp focus, intricate texture, skin imperfections, photograph of
      • EasyNegative, worst quality, low quality, normal quality, child, painting, drawing, sketch, cartoon, anime, render, 3d, blurry, deformed, disfigured, morbid, mutated, bad anatomy, bad art
    • EasyNegative: The negative prompts above use EasyNegative, which is an

      or "magic word" that encodes many bad things to make your images better. Otherwise you'd have to use a huge negative prompt.

      • You will have to download this tiny file, put it in your webui/embeddings folder, then go to the bottom of your WebUI page and click
        Reload UI
        . It will then work when you type that word.

    A comparison with and without these negative prompts including EasyNegative can be seen further down .

    [object Object]

    After a "base prompt" like the above, you may then start typing what you want. For example young woman in a bikini in the beach, full body shot. Feel free to add other terms you don't like to your negatives such as old, ugly, futanari, furry, etc.

    One important technique when writing prompts are emphasis and de-emphasis. When you surround something in (parentheses), it will get more emphasis or weight in your resulting image, basically telling the AI that part is more important. The normal weight for every word is 1, and each parentheses will multiply by 1.1 (you can use multiple). You can also specify the weight yourself, like this: (full body:1.4). You can also go below 1 to de-emphasize a word: [brackets] will multiply by 0.9, but you'll still need parentheses to go lower, like (this:0.5).

    Also note that hands and feet are famously difficult for AI to generate. Models have become better at them over time, but you may need to do photoshopping, inpainting, or advanced techniques with ControlNet to get it right.

  4. Generation parameters

    The rest of the parameters in the starting page will look something like this:

    [object Object]

    • Sampling method: This is the algorithm that formulates your image, and each produce different results. The default of Euler a is often the best. There are also very good results for DPM++ 2M Karras and DPM++ SDE Karras. See below for a comparison.
    • Sampling steps: These are "calculated" beforehand, and so more steps doesn't always mean more detail. I always go with 30, you may go from 20-50 and find consistently good results. See below for a comparison.
    • Width and Height: 512x512 is the default, and you should almost never go above 768 in either direction as it may distort and deform your image. To produce bigger images see Hires fix.
    • Batch Count and Batch Size: Batch
      is how many images your graphics card will generate at the same time, which is limited by its VRAM. Batch
      is how many times to repeat that batch size. Batches have consecutive seeds, more on seeds below.
    • CFG Scale: "Lower values produce more creative results". You should almost always stick to 7, but 4 to 10 is an acceptable range.
    • Seed: A number that guides the creation of your image. The same seed with the same prompt and parameters produces the same image every time, except for small details and under some circumstances.

    Hires fix: Lets you create larger images (specially in non-XL models) without distortion. Often used at 2x scale. When selected, more options appear:

    • Upscaler: The algorithm to upscale with. Latent and its variations produce creative and detailed results, but you may also like R-ESRGAN 4x+ and its anime version. More explanation and some comparisons further down .
    • Hires steps: I recommend at least half as many as your sampling steps. Higher values aren't always better, and they take a long time, so be conservative here.
    • Denoising strength: The most important parameter. Near 0.0, no detail will be added to the image. Near 1.0, the image will be changed completely. I recommend something between 0.2 and 0.6 depending on the image, to add enough detail as the image gets larger, without
      any original details you like.

    Script: Lets you access useful features and extensions, such as X/Y/Z Plot which lets you compare images with varying parameters on a grid. Very powerful.

    Here is a comparison of a few popular samplers and various sampling steps:

    (Click) Sampler comparison - Photography

    [object Object]

    (Click) Sampler comparison - Anime

    [object Object]

    An explanation of the samplers used above: Euler is a basic sampler. DDIM is a faster version, while DPM++ 2M Karras is an improved version. Meanwhile we have Euler a or "ancestral" which produces more creative results, and DPM++ 2S a Karras which is also ancestral and thus similar. Finally DPM++ SDE Karras is the slowest and quite unique. There are many other samplers not shown here but most of them are related.


Stable Diffusion WebUI
supports extensions to add additional functionality and quality of life. These can be added by going into the Extensions tab, then Install from URL, and pasting the links found here or elsewhere. Then, click
and wait for it to finish. Then, go to Installed and click
Apply and restart UI

[object Object]

Here are some useful extensions.

  • ADetailer - Improves the faces or other features of your generated images by refining those details.
  • Infinite image browser - This will let you browse your past generated images very efficiently, as well as directly sending their prompts and parameters back to txt2img, img2img, etc.
  • TagComplete - Absolutely essential for anime art. It will show you the matching booru tags as you type. Anime models work via booru tags, and prompts without them usually don't work, so knowing them is godmode. Not all tags will work well in all models though, specially if they're rare.
  • Dynamic Prompts - A script to let you generate randomly chosen elements in your image, among other things.
  • Model Converter - Lets you convert most 7GB/4GB models down to 2GB, by choosing safetensors, fp16, and no-ema. These pruned models work "almost the same" as the full models, which is to say, there is no appreciable difference due to math reasons. Most models come in 2 GB form nowadays regardless.
  • ControlNet and other useful extensions now come preinstalled in Stable Diffusion Webui Forge.


LoRA or

Low-Rank Adaptation
is a form of Extra Network and the latest technology that lets you append a sort of smaller model to any of your full models. They are similar to embeddings, one of which you might've seen earlier , but Loras are larger and often more capable. Technical details omitted.

Loras can represent a character, an artstyle, poses, clothes, or even a human face (though I do not endorse this). Checkpoints are usually capable enough for general work, but when it comes to specific details with little existing examples, you'll need a Lora. They can be downloaded from civitai or elsewhere (NSFW) and are usually between 9 MB and 144 MB. Note that bigger Loras are not necessarily better. They come in .safetensors format, same as most checkpoints.

Place your Lora files in the webui/models/Lora folder. Then, look for the

Show extra networks
button below the big orange Generate button. It will open a new section either directly below or at the very bottom. Click on the Lora tab and press the Refresh button to scan for new Loras. When you click a Lora in that menu it will get added to your prompt, looking like this: <lora:filename:1>. The start is always the same. The filename will be the exact filename in your system without the .safetensors extension. Finally, the number is the weight, like we saw earlier . Most Loras work between 0.5 and 1 weight, and too high values might "fry" your image, specially if using multiple Loras at the same time.

[object Object]

An example of a Lora is Thicker Lines Anime Style, which is perfect if you want your images to look more like traditional anime.

There are other types of Lora under the umbrella term Lycoris, but webui treats them the same now, and you don't need to know much about it as the end user.


As mentioned in Generation Parameters , normally you shouldn't go above 768 width or height when generating an image. Instead you should use Hires fix with your choice of upscaler and an appropiate denoising level. Hires fix is limited by your VRAM however, so you may be interested in Ultimate Upscaler to go even larger.

You can download additional upscalers and put them in your stable-diffusion-webui/models/ESRGAN folder. They will then be available in Hires fix, Ultimate Upscaler, and Extras.

  • A few notable ones can be found here.
  • LDSR is an advanced yet slow upscaler, its model and config can be found here and both must be placed in stable-diffusion-webui/models/LDSR.
  • This upscaler model database contains a ton of possible choices.

Here are some comparisons. All of them were done at 0.4 denoising strength. Note that some of the differences may be completely up to random chance.

(Click) Comparison 1: Anime, stylized, fantasy

[object Object] [object Object] (Click) Comparison 2: Anime, detailed, soft lighting

[object Object] [object Object] (Click) Comparison 3: Photography, human, nature

[object Object] [object Object]


Scripts can be found at the bottom of your generation parameters in txt2img or img2img.

  • X/Y/Z Plot

    Capable of generating a series of images, usually with the exact same seed, but varying parameters of your choice. Can compare almost anything you want, including different models, parts of your prompt, sampler, upscaler and much more. You can have 1, 2, or 3 variable parameters, hence the X, Y and Z.

    Your parameters in X/Y/Z Plot are separated by commas, but anything else can go inbetween. The most common parameter to compare is S/R Prompt, where the first term is a phrase in your prompt and each term afterwards will replace the original. Knowing this, you can compare, say, Lora intensity, like this:

    <lora:my lora:0.4>, <lora:my lora:0.6>, <lora:my lora:0.8>, <lora:my lora:1>

    Here I made a comparison between different models (columns) and faces of different ethnicities via S/R Prompt (rows):

    (Click) X/Y/Z Plot example

    [object Object]

    Tip: It appears possible to do S/R with commas by using quotes like this (note no spaces between the commas and quotes): "term 1, term 2","term 3, term 4","term 5, term 6"

  • Prompt Matrix

    Similar conceptually to S/R from before, but more in-depth. It works by showing each possible combination of terms listed between the | symbol in your prompt, for example: young man|tree|city will always contain "young man", but we'll see what happens when we add or remove "tree" and "city". You can use commas and spaces just fine between the |.

    Inside the script, you will choose either your prompt or your negative prompt to make a matrix of, and whether the variable terms should be put at the start or the end.

    Here is a comparison using the negative prompts I showed you in Prompts . We can see how EasyNegative affects the image, as well as how the rest of the prompt affects the image, then both together:

    (Click) Prompt matrix examples

    [object Object] [object Object]

    Tip: When using prompt matrix, the Batch Size will let you generate multiple images or the whole grid all at once.

  • Ultimate Upscaler

    An improved version of a builtin script, it can be added as an extension and used from within img2img. Its purpose is to resize an image and add more detail way past the normal limits of your VRAM by splitting it into chunks, although slower. Here are the steps:

    1. Generate your image normally up to 768 width and height, you can then apply hires fix if you are able to.

    2. From txt2img or the Image Browser extension send it directly into img2img, carrying its prompt and parameters.

    3. Set the Denoising somewhere between 0.1 and 0.4. If you go higher you most likely will experience mutations.

    4. Go down to Scripts and choose Ultimate SD Upscale. Then, set your parameters like this, with your desired size and upscaler, and the "Chess" Type:

      [object Object]

      • If you have enough VRAM, you may increase the Tile width as well as the Padding. For example, doubling both of them. Tile height can remain at 0 and it'll match the width.

      • It is not necessary to set the Seams fix unless you encounter visible seams between regions in the final image.

    5. Generate your image and wait. You can watch the squares get sharper if you have image previews enabled.


ControlNet is an extremely powerful technology for Stable Diffusion. It lets you analyze information about any previously existing image and use it to guide the generation of your AI images. We'll see what this means in a moment.

If you're using the Webui Forge recommended in this guide, you should already have ControlNet installed. You may need ControlNet models; go here to download some models which you'll need to place in webui/extensions/sd-webui-controlnet/models. I recommend at least Canny, Depth, Openpose and Scribble, which I will show here.

I will demonstrate how ControlNet may be used. For this I chose a popular image online as our "sample image". It's not necessary for you to follow along, but you can download the images and put them in the PNG Info tab to view their generation data.

First, you must scroll down in the txt2img page and click on ControlNet to open the menu. Then, click

, and pick a matching
. To start with, I chose Canny for both. Finally I upload my sample image. Make sure not to click over the sample image or it will start drawing. We can ignore the other settings.

[object Object]

  • Canny

    The Canny method extracts the hard edges of the sample image. It is useful for many different types of images, specially where you want to preserve small details and the general look of an image. Observe:

    (Click) Canny example

    [object Object] [object Object]

  • Depth

    The Depth method extracts the 3D elements of the sample image. It is best suited for complex environments and general composition. Observe:

    (Click) Depth example

    [object Object] [object Object]

  • Openpose

    The Openpose method extracts the human poses of the sample image. It helps tremendously to get the desired shot and composition of your generated characters. Observe:

    (Click) Openpose example

    [object Object] [object Object]

  • Scribble

    Lets you make a simple sketch and convert it into a finished piece with the help of your prompt. This is the only example not using the sample image above.

    (Click) Scribble example

    [object Object] [object Object]

You will notice that there are 2 results for each method except Scribble. The first is an intermediate step called the

preprocessed image
, which is then used to produce the final image. You can supply the preprocessed image yourself, in which case you should set the preprocessor to
. This is extremely powerful with external tools such as Blender and Photoshop.

In the Settings tab there is a ControlNet section where you can enable

multiple controlnets at once
. One particularly good use is when one of them is Openpose, to get a specific character pose in a specific environment, or with specific hand gestures or details. Observe:

(Click) Openpose+Canny example

[object Object]

You can also use ControlNet in img2img, in which the input image and sample image both will have a certain effect on the result. I do not have much experience with this method.

There are also alternative diff versions of each ControlNet model, which produce slightly different results. You can try them if you want, but I personally haven't.

Lora Training for beginners

To train a Lora is regarded as a difficult task. However, my new guide covers everything you need to know to get started for free, thanks to Google Colab:

Read my Lora making guide here

You can also train a Lora on your own computer if you have at least 6 GB of VRAM (or 12 GB of VRAM for XL). For that, I will list a few resources below:

  • For training, use Derrian's Easy Lora trainer. It has all the same settings as my trainer colab and more, so you can follow my guide too.
  • Also, here's an angry Lora training guide by ao
  • To collect your images from Gelbooru like in my guide, install Grabber.
  • To tag your dataset use the WD1.4 Tagger extension for webui. First add and enable the extension, and restart your entire webui. Then go to the new Tagger tab, then Batch from directory, and select the folder with your images. Set the output name to [name].txt and the threshold at or above 0.35 (this is how closely each tag must match an image to be included). Then Interrogate and it will start generating your text files.
  • To curate your tags like in my guide use the Tag Editor extension for webui. It has all the features you need like sorting, pruning, replacing and merging tags. To add an activation tag it's as follows: After adding the extension and restarting your webui, go to the new Dataset Tag Editor tab then Batch Edit Captions. Turn off "
    Show only the tags...
    ", turn on "
    Prepend additional tags
    ", then add your activation tag inside the Edit Tags text box. Then apply your changes, scroll up and save your changes. Only then will it modify your files and add a new tag at the beginning of every text file.


That's it, that's the end of this guide for now. I'd be grateful if you want to contribute on missing topics like:

  • img2img
  • Inpainting

Thank you for reading!

I have a separate repo that aggregates vtuber Loras, specially Hololive. If you're interested in that.


This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!