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+#->`--RETARD'S GUIDE TO TEXTUAL INVERSION--`<-#
+->*Quitters never win, and winners never quit.*<-
+
+Textual inversion allows you to train data sets of specific styles or things, which will then be tied to a specific word. It does this without affecting how the model file works as a whole, allowing you to inject keyword shortcuts. If that doesn't excite you, let me put it another way - 
+This lets you tie a keyword to specific people, things, places, or art styles in Stable Diffusion that you otherwise would be unable to directly reference. It's a game changer.
+
+==**If you'd prefer to run the trainer locally:**==
+You can do so using [**this repo**](https://github.com/huggingface/diffusers/tree/main/examples/textual_inversion)
+However this guide is for training on Colab, so you may have to figure out some things yourself.
+(Also local Textual Inversion requires at least 12gb of vram at a minimum)
+
+!!!note In the beginning...
+**NOTE: You will need Stable Diffusion installed before proceeding, follow the recommended setup guide [**HERE**](https://rentry.org/voldy)
+
+**STEP 1:**  In file explorer, navigate to your root stable diffusion directory (`/stable-diffusion-webui`). 
+Create a new folder in this location called `embeddings` (If there isn't one already)
+
+**STEP 2:** Visit the [Stable Diffusion Concept Library](https://huggingface.co/sd-concepts-library) and pick any model.
+After selecting the one you wish to install, open a git bash in your `/embeddings` folder and type `git clone` followed by the model URL
+eg. `git clone https://huggingface.co/sd-concepts-library/bonzi-monkey`
+
+**STEP 3:** Enter the directory for the model you just downloaded. 
+Open `token-identifier.txt` and copy the contents, ignoring the < > (you need to enter them when you put the token into your prompt, but the file name is irrelevant to that).
+
+**STEP 4:** Right click on learned_embeds.bin, click rename, paste what you copied out of token-identifier.txt, and hit enter
+
+**STEP 5:** Move this newly renamed `.bin` file to the `/embeddings` directory. Feel free to delete the directory you cloned for the model once you have moved the `.bin` file out of it.
+
+**Step 6:** Launch Voldy's SD and make sure your newly added model works.
+ Pay attention to the name of the `.bin`, That's the keyword which tells Stable Diffusion to use it. 
+Use the name within `<  >` brackets, alongside normal prompts:
+Example prompt: `<bonzi-monkey>, photorealistic, oil painting, vintage`
+==Enjoy!==
+!!!note But I want to make my own!
+
+**Step 1:** Once you've figured out what you want to integrate, pick 3-5 photos of your selection, and crop them down into square images, preferably **512x512**
+
+**Step 2:** Upload your photos to a publicly accessible database. 
+[Imgur](https://imgur.com) allows for hidden photos with a publicly accessible link
+
+**Step 3:** Go to the [Textual Inversion Colab](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_textual_inversion_training.ipynb#scrollTo=Yl3r7A_3ASxm) and follow the step by step instructions to run the model training, clicking the play button to the left at each new portion.
+For your image files, make sure whatever you're inputting is the **direct link** ending in `.jpg`, .`png`, or something of the like. 
+!!! info Make sure you have a [Huggingface](https://huggingface.co/join) account. The Colab will give you a link to generate your token code, when you follow it, generate a **write code**
+
+**Step 4:** Once the training has fully run, click the folder on the left side of the screen. 
+Click `sd-concept-output`, click the three dots to the right of `learned_embeds.bin`, click download. 
+Once the file has downloaded, rename it to whatever you provided as your placeholder token.
+
+**Step 5:** Move this newly renamed `.bin` file to the `/embeddings` directory.
+
+**Step 6:** Launch Voldy's SD and make sure your newly added model works.
+==Have fun!==