Sdxl Lora Training Guide 2024 April Colab Updated Civitai

Notebook: https://github.com/MushroomFleet/unsorted-projects/blob/main/240406_V100_hollowstrawberry_Lora_Trainer_XL.ipynbclick the "open in colab" buttonWe will be using my forked notebook originally developed by HollowstrawberryYou must specify a Project name, eg "myLora" Then in Google Drive create "Loras" and then inside "myLora" to match your project name. Inside create the "dataset" folder, which will hold the image/text pairs.google drive dataset path: Datasets should be matching pairs of images with text files of matching filenames.The text files contain the captions for the image they are paired with. if you have subsets, you can enable "recursive" under buckets and latents caching, this will read the contents of all the folders in your dataset path.I have preset the Fork to work well with... This will run well on a V100 instance, that should be accessible on the Free Tier.

Be aware that a lot of images takes a lot of time, and you will be kicked for inactivity on free tier. Add your project as described then adjust the image repeats according to the instruction. This is the bare minimum to start a training. Personally i train A100 at batch 30, so my exact settings may not be suitable for a T4. You should always adjust the Learning Rate with your Batch size. If you lower the Batch size, make sure to lower the Learning Rate while increasing the Epoch's.

The LR adjustment is dependent on what you are training, so the tuning is to your taste. A solid starting point is provided with the April Fork. Given the low cost to train (for me about 1000 buzz = $1) I moved over to the CivitAI LoRA trainer as I can leave a few jobs going without the need for my... Please see my original SDXL lora training guide for local pc training to read up on the dataset preparation. The below is an addendum to the dataset prep in my original lora training guide. So CivitAI has a maximum bucket resolution of 2048 x 2048.

Any pictures you add beyond this resolution kick up an error and you cannot progress . Therefore, for any dataset pictures I have which are SUPER high res, there is https://imageresizer.com/ where you can reduce your picture size (use the percentage resize option and reduce until your image is under... Updating constantly to reflect current trends, based on my learnings and findings - please note that for ease of use for people who are not neurodivergent: I will not be re-translating this to "proper... If you don't like my crazy lingo, that's on you to find another article! Also removed a few PG-13 pictures because some people have safety filters on and I don't want to sit there and mince words on how something isn't PG or pG 13 to a credit... This update features significant rewrites and omits some outdated information, showcasing more recent training methodologies.

Please note, this guide reflects my personal opinions and experiences. If you disagree, that's okay—there's room for varied approaches in this field. There are metadata examples of recent SDXL and Pony as well as Illustrious Lora trains using Xypher's metadata tool linked below. Original Article was written in August of 2023. The original SD 1.5 and XL information has since been removed. This is to keep up with clarification and current trends and updates in my own learning.

This was because the SDXL findings were based on incorrect and currently drummed into LLM's findings - because of a certain "PHD IN MACHINE LEARNING" dude that consistently forces his rhetoric by paywalling content. I'm not here to start a fight over that, you do you boo! We cannot provide 100% tutorials for ALL of the listed tools, except for the one that we're developing. We're developing a Jupyter Offsite tool: https://github.com/Ktiseos-Nyx/Lora_Easy_Training_Jupyter/ Note 1: Like this guide? Consider tipping this article some buzz or consider supporting or commissioning me at https://www.patreon.com/MetalChromeX or http://www.fiverr.com/s/VY34o4m so I can continue making cute anime girl models (and hopefully better pay off the crippling college debt...

Comments with constructive suggestions to improve this article are welcome! Have you become proficient at designing images and would like to create models? Maybe you've dabbled in making character models directly on CivitAI and would like an alternative option. If so, here is a pretty straightforward method that works quite well. The best part is that it doesn't require a high-end PC! I'd consider this guide a spiritual part 2 to the 'A simple, beginner's guide on training character LoRA using CivitAI's trainer' guide I wrote (see the link above).

I'd make sure you skim it over and be familiar with the contents, as there is overlap that I'll only briefly skim over with the assumption you are familiar with the basics. Additionally, I'd like to dedicate this guide to fellow creator and internet friend Rule34Diffusion, as this guide is based mainly on what they taught me about this method (with my own thoughts and takes... A PC. It doesn't need to be particularly powerful; it just needs to be reliable and with internet capabilities (i.e., most modern PCs) A dataset. If you do not know what this means, see my 'A simple, beginner's guide on training character LoRA using CivitAI's trainer' article.

UPDATE: https://civitai.com/articles/4121/sdxl-lora-training-guide-2024-feb-colabNew article for 2024 with colab link and video walkthrough :)If you want to train SDXL Lora feel free to use my Fork of Linaqrufs trainer:https://github.com/MushroomFleet/unsorted-projects/blob/main/Johnsons_fork_230727_SDXL_1_0_kohya_LoRA_trainer_XL.ipynbYou gotta put in your huggingface token as... After that remember to set the filename for your Lora. The Notebook is currently setup for A100 using Batch 30. Using V100 you should be able to run batch 12. Using T4 you might reduce to 8. Keep in mind you will need more than 12gb of system ram, so select "high system ram option" if you do not use A100.The defaults you see i have used to train a bunch...

so when it updates, you must go to the Authors site which is linked in the Notebook. UPDATE: https://civitai.com/articles/4121/sdxl-lora-training-guide-2024-feb-colabNew article for 2024 with colab link and video walkthrough :)https://colab.research.google.com/github/Linaqruf/kohya-trainer/blob/main/kohya-LoRA-trainer-XL.ipynb Linaqruf has a version available you can use to train these LORA: Kohya's LoRA renamed to LoRA-LierLa and Kohya's LoCon renamed to LoRA-C3Lier, read official announcement. https://github.com/kohya-ss/sd-scripts/blob/849bc24d205a35fbe1b2a4063edd7172533c1c01/README.md#naming-of-lora I found that using the T4 GPU you can train batch 8 at 1024,1024 you mileage may very depending on the choices you make.

This is my current training flow: https://rentry.co/sdxl-lora-training Since those require more VRAM than I have locally, I need to use some cloud service. So this is SDXL Lora + RunPod training which probably will be something that the majority will be running currently. I want(ed) a video companion guide and I might still do it, but after I get some feedback. I usually watch some tutorials rather than read articles but both versions are fine. This time the text version is much more extensive than previously so you should be able to follow it along much easier :)

Enjoy and please leave some feedback in the comments :-) Update - 28/02/24 - There is a new mix model, instead of the Pony model. I have updated links. Going to keep this brief because I'm too lazy to make a full writeup. This model and training method far surpasses anything we've seen with NovelAI from 2023. It trains at 1024x1024 based on SDXL.

You can refer to https://civarchive.com/models/62125/lora-lazy-training-guide for tagging etc. Refer to https://github.com/bmaltais/kohya_ss for the kohya link. Download https://civarchive.com/models/288584/autismmix-sdxl

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