I already have some experience with colab training before as well as runpod training using Everydream and Stabletuner. Let's say that you chose the random instance keyword "sks" and use it in the instance prompt, "an sks 3D character". Big Comparison of LoRA Training Settings, 8GB VRAM, Kohya-ss. hmm, looks like it's burnt. Jun 5, 2023 · “Best” mode Select Vit-L / openai SD 2. Each of these is a different Lora saved at different epochs of your training. When training a style I use "artwork style" as the prompt. I don't have it all figured out yet. Notebook Name. My goal: To create images that can pass as act. Basic settings. LORA for subject training: amazing results! Workflow:- Choose 5-10 images of a person- Crop/resize to 768x768 for SD 2. So when you vary the background but keep the training images similar it learns the constants in the image. An over. This repository provides a Windows-focused Gradio GUI for Kohya's Stable Diffusion trainers. 3 was the best of any of the more recent tries, but I never could get the accuracy of Version 2. Specific Poses. I find 4090's to offer the best speed for training cost. Bonus: all the tables in this post were formatted with ChatGPT. Supports custom Stable Diffusion models and custom VAE models. lora_url_or_path : ". 5 on 3070 that’s still incredibly slow for a 4090. This will simply save your LoRA every 5 epochs, and will let you pick the sweet spot where your LoRA is cooked to your. Alter the config. bat) to bring up the webui which looks like the attached screenshot: Navigate to Utilities tab and within that, go to "Extract LoRA" tab. UNET is the most impactful knob on training your LoRA. Use generate-lora. Train at least 4 loras basesd on different Network DIM and Alpha settings. The training script is compute-intensive and may not run on a consumer GPU like Tesla T4. bat file so it could do them in order, but I do not do more than one lora a week, cause I take WAY to much time picking the BEST images I can find, resizing, scaling, cleaning up some that I really want. LoRA (Low-Rank Adaptation) is a method published in 2021 for fine-tuning weights in CLIP and UNet models, which are language models and image de-noisers used by Stable Diffusion. 0 to fully add LoRA. Kohya LoRA Dreambooth: LoRA Training (Dreambooth method) Kohya LoRA Fine-Tuning: LoRA Training (Fine-tune method) Kohya Trainer: Native. Training settings. Saving Settings. As your model collection grows, it becomes impractical to obtain every ckpt and VAE used to create them so you need a good generalized set to work with all checkpoints, embeddings, and LORA you install. LoRA had become the mainstream of training and basically replaced textual inversion and hypernetworks. Mixed precision: fp16. Every LoRA training tutorial I have followed recommends between 10-30 training images. Example prompt: DBfantasyart style, masterpiece, 1girl, beautiful female portrait of sorceress. Click "enable", choose a preprocessor and corresponding. This is a guide on how to train a good quality SDXL 1. The only differences being that you will need to specify a few more hyperparameters exclusive to LoRA. Here are my settings: Micro:4, batch size: 128. from diffusers import StableDiffusionPipeline import torch device = "cuda" # load model model_path = ". 5 if it's strongly discoloured) b) for sanity check, i would try the LoRA model on a painting/illustration. Open notebook settings. After about 2. So I tried to emphasis on finetuning and did search around further. - Train batch size: 2. What are the best settings for training models on faces using an RTX 4090 and 128 GB of RAM to achieve high precision? There seems to be a decent amount of content around training with low caliber resources, however are there any resources (e. Appx 5-10 each should be enough, but again, more is better, IMHO. I'm using most of holostrawberry's settings but make sure you use the. \n; 3. for # class images and training steps to get good facial training, I am interested in what people use for these. 15:31 What is Network Alpha for LoRA training. For example, it’s much easier to see a loss graph, learning rate curve, sample outputs, and pause training. Because a LoRA places a layer in the currently selected checkpoint. All well tagged with both BLIP and deepbooru tagging, then hand edited. comments sorted by Best Top New Controversial Q&A Add a Comment. eQcK5eRn0_o8n5nzOvua_4-" referrerpolicy="origin" target="_blank">See full list on techtactician. What you are doing when training is teaching the neural network the consistencies in the training images to create an association of that with the caption. Becoming a supervisor for the first time can be both exciting and overwhelming. Training commands. For characters, selecting 8dim is sufficient. 8 GB LoRA Training - Fix CUDA Version For DreamBooth and Textual Inversion Training By Automatic1111. This is the 'brake' on the. On my last LoRA training, I just used the name, like you suggested, but with that model, it. 0, or 100% normal speed. 1 Note : Select Vit-H / laion2b, if you have a 24gb card use Best, otherwise "classic". Teach the model a new concept (fine-tuning with textual inversion) Execute this this sequence of cells to run the training process. Step 1: Gather training images. Refer to my other LoRA workflow post as well as I go into more detail with some of these settings. One of the latest Beta features is the ability to train LoRA - at no cost (other than the Supporter monthly subscription) - entirely on Civitai. I'd expect best results around 80-85 steps per training image. It did technically "work", I saw what was essentially. You don't need technical knowledge to follow this tutorial. It will train the model overfitted, then you can change some of training parameters. LoRA model trainer with presets for faces, objects, and styles. , 2023). Churches are places of worship, but they are also places that need to be protected from potential threats. First Ever SDXL Training With Kohya LoRA - Stable Diffusion XL Training Will Replace Older Models. One test used 10 folder repeats and the other 2 folder repeats. Now training can proceed as usual. If a Lora was trained on AnythingV3, then it will likely work well with AnythingV3 and it’s merges/mixes. So these are the settings I am currently using and the quality of the LoRA output seems to be pretty terrible. and also youtube videos where the creator is training a realistic celebrity face, but they. I did try out LoHa training, but other than the size being somewhat lower, didn't see a big difference in the training process, and the output wasn't as good as the LoRA. The results were comparable to LoRA style training. toml; Start Training Set config path to start training. Learning: While setting this to a higher number makes the LoRA larger, it does allow it to be more expressive. *** Version 8. lora_rank, Rank of the LoRA. 9of9 Valentine Kozin guest. Below, we'll go through and explain all the LoRA training settings in Kohya SS, the popular model training user interface. Our Discord : https://discord. Ultimate guide to the LoRA training. Some discussion here: #37. 0 with this lora - it just gives the best results. Dim = 4, Conv. 5 because it's just way better, and in the process, thought I'd try switching to using LoRAs instead of Dreamboothing a full checkpoint. LoRaWAN Gateways and Nodes are two of four key components of the LoRaWAN network architecture: End Nodes - Represents edge devices or sensors. MonsterMMORPG changed discussion status to closed Jan 11. I'm on Arch linux and the SD WebUI worked without any additional packages, but the trainer won't use the GPU. I think it might be good to start with the higher learning rate for example 5e-4, constant learning rate scheduler, longer training steps like 1,000, and the smaller LoRA dimension like 4. I've been fine tuning prompts and settings for my self-LORA and I've gotten it down to a 90-100% likeness for every generation. But kohya-ss (the author of the script used in the guide) says that networks trained with the script version 0. During training, Wo is. Sd15-inpainting model in the first slot, your model in the 2nd, and the standard sd15 pruned in the 3rd. Dear revAnimated, please generate a "boho tank" for me: OK, the boho-style seems a good idea to try, STEP 2: Check other image generators. Note that you do not want to have any options selected under "Checkpoints" or it. I ha. ipynb_ File. 1) lora_scale, Scaling parameter at the end of the. There are some conventions you need to follow. Dear Bing, please generate a "boho tank" for me:. Model： anime-segmentation - SkyTNT for removing background of character. The only reason I'm needing to get into actual LoRA training at this pretty nascent stage of its usability is that Kohya's DreamBooth LoRA extractor has been broken since Diffusers moved things around a month back; and the dev team are more interested in working on SDXL than fixing Kohya's ability to extract LoRAs from V1. Edit Preview. kohya SS gui optimal parameters - Kohya DyLoRA , Kohya LoCon , LyCORIS/LoCon , LyCORIS/LoHa , Standard Question | Help. Much of the following still also applies to training on top of the older SD1. LoRA Blocks. It's now as simple as opening the AnimateDiff drawer from the left accordion menu in WebUI, selecting a. Dataset and tagging workflow guide for LoRa training! Dataset and tagging workflow guide for LoRa training! Last update: 2/12/2023. It is said that Lora is 95% as good as Dreambooth [6], and is faster [3] and requires less VRAM [6]. LoRa config uses an admin message sending a Config. Features: Supports text-to-image and image-to-image (image+text prompt) Supports instruction-based image editing ( InstructPix2Pix) Prompting Features: Attention/Emphasis, negative prompt. Learning Objectives. I tried training DAdaptation with various Alpha settings. Settings for merging two models. The 62. x, Stable Diffision ckpt/safetensors and Diffusers). It did technically "work", I saw what was essentially. sh file if you are on linux. Basic settings. and 4090 can use same setting but Batch size =1. The format is as follows: <lora: [LoRA name]:weight number>. py, curating your dataset, training your LORA and generating your LORA. ps1 Powershell script for the Kohya repo. Think of this setting as how 'creative' we are allowing the AI to be. I've tried using 1e-4, and it is OK. At very least you may want to read through the auto captions to find repetitions and training words between files. Make sure you have part on the left of those settings ( model selection section ) loaded with the LORA trained model name, something like *MODEL_NAME-LORA-STEPS trained model under "LORA MODEL" section before you generate a checkpoint. This is a WIP port of Shivam Shriao's Diffusers Repo, which is a modified version of the default Huggingface Diffusers Repo optimized for better performance on lower-VRAM GPUs. Seems like if it were people would be using it more, so maybe not. This will be determined by your VRAM size. Hope you can contact and help me in discord! Rexel#6689. Keanu: Now this seems undertrained, mostly Keanu and a bit of the trained face. For regular LoRA training, if you use my settings for DAdaptation, the same number of steps and epochs will be fine for Prodigy. mudman13 • The most important thing though is good training images. 1 Note : Select Vit-H / laion2b, if you have a 24gb card use Best, otherwise "classic". Create a dataset 2. I think it will require even less memory if you run it without the text encoder. The whole building is divided into two districts—A and B, of which 12 floors above the ground in area A, 16 floors above area B and 2 floors below ground. It's a painful way to do a range test. Learning rate seems high for a pose. Some generations used character LoRAs @ Lykon character LoRAs such as Lucy from Cyberpunk Edgerunners and Aqua from the Kingdom Hearts. LoRA are basically an embedding that applies like a hypernetwork with decently close to dreambooth quality. 1K subscribers in the DreamBooth community. Bonus: all the tables in this post were formatted with ChatGPT. I've been training with Dreambooth in Colab for months which has worked well, but I want to also try LoRA. With PixAI's new LoRA training feature, you can simply upload the images of your favorite characters or art styles to customize your own LoRAs. August 18, 2023 6 minutes read Ai Art, Stable Diffusion Learn how to train LORA for Stable Diffusion XL (SDXL) locally with your own images using Kohya's GUI. It cannot tell you how long each CUDA kernel takes to execute. Here are two version of LoCon. weight is the emphasis applied to the LoRA model. I already have some experience with colab training before as well as runpod training using Everydream and Stabletuner. 16:18 How to save settings / configuration in Kohya. Grab all the. 1 30:31 The speed of the. Auto1111 LoRa native support. Train the main lora with the whole dataset and train a separate face lora with pictures of the head/face only (cut and upres). Intro Required resources LyCORIS overview LoCon training settings redjuice LoCon Epoch vs. We hope that now you’ll be able to train your own LoRA models fast and without any trouble. (upto 4e-4). We won't be doing that in this guide though, we'll be using Google Colab, which lets you borrow Google's powerful computers and graphics cards for free for a few hours a day (some say it's 20 hours a week). How many images? How many repeats? Learning rate etc. I have about 50-60 pictures of varying quality in 1024 by 1024 pngs. From my experience, I'm pretty sure the answer is the optimization steps but doing 25 epochs of a 500 image set seems like a lot to get 2000 steps. Each of these is a different Lora saved at different epochs of your training. Last but certainly not least, I wanted to try out style transfer and use multiple LoRA concepts simultaneously. So @cloneofsimo recently accepted a pull request that allows changing the rank of the LoRA approximation. Network Alpha: Set to ~half of the Network Rank. The only differences being that you will need to specify a few more hyperparameters exclusive to LoRA. When working with other loras that focus on faces, I noticed they are extremely strong. Don't be me training an X-men Celshade lora on content that MIGHT FLY for SD 1. from publication: Overcoming Limitations of LoRa Physical Layer in Image Transmission | As a possible. Go to the destination training folder and go to the models folder. Usually, this means training the entire pre-trained model, including all its parts and settings. So lets start with the basics. If you need more guidance, you can check a generic LoRA guide or somethin. videos) that demonstrate effective training techniques for high-end systems?. A couple of clarifications needed. [ Fix at the end! ] On Linux, RTX3080/10GB, 32GB RAM, running text-generation-webui in docker. Each of them has a number like 01, 02, 03, etc. Epoch --> I was recommended putting this at 20 and then seeing which epoch was best. Optimizer settings: Optimizer: I currently recommend either Prodigy, AdamW or adamW8bit. To use your own dataset, take a look at the Create a dataset for training guide. I think it might be good to start with the higher learning rate for example 5e-4, constant learning rate scheduler, longer training steps like 1,000, and the smaller LoRA dimension like 4. MODEL_NAME: SG161222/Realistic_Vision_V2. Also use BLIP2 to see how SD understands the images. You can use my "Smart Process" extension to do a rough job of captioning images, then go through and fix things if they're way off. ckpt or. The text encoder helps your Lora learn concepts slightly better. ps1 Powershell script for the Kohya repo. In a comparison for packet rate, mentioned above, the 4 byte packets which could be used for remote control processes for instance. If you are only using a few dozen images, then LORA is fine. I've been testing Training models out today and found that it's seems like putting in the SUBJECT_NAME (especially if it is an actor's name) in the Prompt makes the output worse. City scale and nationwide LoRa network: deployment challenges, best operating. Hope to get your opinions, happy creating! Edit 1: I usually train with sdxl base model but I realized that trading with other models like dreamshaper does yield interesting results. toml; Start Training Set config path to start training. For LoRA, 2-3 epochs of learning is sufficient. The LoRA training can be done with 8GB GPU memory (10GB recommended). 5€/h at the. While our model is more exible, it can outperform LoRA in a much wider range of ranks without adding to the training time. A Lora that resembeles the Model in every little detail. My goal: To create images that can pass as act. Use custom VAE models. 21:40 How to use trained SDXL LoRA models with ComfyUI. If you're on Holo's. Head over to the following Github repository and download the train_dreambooth. I've been fine tuning prompts and settings for my self-LORA and I've gotten it down to a 90-100% likeness for every generation. I train for about 20-30 steps per image and check the output by compiling to a safetesnors file, and then using live txt2img and multiple prompts containing the trigger and class and the tags that were in the training. some say that when training LORAS, to pick CLIP SKIP 1 when training on SD based realistic model, and CLIP SKIP 2 when training on NovelAI anime based model. 20:46 How you can do training with my settings. Not going to lie, this will be dead for a month or two more. How to key word tag the Images for Lora an. 1">See more. 5 has mostly similar training settings. Works at most strengths, and use either blessed vae or WD's vae for best effect. py, curating your dataset, training your LORA and generating your LORA. 1 Note : Select Vit-H / laion2b, if you have a 24gb card use Best, otherwise "classic". In order to get the intended result I have to increase the base resolution, as it gets closer to the training image, the style that I want kind of blends in gradually. • Network settings like RxDelay and CFList can be specified at join time. 21:47 How to save state of training and continue later. At last, some progress! Be warned, though, this. When employers have a well trained team, it ultimately leads to a more profitable and efficient workplace environment. Cant be emphasized enough. Step 3:. Video Courses IT & Software. 4 and Dreambooth. From the GPT4All Technical Report : We train several models finetuned from an inu0002stance of LLaMA 7B (Touvron et al. Becoming a supervisor for the first time can be both exciting and overwhelming. 💡 Feature Requests. There is NO one size fits all for LoRA training. Bonus: all the tables in this post were formatted with ChatGPT. 0 comments. Setting the 'self. Checked out the last april 25th green bar commit. You can disable this in Notebook settings. 2 network_alpha: Typically set as half or a quarter of the dim value. Low-Rank Adaptation of Large Language Models (LoRA) is a training method that accelerates the training of large models while consuming less memory. A LoRA model modifies the cross-attention by changing its weight. The model types provide an easy way to set up the configuration for people who're new to training, but experienced LoRA trainers can tweak. I'm struggling to create a lora that can handle a full body that doesn't mess up the face. 0 Checkpoint using Kohya SS GUI. This is the 'brake' on the. training settings. pt into model. anitta nudes
Pretty easy to setup, just grab a ready-made installer on github. . Best lora training settings
After the training, I restarted the server in chat mode python server. Then try different prompts. In the meantime, I'll share my workaround. Weight grid analysis 40 dims Vanilla. What are the best settings for Kohya ss Dreambooth LoRa training for an anime character? comments sorted by Best Top New Controversial Q&A Add a Comment. All well tagged with both BLIP and deepbooru tagging, then hand edited. If a Lora was trained on AnythingV3, then it will likely work well with AnythingV3 and it’s merges/mixes. The Table of Contents: Data Collection Data Proces. Train it. A bit of additional advice, if there is discolouring on the faces it's an indication that your training might be over-baked, try a LoRA model from an earlier epoch or lower. PyTorch 2 seems to use slightly less GPU memory than PyTorch 1. They train fast and can be used to train on all different aspects of a data set (character, concept, style). 2 network_alpha: Typically set as half or a quarter of the dim value. Diffusers now provides a LoRA fine-tuning script that can run. What is a good learning rate for LoRA? \n. 1K runs GitHub License. If the LoRA seems to have too much effect (i. Weight grid analysis 32 dims redjuice LoCon Epoch vs. Comfy UI now supports SSD-1B. This is a very useful feature in Kohya that means we can have different resolutions of images and there is no need to crop them. Jul 2, 2023 · Step 1: Selecting images Myth: More = better. Any suggestion LoRa training on colab? Seems extension not working correctly. textual inversion is great for lower vram. - Epoch: 12 (*** This can be whatever you want. json etc) with different settings and run them from a batch file in order. 5 one was trained with too high of a. Sampler: DPM++ SDE Karras (Recommended for best quality, you may try other samplers) CFG Scale : 5 to 9. py and append the following code inside it:. Training a LoRA model itself takes only around 10 minutes, but expect the whole process including setting up and preparing training data to take around 2 hours. That way you will know what words can be used to "pull" more of that style when you want. Oh I almost forgot to mention that I am using H10080G, the best graphics card in the world. Example prompt: DBfantasyart style, masterpiece, 1girl, beautiful female portrait of sorceress. 4 weight decay, 0. Makes training slightly faster but can increase memory usage: Enable this, by memory usage it means RAM, not VRAM. Test each epoch to see which one looks the best. This comment has been hidden. I found that using. An AI Splat, where I do the head (6 keyframes), the hands (25 keys), the clothes (4 keys) and the environment (4 keys) separately and. An over. #stablediffusion #A1111 #AI #Lora #koyass #sd #sdxl #character #charactertraining This video shows and presents the steps needed for a Perfect LoRA Model of a character that is flexible, able to adapt to new settings, and works for face and full body shots with high level of details for both SD. Dreambooth LORA settings for LOW VRAM (8GB) So following holostrawberry guide on civitai, I've done some tweaks to increase speed and make it possible to train a lora on my shitty 8GB vram card. Assuming you have your dataset ready and have chosen a pretrained model to fine-tune, you can perform the following. I already have some experience with colab training before as well as runpod training using Everydream and Stabletuner. So I loaded that ckpt as my model, instead of my intended model. 50:16 Training of Stable Diffusion 1. Textual Inversion: the method of "training" your embedding; comparable to training a model, but not entirely accurate. They are both small and only modify the cross-attention module. Last active 5 days ago. Res 1024X1024. If the LoRA seems to have too little effect, set alpha to higher than 1. 9of9 Valentine Kozin guest. Dec 15, 2022 · Wiki Security Insights Best Training configurations for Faces #43 cloneofsimo started this conversation in Ideas cloneofsimo on Dec 15, 2022 Maintainer My take on the learing rate, really not anything conclusive, but seems like even higher-learning rate can work as well. I'll link a relevent template here: https://www. bat files to automate the install. As your model collection grows, it becomes impractical to obtain every ckpt and VAE used to create them so you need a good generalized set to work with all checkpoints, embeddings, and LORA you install. Setting the. UNET is the most impactful knob on training your LoRA. friedrichvonschiller • 4 mo. 5 and suddenly I was getting 2 iterations per second and it was going to take less than 30 minutes. The article continued with the setup and installation processes via pip install. 3: Continued training, but changed to 5 epochs | 20 repeats [+1500 steps, 4500 total] If you're doing the math, all these had batch 2. Model card Files Community. 1 #42 by MonsterMMORPG - opened Dec 31, 2022 Discussion. However, I am discarding many of these. The only differences being that you will need to specify a few more hyperparameters exclusive to LoRA. gamma test [Training] = 1 - 20. Set the destination directory to wherever you'd like. Custom Models: Use your own. The 5 and 2 determine how often the image is repeated for each epoch. Trigger word : gldot My new LoRa, featuring the beautiful Gal Gadot. cloneofsimo was the first to try out LoRA training for Stable Diffusion in the popular lora GitHub repository. Tweak dreambooth settings Dreambooth ran succesffully when I used the following settings in the Dreambooth tab of the web ui: Use LORA: unchecked Training Steps Per Image (Epochs): 150 batch size: 1 Learning Rate Scheduler: constant with warmup Learning Rate: 0. It helps ensure that church staff and volunteers are prepared to handle any pote. Let me show you how to train LORA SDXL locally with the help of Kohya ss GUI. The content should look like: [wsl2] memory=28GB. It works in the same way as the current support for the SD2. #stablediffusion #stablediffusiontutorial #stablediffusionart ☕️ Please consider to support me in Patreon 🍻https://www. From the GPT4All Technical Report : We train several models finetuned from an inu0002stance of LLaMA 7B (Touvron et al. The TLDR is that DreamBooth is probably the best. AKA manipulating and retaining composition shoul dbe better. It can be different from the filename. zip or metadata of LoRA file. so that a good start for itterations, play from 1000 up to 3000. There's not much information online about what LoRA training settings. The next section covers the explanation of all training parameters, settings, and options, including how many training steps equal one epoch, save checkpoints frequency, and how to set the path for training images. We ran a lot of experiments to verify our script and analyze the effect of different settings in Dreambooth. Check out this guide to government training prog. The steps to fine-tune LLaMA 2 using LoRA is the same as of SFT. This will not affect the model quality, but its good to give it a name to help organize. UPDATE from 29. Alternatively, you can use the model quick pick to train the LoRA on a " raw " pretrained model, such as Runway or Stability-Ai. support for stable-diffusion-2-1-unclip checkpoints that are used for generating image variations. currently studying lora training right now, i can volunteer to do a video about this but ofc I still need to figure things out. mudman13 • The most important thing though is good training images. We encourage you to explore different configurations, such as adapting the embedding layer by replacing nn. Use with library. 0005 and I recommend going to about 8000 steps. Download Table | LoRa parameter settings and their effects on communication performance [2]. 4d16852 7 months ago. LoRA is a type of performance-efficient fine-tuning, or PEFT, that is much cheaper to accomplish than full model fine-tuning. , Shinpachi Shimura’s glasses). if you have 10GB vram do dreambooth. If I have been of assistance to you and you would like to show your support. Are you on the correct tab, the first tab is for dreambooth, the second tab is for LoRA (Dreambooth LoRA) (if you don't have an option to change the LoRA type, or set the network size ( start with 64, and alpha=64, and convolutional network size / alpha =32 ) ) you are in the wrong tab. Network Alpha: Set to ~half of the Network Rank. Let's finetune stable-diffusion-v1-5 with DreamBooth and LoRA with some 🐶 dog images. August 18, 2023 6 minutes read Ai Art, Stable Diffusion Learn how to train LORA for Stable Diffusion XL (SDXL) locally with your own images using Kohya's GUI. Question about optimal lora training. Realistic Vision v2 is a good model for training a new model with a realistic person. 1) lora_scale, Scaling parameter at the end of the. Dear revAnimated, please generate a "boho tank" for me: OK, the boho-style seems a good idea to try, STEP 2: Check other image generators. For the Text Encoder LR, since we normally set it to half speed of the Unet with AdamW, set the Text Encoder LR to 0. In this tutorial I have explained how. 5 ema-pruned on some paintings. zip or metadata in LoRA file. I can suggest you these videos. 1 KHz, 2 Ch. Feb 15, 2023 · How to use the standalone Derrian installer. 23:27 Recap of the setting up process for training parameters, options, and settings 29:23 How much GPU, CPU, and RAM the class regularization image generation uses 29:57 Training process starts after class image generation has been completed 30:04 Displaying the generated class regularization images folder for SD 2. I compared settings with the famous kohya. Use "add diff". 這17塊在 lora-block-weight 分別叫 BASE,IN01,IN02,IN04,IN05,IN07,IN08,MID,OUT03,OUT04,OUT05,OUT06,OUT07,OUT08,OUT09,OUT10,OUT11. Learning rate was 0. 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