sd-webui-supermerger
kohya_ss
sd-webui-supermerger | kohya_ss | |
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13 | 132 | |
680 | 8,414 | |
- | - | |
9.3 | 9.9 | |
4 days ago | 4 days ago | |
Python | Python | |
GNU Affero General Public License v3.0 | Apache License 2.0 |
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sd-webui-supermerger
- Merging Lora with Checkpoint Model?
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Creating a Lora with Kohya doesn't seem to work
Have u tried the supermerger extension ? https://github.com/hako-mikan/sd-webui-supermerger
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Mega Model 1.8 Updated and enhanced with mass LORA model
Have u looked at https://github.com/hako-mikan/sd-webui-supermerger - it may or may not allow you to give comment. Im going on what im experiencing with this LORA experiment, it sort of updates parts of it, and if u put balanced models back in on reversing or offsetting the overcooked stage it gets to over time the model does seem to improve versus base 1.5.
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How can I merge a lora into a checkpoint?
I found this extension: supermerger
- For those wanting to merge LORA into checkpoints for extra flexibility
- the developer of the automatic1111 supermerger extension seems to be in over his head from a coding perspective, might need community assistance
- Learned the intricacies of the SuperMerger extension today for 2.1 based models. Happy with the results. No inpainting or post processing.
- Mixing use Lora to style
- Unstableinkdream 7.5 release
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I tried merging a model with ProtoThing_200 using AutoMBW (ft. custom model)
I merged this on Colab, so you don't need a powerful graphics card. You'll need the block merge extension,the model toolkit extension and the supermerger extension.
kohya_ss
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Some semi-advanced LoRA & kohya_ss questions
Many of the options are explained here https://github.com/bmaltais/kohya_ss/wiki/LoRA-training-parameters
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Lora training with Kohya issue
training in BF16 might solve this issue from what I saw in this ticket. I know other people ran into the issue too https://github.com/bmaltais/kohya_ss/issues/1382
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What is the best way to merge multiple loras in to one model?
for lycoris loras you can use the command-line script from the kohya-ss repo https://github.com/bmaltais/kohya_ss/blob/master/networks/merge_lora.py i have an older version checked out from late july, it had a separate merge_lycoris.py for for this purpose, it's probably unified now in a single file
- Evidence that LoRA extraction in Kohya is broken?
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Merging Lora with Checkpoint Model?
I usually do that with kohya_ss, a tool made for making LoRAs and finetunes. It might be a bit of a pain to set up just to do this one task, but if nobody gives you an easier method, look into it. https://github.com/bmaltais/kohya_ss
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How I got Kohya_SS working on Arch Linux, including an up-to-date pip requirements file
After that, make your staging directory, and do the git clone https://github.com/bmaltais/kohya_ss.git, and navigate inside of it. Now, here's where things can become a pain. I used pyenv to set my system level python to 3.10.6 with pyenv global 3.10.6, though you can probably just use "local" and do it for the current shell. You NEED it to be active however before you set up your venv. If you do python --version and get 3.10.6, you're ready for this next part. Make your venv with python -m venv venv. This is the simplest way, it'll create a virtual environment in your current folder named venv. You'll do a source venv/bin/activate and then do which python to make sure it's using the python from the venv. Now for the fun part. The included setup scripts have been flaky for me, so I just went through the requirements and installed everything by hand. I'm going to do this guide right now for nvidia, because I just got a 4090 for this stuff. If this ends up working well for others and there's demand, I'll try to reproduce this for AMD (But I'll be honest, I got an nvidia card because bitsandbytes doesn't have full rocm support, nor do most libraries, so it's not very reliable). After installing everything and testing it works at least at a basic level for dreambooth training, my finished requirements.txt for pip is as below:
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The best open source LoRA model training tools
Earlier I created a post where I asked for recommendations for LoRA model training tutorials. The first one I looked at used the kohya_ss GUI. That GitHub repo already has two tutorials, which are quite good, so I ended up using those:
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Script does...nothing
I have tried my best to research this issue and have not come up with much. It is obvious that its a backend issue right? The guides that I used https://github.com/bmaltais/kohya_ss and https://github.com/pyenv-win/pyenv-win/
- Using LoRa on SDXL 1.0 (not using the Kohra GUIs)
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How do I reduce the size of my Lora models?
I am training on a 12GB 3060 using kohya_ss. Is there a setting or something I'm missing?
What are some alternatives?
stable-diffusion-webui-model-toolkit - A Multipurpose toolkit for managing, editing and creating models. [Moved to: https://github.com/arenasys/stable-diffusion-webui-model-toolkit]
sd_dreambooth_extension
sdweb-auto-MBW
EveryDream-trainer - General fine tuning for Stable Diffusion
clip-interrogator-ext - Stable Diffusion WebUI extension for CLIP Interrogator
sd-scripts
stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
stable-diffusion-webui-model-toolkit - A Multipurpose toolkit for managing, editing and creating models.
kohya_ss_colab - a (successful) attepmt to port kohya_ss to colab
LoRA_Easy_Training_Scripts - A UI made in Pyside6 to make training LoRA/LoCon and other LoRA type models in sd-scripts easy
sd-webui-additional-networks