cpp-docs | kohya_ss | |
---|---|---|
12 | 132 | |
1,397 | 8,306 | |
1.2% | - | |
9.9 | 9.9 | |
7 days ago | 5 days ago | |
PowerShell | Python | |
Creative Commons Attribution 4.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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cpp-docs
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Bug in std:shared_mutex on Windows
It looks like it was declared in Nov 21, and in May 23 they merged in the "fix" by adding "it's approximate" to the docs ( https://github.com/MicrosoftDocs/cpp-docs/commit/447b5d8a781... ), so not sure this is the best approach for actual bugs.
- FINALLY figured out how to create realistic character Loras!
- Unused STL Functions in Executable?
- Walkthrough: Create and use your own Dynamic Link Library (C++)
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Microsoft insults dev then takes credit for their idea
Now can you get Microsoft to fix their broken implementation of FMA? (see https://github.com/MicrosoftDocs/cpp-docs/pull/3526 for details)
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Overview of modules in C++
Doc bug: https://github.com/MicrosoftDocs/cpp-docs/issues/3766
- is it still basically useless working with modules in g++-11?
- DLL to exe
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LLVM 13.0.0 Released
I googled what is ucrt
- https://github.com/MicrosoftDocs/cpp-docs/blob/master/docs/p...
- https://stackoverflow.com/questions/57528555/how-do-i-build-...
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Making an Android app based in C?
If you want to keep it minimal, here's a good example.
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?
AStarDemo - A basic A* example ported to C++/WinRT
sd_dreambooth_extension
ppm2png - Basic command line utility to convert PPM images (P3) into PNG
EveryDream-trainer - General fine tuning for Stable Diffusion
ifc-spec - IFC format specification
sd-scripts
wireguard-android - Mirror only. Official repository is at https://git.zx2c4.com/wireguard-android
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
refterm - Reference monospace terminal renderer
kohya_ss_colab - a (successful) attepmt to port kohya_ss to colab
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
LoRA_Easy_Training_Scripts - A UI made in Pyside6 to make training LoRA/LoCon and other LoRA type models in sd-scripts easy