sd-scripts
By kohya-ss
StableTuner
Finetuning SD in style. (by devilismyfriend)
sd-scripts | StableTuner | |
---|---|---|
64 | 22 | |
4,253 | 626 | |
- | - | |
9.7 | 10.0 | |
about 22 hours ago | about 1 year ago | |
Python | Python | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sd-scripts
Posts with mentions or reviews of sd-scripts.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-16.
- Everything you know about loss is a lie
- Evidence that LoRA extraction in Kohya is broken?
- Stable Diffusion XL (SDXL) DreamBooth training with EMA (Exponential Moving Average) on the way
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Installing kohya_ss GUI on AWS
This repository mostly provides a Windows-focused Gradio GUI for Kohya's Stable Diffusion trainers... but support for Linux OS is also provided through community contributions.
- Question on SD Finetuning
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Trying to put up a simple dreambooth for sdxl, but an errors pops up
Leaving this here because i'm very tired, so this is the file of the ipynb that uses the sdxl_train.py from the https://github.com/kohya-ss/sd-scripts/tree/sdxl repo, if anybody find out why when getting to the training i get this very empty error : " [00:09:11] WARNING The following values were not passed to "
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Finally SDXL coming to the Automatic1111 Web UI
You can try and test training LoRAs now https://github.com/kohya-ss/sd-scripts/tree/sdxl
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Help with LORA Training - Kohya_ss Regularization
This might help.
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need a lora traning guide for linux
Kohya_ss sd-scripts Seems to be the standard for lora training. The linked page has an English translation, but doesn't really have system specific tips. Someone else has a popular gui for it, but it's designed with windows in mind. There's another, simpler gui, but its still in development and the dev doesn't do any testing on Linux. With any of these, I run into dependency conflicts like crazy.
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SDXL 0.9 is wild but trying to imagine where we go from here is breaking my brain.
"Direct training" is already feasible with masking in kohya-ss: https://github.com/kohya-ss/sd-scripts/pull/589
StableTuner
Posts with mentions or reviews of StableTuner.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-12.
- What is the best way to train a Stable Diffusion model on a huge dataset?
- How to fine-tune a Stable Diffusion model with hundreds or thousands of images?
- SD fine-tuning methods compared: a benchmark
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After so many errors with Dreambooth, Everydream2 is the way to go
Of all dreamboothing/finetuning implementations I tried I liked StableTuner the most. Might be worth giving it a shot to compare as well.
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Non-technical tips for ideal training of Stable Diffusion through Dreambooth?
Largest I've gone is about 100 images for objects or people. I don't think it matters though, it can be a hassle setting up and resuming the training session each time if your doing small sessions. Stable Tuner can simplify all of this by helping you set everything up through their client installed locally. You can then easily do your training locally in short sessions or have it automatically packed up to be exported to colab or another gpu hosting service, also with the ability to train in short sessions. Its a smart way to manage large training projects like yours. It requires a bit of time setting up but most folks who have already played around with dreambooth should be able to navigate their way through easily enough. It has all the other training methods built into it too, including proper fine tuning https://github.com/devilismyfriend/StableTuner
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Alternative tools to fine tune stable diffusion models?
Some people also like StableTuner: https://github.com/devilismyfriend/StableTuner
- Question about specific character training
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Finetuning Inpainting model
Stable Tuner seems like it's setup to allow training on regular/inpaint/depth models. https://github.com/devilismyfriend/StableTuner
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The next best alternative to Auto1111??
StableTuner is an alternative to the sd_dreambooth plugin. It can do Dreambooth and Fine Tuning (I haven't tried this but I think it's embeddings) It uses diffusers but will convert between that and ckpt files, is for Windows/Nvidia, and uses a local app instead of a webapp. This is the only successful local Dreambooth I've done. You'll need to go to their discord for help but it's not hard to use.
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Auto1111 Fork with pix2pix
Dreambooth is has better results in older commits. StableTuner is better for training : https://github.com/devilismyfriend/StableTuner
What are some alternatives?
When comparing sd-scripts and StableTuner you can also consider the following projects:
kohya_ss
EveryDream2trainer
sd_dreambooth_extension
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
LyCORIS - Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.
bitsandbytes-rocm
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
EveryDream-trainer - General fine tuning for Stable Diffusion
kohya-trainer - Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning
dreambooth-training-guide
sd-scripts vs kohya_ss
StableTuner vs EveryDream2trainer
sd-scripts vs sd_dreambooth_extension
StableTuner vs Dreambooth-Stable-Diffusion
sd-scripts vs ComfyUI
StableTuner vs LyCORIS
sd-scripts vs bitsandbytes-rocm
StableTuner vs ComfyUI
sd-scripts vs lora
StableTuner vs EveryDream-trainer
sd-scripts vs kohya-trainer
StableTuner vs dreambooth-training-guide