kohya-trainer
Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning (by Linaqruf)
stable-diffusion
Heavily refactored version of the stable diffusion development repository. Used for the SmirkingFace project. (by smirkingface)
kohya-trainer | stable-diffusion | |
---|---|---|
36 | 2 | |
1,772 | 69 | |
- | - | |
8.3 | 10.0 | |
about 2 months ago | over 1 year ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | MIT License |
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.
kohya-trainer
Posts with mentions or reviews of kohya-trainer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-04.
-
Best method for training lora with sdxl
This longer colab notebook: I did use this one (or one of the slight derivatives of it) and got out a safetensors file, but the lora didn't work at all--I'd use it a increase it's weight but I just would see no effect
- Question on SD Finetuning
-
Requesting Help: Stable Diffusion with Dreambooth via Automatic1111
It isn't what you are asking for (sry) but I struggled with this thing for way too long until I found out about the Kohya Trainer. https://github.com/Linaqruf/kohya-trainer So much easier with a lot of videos by the various YT folks. Standalone WebUI that just works. Life is good here!
-
Do you need a PhD in AI for AI opportunities?
It's seem that he is stable diffusion model creators. In that space, it's less knowing about the code and more experimenting on what would happen in the training. The stable diffusion community has repertoire of fine-tuning tools that is accessible for someone who have no single idea on the code behind it, no different than using application like kohya.
-
Am I some kind of idiot? I cant for the life of me get Lora training to work on colab or runpod.
Have you tried out one of the colabs from https://github.com/Linaqruf/kohya-trainer ? The colabs themselves are pretty long, but you just have to read each step and then usually push the button to run that cell, then move on to the next one.
-
[Stable Diffusion] Diffusion stable sur Google Colab se bloque toujours!
** https: //github.com/linaqruf/kohya-trainer**
-
Lora training steps with large batch sizes?
There are a lot of variables that affect what kind of settings to use, but afaik the best solution to finding the right step count for what your training is still just to save multiple epochs and then run a x/y/z plot comparison. If you can't do that locally because of your 4gb card, you could try using Lora colabs that include inference capabilities.
-
Colab Troubles (Addendum)
You seem to be a little confused. You wont find an ipynb of a model. You would reference a model via a content portal like hugginface. If your model is hosted there, you dont have to download it to your computer or gdrive first. You just reference it with the hugginface-style reference, ie runwayml/stable-diffusion-v1-5. Some colabs will let you also reference a URL to pull down the model. Example. https://github.com/Linaqruf/kohya-trainer/blob/main/kohya-LoRA-dreambooth.ipynb. In that case, you can get the direct url to a checkpoint, for example at civit.ai. If you're decent at messing around with code, you can deconstruct that code block to use in a different colab. As for gdrive, it's only a couple dollars to get 100G.
- PNG info not copied from images generated through Kohya.
-
Is Colab going to start banning people who use it for Stable Diffusion????
Try this colab to train Lora, it can generate image without the UI too
stable-diffusion
Posts with mentions or reviews of stable-diffusion.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-17.
-
I'm a photographer with hundreds of thousands of photos of beautiful models, can I use these to improve my Stable Diffusion?
All of the generalized models and larger projects use model trainers that are offshoots of Latent Diffusion, which is what Stable Diffusion used. I recommend this one, but there are many others. Some support auto-captioning, captioning tools, or you can caption the images yourself.
-
From one of the original DreamBooth authors : Stop using SKS as the initializer word
Use one of the original SD repos, or the code for Waifu Diffusion, or the Smirkingface refactor.
What are some alternatives?
When comparing kohya-trainer and stable-diffusion you can also consider the following projects:
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
sd_dreambooth_extension
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
sd-webui-additional-networks
waifu-diffusion - stable diffusion finetuned on weeb stuff
stable-diffusion-webui-colab - stable diffusion webui colab
stable-diffusion-aesthetic-gradients - Personalization for Stable Diffusion via Aesthetic Gradients 🎨
stable-diffusion-webui-aesthetic-gradients - Aesthetic gradients extension for web ui
EveryDream-trainer - General fine tuning for Stable Diffusion
sd-scripts
kohya-trainer vs lora
stable-diffusion vs fast-stable-diffusion
kohya-trainer vs sd_dreambooth_extension
stable-diffusion vs diffusers
kohya-trainer vs sd-webui-additional-networks
stable-diffusion vs waifu-diffusion
kohya-trainer vs stable-diffusion-webui-colab
stable-diffusion vs stable-diffusion-aesthetic-gradients
kohya-trainer vs fast-stable-diffusion
stable-diffusion vs stable-diffusion-webui-aesthetic-gradients
kohya-trainer vs EveryDream-trainer
kohya-trainer vs sd-scripts