kohya-trainer
stable-diffusion-webui-aesthetic-gradients
kohya-trainer | stable-diffusion-webui-aesthetic-gradients | |
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36 | 10 | |
1,772 | 420 | |
- | - | |
8.3 | 10.0 | |
about 2 months ago | over 1 year ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | - |
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kohya-trainer
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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
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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!
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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.
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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.
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[Stable Diffusion] Diffusion stable sur Google Colab se bloque toujours!
** https: //github.com/linaqruf/kohya-trainer**
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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.
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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.
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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-webui-aesthetic-gradients
- Dreambooth mixing two models
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Is it possible to Interrogate images not into text, but embeddings?
Also available as an extension for Automatic1111
- aesthetic gradients are awesome!
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Has anyone trained aesthetic-gradients successfully?
I tried to use https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients in automatic 1111 but unfortunately, I couldn't get it working.
- I'm a photographer with hundreds of thousands of photos of beautiful models, can I use these to improve my Stable Diffusion?
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Trying to set up aesthetic embedding in automatic1111
I found a plugin for auto1111 that sounds cool, aesthetic embedding. using a colab. it wants a source directory. what is the root folder? https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients here is the git. but i cant make sense of where to point the folder. I assumed that sd is the root folder but im not sure?
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Question about Aesthetic Gradients
So I was looking through extensions and found this: https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients
- Massive update to StylePile, my prompt generation assistant for AUTOMATIC1111. 135 artist presets, 55 styles, 25 emotions. Insert keywords sequentially or randomly. Adjust influence of result types, artists and styles. See detailed progress information in prompt. Feedback welcome.
- Do you really need to train a Dreambooth for every concept? Use aesthetic embeddings.
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Transforming a project of 131 illustrations into billions of illustrations. I present the DB ILCO model. Made with the dataset from illlustrations.co. 131 training illustrations. 2000 Steps. Aesthetic Embeddings included. Available on Hugging. Support the original creator!
https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients and place the folder inside the 'extensions' folder in the Automatic1111 folder.
What are some alternatives?
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
StylePile - A prompt generation helper script for AUTOMATIC1111/stable-diffusion-webui and compatible forks
sd_dreambooth_extension
novelai-aspect-ratio-bucketing - Implementation of aspect ratio bucketing for training generative image models as described in: https://blog.novelai.net/novelai-improvements-on-stable-diffusion-e10d38db82ac
sd-webui-additional-networks
stable-diffusion-aesthetic-gradients - Personalization for Stable Diffusion via Aesthetic Gradients 🎨
stable-diffusion-webui-colab - stable diffusion webui colab
stable-diffusion - Heavily refactored version of the stable diffusion development repository. Used for the SmirkingFace project.
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
EveryDream-trainer - General fine tuning for Stable Diffusion
sd-scripts
StableDiffusionUI_SageMakerSL - Notebook for running Automatic1111 Stable Diffusion webui on SageMaker Studio Lab