EveryDream2trainer
By victorchall
sd-scripts
By kohya-ss
EveryDream2trainer | sd-scripts | |
---|---|---|
48 | 64 | |
753 | 4,253 | |
- | - | |
9.2 | 9.7 | |
7 days ago | 6 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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.
EveryDream2trainer
Posts with mentions or reviews of EveryDream2trainer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-04.
- Question on SD Finetuning
-
80% Completed!
I'm using EveryDream2 with SD v1 based models. You can define whatever resolution you want for training, as long as your Vram allows it.
-
Freedom. Finetuned 2.1 that can gen (+1024x) and often without negative. Release this or next week. Demo available for testing in next days. Here are some creations from a closed beta that I released on Twitter yesterday. 20 people, 3 hours, 1500 gens. I hope you enjoy. More on imgur album.
There is a demo optimizers settings here that uses special settings for the text encoder: https://github.com/victorchall/EveryDream2trainer/blob/main/optimizerSD21.json
- Can we clear up the regularization images concept once and for all?
-
Are there any recent, or still relevant, tutorials on training LoRAs within Dreambooth? Any specific / special settings to take advantage of my 4090?
If you have a large dataset of pictures, I'd recommend https://github.com/victorchall/EveryDream2trainer instead of Dreambooth. It has decent documentation (well for an open source project that is) and it has a very nice validation feature (disabled by default) which actually gives you good feedback on how the training is progressing.
-
Train a model from 300k images?
EveryDream2 can handle this. They even have tools to help you autocaption using BLIP. https://github.com/victorchall/EveryDream2trainer
- [Dreambooth] The docs for this Dreambooth-like trainer, Everydream2
- Resources for artists interesting in using StableDiffusion as a tool?
- Is Joe Penna's DreamBooth still the best option for training photorealistic persons or faces?
-
Can we identify most Stable Diffusion Model issues with just a few circles?
I recoment EveryDream2 for training, it has a lot of nice features. I'm not sure there is a proper manual to learn how to train, but there is a lot of information available. I have been learning this subjects for a few months myself.
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
-
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
-
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 "
-
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
-
Help with LORA Training - Kohya_ss Regularization
This might help.
-
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.
-
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
What are some alternatives?
When comparing EveryDream2trainer and sd-scripts you can also consider the following projects:
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
kohya_ss
StableTuner - Finetuning SD in style.
sd_dreambooth_extension
EveryDream-trainer - General fine tuning for Stable Diffusion
stable-diffusion-webui-wd14-tagger - Labeling extension for Automatic1111's Web UI
bitsandbytes-rocm
kohya-trainer - Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
EveryDream2trainer vs ComfyUI
sd-scripts vs kohya_ss
EveryDream2trainer vs StableTuner
sd-scripts vs sd_dreambooth_extension
EveryDream2trainer vs EveryDream-trainer
sd-scripts vs ComfyUI
EveryDream2trainer vs stable-diffusion-webui-wd14-tagger
sd-scripts vs bitsandbytes-rocm
EveryDream2trainer vs kohya-trainer
sd-scripts vs lora
EveryDream2trainer vs fast-stable-diffusion
sd-scripts vs kohya-trainer