EveryDream2trainer
By victorchall
StableTuner
Finetuning SD in style. (by devilismyfriend)
EveryDream2trainer | StableTuner | |
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48 | 22 | |
755 | 626 | |
- | - | |
9.2 | 10.0 | |
17 days ago | about 1 year ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
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
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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.
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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?
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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.
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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?
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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.
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 EveryDream2trainer and StableTuner you can also consider the following projects:
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
sd-scripts
LyCORIS - Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.
EveryDream-trainer - General fine tuning for Stable Diffusion
stable-diffusion-webui-wd14-tagger - Labeling extension for Automatic1111's Web UI
kohya-trainer - Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning
dreambooth-training-guide
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
stable-diffusion-webui - Stable Diffusion web UI
EveryDream2trainer vs ComfyUI
StableTuner vs Dreambooth-Stable-Diffusion
EveryDream2trainer vs sd-scripts
StableTuner vs LyCORIS
EveryDream2trainer vs EveryDream-trainer
StableTuner vs ComfyUI
EveryDream2trainer vs stable-diffusion-webui-wd14-tagger
StableTuner vs EveryDream-trainer
EveryDream2trainer vs kohya-trainer
StableTuner vs dreambooth-training-guide
EveryDream2trainer vs fast-stable-diffusion
StableTuner vs stable-diffusion-webui