diffuzers
StableTuner
diffuzers | StableTuner | |
---|---|---|
9 | 22 | |
572 | 626 | |
- | - | |
1.1 | 10.0 | |
12 months ago | about 1 year ago | |
Python | Python | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
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diffuzers
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I will pay someone to make me a simple UI for SD
you dont need to pay me: https://github.com/abhishekkrthakur/diffuzers :D
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The next best alternative to Auto1111??
https://github.com/abhishekkrthakur/diffuzers open source, simple ui
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No more space issues for saving all generations
Check it out here: https://github.com/abhishekkrthakur/diffuzers and if you need anymore features, ill add them super-fast :)
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Introducing diffuzers api: an api for 🤗 diffusers!
With diffuzers api, you can serve models like stable diffusion or any diffusion model from huggingface hub! Advantage being, you can build complicated (or simple) apps on top of this api: such as a website, an app, or a photoshop plugin! Check it out here: https://github.com/abhishekkrthakur/diffuzers
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New features in Diffuzers! 🔥🔥🔥
More coming soon! If something is missing, please create an issue on github repo. P.S. now the ui also works on colab and huggingface spaces! check it out here: https://github.com/abhishekkrthakur/diffuzers
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I have created a brand new GUI that can be used with any diffusion model from Hugging Face Hub
both fixed. :) please feel free to open issues for feature requests or bugs here: https://github.com/abhishekkrthakur/diffuzers/issues as i might miss some on reddit :)
You can check it out here: https://github.com/abhishekkrthakur/diffuzers
- Diffuzers: Web UI for 🤗 Diffusers
StableTuner
- 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?
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
EveryDream2trainer
StableDiffusion-Windows-GUI
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
IOPaint - Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
LyCORIS - Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.
ainodes-engine
stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]
EveryDream-trainer - General fine tuning for Stable Diffusion
dreambooth-training-guide