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StableTuner Alternatives
Similar projects and alternatives to StableTuner
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diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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stable-diffusion-ui
Discontinued 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]
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InvokeAI
InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
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ComfyUI
The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
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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.
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Dreambooth-SD-optimized
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
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LyCORIS
Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.
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SaaSHub
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StableTuner reviews and mentions
- 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
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A note from our sponsor - InfluxDB
www.influxdata.com | 2 May 2024
Stats
devilismyfriend/StableTuner is an open source project licensed under GNU Affero General Public License v3.0 which is an OSI approved license.
The primary programming language of StableTuner is Python.
Popular Comparisons
- StableTuner VS EveryDream2trainer
- StableTuner VS Dreambooth-Stable-Diffusion
- StableTuner VS LyCORIS
- StableTuner VS ComfyUI
- StableTuner VS EveryDream-trainer
- StableTuner VS dreambooth-training-guide
- StableTuner VS stable-diffusion-webui
- StableTuner VS sd-scripts
- StableTuner VS stable-diffusion-webui-pix2pix
- StableTuner VS latentblending
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