Anti-DreamBooth
kohya-sd-scripts-webui
| Anti-DreamBooth | kohya-sd-scripts-webui | |
|---|---|---|
| 1 | 2 | |
| 181 | 167 | |
| 3.3% | - | |
| 6.8 | 4.3 | |
| 7 months ago | 11 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | - |
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Anti-DreamBooth
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Anti-DreamBooth: Protecting users from personalized text-to-image synthesis
The authors claim it was strong enough to withstand Ilyasviel's anti-Glaze code https://github.com/VinAIResearch/Anti-DreamBooth/issues/1
kohya-sd-scripts-webui
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Captioning Training Images
I've never use this but there is Batch Captioning on preparation tab. It can run as standalone program or even Automatic1111's extension.
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Problem when trying to install Kohya to train a Lora model
Also tried https://github.com/ddPn08/kohya-sd-scripts-webui which works over colab but the video tutorials to train a Lora shows a tab which this colab doesn´t have.
What are some alternatives?
cycle-diffusion - [ICCV 2023] A latent space for stochastic diffusion models
kohya_ss
Dreambooth - Fine-tuning of diffusion models
invoke-ai-gui-colab - An attempt to run latest release of Invoke Ai's web gui through Google Colab
sd-easy-mode - Easy Mode Stable Diffusion process allows you to generate images based on your own photos in just three steps
stable-diffusion-webui-wd14-tagger - Labeling extension for Automatic1111's Web UI
dreambooth-training-action - Train your custom Stable Diffusion model using Tiyaro Dreambooth training API and Github Action
LyCORIS - Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.
Lora-for-Diffusers - The most easy-to-understand tutorial for using LoRA (Low-Rank Adaptation) within diffusers framework for AI Generation Researchers🔥
e4t-diffusion - Implementation of Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models
safetensors_util - Utility for Safetensors Files