Anti-DreamBooth
e4t-diffusion
Anti-DreamBooth | e4t-diffusion | |
---|---|---|
1 | 2 | |
181 | 311 | |
3.3% | - | |
6.8 | 4.4 | |
7 months ago | about 1 year ago | |
Python | Python | |
GNU General Public License v3.0 only | MIT License |
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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
e4t-diffusion
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Generative AI researcher asking for your opinion
I think you could use this for that https://github.com/mkshing/e4t-diffusion
- dreambooth/lora level models with 5 training steps, train in seconds rather than minutes
What are some alternatives?
cycle-diffusion - [ICCV 2023] A latent space for stochastic diffusion models
kohya_ss
kohya-sd-scripts-webui - Gradio wrapper for sd-scripts by kohya
DeepCache - [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free
Dreambooth - Fine-tuning of diffusion models
MinImagen - MinImagen: A minimal implementation of the Imagen text-to-image model
sd-easy-mode - Easy Mode Stable Diffusion process allows you to generate images based on your own photos in just three steps
guided-diffusion-keras - Text to Image Diffusion Models in Keras
dreambooth-training-action - Train your custom Stable Diffusion model using Tiyaro Dreambooth training API and Github Action
posex - Posex - Estimated Image Generator for Pose2Image
Lora-for-Diffusers - The most easy-to-understand tutorial for using LoRA (Low-Rank Adaptation) within diffusers framework for AI Generation Researchers🔥
sd-webui-cutoff - Cutoff - Cutting Off Prompt Effect