Anti-DreamBooth VS sd-easy-mode

Compare Anti-DreamBooth vs sd-easy-mode and see what are their differences.

Anti-DreamBooth

Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV'23) (by VinAIResearch)

sd-easy-mode

Easy Mode Stable Diffusion process allows you to generate images based on your own photos in just three steps (by geocine)
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Anti-DreamBooth sd-easy-mode
1 2
181 44
3.3% -
6.8 4.6
7 months ago 3 months ago
Python Python
GNU General Public License v3.0 only -
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.

Anti-DreamBooth

Posts with mentions or reviews of Anti-DreamBooth. We have used some of these posts to build our list of alternatives and similar projects.

sd-easy-mode

Posts with mentions or reviews of sd-easy-mode. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Anti-DreamBooth and sd-easy-mode you can also consider the following projects:

cycle-diffusion - [ICCV 2023] A latent space for stochastic diffusion models

dreambooth-training-action - Train your custom Stable Diffusion model using Tiyaro Dreambooth training API and Github Action

kohya-sd-scripts-webui - Gradio wrapper for sd-scripts by kohya

Dreambooth - Fine-tuning of diffusion models

dream-textures - Stable Diffusion built-in to Blender

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.

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

Sketch-Guided-Stable-Diffusion - Unofficial Implementation of the Google Paper - https://sketch-guided-diffusion.github.io/

storyteller - Multimodal AI Story Teller, built with Stable Diffusion, GPT, and neural text-to-speech