Anti-DreamBooth
Lora-for-Diffusers
Anti-DreamBooth | Lora-for-Diffusers | |
---|---|---|
1 | 2 | |
181 | 704 | |
3.3% | - | |
6.8 | 1.0 | |
7 months ago | about 1 month 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
Lora-for-Diffusers
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Question for LoRA pros
Check this out: https://github.com/haofanwang/Lora-for-Diffusers I assume you created your .safetensors LoRA model with GUI. You can't directly use safetensors like "pipe.unet.load_attn_procs(model_path) " (at least for now). Just check the link
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LoRA? ControlNet? T2I-Adapter? All in Diffusers now!
(1) [LoRA for diffusers]: https://github.com/haofanwang/Lora-for-Diffusers
What are some alternatives?
cycle-diffusion - [ICCV 2023] A latent space for stochastic diffusion models
batch-face-swap - Automaticaly detects faces and replaces them
kohya-sd-scripts-webui - Gradio wrapper for sd-scripts by kohya
stable-diffusion-webui-stable-horde - Stable Horde client for AUTOMATIC1111's Stable Diffusion Web UI
Dreambooth - Fine-tuning of diffusion models
zero123plus - Code repository for Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.
sd-easy-mode - Easy Mode Stable Diffusion process allows you to generate images based on your own photos in just three steps
ControlNet-for-Diffusers - Transfer the ControlNet with any basemodel in diffusers🔥
dreambooth-training-action - Train your custom Stable Diffusion model using Tiyaro Dreambooth training API and Github Action
T2I-Adapter-for-Diffusers - Transfer the T2I-Adapter with any basemodel in diffusers🔥
e4t-diffusion - Implementation of Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models
multi-subject-render - Generate multiple complex subjects all at once!