PRIV-Creation/UniDiffusion
A Diffusion training toolbox based on diffusers and existing SOTA methods, including Dreambooth, Texual Inversion, LoRA, Custom Diffusion, XTI, ....
UniDiffusion is a toolkit for researchers and advanced users to fine-tune and customize Stable Diffusion models. It allows you to precisely control which parts of a diffusion model are trained and how, using various methods like LoRA or textual inversion. This tool is for those who want to deeply customize their image generation models beyond basic use.
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Use this if you are a machine learning researcher or an advanced practitioner who needs fine-grained control over the training process of Stable Diffusion models for highly customized image generation.
Not ideal if you are looking for a simple, out-of-the-box solution for generating images without needing to delve into complex model training configurations.
Stars
84
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 06, 2024
Commits (30d)
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