peterwilli/sd-leap-booster
Fast finetuning using a booster model that puts the initial state to a local minimum
This tool helps AI artists and creators quickly personalize existing image generation models. You provide a small set of your own images, and it rapidly fine-tunes a Stable Diffusion Textual Inversion model to understand a new concept or style from your input. The result is a custom AI model that can generate images reflecting your specific vision, without the need for extensive, time-consuming training.
113 stars. No commits in the last 6 months.
Use this if you are an AI artist or content creator looking to quickly train a Stable Diffusion model to recognize new concepts or styles from your own images, without spending hours or significant money on GPU time.
Not ideal if you need to train a completely new image generation model from scratch, or if you prefer a graphical user interface over command-line instructions.
Stars
113
Forks
12
Language
Python
License
MIT
Category
Last pushed
Aug 29, 2023
Commits (30d)
0
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