Dreambooth-Stable-Diffusion and stable-dreambooth

These are competitors offering alternative implementations of the same Dreambooth fine-tuning technique for Stable Diffusion, with the first providing a more feature-rich reference implementation while the second prioritizes code simplicity and accessibility.

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 20/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 17/25
Stars: 7,744
Forks: 804
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 145
Forks: 22
Downloads:
Commits (30d): 0
Language: Python
License:
Stale 6m No Package No Dependents
Archived No License Stale 6m No Package No Dependents

About Dreambooth-Stable-Diffusion

XavierXiao/Dreambooth-Stable-Diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

This tool helps you train a personalized image generation model to create unique images of specific subjects or styles. You provide a few images of your desired subject (like your pet or a specific product), and it produces a custom AI model that can generate new images of that subject in various scenarios or styles. This is ideal for artists, marketers, or anyone needing to generate consistent, tailored visual content.

custom-image-generation digital-art brand-identity content-creation visual-marketing

About stable-dreambooth

Victarry/stable-dreambooth

Dreambooth implementation based on Stable Diffusion with minimal code.

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