JoePenna/Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1446
- days_rel: n/a
- days_push: 968
- n_releases_24m: 0
Adoption not part of the score
3211 stars · 525 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Jupyter Notebook-based implementation of Dreambooth fine-tuning for Stable Diffusion, adapted from XavierXiao's repo with tweaks for training faces, objects, and styles. It includes setup guides for cloud GPUs (RunPod, Vast.ai, Colab) and local environments, plus captioning and multi-concept support.
Use cases
- train stable diffusion on my own face
- fine-tune stable diffusion with dreambooth
- create ai images of a specific person or object
- train a stable diffusion model on a custom style
- run dreambooth training on google colab or runpod
- learn how to debug dreambooth training results
When to choose
- you want a battle-tested, guide-rich dreambooth setup focused on faces and people
- you need step-by-step instructions for cloud GPU providers or local setups
- you want captioning and multi-concept training support for stable diffusion
When to avoid
- you need a maintained tool with recent updates for the latest stable diffusion versions
- you want a polished GUI rather than notebooks and command-line configs
- you are training models other than stable diffusion
Facets
library · maturity maintenance
machine-learning llm-training image-processing artificial-intelligence machine-learning image-processing python windows stable-diffusion dreambooth textual-inversion fine-tuning diffusers txt2img img2img latent-diffusion jupyter-notebook face-training gpu linux macos
1 source
- readme: https://github.com/JoePenna/Dreambooth-Stable-Diffusion · fetched 2026-08-28 · cc6486cd331b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| JoePenna/Dreambooth-Stable-Diffusion | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="JoePenna/Dreambooth-Stable-Diffusion")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem