REPOGEO REPORT · LITE

d8ahazard/sd_dreambooth_extension

Default branch main · commit 4244f6b2 · scanned 5/21/2026, 5:22:39 AM

GitHub: 1,889 stars · 278 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

17 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 0 warn · 1 fail

Objective metadata checks

AI knows your name

1 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface d8ahazard/sd_dreambooth_extension, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highabout#1

Add a concise 'About' description for the repository

Why:

COPY-PASTE FIX

An extension for Stable Diffusion WebUI that enables DreamBooth fine-tuning, optimized for lower-VRAM GPUs and supporting simultaneous multi-concept training.

highreadme#2

Reposition the README's opening paragraph to highlight core value

Why:

CURRENT

This is a WIP port of Shivam Shriao's Diffusers Repo, which is a modified version of the default Huggingface Diffusers Repo optimized for better performance on lower-VRAM GPUs. In addition, there are parts borrowed from Koyha SS by BMaltais. It also adds several other features, including training multiple concepts simultaneously, and (Coming soon) Inpainting training.

COPY-PASTE FIX

The Dreambooth Extension for Stable-Diffusion-WebUI empowers users to fine-tune custom Stable Diffusion models directly within the WebUI. It's optimized for better performance on lower-VRAM GPUs and uniquely supports training multiple concepts simultaneously, making advanced model customization accessible.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface d8ahazard/sd_dreambooth_extension

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Kohya's GUI (kohya_ss)

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Kohya's GUI (kohya_ss) · recommended 1×
Automatic1111 WebUI · recommended 1×
DreamBooth (Automatic1111 Extension) · recommended 1×
LoRA DreamBooth Extension for Automatic1111 · recommended 1×
Diffusers Library (Hugging Face) · recommended 1×

CATEGORY QUERY
How to train custom Stable Diffusion models efficiently within the WebUI, especially on limited VRAM?
you: not recommended
AI recommended (in order):
1. Kohya's GUI (kohya_ss)
2. Automatic1111 WebUI
3. DreamBooth (Automatic1111 Extension)
4. LoRA DreamBooth Extension for Automatic1111
5. Diffusers Library (Hugging Face)
6. bitsandbytes
7. xFormers
AI recommended 7 alternatives but never named d8ahazard/sd_dreambooth_extension. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools enable simultaneous multi-concept training for Stable Diffusion models on consumer hardware?
you: not recommended
AI recommended (in order):
1. Kohya's SD Scripts
2. EveryDream
3. Diffusers Library
4. A1111 Web UI
5. PyTorch Lightning
6. plain PyTorch
AI recommended 6 alternatives but never named d8ahazard/sd_dreambooth_extension. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
fail
Suggestion:
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of d8ahazard/sd_dreambooth_extension?
pass
AI did not name d8ahazard/sd_dreambooth_extension — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts d8ahazard/sd_dreambooth_extension in production, what risks or prerequisites should they evaluate first?
pass
AI named d8ahazard/sd_dreambooth_extension explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo d8ahazard/sd_dreambooth_extension solve, and who is the primary audience?
pass
AI did not name d8ahazard/sd_dreambooth_extension — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of d8ahazard/sd_dreambooth_extension. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/d8ahazard/sd_dreambooth_extension.svg)](https://repogeo.com/en/r/d8ahazard/sd_dreambooth_extension)

HTML

<a href="https://repogeo.com/en/r/d8ahazard/sd_dreambooth_extension"><img src="https://repogeo.com/badge/d8ahazard/sd_dreambooth_extension.svg" alt="RepoGEO" /></a>

Pro

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d8ahazard/sd_dreambooth_extension — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite