RRepoGEO

REPOGEO REPORT · LITE

JoePenna/Dreambooth-Stable-Diffusion

Default branch main · commit 4d4e7441 · scanned 5/21/2026, 2:43:27 AM

GitHub: 3,220 stars · 531 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
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 JoePenna/Dreambooth-Stable-Diffusion, 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition the README H1 to specify the project's identity and purpose

    Why:

    CURRENT
    # Extended Dreambooth How-To Guides by Yushan
    COPY-PASTE FIX
    # JoePenna/Dreambooth-Stable-Diffusion: An Accessible Implementation for Fine-Tuning Stable Diffusion Models
    
    ## Extended Dreambooth How-To Guides by Yushan
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/JoePenna/Dreambooth-Stable-Diffusion (or a dedicated project page if one exists)
  • lowtopics#3
    Expand repository topics to include core methods and applications

    Why:

    CURRENT
    ai, artificial-intelligence, image-generation, img2img, latent-diffusion, machine-learning, model-training, stable-diffusion, txt2img
    COPY-PASTE FIX
    ai, artificial-intelligence, dreambooth, face-generation, fine-tuning, image-generation, img2img, latent-diffusion, machine-learning, model-training, object-generation, personalization, stable-diffusion, style-transfer, textual-inversion, txt2img

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 JoePenna/Dreambooth-Stable-Diffusion
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DreamBooth
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DreamBooth · recommended 2×
  2. LoRA · recommended 2×
  3. Textual Inversion · recommended 2×
  4. ControlNet · recommended 2×
  5. Kohya's GUI · recommended 1×
  • CATEGORY QUERY
    How to fine-tune open-source image generation models for specific subjects or styles?
    you: not recommended
    AI recommended (in order):
    1. DreamBooth
    2. LoRA
    3. Textual Inversion
    4. ControlNet
    5. Kohya's GUI
    6. diffusers library
    7. SD-WebUI

    AI recommended 7 alternatives but never named JoePenna/Dreambooth-Stable-Diffusion. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective methods for personalizing AI image generation with custom concepts?
    you: not recommended
    AI recommended (in order):
    1. DreamBooth
    2. Hugging Face Diffusers
    3. Automatic1111 Stable Diffusion WebUI
    4. RunDiffusion
    5. ThinkDiffusion
    6. Vast.ai
    7. LoRA
    8. Kohya's LoRA Trainer
    9. Textual Inversion
    10. InvokeAI
    11. ControlNet
    12. ComfyUI
    13. IP-Adapter

    AI recommended 13 alternatives but never named JoePenna/Dreambooth-Stable-Diffusion. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 JoePenna/Dreambooth-Stable-Diffusion?
    pass
    AI named JoePenna/Dreambooth-Stable-Diffusion explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts JoePenna/Dreambooth-Stable-Diffusion in production, what risks or prerequisites should they evaluate first?
    pass
    AI named JoePenna/Dreambooth-Stable-Diffusion 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 JoePenna/Dreambooth-Stable-Diffusion solve, and who is the primary audience?
    pass
    AI did not name JoePenna/Dreambooth-Stable-Diffusion — 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?

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JoePenna/Dreambooth-Stable-Diffusion — 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