RRepoGEO

REPOGEO REPORT · LITE

kohya-ss/sd-scripts

Default branch main · commit a1b48df4 · scanned 5/8/2026, 3:57:09 PM

GitHub: 7,023 stars · 1,189 forks

AI VISIBILITY SCORE
23 /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
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 kohya-ss/sd-scripts, 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 repository description

    Why:

    COPY-PASTE FIX
    Comprehensive scripts for efficient fine-tuning of Stable Diffusion and other image generation models, specializing in techniques like LoRA and LyCORIS for personalized outputs.
  • mediumreadme#2
    Enhance README introduction with core differentiators

    Why:

    CURRENT
    This repository contains training, generation and utility scripts for Stable Diffusion and other image generation models.
    COPY-PASTE FIX
    This repository provides highly optimized and memory-efficient training, generation, and utility scripts for fine-tuning Stable Diffusion and other image generation models, with a strong focus on techniques like LoRA and LyCORIS.

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 kohya-ss/sd-scripts
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch Lightning
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch Lightning · recommended 2×
  2. DeepSpeed · recommended 2×
  3. Hugging Face Accelerate · recommended 1×
  4. NVIDIA Apex · recommended 1×
  5. FairScale · recommended 1×
  • CATEGORY QUERY
    How to efficiently train large deep learning models using PyTorch with performance optimizations?
    you: not recommended
    AI recommended (in order):
    1. PyTorch Lightning
    2. DeepSpeed
    3. Hugging Face Accelerate
    4. NVIDIA Apex
    5. FairScale
    6. torch.compile
    7. Horovod

    AI recommended 7 alternatives but never named kohya-ss/sd-scripts. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools are available for fine-tuning generative AI models on custom datasets?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PyTorch Lightning
    3. Keras
    4. OpenAI API
    5. LoRA
    6. DeepSpeed

    AI recommended 6 alternatives but never named kohya-ss/sd-scripts. 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 kohya-ss/sd-scripts?
    pass
    AI did not name kohya-ss/sd-scripts — 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 kohya-ss/sd-scripts in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kohya-ss/sd-scripts 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 kohya-ss/sd-scripts solve, and who is the primary audience?
    pass
    AI named kohya-ss/sd-scripts explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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