RRepoGEO

REPOGEO REPORT · LITE

kohya-ss/sd-scripts

Default branch main · commit 5aacaa97 · scanned 6/18/2026, 7:36:47 AM

GitHub: 7,127 stars · 1,199 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
57 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
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 training, fine-tuning, and optimizing Stable Diffusion and other image generation models, with a focus on VRAM efficiency and advanced features like LoRA and Dreambooth.
  • highreadme#2
    Strengthen the README's introductory sentence to highlight optimization

    Why:

    CURRENT
    This repository contains training, generation and utility scripts for Stable Diffusion and other image generation models.
    COPY-PASTE FIX
    This repository provides advanced training, generation, and utility scripts for Stable Diffusion and other image generation models, with a strong emphasis on optimizing performance, VRAM efficiency, and fine-tuning techniques like LoRA and Dreambooth.

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
1 / 2
50% of queries surface kohya-ss/sd-scripts
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
9%
Of all named tools, what % are you?
Top rival
Automatic1111/stable-diffusion-webui
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Automatic1111/stable-diffusion-webui · recommended 1×
  2. huggingface/diffusers · recommended 1×
  3. bmaltais/kohya_ss-webui · recommended 1×
  4. invoke-ai/InvokeAI · recommended 1×
  5. DeepSpeed · recommended 1×
  • CATEGORY QUERY
    Looking for scripts to train custom Stable Diffusion models for personal use.
    you: #1
    AI recommended (in order):
    1. kohya_ss (kohya-ss/sd-scripts) ← you
    2. A1111 Web UI (Automatic1111/stable-diffusion-webui)
    3. Diffusers (huggingface/diffusers)
    4. SD-WebUI-Kohya-Trainer (bmaltais/kohya_ss-webui)
    5. InvokeAI (invoke-ai/InvokeAI)
    Show full AI answer
  • CATEGORY QUERY
    Need a tool to optimize training performance for large generative AI models.
    you: not recommended
    AI recommended (in order):
    1. DeepSpeed
    2. PyTorch FSDP
    3. NVIDIA Apex
    4. Megatron-LM
    5. Hugging Face Accelerate
    6. Colossal-AI

    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?

Embed your GEO score

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

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/kohya-ss/sd-scripts.svg)](https://repogeo.com/en/r/kohya-ss/sd-scripts)
HTML
<a href="https://repogeo.com/en/r/kohya-ss/sd-scripts"><img src="https://repogeo.com/badge/kohya-ss/sd-scripts.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

kohya-ss/sd-scripts — 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