RRepoGEO

REPOGEO REPORT · LITE

HighCWu/ControlLoRA

Default branch main · commit a6891215 · scanned 6/14/2026, 11:57:58 PM

GitHub: 620 stars · 26 forks

AI VISIBILITY SCORE
35 /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
3 / 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 HighCWu/ControlLoRA, 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
  • highreadme#1
    Reposition the README's opening paragraph to emphasize its lightweight alternative status

    Why:

    CURRENT
    # ControlLoRA: A Lightweight Neural Network To Control Stable Diffusion Spatial Information

🎉 2024.7.31： ControlLoRA Version 3 is available in control-lora-3.

🎉 ControlLoRA Version 2 is available in control-lora-2.

EN | [中文](./README_CN.md)

By combining the ideas of lllyasviel/ControlNet and cloneofsimo/lora, we can easily fine-tune stable diffusion to achieve the purpose of controlling its spatial information, with ControlLoRA, a simple and small (~7M parameters, ~25M storage space) network.
    COPY-PASTE FIX
    # ControlLoRA: A Lightweight Neural Network To Control Stable Diffusion Spatial Information

🎉 2024.7.31： ControlLoRA Version 3 is available in control-lora-3.

🎉 ControlLoRA Version 2 is available in control-lora-2.

EN | [中文](./README_CN.md)

ControlLoRA offers a lightweight and efficient alternative to ControlNet for adding spatial control to Stable Diffusion models. By combining the powerful spatial control of ControlNet with the parameter efficiency of LoRA, ControlLoRA enables fine-tuning Stable Diffusion with a simple and small network (~7M parameters, ~25M storage space), making it easy to share and deploy.
  • mediumhomepage#2
    Add a homepage URL, ideally linking to a live demo

    Why:

    COPY-PASTE FIX
    https://huggingface.co/HighCWu/ControlLoRA/tree/main (or a direct link to a live Gradio demo if available)

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 HighCWu/ControlLoRA
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ControlNet
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ControlNet · recommended 2×
  2. T2I-Adapter · recommended 2×
  3. IP-Adapter · recommended 2×
  4. LoRA · recommended 2×
  5. GLIGEN · recommended 1×
  • CATEGORY QUERY
    How can I add spatial control to stable diffusion models with a small, efficient network?
    you: not recommended
    AI recommended (in order):
    1. ControlNet
    2. T2I-Adapter
    3. GLIGEN
    4. IP-Adapter
    5. LoRA

    AI recommended 5 alternatives but never named HighCWu/ControlLoRA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are lightweight alternatives for fine-tuning diffusion models to guide image generation?
    you: not recommended
    AI recommended (in order):
    1. ControlNet
    2. LoRA
    3. DreamBooth
    4. Textual Inversion
    5. IP-Adapter
    6. T2I-Adapter

    AI recommended 6 alternatives but never named HighCWu/ControlLoRA. 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 HighCWu/ControlLoRA?
    pass
    AI named HighCWu/ControlLoRA explicitly

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

  • If a team adopts HighCWu/ControlLoRA in production, what risks or prerequisites should they evaluate first?
    pass
    AI named HighCWu/ControlLoRA 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 HighCWu/ControlLoRA solve, and who is the primary audience?
    pass
    AI named HighCWu/ControlLoRA explicitly

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

Embed your GEO score

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HighCWu/ControlLoRA — 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