RRepoGEO

REPOGEO REPORT · LITE

Yuanshi9815/OminiControl

Default branch main · commit 331dd34e · scanned 5/14/2026, 5:23:14 AM

GitHub: 1,909 stars · 146 forks

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 Yuanshi9815/OminiControl, 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 core value proposition in the README

    Why:

    CURRENT
    # OminiControl
    
    <br>
    
    <a href="https://huggingface.co/Yuanshi/OminiControl"></a>
    ...
    > **OminiControl: Minimal and Universal Control for Diffusion Transformer**
    COPY-PASTE FIX
    # OminiControl
    
    This repository presents OminiControl, a minimal and universal control framework for Diffusion Transformer models like FLUX, enabling both subject-driven and spatial control.
    
    <br>
    
    <a href="https://huggingface.co/Yuanshi/OminiControl"></a>
  • mediumhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2411.15098

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 Yuanshi9815/OminiControl
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ControlNet
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ControlNet · recommended 1×
  2. T2I-Adapter · recommended 1×
  3. IP-Adapter · recommended 1×
  4. LoRA · recommended 1×
  5. DreamBooth · recommended 1×
  • CATEGORY QUERY
    How to achieve universal and minimal control for diffusion transformer models?
    you: not recommended
    AI recommended (in order):
    1. ControlNet
    2. T2I-Adapter
    3. IP-Adapter
    4. LoRA
    5. DreamBooth
    6. Textual Inversion
    7. GLIGEN
    8. DiffEdit

    AI recommended 8 alternatives but never named Yuanshi9815/OminiControl. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks offer subject-driven and spatial control for generative AI models?
    you: not recommended
    AI recommended (in order):
    1. Diffusers (huggingface/diffusers)
    2. Automatic1111 (AUTOMATIC1111/stable-diffusion-webui)
    3. ComfyUI (comfyanonymous/ComfyUI)
    4. Gradio (gradio-app/gradio)
    5. Streamlit (streamlit/streamlit)
    6. PyTorch (pytorch/pytorch)
    7. TensorFlow (tensorflow/tensorflow)
    8. MMGeneration (open-mmlab/mmgeneration)
    9. MMDetection (open-mmlab/mmdetection)

    AI recommended 9 alternatives but never named Yuanshi9815/OminiControl. 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 Yuanshi9815/OminiControl?
    pass
    AI named Yuanshi9815/OminiControl explicitly

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

  • If a team adopts Yuanshi9815/OminiControl in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Yuanshi9815/OminiControl 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 Yuanshi9815/OminiControl solve, and who is the primary audience?
    pass
    AI did not name Yuanshi9815/OminiControl — 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 Yuanshi9815/OminiControl. 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)
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Yuanshi9815/OminiControl — 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