RRepoGEO

REPOGEO REPORT · LITE

Xiaojiu-z/EasyControl

Default branch main · commit da44fa8e · scanned 6/28/2026, 11:38:12 PM

GitHub: 1,724 stars · 125 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
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 Xiaojiu-z/EasyControl, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    diffusion-models, diffusion-transformer, generative-ai, computer-vision, controlnet, lora, deep-learning, iccv2025
  • mediumhomepage#2
    Add the project homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://easycontrolproj.github.io/

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 Xiaojiu-z/EasyControl
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. Classifier-Free Guidance (CFG) · recommended 1×
  4. Prompt-to-Prompt (P2P) Editing · recommended 1×
  5. GLIGEN · recommended 1×
  • CATEGORY QUERY
    How to efficiently add flexible control mechanisms to diffusion transformer models?
    you: not recommended
    AI recommended (in order):
    1. ControlNet
    2. T2I-Adapter
    3. Classifier-Free Guidance (CFG)
    4. Prompt-to-Prompt (P2P) Editing
    5. GLIGEN
    6. IP-Adapter
    7. LoRA

    AI recommended 7 alternatives but never named Xiaojiu-z/EasyControl. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework to improve efficiency and adaptability for conditional diffusion transformers.
    you: not recommended
    AI recommended (in order):
    1. Diffusers (huggingface/diffusers)
    2. PyTorch Lightning (Lightning-AI/lightning)
    3. JAX (google/jax)
    4. Flax (google/flax)
    5. Keras (keras-team/keras)
    6. Accelerate (huggingface/accelerate)

    AI recommended 6 alternatives but never named Xiaojiu-z/EasyControl. 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 Xiaojiu-z/EasyControl?
    pass
    AI named Xiaojiu-z/EasyControl explicitly

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

  • If a team adopts Xiaojiu-z/EasyControl in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Xiaojiu-z/EasyControl 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 Xiaojiu-z/EasyControl solve, and who is the primary audience?
    pass
    AI named Xiaojiu-z/EasyControl 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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MARKDOWN (README)
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Pro

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Xiaojiu-z/EasyControl — 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