RRepoGEO

REPOGEO REPORT · LITE

TencentARC/T2I-Adapter

Default branch main · commit c408b059 · scanned 5/15/2026, 1:22:29 AM

GitHub: 3,804 stars · 229 forks

AI VISIBILITY SCORE
54 /100
Needs work
Category recall
1 / 2
Avg rank #2.0 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 TencentARC/T2I-Adapter, 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

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the root directory with the chosen open-source license (e.g., MIT, Apache-2.0, or a custom license if applicable).
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ['text-to-image', 'diffusion-models', 'stable-diffusion', 'sdxl', 'controlnet-alternative', 'ai-art', 'generative-ai', 'image-generation', 'deep-learning', 'computer-vision', 'image-control']
  • highabout#3
    Update the repository description

    Why:

    CURRENT
    T2I-Adapter
    COPY-PASTE FIX
    Lightweight adapters for adding fine-grained structural control (e.g., sketch, pose, depth) to Stable Diffusion and SDXL text-to-image models.

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 TencentARC/T2I-Adapter
Avg rank
#2.0
Lower is better. #1 = top recommendation.
Share of voice
8%
Of all named tools, what % are you?
Top rival
ControlNet
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ControlNet · recommended 2×
  2. Regional Prompter · recommended 1×
  3. Latent Couple · recommended 1×
  4. Automatic1111 · recommended 1×
  5. LoRAs · recommended 1×
  • CATEGORY QUERY
    How can I add more fine-grained control to my stable diffusion image generation?
    you: not recommended
    AI recommended (in order):
    1. ControlNet
    2. Regional Prompter
    3. Latent Couple
    4. Automatic1111
    5. LoRAs

    AI recommended 5 alternatives but never named TencentARC/T2I-Adapter. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for methods to guide text-to-image models with edge maps or pose information.
    you: #2
    AI recommended (in order):
    1. ControlNet
    2. T2I-Adapter ← you
    3. GLIGEN
    4. InstructPix2Pix
    5. Pix2Pix
    6. CycleGAN
    7. DeepFill
    8. LaMa
    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 TencentARC/T2I-Adapter?
    pass
    AI named TencentARC/T2I-Adapter explicitly

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

  • If a team adopts TencentARC/T2I-Adapter in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TencentARC/T2I-Adapter 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 TencentARC/T2I-Adapter solve, and who is the primary audience?
    pass
    AI did not name TencentARC/T2I-Adapter — 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 TencentARC/T2I-Adapter. 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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HTML
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TencentARC/T2I-Adapter — 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