RRepoGEO

REPOGEO REPORT · LITE

tencent-ailab/IP-Adapter

Default branch main · commit 62e4af9d · scanned 5/10/2026, 8:58:09 AM

GitHub: 6,560 stars · 430 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 tencent-ailab/IP-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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    diffusion-models, image-to-image, generative-ai, stable-diffusion, image-prompting, ai-art, deep-learning, computer-vision, face-id
  • highhomepage#2
    Add the project homepage URL

    Why:

    COPY-PASTE FIX
    https://ip-adapter.github.io
  • mediumreadme#3
    Refine the README introduction for explicit positioning

    Why:

    CURRENT
    we present IP-Adapter, an effective and lightweight adapter to achieve image prompt capability for the pre-trained text-to-image diffusion models.
    COPY-PASTE FIX
    IP-Adapter is an effective and lightweight adapter designed to bring powerful image prompting capabilities to pre-trained text-to-image diffusion models like Stable Diffusion and those in the Hugging Face Diffusers library, enabling multimodal image generation without extensive fine-tuning.

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 tencent-ailab/IP-Adapter
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stable Diffusion
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Diffusion · recommended 2×
  2. AUTOMATIC1111/stable-diffusion-webui · recommended 2×
  3. comfyanonymous/ComfyUI · recommended 2×
  4. huggingface/diffusers · recommended 2×
  5. Midjourney · recommended 2×
  • CATEGORY QUERY
    How can I use an image as a prompt for a pre-trained text-to-image diffusion model?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. ControlNet
    3. AUTOMATIC1111's Stable Diffusion web UI (AUTOMATIC1111/stable-diffusion-webui)
    4. ComfyUI (comfyanonymous/ComfyUI)
    5. Hugging Face Diffusers Library (huggingface/diffusers)
    6. Midjourney
    7. DALL-E 3
    8. ChatGPT Plus
    9. Fooocus (lllyasviel/Fooocus)
    10. InvokeAI (invoke-ai/InvokeAI)

    AI recommended 10 alternatives but never named tencent-ailab/IP-Adapter. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are efficient ways to integrate image prompts with text prompts for generative AI?
    you: not recommended
    AI recommended (in order):
    1. OpenAI CLIP
    2. OpenCLIP (mlfoundations/open_clip)
    3. Stable Diffusion
    4. Automatic1111 web UI (AUTOMATIC1111/stable-diffusion-webui)
    5. Hugging Face Diffusers library (huggingface/diffusers)
    6. GPT-4V (GPT-4 with Vision)
    7. LLaVA (Large Language and Vision Assistant) (haotian-liu/LLaVA)
    8. BLIP-2 (Bootstrapping Language-Image Pre-training with Frozen Encoders) (salesforce/BLIP)
    9. InstructBLIP (salesforce/LAVIS)
    10. ControlNet (lllyasviel/ControlNet)
    11. ComfyUI (comfyanonymous/ComfyUI)
    12. Midjourney
    13. PyTorch (pytorch/pytorch)
    14. TensorFlow (tensorflow/tensorflow)

    AI recommended 14 alternatives but never named tencent-ailab/IP-Adapter. 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 tencent-ailab/IP-Adapter?
    pass
    AI named tencent-ailab/IP-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 tencent-ailab/IP-Adapter in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tencent-ailab/IP-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 tencent-ailab/IP-Adapter solve, and who is the primary audience?
    pass
    AI named tencent-ailab/IP-Adapter 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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HTML
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tencent-ailab/IP-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