RRepoGEO

REPOGEO REPORT · LITE

gnobitab/InstaFlow

Default branch main · commit f543f81d · scanned 5/9/2026, 10:57:59 PM

GitHub: 1,401 stars · 47 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 gnobitab/InstaFlow, 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
    stable-diffusion, generative-ai, deep-learning, image-generation, rectified-flow, iclr2024, onnx, lora
  • highhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/XCLiu/InstaFlow
  • mediumreadme#3
    Add a direct introductory sentence to the README

    Why:

    COPY-PASTE FIX
    InstaFlow is a cutting-edge research project presenting a one-step stable diffusion model with Rectified Flow, as published at ICLR 2024. This repository provides the official code and pre-trained 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
0 / 2
0% of queries surface gnobitab/InstaFlow
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/diffusers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/diffusers · recommended 2×
  2. comfyanonymous/ComfyUI · recommended 1×
  3. AUTOMATIC1111/stable-diffusion-webui · recommended 1×
  4. facebookresearch/xformers · recommended 1×
  5. vladmandic/automatic · recommended 1×
  • CATEGORY QUERY
    What are fast methods for generating high-quality images using stable diffusion models?
    you: not recommended
    AI recommended (in order):
    1. ComfyUI (comfyanonymous/ComfyUI)
    2. Automatic1111's Stable Diffusion web UI (AUTOMATIC1111/stable-diffusion-webui)
    3. xFormers (facebookresearch/xformers)
    4. SD.Next (vladmandic/automatic)
    5. InvokeAI (invoke-ai/InvokeAI)
    6. Fooocus (lllyasviel/Fooocus)
    7. Diffusers (huggingface/diffusers)
    8. Stability AI's DreamStudio

    AI recommended 8 alternatives but never named gnobitab/InstaFlow. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for efficient stable diffusion models compatible with LoRA and ONNX for faster inference.
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion XL (SDXL)
    2. ONNX Runtime
    3. TensorRT
    4. DirectML
    5. ROCm
    6. Hugging Face
    7. Stable Diffusion 1.5 (SD 1.5)
    8. LCM-LoRA (Latent Consistency Models)
    9. Stable Diffusion 2.1
    10. Mini-SD (Stable Diffusion Tiny)
    11. Diffusers library (huggingface/diffusers)

    AI recommended 11 alternatives but never named gnobitab/InstaFlow. 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 gnobitab/InstaFlow?
    pass
    AI named gnobitab/InstaFlow explicitly

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

  • If a team adopts gnobitab/InstaFlow in production, what risks or prerequisites should they evaluate first?
    pass
    AI named gnobitab/InstaFlow 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 gnobitab/InstaFlow solve, and who is the primary audience?
    pass
    AI named gnobitab/InstaFlow 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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gnobitab/InstaFlow — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite