RRepoGEO

REPOGEO REPORT · LITE

arpitbansal297/Universal-Guided-Diffusion

Default branch main · commit ff82f880 · scanned 6/14/2026, 8:07:45 AM

GitHub: 509 stars · 39 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
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 arpitbansal297/Universal-Guided-Diffusion, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A universal framework for controlling diffusion models with arbitrary guidance modalities (human identity, segmentation, object location, image style, CLIP) without retraining.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    diffusion-models, generative-ai, image-generation, computer-vision, guidance, stable-diffusion, pytorch, deep-learning, ai-art
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., LICENSE.md) in the repository root with a standard open-source license like MIT or Apache-2.0.

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 arpitbansal297/Universal-Guided-Diffusion
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ControlNet
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ControlNet · recommended 2×
  2. Classifier-Free Guidance (CFG) · recommended 1×
  3. T2I-Adapter · recommended 1×
  4. IP-Adapter · recommended 1×
  5. Prompt-to-Prompt (P2P) · recommended 1×
  • CATEGORY QUERY
    How to control diffusion model outputs using various guidance types without retraining?
    you: not recommended
    AI recommended (in order):
    1. Classifier-Free Guidance (CFG)
    2. ControlNet
    3. T2I-Adapter
    4. IP-Adapter
    5. Prompt-to-Prompt (P2P)
    6. Negative Prompting
    7. SDEdit (Stochastic Differential Equation Edit)

    AI recommended 7 alternatives but never named arpitbansal297/Universal-Guided-Diffusion. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework allows guiding image generation with identity, segmentation, or style controls?
    you: not recommended
    AI recommended (in order):
    1. Diffusers (huggingface/diffusers)
    2. ControlNet
    3. KerasCV (keras-team/keras-cv)
    4. PyTorch Lightning (Lightning-AI/lightning)
    5. MMGeneration (open-mmlab/mmgeneration)

    AI recommended 5 alternatives but never named arpitbansal297/Universal-Guided-Diffusion. This is the gap to close.

    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 arpitbansal297/Universal-Guided-Diffusion?
    pass
    AI named arpitbansal297/Universal-Guided-Diffusion explicitly

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

  • If a team adopts arpitbansal297/Universal-Guided-Diffusion in production, what risks or prerequisites should they evaluate first?
    pass
    AI named arpitbansal297/Universal-Guided-Diffusion 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 arpitbansal297/Universal-Guided-Diffusion solve, and who is the primary audience?
    pass
    AI did not name arpitbansal297/Universal-Guided-Diffusion — 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?

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arpitbansal297/Universal-Guided-Diffusion — 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