RRepoGEO

REPOGEO REPORT · LITE

ChenWu98/cycle-diffusion

Default branch main · commit 3edb980d · scanned 6/5/2026, 6:28:16 AM

GitHub: 656 stars · 37 forks

AI VISIBILITY SCORE
28 /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
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 ChenWu98/cycle-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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening to highlight its core problem-solving application

    Why:

    CURRENT
    Official PyTorch implementation of our paper:
**Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance**
    COPY-PASTE FIX
    CycleDiffusion provides a novel method for unifying diffusion models' latent spaces, enabling advanced applications like zero-shot image editing and guidance. This PyTorch implementation of our ICCV 2023 paper offers fine-grained control over generative models, going beyond general-purpose diffusion tools.
  • highhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/ChenWu98/Stable-CycleDiffusion

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 ChenWu98/cycle-diffusion
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Diffusion · recommended 1×
  2. SDXL · recommended 1×
  3. ControlNet · recommended 1×
  4. Midjourney · recommended 1×
  5. DALL-E 3 · recommended 1×
  • CATEGORY QUERY
    How to achieve zero-shot image editing and guidance using advanced generative models?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. SDXL
    3. ControlNet
    4. Midjourney
    5. DALL-E 3
    6. ChatGPT Plus/API
    7. InstructPix2Pix
    8. GLIDE
    9. DreamBooth
    10. LoRA

    AI recommended 10 alternatives but never named ChenWu98/cycle-diffusion. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks allow unifying or manipulating the latent space of stochastic diffusion models?
    you: not recommended
    AI recommended (in order):
    1. Diffusers
    2. PyTorch
    3. PyTorch Lightning
    4. Keras
    5. TensorFlow
    6. OpenMMLab's MMDetection/MMGeneration
    7. NVIDIA's StyleGAN3 codebase
    8. JAX
    9. Flax
    10. Equinox

    AI recommended 10 alternatives but never named ChenWu98/cycle-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
    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 ChenWu98/cycle-diffusion?
    pass
    AI named ChenWu98/cycle-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 ChenWu98/cycle-diffusion in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ChenWu98/cycle-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 ChenWu98/cycle-diffusion solve, and who is the primary audience?
    pass
    AI did not name ChenWu98/cycle-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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ChenWu98/cycle-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