RRepoGEO

REPOGEO REPORT · LITE

hustvl/LightningDiT

Default branch main · commit f315f25b · scanned 5/16/2026, 2:28:05 PM

GitHub: 1,464 stars · 57 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 hustvl/LightningDiT, 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
    latent-diffusion, diffusion-models, diffusion-transformers, image-generation, deep-learning, pytorch, computer-vision, generative-ai, cvpr-2025
  • mediumreadme#2
    Add a concise, keyword-rich opening sentence to the README

    Why:

    COPY-PASTE FIX
    This repository introduces LightningDiT, a state-of-the-art framework for efficient and high-fidelity latent diffusion image generation, significantly accelerating Diffusion Transformer training.
  • lowhomepage#3
    Add the arXiv paper link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2501.01423

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 hustvl/LightningDiT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch FSDP
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch FSDP · recommended 1×
  2. DeepSpeed · recommended 1×
  3. Accelerate · recommended 1×
  4. FlashAttention · recommended 1×
  5. bitsandbytes · recommended 1×
  • CATEGORY QUERY
    How to accelerate training for high-fidelity latent diffusion models without sacrificing quality?
    you: not recommended
    AI recommended (in order):
    1. PyTorch FSDP
    2. DeepSpeed
    3. Accelerate
    4. FlashAttention
    5. bitsandbytes
    6. xFormers
    7. Apex

    AI recommended 7 alternatives but never named hustvl/LightningDiT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking methods to achieve state-of-the-art image generation with efficient diffusion transformers.
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion (Stability-AI/StableDiffusion)
    2. PixArt (PixArt-alpha/PixArt-alpha)
    3. DiT (facebookresearch/DiT)
    4. Open-Sora (hpcaitech/Open-Sora)
    5. VQ-Diffusion (microsoft/VQ-Diffusion)
    6. DALL-E 3

    AI recommended 6 alternatives but never named hustvl/LightningDiT. 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 hustvl/LightningDiT?
    pass
    AI named hustvl/LightningDiT explicitly

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

  • If a team adopts hustvl/LightningDiT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hustvl/LightningDiT 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 hustvl/LightningDiT solve, and who is the primary audience?
    pass
    AI named hustvl/LightningDiT 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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hustvl/LightningDiT — 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