RRepoGEO

REPOGEO REPORT · LITE

tdrussell/diffusion-pipe

Default branch main · commit 5aa65772 · scanned 6/23/2026, 6:03:53 AM

GitHub: 1,976 stars · 278 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 tdrussell/diffusion-pipe, 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
  • highreadme#1
    Reposition README H1 and opening sentence to clarify specialized focus

    Why:

    CURRENT
    # diffusion-pipe
A pipeline parallel training script for diffusion models.
    COPY-PASTE FIX
    # diffusion-pipe: Pipeline Parallel Training for Large Diffusion Models
A specialized framework for researchers and developers to efficiently train custom, large-scale image and video diffusion models using pipeline parallelism across multiple GPUs.
  • hightopics#2
    Add specific topics for diffusion model training and parallelism

    Why:

    COPY-PASTE FIX
    diffusion-models, deep-learning, distributed-training, pipeline-parallelism, image-generation, video-generation, stable-diffusion, machine-learning, pytorch
  • mediumhomepage#3
    Set the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/tdrussell/diffusion-pipe

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 tdrussell/diffusion-pipe
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepSpeed
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepSpeed · recommended 1×
  2. Megatron-LM · recommended 1×
  3. Hugging Face Accelerate · recommended 1×
  4. PyTorch FSDP · recommended 1×
  5. Colossal-AI · recommended 1×
  • CATEGORY QUERY
    How to train large diffusion models efficiently across multiple GPUs using pipeline parallelism?
    you: not recommended
    AI recommended (in order):
    1. DeepSpeed
    2. Megatron-LM
    3. Hugging Face Accelerate
    4. PyTorch FSDP
    5. Colossal-AI
    6. FairScale

    AI recommended 6 alternatives but never named tdrussell/diffusion-pipe. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework to train both image and video diffusion models with unified support.
    you: not recommended
    AI recommended (in order):
    1. Diffusers (huggingface/diffusers)
    2. KerasCV (keras-team/keras-cv)
    3. PyTorch Lightning (Lightning-AI/lightning)
    4. MMDiffusion (open-mmlab/mmdiffusion)
    5. Accelerate (huggingface/accelerate)

    AI recommended 5 alternatives but never named tdrussell/diffusion-pipe. 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 tdrussell/diffusion-pipe?
    pass
    AI named tdrussell/diffusion-pipe explicitly

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

  • If a team adopts tdrussell/diffusion-pipe in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tdrussell/diffusion-pipe 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 tdrussell/diffusion-pipe solve, and who is the primary audience?
    pass
    AI named tdrussell/diffusion-pipe explicitly

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

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tdrussell/diffusion-pipe — 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