RRepoGEO

REPOGEO REPORT · LITE

omerbt/TokenFlow

Default branch master · commit 5dd6a696 · scanned 5/24/2026, 4:18:31 PM

GitHub: 1,711 stars · 142 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 omerbt/TokenFlow, 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 the README's first descriptive sentence to emphasize 'zero-shot method'

    Why:

    CURRENT
    **TokenFlow** is a framework that enables consistent video editing, using a pre-trained text-to-image diffusion model, without any further training or finetuning.
    COPY-PASTE FIX
    **TokenFlow** is a novel zero-shot method and PyTorch framework for achieving consistent video editing using *any* pre-trained text-to-image diffusion model, entirely without further training or fine-tuning.
  • mediumabout#2
    Refine the 'About' description for clearer problem-solution positioning

    Why:

    CURRENT
    Official Pytorch Implementation for "TokenFlow: Consistent Diffusion Features for Consistent Video Editing" presenting "TokenFlow" (ICLR 2024)
    COPY-PASTE FIX
    TokenFlow is a PyTorch implementation of a novel zero-shot method for consistent video editing using existing text-to-image diffusion models, without any training or fine-tuning. (ICLR 2024)
  • lowtopics#3
    Add more specific keywords to the repository topics

    Why:

    CURRENT
    iclr2024, stable-diffusion, text-to-image, text-to-video, tokenflow, video-editing
    COPY-PASTE FIX
    iclr2024, stable-diffusion, text-to-image, text-to-video, tokenflow, video-editing, zero-shot, video-consistency

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 omerbt/TokenFlow
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. RunwayML Gen-1 · recommended 1×
  3. RunwayML Gen-2 · recommended 1×
  4. Stable Diffusion · recommended 1×
  5. FFmpeg · recommended 1×
  • CATEGORY QUERY
    How to achieve consistent video editing using existing text-to-image diffusion models?
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-1
    2. RunwayML Gen-2
    3. Stable Diffusion
    4. ControlNet
    5. FFmpeg
    6. OpenCV
    7. Automatic1111's WebUI
    8. ComfyUI
    9. Deforum Stable Diffusion
    10. EbSynth
    11. Kandinsky 2.x
    12. Midjourney

    AI recommended 12 alternatives but never named omerbt/TokenFlow. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a method for zero-shot video editing with stable diffusion without model fine-tuning.
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-1 / Gen-2
    2. Pika Labs
    3. ControlNet
    4. AnimateDiff
    5. Stable Video Diffusion (SVD)
    6. Moonvalley

    AI recommended 6 alternatives but never named omerbt/TokenFlow. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 omerbt/TokenFlow?
    pass
    AI named omerbt/TokenFlow explicitly

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

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