RRepoGEO

REPOGEO REPORT · LITE

kabachuha/sd-webui-text2video

Default branch main · commit 989f5cfe · scanned 5/27/2026, 4:17:35 AM

GitHub: 1,322 stars · 115 forks

AI VISIBILITY SCORE
22 /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
1 / 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 kabachuha/sd-webui-text2video, 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's opening to clearly state it's an Automatic1111 extension

    Why:

    CURRENT
    Auto1111 extension implementing various text2video models, such as ModelScope and VideoCrafter, using only Auto1111 webui dependencies and downloadable models (so no logins required anywhere)
    COPY-PASTE FIX
    This is an extension for AUTOMATIC1111's Stable Diffusion WebUI, enabling text-to-video generation directly within the web interface. It implements various text2video models like ModelScope and VideoCrafter, leveraging only existing Auto1111 dependencies and downloadable models, requiring no external logins.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/kabachuha/sd-webui-text2video
  • lowlicense#3
    Clarify the existing license(s) directly in the README

    Why:

    COPY-PASTE FIX
    This project is licensed under [Specify License Name(s) here, e.g., a custom license or a combination of licenses]. Please refer to the `LICENSE` file for full details.

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 kabachuha/sd-webui-text2video
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RunwayML Gen-2
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. RunwayML Gen-2 · recommended 1×
  2. Pika Labs · recommended 1×
  3. Stable Video Diffusion (SVD) · recommended 1×
  4. Google Lumiere · recommended 1×
  5. Meta Make-A-Video · recommended 1×
  • CATEGORY QUERY
    How can I generate short video clips from text descriptions using AI diffusion models?
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-2
    2. Pika Labs
    3. Stable Video Diffusion (SVD)
    4. Google Lumiere
    5. Meta Make-A-Video
    6. Phenaki
    7. InternVideo

    AI recommended 7 alternatives but never named kabachuha/sd-webui-text2video. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What extension integrates text-to-video capabilities into an existing stable diffusion web interface?
    you: not recommended
    AI recommended (in order):
    1. Deforum Stable Diffusion extension for Automatic1111
    2. SD-CN-Animation (ControlNet Animation) extension for Automatic1111
    3. AnimateDiff extension for Automatic1111
    4. TemporalKit extension for Automatic1111
    5. Text2Video-Zero extension for Automatic1111

    AI recommended 5 alternatives but never named kabachuha/sd-webui-text2video. 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 kabachuha/sd-webui-text2video?
    pass
    AI did not name kabachuha/sd-webui-text2video — 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?

  • If a team adopts kabachuha/sd-webui-text2video in production, what risks or prerequisites should they evaluate first?
    pass
    AI named kabachuha/sd-webui-text2video 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 kabachuha/sd-webui-text2video solve, and who is the primary audience?
    pass
    AI did not name kabachuha/sd-webui-text2video — 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?

Embed your GEO score

Drop this badge into the README of kabachuha/sd-webui-text2video. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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kabachuha/sd-webui-text2video — 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