RRepoGEO

REPOGEO REPORT · LITE

continue-revolution/sd-webui-segment-anything

Default branch master · commit 982138cf · scanned 6/30/2026, 8:58:23 PM

GitHub: 3,501 stars · 222 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
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 continue-revolution/sd-webui-segment-anything, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • highhomepage#2
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL to a relevant page, such as the AUTOMATIC1111 Stable Diffusion WebUI GitHub repo (e.g., https://github.com/AUTOMATIC1111/stable-diffusion-webui) or a dedicated documentation page for the extension.
  • mediumreadme#3
    Refine the README's opening sentence to emphasize its role as an extension

    Why:

    CURRENT
    This extension aim for connecting AUTOMATIC1111 Stable Diffusion WebUI and Mikubill ControlNet Extension with segment anything and GroundingDINO to enhance Stable Diffusion/ControlNet inpainting, enhance ControlNet semantic segmentation, automate image matting and create LoRA/LyCORIS training set.
    COPY-PASTE FIX
    This is an essential extension for AUTOMATIC1111 Stable Diffusion WebUI, integrating Segment Anything and GroundingDINO to significantly enhance inpainting, semantic segmentation, image matting, and LoRA/LyCORIS training set creation.

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 continue-revolution/sd-webui-segment-anything
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
facebookresearch/segment-anything
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. facebookresearch/segment-anything · recommended 1×
  2. RemaskAI · recommended 1×
  3. Adobe Photoshop · recommended 1×
  4. opencv/opencv · recommended 1×
  5. BRIA AI · recommended 1×
  • CATEGORY QUERY
    Seeking a tool to automate object mask generation for enhancing generative AI image editing.
    you: not recommended
    AI recommended (in order):
    1. Segment Anything Model (SAM) (facebookresearch/segment-anything)
    2. RemaskAI
    3. Adobe Photoshop
    4. OpenCV (opencv/opencv)
    5. BRIA AI

    AI recommended 5 alternatives but never named continue-revolution/sd-webui-segment-anything. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's a good way to create precise segmentation masks from text for creative image control?
    you: not recommended
    AI recommended (in order):
    1. Segment Anything Model (SAM)
    2. Grounding DINO
    3. OWL-ViT
    4. CLIPSeg
    5. SEEM (Segment Everything Everywhere All at Once)
    6. Mask2Former
    7. GLIP (Grounded Language-Image Pre-training)

    AI recommended 7 alternatives but never named continue-revolution/sd-webui-segment-anything. 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 continue-revolution/sd-webui-segment-anything?
    pass
    AI did not name continue-revolution/sd-webui-segment-anything — 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 continue-revolution/sd-webui-segment-anything in production, what risks or prerequisites should they evaluate first?
    pass
    AI named continue-revolution/sd-webui-segment-anything 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 continue-revolution/sd-webui-segment-anything solve, and who is the primary audience?
    pass
    AI named continue-revolution/sd-webui-segment-anything explicitly

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

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continue-revolution/sd-webui-segment-anything — 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