RRepoGEO

REPOGEO REPORT · LITE

TemryL/ComfyUI-IDM-VTON

Default branch main · commit 5a8334c5 · scanned 6/3/2026, 10:22:47 PM

GitHub: 584 stars · 68 forks

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 TemryL/ComfyUI-IDM-VTON, 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 opening sentence to clarify its core function

    Why:

    CURRENT
    ComfyUI adaptation of IDM-VTON.
    COPY-PASTE FIX
    This repository provides a ComfyUI adaptation of the IDM-VTON model, enabling realistic AI-powered virtual try-on for clothing within ComfyUI workflows.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/TemryL/ComfyUI-IDM-VTON
  • lowreadme#3
    Add a 'Features' section to the README to highlight key capabilities

    Why:

    COPY-PASTE FIX
    ## Features
- **Realistic Virtual Try-On:** Leverage the IDM-VTON model for high-quality, realistic clothing try-on results.
- **ComfyUI Integration:** Seamlessly integrate virtual try-on capabilities into your existing ComfyUI workflows.
- **Automated Mask & DensePose:** Utilizes ComfyUI Segment Anything and ControlNet Auxiliary Preprocessors for efficient mask generation and DensePose estimation.
- **GPU Optimized:** Designed for efficient execution on GPUs (requires 16GB VRAM).

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 TemryL/ComfyUI-IDM-VTON
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepMotion
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepMotion · recommended 1×
  2. Lens Studio · recommended 1×
  3. Ready Player Me · recommended 1×
  4. CLO 3D · recommended 1×
  5. Marvelous Designer · recommended 1×
  • CATEGORY QUERY
    How can I implement virtual try-on features for clothing using AI models?
    you: not recommended
    AI recommended (in order):
    1. DeepMotion
    2. Lens Studio
    3. Ready Player Me
    4. CLO 3D
    5. Marvelous Designer
    6. OpenPose
    7. MediaPipe Pose
    8. SMPL
    9. STAR
    10. Unity
    11. Unreal Engine
    12. ZMO.AI
    13. StyleGAN
    14. GauGAN

    AI recommended 14 alternatives but never named TemryL/ComfyUI-IDM-VTON. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What ComfyUI nodes are available for realistic AI-powered virtual clothing try-on?
    you: not recommended
    AI recommended (in order):
    1. ComfyUI-Impact-Pack
    2. ComfyUI-FashionTryOn
    3. ComfyUI-Dreambooth-SDXL
    4. ComfyUI-Inpaint-Nodes
    5. ComfyUI-Advanced-ControlNet

    AI recommended 5 alternatives but never named TemryL/ComfyUI-IDM-VTON. 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 TemryL/ComfyUI-IDM-VTON?
    pass
    AI named TemryL/ComfyUI-IDM-VTON explicitly

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

  • If a team adopts TemryL/ComfyUI-IDM-VTON in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TemryL/ComfyUI-IDM-VTON 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 TemryL/ComfyUI-IDM-VTON solve, and who is the primary audience?
    pass
    AI did not name TemryL/ComfyUI-IDM-VTON — 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 TemryL/ComfyUI-IDM-VTON. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/TemryL/ComfyUI-IDM-VTON.svg)](https://repogeo.com/en/r/TemryL/ComfyUI-IDM-VTON)
HTML
<a href="https://repogeo.com/en/r/TemryL/ComfyUI-IDM-VTON"><img src="https://repogeo.com/badge/TemryL/ComfyUI-IDM-VTON.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

TemryL/ComfyUI-IDM-VTON — 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