RRepoGEO

REPOGEO REPORT · LITE

XLabs-AI/x-flux-comfyui

Default branch main · commit 00328556 · scanned 5/21/2026, 4:58:03 AM

GitHub: 1,705 stars · 104 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
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 XLabs-AI/x-flux-comfyui, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise description to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    ComfyUI custom nodes and models (ControlNets, LoRAs) specifically trained for FLUX.1 [dev], including low VRAM optimizations.
  • highreadme#2
    Add a clear introductory sentence to the README

    Why:

    COPY-PASTE FIX
    This repository provides custom nodes and trained models (ControlNets, LoRAs) for integrating FLUX.1 [dev] into ComfyUI workflows, with support for low VRAM environments.

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 XLabs-AI/x-flux-comfyui
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ComfyUI-Impact-Pack
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ComfyUI-Impact-Pack · recommended 2×
  2. ltdrdata/ComfyUI-Manager · recommended 1×
  3. ComfyUI_IPAdapter_plus · recommended 1×
  4. ComfyUI_ControlNet_Aux · recommended 1×
  5. Efficiency Nodes for ComfyUI · recommended 1×
  • CATEGORY QUERY
    How to integrate advanced AI models like LoRAs and ControlNets into ComfyUI workflows?
    you: not recommended
    AI recommended (in order):
    1. ComfyUI Manager (ltdrdata/ComfyUI-Manager)
    2. ComfyUI-Impact-Pack
    3. ComfyUI_IPAdapter_plus
    4. ComfyUI_ControlNet_Aux
    5. Efficiency Nodes for ComfyUI

    AI recommended 5 alternatives but never named XLabs-AI/x-flux-comfyui. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking ComfyUI extensions for running large diffusion models efficiently on low VRAM.
    you: not recommended
    AI recommended (in order):
    1. ComfyUI-Impact-Pack
    2. ComfyUI-Advanced-ControlNet
    3. ComfyUI-AnimateDiff-Evolved
    4. ComfyUI-Custom-Scripts
    5. ComfyUI-VRAM-Optimized-Samplers
    6. Ultimate SD Upscale

    AI recommended 6 alternatives but never named XLabs-AI/x-flux-comfyui. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 XLabs-AI/x-flux-comfyui?
    pass
    AI named XLabs-AI/x-flux-comfyui explicitly

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

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

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XLabs-AI/x-flux-comfyui — 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