RRepoGEO

REPOGEO REPORT · LITE

erwold/qwen2vl-flux

Default branch main · commit 57e04902 · scanned 6/10/2026, 1:22:42 AM

GitHub: 571 stars · 33 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
30 /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
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 erwold/qwen2vl-flux, 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

    Why:

    COPY-PASTE FIX
    Qwen2VL-Flux is a Julia/Flux.jl implementation of a powerful image generation model, combining Qwen2VL for multimodal understanding with ControlNet for precise structural guidance.
  • highreadme#2
    Reposition the README's opening sentence to highlight Julia/Flux.jl

    Why:

    CURRENT
    # Qwen2VL-Flux: Unifying Image and Text Guidance for Controllable Image Generation

This repository contains a powerful image generation model that combines the capabilities of Stable Diffusion with multimodal understanding.
    COPY-PASTE FIX
    # Qwen2VL-Flux: Unifying Image and Text Guidance for Controllable Image Generation in Julia with Flux.jl

This repository provides a powerful image generation model implemented in Julia using the Flux.jl framework. It combines the capabilities of Stable Diffusion with multimodal understanding.

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 erwold/qwen2vl-flux
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Midjourney
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Midjourney · recommended 1×
  2. Stable Diffusion · recommended 1×
  3. ControlNet · recommended 1×
  4. AUTOMATIC1111/stable-diffusion-webui · recommended 1×
  5. comfyanonymous/ComfyUI · recommended 1×
  • CATEGORY QUERY
    Need a tool to generate and modify images using multimodal text and image guidance.
    you: not recommended
    AI recommended (in order):
    1. Midjourney
    2. Stable Diffusion
    3. ControlNet
    4. Automatic1111 web UI (AUTOMATIC1111/stable-diffusion-webui)
    5. ComfyUI (comfyanonymous/ComfyUI)
    6. DALL-E 3
    7. ChatGPT Plus
    8. Microsoft Copilot Pro
    9. Adobe Firefly
    10. Photoshop
    11. Illustrator
    12. Fooocus (lllyasviel/Fooocus)
    13. Leonardo.Ai

    AI recommended 13 alternatives but never named erwold/qwen2vl-flux. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good options for controllable image generation with ControlNet and vision-language models?
    you: not recommended
    AI recommended (in order):
    1. ComfyUI
    2. Automatic1111's Stable Diffusion web UI
    3. Fooocus
    4. InvokeAI
    5. Diffusers (Hugging Face)

    AI recommended 5 alternatives but never named erwold/qwen2vl-flux. 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 erwold/qwen2vl-flux?
    pass
    AI named erwold/qwen2vl-flux explicitly

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

  • If a team adopts erwold/qwen2vl-flux in production, what risks or prerequisites should they evaluate first?
    pass
    AI named erwold/qwen2vl-flux 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 erwold/qwen2vl-flux solve, and who is the primary audience?
    pass
    AI named erwold/qwen2vl-flux explicitly

    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 erwold/qwen2vl-flux. 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/erwold/qwen2vl-flux.svg)](https://repogeo.com/en/r/erwold/qwen2vl-flux)
HTML
<a href="https://repogeo.com/en/r/erwold/qwen2vl-flux"><img src="https://repogeo.com/badge/erwold/qwen2vl-flux.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

erwold/qwen2vl-flux — 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