REPOGEO REPORT · LITE

Alpha-VLLM/Lumina-mGPT-2.0

Default branch main · commit 0a54b9e0 · scanned 5/20/2026, 8:48:06 AM

GitHub: 1,083 stars · 51 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 Alpha-VLLM/Lumina-mGPT-2.0, 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

hightopics#1

Add specific topics to the repository

Why:

COPY-PASTE FIX

image-generation, text-to-image, image-editing, autoregressive-model, multimodal, deep-learning, computer-vision, generative-ai, foundation-model

highreadme#2

Clarify the README introduction to emphasize image modeling

Why:

CURRENT

We introduce a stand-alone, decoder-only autoregressive model, **trained from scratch**, that unifies a broad spectrum of image generation tasks, including **text-to-image generation, image pair generation, subject-driven generation, multi-turn image editing, controllable generation, and dense prediction**.

COPY-PASTE FIX

Lumina-mGPT 2.0 is a stand-alone, decoder-only autoregressive **image model**, trained from scratch, that unifies a broad spectrum of **image generation tasks**. This includes **text-to-image generation, image pair generation, subject-driven generation, multi-turn image editing, controllable generation, and dense prediction**, distinguishing it from text-focused GPT models.

mediumhomepage#3
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://arxiv.org/abs/2507.17801
```

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 Alpha-VLLM/Lumina-mGPT-2.0

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

DALL-E 3

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

DALL-E 3 · recommended 2×
Stable Diffusion · recommended 1×
SDXL · recommended 1×
SD 1.5 · recommended 1×
Automatic1111 · recommended 1×

CATEGORY QUERY
What models can perform diverse image generation tasks like text-to-image and editing?
you: not recommended
AI recommended (in order):
1. Stable Diffusion
2. SDXL
3. SD 1.5
4. Automatic1111
5. ComfyUI
6. Midjourney
7. DALL-E 3
8. ChatGPT Plus
9. Microsoft Copilot
10. Adobe Firefly
11. Photoshop
12. Illustrator
13. Fooocus
14. Leonardo.Ai
AI recommended 14 alternatives but never named Alpha-VLLM/Lumina-mGPT-2.0. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a stand-alone autoregressive model capable of advanced image generation and editing.
you: not recommended
AI recommended (in order):
1. DALL-E 3
2. Midjourney v6
3. Stable Diffusion XL
4. Imagen
5. Parti
AI recommended 5 alternatives but never named Alpha-VLLM/Lumina-mGPT-2.0. 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 Alpha-VLLM/Lumina-mGPT-2.0?
pass
AI named Alpha-VLLM/Lumina-mGPT-2.0 explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts Alpha-VLLM/Lumina-mGPT-2.0 in production, what risks or prerequisites should they evaluate first?
pass
AI named Alpha-VLLM/Lumina-mGPT-2.0 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 Alpha-VLLM/Lumina-mGPT-2.0 solve, and who is the primary audience?
pass
AI did not name Alpha-VLLM/Lumina-mGPT-2.0 — 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 Alpha-VLLM/Lumina-mGPT-2.0. 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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HTML

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Alpha-VLLM/Lumina-mGPT-2.0 — 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