REPOGEO REPORT · LITE

open-mmlab/mmagic

Default branch main · commit 0a560bba · scanned 5/23/2026, 11:16:45 AM

GitHub: 7,425 stars · 1,100 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

71 /100

Needs work

Category recall

1 / 2

Avg rank #2.0 when recommended

Rule findings

2 pass · 0 warn · 0 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 open-mmlab/mmagic, 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

Add a concise, developer-focused introductory sentence to the README

Why:

CURRENT

The README's initial content is primarily a large visual title and links, without an immediate, explicit statement of its developer toolbox nature.

COPY-PASTE FIX

Insert the following sentence immediately after the main title `MMagic [em'mædʒɪk])` and before any subsequent links or badges: "MMagic is OpenMMLab's unified, flexible, and extensible *toolbox for researchers and developers* in multimodal advanced, generative, and intelligent creation (AIGC), offering easy-to-use APIs and a comprehensive model zoo for tasks like text-to-image generation, image/video restoration, and enhancement."

mediumreadme#2

Add a 'Who is MMagic for?' section to the README

Why:

COPY-PASTE FIX

Add a new section titled "Who is MMagic for?" or "Target Audience" in the README, stating: "MMagic is designed for *researchers and developers* working on generative AI tasks in computer vision. It provides a flexible, modular framework and a rich model zoo for building, experimenting with, and deploying advanced generative models, rather than being an end-user application."

lowcomparison#3

Add a 'Comparison' section to the README to clarify its role

Why:

COPY-PASTE FIX

Add a new section to the README, e.g., "Comparison with Other Tools" or "MMagic's Unique Position," that clarifies: "Unlike end-user applications such as Midjourney or Adobe Firefly, MMagic is a *developer framework* for building and experimenting with generative AI models. Compared to more specialized libraries like BasicSR or TorchSR, MMagic offers a broader, unified platform for a wide range of multimodal generative tasks."

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

1 / 2

50% of queries surface open-mmlab/mmagic

Avg rank

#2.0

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Midjourney

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Midjourney · recommended 1×
Stability-AI/Stable-Diffusion · recommended 1×
RunwayML · recommended 1×
Pika Labs · recommended 1×
Adobe Firefly · recommended 1×

CATEGORY QUERY
What tools can I use for advanced generative AI image and video creation?
you: not recommended
AI recommended (in order):
1. Midjourney
2. Stable Diffusion (Stability-AI/Stable-Diffusion)
3. RunwayML
4. Pika Labs
5. Adobe Firefly
6. Leonardo.Ai
7. DALL-E 3
AI recommended 7 alternatives but never named open-mmlab/mmagic. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a PyTorch-based library for image and video super-resolution and restoration tasks.
you: #2
AI recommended (in order):
1. BasicSR
2. MMagic ← you
3. TorchSR
4. Open-SR
5. EDSR-PyTorch (XPixel/EDSR-PyTorch)
Show full AI answer

Objective checks

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

Metadata completeness
pass
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 open-mmlab/mmagic?
pass
AI named open-mmlab/mmagic explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts open-mmlab/mmagic in production, what risks or prerequisites should they evaluate first?
pass
AI named open-mmlab/mmagic 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 open-mmlab/mmagic solve, and who is the primary audience?
pass
AI named open-mmlab/mmagic 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 open-mmlab/mmagic. 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)

[![RepoGEO](https://repogeo.com/badge/open-mmlab/mmagic.svg)](https://repogeo.com/en/r/open-mmlab/mmagic)

HTML

<a href="https://repogeo.com/en/r/open-mmlab/mmagic"><img src="https://repogeo.com/badge/open-mmlab/mmagic.svg" alt="RepoGEO" /></a>

Pro

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open-mmlab/mmagic — 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