REPOGEO REPORT · LITE

ShiftHackZ/Stable-Diffusion-KMP

Default branch master · commit 87ceab7a · scanned 6/23/2026, 6:11:59 AM

GitHub: 1,211 stars · 132 forks

AI VISIBILITY SCORE

27 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 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 ShiftHackZ/Stable-Diffusion-KMP, 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 H1 to explicitly state it's an application, not a framework

Why:

CURRENT

SDAI is an open-source, cross-platform AI image generation client for Android and iOS.

COPY-PASTE FIX

SDAI is a ready-to-use, open-source, cross-platform AI image generation client *application* for Android and iOS. It offers a complete mobile workflow for Stable Diffusion, distinct from development frameworks or libraries.

hightopics#2

Refine topics to emphasize 'mobile app' and 'client' over implementation details

Why:

CURRENT

ai, android, automatic1111, clean-architecture, compose, compose-ui, coroutines, foss, ios, koin, kotlin, kotlin-multiplatform, material3, multimodule-android-app, mvi, room-database, stable-diffusion, stable-diffusion-mobile, stable-diffusion-webui, viewmodel

COPY-PASTE FIX

ai, android, automatic1111, compose, foss, ios, kotlin, kotlin-multiplatform, stable-diffusion, stable-diffusion-mobile, stable-diffusion-webui, mobile-app, ai-client, image-generation-app, cross-platform-app

mediumabout#3

Enhance the repository description to reinforce its identity as a complete application

Why:

CURRENT

Stable Diffusion AI client app for Android and iOS

COPY-PASTE FIX

A complete, open-source Stable Diffusion AI client *application* for Android and iOS, enabling mobile image generation from various backends.

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 ShiftHackZ/Stable-Diffusion-KMP

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

flutter/flutter

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

flutter/flutter · recommended 1×
facebook/react-native · recommended 1×
dotnet/maui · recommended 1×
ionic-team/ionic-framework · recommended 1×
NativeScript/NativeScript · recommended 1×

CATEGORY QUERY
How to build a cross-platform mobile app for AI image generation?
you: not recommended
AI recommended (in order):
1. Flutter (flutter/flutter)
2. React Native (facebook/react-native)
3. Xamarin (dotnet/maui)
4. Ionic (ionic-team/ionic-framework)
5. NativeScript (NativeScript/NativeScript)
AI recommended 5 alternatives but never named ShiftHackZ/Stable-Diffusion-KMP. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for an open-source mobile client to manage Stable Diffusion models on Android/iOS.
you: not recommended
AI recommended (in order):
1. Draw Things
2. DiffusionBee
3. InvokeAI
4. Automatic1111's Stable Diffusion WebUI
5. ComfyUI
6. FUTO Voice
AI recommended 6 alternatives but never named ShiftHackZ/Stable-Diffusion-KMP. This is the gap to close.
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 ShiftHackZ/Stable-Diffusion-KMP?
pass
AI did not name ShiftHackZ/Stable-Diffusion-KMP — 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?
If a team adopts ShiftHackZ/Stable-Diffusion-KMP in production, what risks or prerequisites should they evaluate first?
pass
AI named ShiftHackZ/Stable-Diffusion-KMP 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 ShiftHackZ/Stable-Diffusion-KMP solve, and who is the primary audience?
pass
AI did not name ShiftHackZ/Stable-Diffusion-KMP — 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

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MARKDOWN (README)

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HTML

<a href="https://repogeo.com/en/r/ShiftHackZ/Stable-Diffusion-KMP"><img src="https://repogeo.com/badge/ShiftHackZ/Stable-Diffusion-KMP.svg" alt="RepoGEO" /></a>

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ShiftHackZ/Stable-Diffusion-KMP — 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