REPOGEO REPORT · LITE

YangLing0818/RPG-DiffusionMaster

Default branch main · commit c92a8d1a · scanned 5/12/2026, 11:13:54 AM

GitHub: 1,843 stars · 101 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 YangLing0818/RPG-DiffusionMaster, 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

Clarify the 'RPG' acronym in the README's opening sentence

Why:

CURRENT

This repository contains the official implementation of our RPG, accepted by ICML 2024.

COPY-PASTE FIX

This repository contains the official implementation of our **RPG (Recaptioning, Planning, and Generating)** framework, accepted by ICML 2024.

hightopics#2

Add more specific and descriptive topics

Why:

CURRENT

image-editting, large-language-models, multimodal-large-language-models, text-to-image

COPY-PASTE FIX

text-to-image-generation, image-editing, multimodal-llms, prompt-engineering, diffusion-models, training-free, regional-planning, recaptioning, icml-2024

mediumreadme#3

Add a 'Comparison' or 'Why RPG-DiffusionMaster?' section to the README

Why:

COPY-PASTE FIX

Add a new section to the README, such as `## Why RPG-DiffusionMaster? How is it different?`. This section should clarify that RPG-DiffusionMaster is a *framework* for enhancing text-to-image generation using MLLMs for recaptioning and planning, distinguishing it from standalone T2I models (like DALL-E 3) and general MLLM frameworks (like LLaVA).

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 YangLing0818/RPG-DiffusionMaster

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

ChatGPT with DALL-E 3

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

ChatGPT with DALL-E 3 · recommended 1×
Midjourney v6 · recommended 1×
Claude 3 Opus · recommended 1×
GPT-4 · recommended 1×
Stable Diffusion XL (SDXL) · recommended 1×

CATEGORY QUERY
How to enhance text-to-image generation and editing using multimodal LLMs without fine-tuning?
you: not recommended
AI recommended (in order):
1. ChatGPT with DALL-E 3
2. Midjourney v6
3. Claude 3 Opus
4. GPT-4
5. Stable Diffusion XL (SDXL)
6. Fooocus
7. Llama 3
8. Google Gemini (Advanced/Ultra)
9. Adobe Firefly
AI recommended 9 alternatives but never named YangLing0818/RPG-DiffusionMaster. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a framework to leverage MLLMs for intelligent prompt recaptioning and regional image planning.
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers (huggingface/transformers)
2. BLIP-2
3. LLaVA
4. InstructBLIP
5. PyTorch-Lightning (Lightning-AI/pytorch-lightning)
6. OpenAI API
7. GPT-4V
8. MMDetection (open-mmlab/mmdetection)
9. MMEngine (open-mmlab/mmengine)
10. DeepSpeed (microsoft/DeepSpeed)
11. Accelerate (huggingface/accelerate)
AI recommended 11 alternatives but never named YangLing0818/RPG-DiffusionMaster. 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 YangLing0818/RPG-DiffusionMaster?
pass
AI did not name YangLing0818/RPG-DiffusionMaster — 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 YangLing0818/RPG-DiffusionMaster in production, what risks or prerequisites should they evaluate first?
pass
AI named YangLing0818/RPG-DiffusionMaster 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 YangLing0818/RPG-DiffusionMaster solve, and who is the primary audience?
pass
AI did not name YangLing0818/RPG-DiffusionMaster — 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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YangLing0818/RPG-DiffusionMaster — 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