REPOGEO REPORT · LITE

FireRedTeam/FireRed-Image-Edit

Default branch main · commit 456d010b · scanned 5/27/2026, 5:23:00 PM

GitHub: 1,226 stars · 74 forks

AI VISIBILITY SCORE

35 /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

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 FireRedTeam/FireRed-Image-Edit, 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

highabout#1

Reposition the repository description to clarify its red team focus

Why:

CURRENT

FireRed-Image-Edit is a powerful image editing foundation model achieving open-source state-of-the-art performance with precise instruction following, high-fidelity generation, superior identity consistency, and seamless multi-element fusion.

COPY-PASTE FIX

FireRed-Image-Edit is a powerful image editing foundation model specifically designed for red team operations, enabling precise instruction following for tasks like payload embedding, metadata manipulation, and steganography with high-fidelity generation and identity consistency.

highreadme#2

Add a clear opening sentence to the README emphasizing red team capabilities

Why:

COPY-PASTE FIX

FireRed-Image-Edit is an advanced image editing foundation model tailored for red team operations, offering capabilities for payload embedding, metadata manipulation, and steganography.

mediumtopics#3

Add specific topics related to red teaming and security

Why:

CURRENT

aigc, deep-learning, diffusion-models, image-generation, image2image, pytorch

COPY-PASTE FIX

aigc, deep-learning, diffusion-models, image-generation, image2image, pytorch, red-team, offensive-security, steganography, payload-embedding, image-manipulation

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 FireRedTeam/FireRed-Image-Edit

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Stable Diffusion XL (SDXL)

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Stable Diffusion XL (SDXL) · recommended 1×
Stable Diffusion 1.5/2.1 · recommended 1×
ControlNet · recommended 1×
DeepFloyd IF · recommended 1×
Kandinsky 2.2 · recommended 1×

CATEGORY QUERY
What open-source image generation models offer precise instruction following and high-fidelity output?
you: not recommended
AI recommended (in order):
1. Stable Diffusion XL (SDXL)
2. Stable Diffusion 1.5/2.1
3. ControlNet
4. DeepFloyd IF
5. Kandinsky 2.2
6. PixArt-α
AI recommended 6 alternatives but never named FireRedTeam/FireRed-Image-Edit. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a PyTorch-based diffusion model for image editing with strong identity consistency and multi-element fusion.
you: not recommended
AI recommended (in order):
1. Diffusers (huggingface/diffusers)
2. ControlNet (lllyasviel/ControlNet)
3. IP-Adapter (tencent-ailab/IP-Adapter)
4. InstantID (InstantID/InstantID)
5. DreamBooth (google/dreambooth)
6. GLIDE
7. CompVis/latent-diffusion (CompVis/latent-diffusion)
AI recommended 7 alternatives but never named FireRedTeam/FireRed-Image-Edit. 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 FireRedTeam/FireRed-Image-Edit?
pass
AI named FireRedTeam/FireRed-Image-Edit explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts FireRedTeam/FireRed-Image-Edit in production, what risks or prerequisites should they evaluate first?
pass
AI named FireRedTeam/FireRed-Image-Edit 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 FireRedTeam/FireRed-Image-Edit solve, and who is the primary audience?
pass
AI named FireRedTeam/FireRed-Image-Edit explicitly
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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Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/FireRedTeam/FireRed-Image-Edit.svg)](https://repogeo.com/en/r/FireRedTeam/FireRed-Image-Edit)

HTML

<a href="https://repogeo.com/en/r/FireRedTeam/FireRed-Image-Edit"><img src="https://repogeo.com/badge/FireRedTeam/FireRed-Image-Edit.svg" alt="RepoGEO" /></a>

Pro

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FireRedTeam/FireRed-Image-Edit — 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