RRepoGEO

REPOGEO REPORT · LITE

omerbt/MultiDiffusion

Default branch master · commit 69bcdcef · scanned 5/28/2026, 4:17:42 AM

GitHub: 1,055 stars · 64 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 omerbt/MultiDiffusion, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root, specifying a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) to clarify usage terms.
  • highreadme#2
    Emphasize MultiDiffusion's unique inference-time sampling strategy in the README intro

    Why:

    CURRENT
    MultiDiffusion is a unified framework that enables versatile and controllable image generation, using a pre-trained text-to-image diffusion model, without any further training or finetuning, as described in (link to paper).
    COPY-PASTE FIX
    MultiDiffusion is a unified framework that enables versatile and controllable image generation by **fusing multiple overlapping diffusion paths (patches) during the inference-time sampling process**, using a pre-trained text-to-image diffusion model, without any further training or finetuning, as described in (link to paper).
  • mediumreadme#3
    Explicitly list supported control and editing capabilities in the README

    Why:

    COPY-PASTE FIX
    Add a dedicated section or expand the introduction to explicitly state: 'MultiDiffusion supports a wide range of controlled image generation tasks, including localized and global edits that change the texture of existing objects, augment scenes with semi-transparent effects (e.g., smoke, fire, snow), and achieve fine-grained spatial control over multiple objects and compositions.'

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 omerbt/MultiDiffusion
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ComfyUI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ComfyUI · recommended 2×
  2. ControlNet · recommended 1×
  3. IP-Adapter · recommended 1×
  4. AUTOMATIC1111's WebUI · recommended 1×
  5. Regional Prompter · recommended 1×
  • CATEGORY QUERY
    How to achieve more precise control over text-to-image diffusion model outputs without finetuning?
    you: not recommended
    AI recommended (in order):
    1. ControlNet
    2. IP-Adapter
    3. AUTOMATIC1111's WebUI
    4. Regional Prompter
    5. ComfyUI
    6. InvokeAI
    7. Fooocus

    AI recommended 7 alternatives but never named omerbt/MultiDiffusion. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework allows localized and global edits with pre-trained generative image models?
    you: not recommended
    AI recommended (in order):
    1. Diffusers
    2. Automatic1111 Stable Diffusion Web UI
    3. ComfyUI
    4. KerasCV
    5. PyTorch Lightning
    6. Accelerate

    AI recommended 6 alternatives but never named omerbt/MultiDiffusion. 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 omerbt/MultiDiffusion?
    pass
    AI named omerbt/MultiDiffusion explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts omerbt/MultiDiffusion in production, what risks or prerequisites should they evaluate first?
    pass
    AI named omerbt/MultiDiffusion 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 omerbt/MultiDiffusion solve, and who is the primary audience?
    pass
    AI named omerbt/MultiDiffusion 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 omerbt/MultiDiffusion. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/omerbt/MultiDiffusion.svg)](https://repogeo.com/en/r/omerbt/MultiDiffusion)
HTML
<a href="https://repogeo.com/en/r/omerbt/MultiDiffusion"><img src="https://repogeo.com/badge/omerbt/MultiDiffusion.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

omerbt/MultiDiffusion — 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