RRepoGEO

REPOGEO REPORT · LITE

riffusion/riffusion-hobby

Default branch main · commit 94c29abb · scanned 5/23/2026, 4:02:41 PM

GitHub: 3,902 stars · 480 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
28 /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
2 / 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 riffusion/riffusion-hobby, 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's opening to clarify archival status, specific role, and key interfaces

    Why:

    CURRENT
    # :guitar: Riffusion (hobby)

:no_entry: This project is no longer actively maintained.

<a href="https://github.com/riffusion/riffusion/actions/workflows/ci.yml?query=branch%3Amain"></a>

<a href="https://github.com/riffusion/riffusion/tree/main/LICENSE"></a>

Riffusion is a library for real-time music and audio generation with stable diffusion.

Read about it at https://www.riffusion.com/about and try it at https://www.riffusion.com/.

This is the core repository for riffusion image and audio processing code.

 * Diffusion pipeline that performs prompt interpolation combined with image conditioning
 * Conversions between spectrogram images and audio clips
 * Command-line interface for common tasks
 * Interactive app using streamlit
 * Flask server to provide model inference via API
 * Various third party integrations
    COPY-PASTE FIX
    # :guitar: Riffusion (hobby)

This repository, `riffusion/riffusion-hobby`, contains the foundational image and audio processing code for the original Riffusion project. While no longer actively maintained, it serves as an archival reference for understanding the core technology of real-time music generation with stable diffusion. It provides a library for tasks like spectrogram-to-audio conversions, along with a command-line interface, an interactive Streamlit application, and a Flask server for model inference.
  • highabout#2
    Populate the 'Homepage' field in the repository settings

    Why:

    COPY-PASTE FIX
    https://www.riffusion.com/
  • highabout#3
    Refine the repository description to clarify its role as a codebase

    Why:

    CURRENT
    Stable diffusion for real-time music generation
    COPY-PASTE FIX
    Foundational codebase for Riffusion's real-time music generation via stable diffusion, including spectrogram-audio conversions and various interfaces.

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 riffusion/riffusion-hobby
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 1×
  2. riffusion/riffusion · recommended 1×
  3. facebookresearch/audiocraft · recommended 1×
  4. magenta/magenta · recommended 1×
  5. magenta/ddsp · recommended 1×
  • CATEGORY QUERY
    How can I generate music in real-time using AI diffusion models?
    you: not recommended
    AI recommended (in order):
    1. AudioGen (huggingface/transformers)
    2. Riffusion (riffusion/riffusion)
    3. MusicGen (facebookresearch/audiocraft)
    4. Google Magenta (magenta/magenta)
    5. DDSP (magenta/ddsp)
    6. Jukebox (openai/jukebox)
    7. AudioLDM (huggingface/diffusers)

    AI recommended 7 alternatives but never named riffusion/riffusion-hobby. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools convert spectrogram images into high-fidelity audio clips programmatically?
    you: not recommended
    AI recommended (in order):
    1. LibROSA
    2. NumPy
    3. SciPy
    4. PyTorch
    5. TensorFlow
    6. WaveNet
    7. WaveGlow
    8. HiFi-GAN
    9. VocGAN
    10. MATLAB
    11. Signal Processing Toolbox
    12. Praat
    13. Csound
    14. SuperCollider

    AI recommended 14 alternatives but never named riffusion/riffusion-hobby. 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 riffusion/riffusion-hobby?
    pass
    AI did not name riffusion/riffusion-hobby — 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 riffusion/riffusion-hobby in production, what risks or prerequisites should they evaluate first?
    pass
    AI named riffusion/riffusion-hobby 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 riffusion/riffusion-hobby solve, and who is the primary audience?
    pass
    AI named riffusion/riffusion-hobby explicitly

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

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riffusion/riffusion-hobby — 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