RRepoGEO

REPOGEO REPORT · LITE

ashawkey/stable-dreamfusion

Default branch main · commit 5550b918 · scanned 5/23/2026, 9:02:01 AM

GitHub: 8,833 stars · 775 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
47 /100
Critical
Category recall
1 / 2
Avg rank #7.0 when recommended
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 ashawkey/stable-dreamfusion, 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 statement to clarify project type and audience

    Why:

    CURRENT
    A pytorch implementation of the text-to-3D model **Dreamfusion**, powered by the Stable Diffusion text-to-2D model.
    COPY-PASTE FIX
    Stable-Dreamfusion is an open-source PyTorch implementation of the Dreamfusion text-to-3D model, uniquely powered by the accessible Stable Diffusion text-to-2D model. It serves as a research framework for developers and AI practitioners exploring text-to-3D and image-to-3D synthesis.
  • highhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a relevant project homepage URL (e.g., a project page, documentation, or a more official landing page if one exists) to the repository's 'About' section.
  • mediumreadme#3
    Relocate the 'ADVERTISEMENT' for threestudio

    Why:

    CURRENT
    ADVERTISEMENT: Please check out threestudio for recent improvements and better implementation in 3D content generation!
    COPY-PASTE FIX
    Move this advertisement to a new section titled 'Related Projects' or 'See Also' further down the README, ensuring it doesn't immediately follow the project's main description.

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
1 / 2
50% of queries surface ashawkey/stable-dreamfusion
Avg rank
#7.0
Lower is better. #1 = top recommendation.
Share of voice
7%
Of all named tools, what % are you?
Top rival
Blockade Labs DreamFusion API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Blockade Labs DreamFusion API · recommended 1×
  2. Luma AI's Genie · recommended 1×
  3. Spline · recommended 1×
  4. Kaedim · recommended 1×
  5. Meshy · recommended 1×
  • CATEGORY QUERY
    I need a way to create 3D models directly from text descriptions or input images.
    you: not recommended
    AI recommended (in order):
    1. Blockade Labs DreamFusion API
    2. Luma AI's Genie
    3. Spline
    4. Kaedim
    5. Meshy
    6. Masterpiece Studio
    7. RunwayML

    AI recommended 7 alternatives but never named ashawkey/stable-dreamfusion. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which frameworks enable generating 3D assets from text prompts using diffusion and NeRF?
    you: #7
    AI recommended (in order):
    1. DreamFusion
    2. Magic3D
    3. Fantasia3D
    4. Latent-NeRF
    5. GET3D
    6. ProlificDreamer
    7. Stable-DreamFusion ← you
    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 ashawkey/stable-dreamfusion?
    pass
    AI did not name ashawkey/stable-dreamfusion — 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 ashawkey/stable-dreamfusion in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ashawkey/stable-dreamfusion 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 ashawkey/stable-dreamfusion solve, and who is the primary audience?
    pass
    AI named ashawkey/stable-dreamfusion explicitly

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

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ashawkey/stable-dreamfusion — 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