RRepoGEO

REPOGEO REPORT · LITE

Stability-AI/sd3.5

Default branch main · commit 8565799a · scanned 5/25/2026, 5:37:53 AM

GitHub: 1,500 stars · 146 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 Stability-AI/sd3.5, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    Inference-only reference implementation for Stable Diffusion 3.5 and SD3, including support for SD3.5 Large ControlNets. Designed for partner organizations and developers integrating SD3.5/SD3.
  • mediumreadme#2
    Refine the README's opening paragraph for clarity and differentiation

    Why:

    CURRENT
    # Stable Diffusion 3.5
    
    Inference-only tiny reference implementation of SD3.5 and SD3 - everything you need for simple inference using SD3.5/SD3, as well as the SD3.5 Large ControlNets, excluding the weights files.
    
    Contains code for the text encoders (OpenAI CLIP-L/14, OpenCLIP bigG, Google T5-XXL) (these models are all public), the VAE Decoder (similar to previous SD models, but 16-channels and no postquantconv step), and the core MM-DiT (entirely new).
    
    Note: this repo is a reference library meant to assist partner organizations in implementing SD3.5/SD3. For alternate inference, use Comfy.
    COPY-PASTE FIX
    # Stable Diffusion 3.5 Reference Implementation
    
    This repository provides an inference-only reference implementation for Stable Diffusion 3.5 and SD3, including support for SD3.5 Large ControlNets. It contains all necessary code for simple inference, excluding the model weights themselves. This library is specifically designed to assist partner organizations and developers in integrating SD3.5/SD3 into their applications, offering a foundational codebase for advanced customization. For general-purpose inference with a user interface, consider tools like ComfyUI.
    
    The implementation includes code for the text encoders (OpenAI CLIP-L/14, OpenCLIP bigG, Google T5-XXL), the VAE Decoder (16-channels, no postquantconv step), and the core MM-DiT.

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 Stability-AI/sd3.5
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/diffusers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/diffusers · recommended 1×
  2. PyTorch Hub · recommended 1×
  3. TensorFlow Hub · recommended 1×
  4. keras-team/keras-cv · recommended 1×
  5. open-mmlab/mmgeneration · recommended 1×
  • CATEGORY QUERY
    What open-source libraries offer a reference implementation for generative image model inference?
    you: not recommended
    AI recommended (in order):
    1. Diffusers (huggingface/diffusers)
    2. PyTorch Hub
    3. TensorFlow Hub
    4. KerasCV (keras-team/keras-cv)
    5. MMGeneration (open-mmlab/mmgeneration)
    6. latent-diffusion (CompVis/latent-diffusion)
    7. StyleGAN3 (NVlabs/stylegan3)

    AI recommended 7 alternatives but never named Stability-AI/sd3.5. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking tools to implement text-to-image generation using diffusion models and ControlNets.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Diffusers
    2. Automatic1111 Stable Diffusion Web UI
    3. ComfyUI
    4. PyTorch
    5. KerasCV

    AI recommended 5 alternatives but never named Stability-AI/sd3.5. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 Stability-AI/sd3.5?
    pass
    AI named Stability-AI/sd3.5 explicitly

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

  • If a team adopts Stability-AI/sd3.5 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Stability-AI/sd3.5 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 Stability-AI/sd3.5 solve, and who is the primary audience?
    pass
    AI named Stability-AI/sd3.5 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 Stability-AI/sd3.5. 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/Stability-AI/sd3.5.svg)](https://repogeo.com/en/r/Stability-AI/sd3.5)
HTML
<a href="https://repogeo.com/en/r/Stability-AI/sd3.5"><img src="https://repogeo.com/badge/Stability-AI/sd3.5.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

Stability-AI/sd3.5 — 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