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
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.
- highabout#1Add a concise repository description
Why:
COPY-PASTE FIXInference-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#2Refine 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.
- huggingface/diffusers · recommended 1×
- PyTorch Hub · recommended 1×
- TensorFlow Hub · recommended 1×
- keras-team/keras-cv · recommended 1×
- open-mmlab/mmgeneration · recommended 1×
- CATEGORY QUERYWhat open-source libraries offer a reference implementation for generative image model inference?you: not recommendedAI recommended (in order):
- Diffusers (huggingface/diffusers)
- PyTorch Hub
- TensorFlow Hub
- KerasCV (keras-team/keras-cv)
- MMGeneration (open-mmlab/mmgeneration)
- latent-diffusion (CompVis/latent-diffusion)
- 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 QUERYSeeking tools to implement text-to-image generation using diffusion models and ControlNets.you: not recommendedAI recommended (in order):
- Hugging Face Diffusers
- Automatic1111 Stable Diffusion Web UI
- ComfyUI
- PyTorch
- 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 completenessfail
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI 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
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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