RRepoGEO

REPOGEO REPORT · LITE

openai/consistency_models

Default branch main · commit e32b69ee · scanned 5/15/2026, 7:18:01 PM

GitHub: 6,484 stars · 434 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 openai/consistency_models, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    pytorch, generative-models, consistency-models, image-generation, deep-learning, research-code, diffusion-models, machine-learning
  • highreadme#2
    Reposition the README H1 and opening sentence to clarify its role as a research codebase

    Why:

    CURRENT
    # Consistency Models
    
    This repository contains the codebase for Consistency Models, implemented using PyTorch for conducting large-scale experiments on ImageNet-64, LSUN Bedroom-256, and LSUN Cat-256.
    COPY-PASTE FIX
    # Consistency Models: Official PyTorch Research Codebase
    
    This repository provides the official PyTorch implementation of Consistency Models, designed for conducting large-scale research experiments on high-quality image generation. It supports consistency distillation, consistency training, and various sampling and editing algorithms.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [Insert URL of the official project page or associated research paper here]

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 openai/consistency_models
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stable Diffusion XL (SDXL)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Diffusion XL (SDXL) · recommended 1×
  2. Midjourney v6 · recommended 1×
  3. DALL-E 3 · recommended 1×
  4. ComfyUI · recommended 1×
  5. Fooocus · recommended 1×
  • CATEGORY QUERY
    How to generate high-quality images efficiently using advanced diffusion models?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion XL (SDXL)
    2. Midjourney v6
    3. DALL-E 3
    4. ComfyUI
    5. Fooocus
    6. Automatic1111's Stable Diffusion WebUI

    AI recommended 6 alternatives but never named openai/consistency_models. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good PyTorch libraries for fast image generation with consistency training?
    you: not recommended
    AI recommended (in order):
    1. Diffusers
    2. Kandinsky
    3. OpenAI's Consistency Models Official Codebase
    4. PyTorch-Lightning
    5. Accelerate (huggingface/accelerate)
    6. xFormers

    AI recommended 6 alternatives but never named openai/consistency_models. 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 openai/consistency_models?
    pass
    AI named openai/consistency_models explicitly

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

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

Subscribe to Pro for deep diagnoses

openai/consistency_models — 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