RRepoGEO

REPOGEO REPORT · LITE

LuChengTHU/dpm-solver

Default branch main · commit 52bc3fbc · scanned 5/9/2026, 12:12:43 AM

GitHub: 1,842 stars · 135 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 LuChengTHU/dpm-solver, 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
  • highabout#1
    Assert canonical status in the 'about' description

    Why:

    CURRENT
    Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
    COPY-PASTE FIX
    The official and canonical reference implementation for the DPM-Solver and DPM-Solver++ methods, widely used for fast, high-quality sampling in diffusion probabilistic models (Neurips 2022 Oral).
  • highhomepage#2
    Add the Hugging Face Space URL as the homepage

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/LuChengTHU/dpmsolver_sdm
  • mediumreadme#3
    Add a sentence to the README clarifying specialized focus

    Why:

    COPY-PASTE FIX
    Insert this sentence after the first paragraph of the README: "Unlike general-purpose ODE solvers, DPM-Solver is specifically designed and optimized for diffusion ODEs, offering superior performance and convergence guarantees for generative AI models without further training."

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 LuChengTHU/dpm-solver
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DPM-Solver++ (2M) SDE
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DPM-Solver++ (2M) SDE · recommended 1×
  2. DPM-Solver++ (2M) Karras · recommended 1×
  3. DDIM · recommended 1×
  4. PLMS · recommended 1×
  5. Euler A (Ancestral) · recommended 1×
  • CATEGORY QUERY
    How to achieve faster, high-quality image generation with diffusion models?
    you: not recommended
    AI recommended (in order):
    1. DPM-Solver++ (2M) SDE
    2. DPM-Solver++ (2M) Karras
    3. DDIM
    4. PLMS
    5. Euler A (Ancestral)
    6. LCM (Latent Consistency Models) Samplers
    7. SDXL Turbo
    8. LCM (Latent Consistency Models)
    9. Kandinsky 3.0
    10. NVIDIA GPUs
    11. PyTorch 2.x (pytorch/pytorch)
    12. ONNX Runtime (microsoft/onnxruntime)
    13. TensorRT (NVIDIA/TensorRT)
    14. optimum (huggingface/optimum)
    15. Hugging Face `diffusers` library (huggingface/diffusers)
    16. Automatic1111's Stable Diffusion WebUI (AUTOMATIC1111/stable-diffusion-webui)
    17. ComfyUI (comfyanonymous/ComfyUI)
    18. xformers (facebookresearch/xformers)

    AI recommended 18 alternatives but never named LuChengTHU/dpm-solver. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for efficient ODE solvers to accelerate sampling in generative AI models.
    you: not recommended
    AI recommended (in order):
    1. DiffEqFlux.jl
    2. torchdiffeq
    3. SciPy solve_ivp
    4. JAX odeint
    5. DifferentialEquations.jl
    6. Euler/Midpoint/RK4

    AI recommended 6 alternatives but never named LuChengTHU/dpm-solver. 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 LuChengTHU/dpm-solver?
    pass
    AI named LuChengTHU/dpm-solver explicitly

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

  • If a team adopts LuChengTHU/dpm-solver in production, what risks or prerequisites should they evaluate first?
    pass
    AI named LuChengTHU/dpm-solver 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 LuChengTHU/dpm-solver solve, and who is the primary audience?
    pass
    AI named LuChengTHU/dpm-solver 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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MARKDOWN (README)
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LuChengTHU/dpm-solver — 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