RRepoGEO

REPOGEO REPORT · LITE

chengzeyi/Comfy-WaveSpeed

Default branch main · commit 82537451 · scanned 5/23/2026, 7:32:43 PM

GitHub: 1,226 stars · 65 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
28 /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
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 chengzeyi/Comfy-WaveSpeed, 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
  • highreadme#1
    Reposition the core value proposition in the README's opening

    Why:

    CURRENT
    # Comfy-WaveSpeed

Blazing Fast FLUX-dev with LoRAs

Blazing Fast Wan 2.1 T2V with LoRAs

Blazing Fast Wan 2.1 I2V with LoRAs

[WIP] The all in one inference optimization solution for ComfyUI, universal, flexible, and fast.
    COPY-PASTE FIX
    # Comfy-WaveSpeed: The All-in-One Inference Optimization Solution for ComfyUI

This project provides a universal, flexible, and fast solution to significantly speed up ComfyUI inference, especially for large models and complex workflows. It includes features like Dynamic Caching (First Block Cache) and Enhanced `torch.compile`.

Blazing Fast FLUX-dev with LoRAs

Blazing Fast Wan 2.1 T2V with LoRAs

Blazing Fast Wan 2.1 I2V with LoRAs
  • mediumhomepage#2
    Add the project homepage to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://wavespeed.ai/

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 chengzeyi/Comfy-WaveSpeed
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
pytorch/pytorch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. pytorch/pytorch · recommended 2×
  2. NVIDIA GeForce RTX 4090 · recommended 1×
  3. NVIDIA GeForce RTX 4080 Super · recommended 1×
  4. NVIDIA GeForce RTX 3090/3090 Ti · recommended 1×
  5. NVIDIA GeForce RTX 4070 Ti Super · recommended 1×
  • CATEGORY QUERY
    How to speed up ComfyUI inference for large models and complex workflows?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA GeForce RTX 4090
    2. NVIDIA GeForce RTX 4080 Super
    3. NVIDIA GeForce RTX 3090/3090 Ti
    4. NVIDIA GeForce RTX 4070 Ti Super
    5. ComfyUI (comfyanonymous/ComfyUI)
    6. NVIDIA Drivers
    7. PyTorch (pytorch/pytorch)
    8. xformers (facebookresearch/xformers)
    9. torch.compile (pytorch/pytorch)

    AI recommended 9 alternatives but never named chengzeyi/Comfy-WaveSpeed. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a ComfyUI extension to optimize generation performance with LoRAs and caching.
    you: not recommended
    AI recommended (in order):
    1. ComfyUI-AnimateDiff-Evolved
    2. ComfyUI-Impact-Pack
    3. ComfyUI-Efficiency-Nodes
    4. ComfyUI-Advanced-ControlNet
    5. ComfyUI-Custom-Scripts

    AI recommended 5 alternatives but never named chengzeyi/Comfy-WaveSpeed. 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 chengzeyi/Comfy-WaveSpeed?
    pass
    AI did not name chengzeyi/Comfy-WaveSpeed — 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 chengzeyi/Comfy-WaveSpeed in production, what risks or prerequisites should they evaluate first?
    pass
    AI named chengzeyi/Comfy-WaveSpeed 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 chengzeyi/Comfy-WaveSpeed solve, and who is the primary audience?
    pass
    AI named chengzeyi/Comfy-WaveSpeed 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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chengzeyi/Comfy-WaveSpeed — 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