RRepoGEO

REPOGEO REPORT · LITE

google/prompt-to-prompt

Default branch main · commit 9c472e44 · scanned 5/10/2026, 5:37:39 PM

GitHub: 3,446 stars · 318 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 google/prompt-to-prompt, 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
    Add a concise description to the repository's "About" section

    Why:

    COPY-PASTE FIX
    A method and implementation for semantically editing text-to-image diffusion model outputs by modifying prompts while preserving original image composition.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    text-to-image, diffusion-models, stable-diffusion, latent-diffusion, prompt-engineering, image-editing, generative-ai, pytorch
  • mediumreadme#3
    Refine the README's opening statement

    Why:

    CURRENT
    > *Latent Diffusion* and *Stable Diffusion* Implementation
    COPY-PASTE FIX
    > A method and implementation for semantically editing text-to-image diffusion model outputs (like Latent Diffusion and Stable Diffusion) by modifying prompts, allowing targeted image modifications while preserving original composition. Primarily for AI researchers and developers.

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 google/prompt-to-prompt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. Hugging Face Diffusers Library · recommended 1×
  3. Stability AI API · recommended 1×
  4. Google Cloud Vertex AI · recommended 1×
  5. Midjourney API · recommended 1×
  • CATEGORY QUERY
    How to programmatically control image generation output by modifying text prompts?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Hugging Face Diffusers Library
    3. Stability AI API
    4. Google Cloud Vertex AI
    5. Midjourney API
    6. RunDiffusion
    7. Replicate
    8. Beam
    9. Fooocus

    AI recommended 9 alternatives but never named google/prompt-to-prompt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python tools for fine-tuning image generation from stable diffusion models using prompt variations?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Diffusers
    2. PyTorch Lightning
    3. Accelerate
    4. xFormers
    5. bitsandbytes
    6. OpenMMLab's MMEngine / MMDetection / MMGeneration

    AI recommended 6 alternatives but never named google/prompt-to-prompt. 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 google/prompt-to-prompt?
    pass
    AI named google/prompt-to-prompt explicitly

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

  • If a team adopts google/prompt-to-prompt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named google/prompt-to-prompt 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 google/prompt-to-prompt solve, and who is the primary audience?
    pass
    AI named google/prompt-to-prompt explicitly

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

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Pro

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google/prompt-to-prompt — 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