RRepoGEO

REPOGEO REPORT · LITE

vicgalle/stable-diffusion-aesthetic-gradients

Default branch main · commit 30ca347d · scanned 5/31/2026, 10:47:10 AM

GitHub: 743 stars · 64 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 vicgalle/stable-diffusion-aesthetic-gradients, 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
  • highreadme#1
    Reposition README opening to highlight unique aesthetic personalization

    Why:

    CURRENT
    # Stable Diffusion with Aesthetic Gradients 🎨

This is the codebase for the article Personalizing Text-to-Image Generation via Aesthetic Gradients:

> This work proposes aesthetic gradients, a method to personalize a CLIP-conditioned diffusion model by guiding the generative process towards custom aesthetics defined by the user from a set of images. The approach is validated with qualitative and quantitative experiments, using the recent stable diffusion model and several aesthetically-filtered datasets.
    COPY-PASTE FIX
    # Stable Diffusion with Aesthetic Gradients 🎨

This repository provides a unique method to personalize Stable Diffusion, allowing you to guide text-to-image generation towards custom aesthetic styles defined by your own images. Say goodbye to complex prompt engineering and endless 'spells' – achieve desired image quality and style with ease.

This is the codebase for the article Personalizing Text-to-Image Generation via Aesthetic Gradients:

> This work proposes aesthetic gradients, a method to personalize a CLIP-conditioned diffusion model by guiding the generative process towards custom aesthetics defined by the user from a set of images. The approach is validated with qualitative and quantitative experiments, using the recent stable diffusion model and several aesthetically-filtered datasets.
  • mediumtopics#2
    Add specific topics for aesthetic personalization and gradients

    Why:

    CURRENT
    diffusion-models, laion, stable-diffusion, text-to-image, text2image
    COPY-PASTE FIX
    diffusion-models, laion, stable-diffusion, text-to-image, text2image, aesthetic-personalization, image-aesthetics, ai-art-style, gradient-descent
  • lowreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License

This project is released under the terms specified in the included LICENSE file, which outlines the conditions for use and distribution.

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 vicgalle/stable-diffusion-aesthetic-gradients
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ControlNet
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ControlNet · recommended 2×
  2. DreamBooth · recommended 1×
  3. LoRA · recommended 1×
  4. Textual Inversion · recommended 1×
  5. Kohya_ss GUI · recommended 1×
  • CATEGORY QUERY
    How to personalize text-to-image AI models with custom aesthetic styles from user images?
    you: not recommended
    AI recommended (in order):
    1. DreamBooth
    2. LoRA
    3. Textual Inversion
    4. ControlNet
    5. Kohya_ss GUI
    6. StyleGAN

    AI recommended 6 alternatives but never named vicgalle/stable-diffusion-aesthetic-gradients. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are alternatives to complex prompt engineering for enhancing stable diffusion image quality?
    you: not recommended
    AI recommended (in order):
    1. Automatic1111 web UI
    2. ControlNet
    3. Adetailer
    4. Dynamic Prompts
    5. ESRGAN
    6. SwinIR
    7. ComfyUI
    8. Fooocus
    9. InvokeAI
    10. Midjourney
    11. Magnific AI

    AI recommended 11 alternatives but never named vicgalle/stable-diffusion-aesthetic-gradients. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 vicgalle/stable-diffusion-aesthetic-gradients?
    pass
    AI named vicgalle/stable-diffusion-aesthetic-gradients explicitly

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

  • If a team adopts vicgalle/stable-diffusion-aesthetic-gradients in production, what risks or prerequisites should they evaluate first?
    pass
    AI named vicgalle/stable-diffusion-aesthetic-gradients 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 vicgalle/stable-diffusion-aesthetic-gradients solve, and who is the primary audience?
    pass
    AI did not name vicgalle/stable-diffusion-aesthetic-gradients — 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?

Embed your GEO score

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite