RRepoGEO

REPOGEO REPORT · LITE

Fantasy-Studio/Paint-by-Example

Default branch main · commit 52a7e373 · scanned 6/25/2026, 3:48:02 PM

GitHub: 1,250 stars · 113 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 Fantasy-Studio/Paint-by-Example, 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
    Add a clear positioning statement after the H1

    Why:

    CURRENT
    ### Paper | Huggingface Demo 

Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen and Fang Wen.

## Abstract
>Language-guided image editing has achieved great success recently. In this paper, for the first time, we investigate exemplar-guided image editing for more precise control.
    COPY-PASTE FIX
    This repository provides the official PyTorch implementation for "Paint by Example: Exemplar-based Image Editing with Diffusion Models", enabling precise, exemplar-guided image manipulation.

### Paper | Huggingface Demo 

Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen and Fang Wen.

## Abstract
>Language-guided image editing has achieved great success recently. In this paper, for the first time, we investigate exemplar-guided image editing for more precise control.
  • mediumreadme#2
    Add a License section to the README

    Why:

    COPY-PASTE FIX
    ## License
This project is released under [specify license name(s) or terms, e.g., a custom research license or a combination of licenses]. Please refer to the `LICENSE` file for full details.
  • mediumreadme#3
    Add a 'Key Features' section to the README

    Why:

    COPY-PASTE FIX
    ## Key Features
- **Exemplar-guided Image Editing:** Precisely control image generation and manipulation using a reference example image.
- **Inpainting and Outpainting:** Seamlessly fill missing regions or extend images while matching style and content from an exemplar.
- **Diffusion Model Integration:** Leverages Stable Diffusion for high-fidelity results without iterative optimization.
- **PyTorch Implementation:** Provides a flexible and extensible codebase for 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 Fantasy-Studio/Paint-by-Example
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Adobe Photoshop
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Adobe Photoshop · recommended 1×
  2. Midjourney · recommended 1×
  3. Stable Diffusion · recommended 1×
  4. RunwayML · recommended 1×
  5. DALL-E 3 · recommended 1×
  • CATEGORY QUERY
    How can I precisely edit an image's content or style using a reference example image?
    you: not recommended
    AI recommended (in order):
    1. Adobe Photoshop
    2. Midjourney
    3. Stable Diffusion
    4. RunwayML
    5. DALL-E 3
    6. ChatGPT Plus
    7. Krita
    8. GIMP

    AI recommended 8 alternatives but never named Fantasy-Studio/Paint-by-Example. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are efficient diffusion model approaches for image manipulation guided by an example photo?
    you: not recommended
    AI recommended (in order):
    1. ControlNet
    2. IP-Adapter
    3. InstructPix2Pix
    4. DreamBooth
    5. LoRA
    6. GLIGEN
    7. StyleGAN
    8. StyleGAN-XL
    9. SDEdit

    AI recommended 9 alternatives but never named Fantasy-Studio/Paint-by-Example. 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 Fantasy-Studio/Paint-by-Example?
    pass
    AI did not name Fantasy-Studio/Paint-by-Example — 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 Fantasy-Studio/Paint-by-Example in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Fantasy-Studio/Paint-by-Example 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 Fantasy-Studio/Paint-by-Example solve, and who is the primary audience?
    pass
    AI named Fantasy-Studio/Paint-by-Example explicitly

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

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Fantasy-Studio/Paint-by-Example — 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