RRepoGEO

REPOGEO REPORT · LITE

Janspiry/Palette-Image-to-Image-Diffusion-Models

Default branch main · commit 136b29f5 · scanned 5/15/2026, 8:13:10 PM

GitHub: 1,812 stars · 238 forks

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 Janspiry/Palette-Image-to-Image-Diffusion-Models, 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 task capabilities

    Why:

    CURRENT
    This is an unofficial implementation of **Palette: Image-to-Image Diffusion Models** by **Pytorch**, and it is mainly inherited from its super-resolution version Image-Super-Resolution-via-Iterative-Refinement. The code template is from my another seed project: distributed-pytorch-template.
    COPY-PASTE FIX
    This repository offers a PyTorch implementation of **Palette: Image-to-Image Diffusion Models**, enabling various image-to-image translation tasks such as inpainting, uncropping, and colorization. It serves as a robust framework for researchers and developers working with diffusion models for image restoration.
  • mediumtopics#2
    Add task-specific topics for better categorization

    Why:

    CURRENT
    ddp, ddpm, diffusion-model, image-restoration, implementation, pytorch
    COPY-PASTE FIX
    ddp, ddpm, diffusion-model, image-restoration, implementation, pytorch, image-to-image, inpainting, colorization, uncropping
  • lowabout#3
    Refine repository description for clarity and task focus

    Why:

    CURRENT
    Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
    COPY-PASTE FIX
    PyTorch implementation of Palette: Image-to-Image Diffusion Models for diverse image-to-image tasks like inpainting, uncropping, and colorization.

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 Janspiry/Palette-Image-to-Image-Diffusion-Models
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openai/guided-diffusion
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/guided-diffusion · recommended 2×
  2. lucidrains/denoising-diffusion-pytorch · recommended 2×
  3. Diffusers · recommended 1×
  4. KerasCV · recommended 1×
  5. CompVis/latent-diffusion · recommended 1×
  • CATEGORY QUERY
    Looking for PyTorch implementations of diffusion models for various image-to-image translation tasks.
    you: not recommended
    AI recommended (in order):
    1. Diffusers
    2. KerasCV
    3. latent-diffusion (CompVis/latent-diffusion)
    4. guided-diffusion (openai/guided-diffusion)
    5. denoising-diffusion-pytorch (lucidrains/denoising-diffusion-pytorch)
    6. minDiffusion (cloneofsimo/minDiffusion)

    AI recommended 6 alternatives but never named Janspiry/Palette-Image-to-Image-Diffusion-Models. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which diffusion model libraries in PyTorch support image restoration and inpainting applications?
    you: not recommended
    AI recommended (in order):
    1. Diffusers (huggingface/diffusers)
    2. KerasCV (keras-team/keras-cv)
    3. PyTorch Diffusion (lucidrains/denoising-diffusion-pytorch)
    4. MMDetection (open-mmlab/mmdetection)
    5. MMEditing (open-mmlab/mmediting)
    6. Clean Diffusion (openai/guided-diffusion)

    AI recommended 6 alternatives but never named Janspiry/Palette-Image-to-Image-Diffusion-Models. 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 Janspiry/Palette-Image-to-Image-Diffusion-Models?
    pass
    AI named Janspiry/Palette-Image-to-Image-Diffusion-Models explicitly

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

  • If a team adopts Janspiry/Palette-Image-to-Image-Diffusion-Models in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Janspiry/Palette-Image-to-Image-Diffusion-Models 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 Janspiry/Palette-Image-to-Image-Diffusion-Models solve, and who is the primary audience?
    pass
    AI did not name Janspiry/Palette-Image-to-Image-Diffusion-Models — 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?

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