RRepoGEO

REPOGEO REPORT · LITE

River-Zhang/ICEdit

Default branch main · commit 74a8f830 · scanned 6/23/2026, 10:08:27 AM

GitHub: 2,096 stars · 112 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
40 /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
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 River-Zhang/ICEdit, 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 concise, domain-specific tagline above the README H1

    Why:

    COPY-PASTE FIX
    ICEdit: Revolutionizing *instructional image editing* with a single LoRA, minimal training data, and low VRAM.
  • mediumtopics#2
    Expand topics to include key differentiators like VRAM, data, and identity preservation

    Why:

    CURRENT
    diffusion, diffusion-models, diffusion-transformer, dit, editing-image, gpt4o, gpt4oimage, image-editing, in-context
    COPY-PASTE FIX
    diffusion, diffusion-models, diffusion-transformer, dit, editing-image, gpt4o, gpt4oimage, image-editing, in-context, low-vram, minimal-training-data, identity-preservation, instructional-image-editing
  • lowlicense#3
    Clarify the existing license(s) directly in the README

    Why:

    COPY-PASTE FIX
    Add a section to the README, for example: "## License
This project includes a LICENSE file detailing its terms. As it is not a standard SPDX template, please review the file directly to understand the specific usage rights and conditions that apply."

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 River-Zhang/ICEdit
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
InstructPix2Pix
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. InstructPix2Pix · recommended 2×
  2. ControlNet · recommended 2×
  3. DreamBooth · recommended 2×
  4. Stable Diffusion 1.5 · recommended 1×
  5. LoRA (Low-Rank Adaptation) · recommended 1×
  • CATEGORY QUERY
    What are efficient image editing models that maintain identity with low VRAM usage?
    you: not recommended
    AI recommended (in order):
    1. InstructPix2Pix
    2. ControlNet
    3. Stable Diffusion 1.5
    4. DreamBooth
    5. LoRA (Low-Rank Adaptation)
    6. GLIDE (Guided Language to Image Diffusion for Editing)
    7. SDEdit (Stochastic Differential Editing)

    AI recommended 7 alternatives but never named River-Zhang/ICEdit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I perform instructional image editing using diffusion models with minimal training data?
    you: not recommended
    AI recommended (in order):
    1. DreamBooth
    2. LoRA
    3. LyCORIS
    4. ControlNet
    5. InstructPix2Pix
    6. GLIGEN

    AI recommended 6 alternatives but never named River-Zhang/ICEdit. 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 River-Zhang/ICEdit?
    pass
    AI named River-Zhang/ICEdit explicitly

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

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

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

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River-Zhang/ICEdit — 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