RRepoGEO

REPOGEO REPORT · LITE

bloc97/CrossAttentionControl

Default branch main · commit bcb095b1 · scanned 5/16/2026, 6:38:25 PM

GitHub: 1,341 stars · 86 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
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 bloc97/CrossAttentionControl, 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
    Rephrase README's opening paragraph to highlight unique value proposition

    Why:

    CURRENT
    Unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" with Stable Diffusion, some modifications were made to the methods described in the paper in order to make them work with Stable Diffusion.
    COPY-PASTE FIX
    Achieve fine-grained, mask-free image editing and advanced prompt control in Stable Diffusion without any model fine-tuning. This unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" adapts the paper's methods to work seamlessly with Stable Diffusion, offering unparalleled control over generated images.
  • mediumhomepage#2
    Add a homepage link to the repository's About section

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2208.01626
  • lowtopics#3
    Expand repository topics with application-focused keywords

    Why:

    CURRENT
    cross-attention, deep-learning, diffusion-models, stable-diffusion
    COPY-PASTE FIX
    cross-attention, deep-learning, diffusion-models, stable-diffusion, image-editing, prompt-engineering, generative-ai-control

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 bloc97/CrossAttentionControl
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
InstructPix2Pix
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. InstructPix2Pix · recommended 1×
  2. GLIGEN · recommended 1×
  3. ControlNet · recommended 1×
  4. SoftEdge/HED · recommended 1×
  5. Reference-only ControlNet · recommended 1×
  • CATEGORY QUERY
    How to achieve fine-grained image editing in diffusion models without explicit masks?
    you: not recommended
    AI recommended (in order):
    1. InstructPix2Pix
    2. GLIGEN
    3. ControlNet
    4. SoftEdge/HED
    5. Reference-only ControlNet
    6. IP-Adapter
    7. Prompt-to-Prompt (P2P)
    8. DreamBooth
    9. LoRA
    10. StyleGAN
    11. StyleCLIP

    AI recommended 11 alternatives but never named bloc97/CrossAttentionControl. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable advanced prompt control for stable diffusion without model fine-tuning?
    you: not recommended
    AI recommended (in order):
    1. Automatic1111's Stable Diffusion WebUI
    2. ComfyUI
    3. InvokeAI
    4. Fooocus
    5. Diffusers

    AI recommended 5 alternatives but never named bloc97/CrossAttentionControl. 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 bloc97/CrossAttentionControl?
    pass
    AI did not name bloc97/CrossAttentionControl — 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 bloc97/CrossAttentionControl in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bloc97/CrossAttentionControl 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 bloc97/CrossAttentionControl solve, and who is the primary audience?
    pass
    AI named bloc97/CrossAttentionControl explicitly

    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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bloc97/CrossAttentionControl — 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