REPOGEO REPORT · LITE

lucidrains/DALLE-pytorch

Default branch main · commit 58c1e1a4 · scanned 6/29/2026, 6:36:58 PM

GitHub: 5,629 stars · 643 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

35 /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

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 lucidrains/DALLE-pytorch, 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

Clarify README's opening sentence to emphasize original DALL-E 1 research implementation

Why:

CURRENT

Implementation / replication of DALL-E (paper), OpenAI's Text to Image Transformer, in Pytorch. It will also contain CLIP for ranking the generations.

COPY-PASTE FIX

This repository is a PyTorch implementation and replication of the *original DALL-E architecture* (from OpenAI's 2021 paper, 'Zero-Shot Text-to-Image Generation'), designed for researchers and developers exploring foundational text-to-image transformers. It includes CLIP for ranking generations.

mediumhomepage#2
Add the original DALL-E paper URL as the repository's homepage
Why:
COPY-PASTE FIX
```
https://arxiv.org/abs/2102.12092
```

lowtopics#3

Add specific topics to highlight the original DALL-E 1 and research implementation

Why:

CURRENT

artificial-intelligence, attention-mechanism, deep-learning, multi-modal, text-to-image, transformers

COPY-PASTE FIX

artificial-intelligence, attention-mechanism, deep-learning, multi-modal, text-to-image, transformers, dalle-1, model-replication, research-implementation

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 lucidrains/DALLE-pytorch

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Stable Diffusion

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Stable Diffusion · recommended 1×
Automatic1111 web UI · recommended 1×
Midjourney · recommended 1×
DALL-E 3 · recommended 1×
Fooocus · recommended 1×

CATEGORY QUERY
How can I generate realistic images from text descriptions using deep learning?
you: not recommended
AI recommended (in order):
1. Stable Diffusion
2. Automatic1111 web UI
3. Midjourney
4. DALL-E 3
5. Fooocus
6. ComfyUI
7. Kandinsky 2.2
8. InvokeAI
AI recommended 8 alternatives but never named lucidrains/DALLE-pytorch. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best open-source Python libraries for text-guided image synthesis?
you: not recommended
AI recommended (in order):
1. Diffusers (huggingface/diffusers)
2. Hugging Face Transformers (huggingface/transformers)
3. KerasCV (keras-team/keras-cv)
4. PyTorch Lightning (Lightning-AI/lightning)
5. TensorFlow (tensorflow/tensorflow)
AI recommended 5 alternatives but never named lucidrains/DALLE-pytorch. 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 lucidrains/DALLE-pytorch?
pass
AI named lucidrains/DALLE-pytorch explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts lucidrains/DALLE-pytorch in production, what risks or prerequisites should they evaluate first?
pass
AI named lucidrains/DALLE-pytorch 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 lucidrains/DALLE-pytorch solve, and who is the primary audience?
pass
AI named lucidrains/DALLE-pytorch 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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MARKDOWN (README)

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lucidrains/DALLE-pytorch — 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