REPOGEO REPORT · LITE

Tencent-Hunyuan/HunyuanVideo-1.5

Default branch main · commit 60783e70 · scanned 5/23/2026, 1:28:05 AM

GitHub: 4,424 stars · 230 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 Tencent-Hunyuan/HunyuanVideo-1.5, 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

Emphasize "efficient" and "consumer-grade GPU" in the README's first paragraph.

Why:

CURRENT

HunyuanVideo-1.5 is a video generation model that delivers top-tier quality with only 8.3B parameters, significantly lowering the barrier to usage. It runs smoothly on consumer-grade GPUs, making it accessible for every developer and creator.

COPY-PASTE FIX

HunyuanVideo-1.5 is a leading lightweight video generation model designed for efficiency and accessibility. It delivers top-tier video generation quality with only 8.3B parameters, significantly lowering the barrier to usage and running smoothly on consumer-grade GPUs, making it accessible for every developer and creator.

hightopics#2

Expand topics to include keywords related to efficiency and hardware accessibility.

Why:

CURRENT

image-to-video, text-to-video, video-generation

COPY-PASTE FIX

image-to-video, text-to-video, video-generation, lightweight-ai, consumer-gpu, efficient-ai, generative-video

mediumreadme#3

Clarify the project's license in the README.

Why:

COPY-PASTE FIX

## License
This project is licensed under the terms specified in the `LICENSE` file. Please refer to the `LICENSE` file for full details on usage and distribution.

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 Tencent-Hunyuan/HunyuanVideo-1.5

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Stable Video Diffusion (SVD)

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Stable Video Diffusion (SVD) · recommended 2×
AnimateDiff · recommended 1×
ModelScope Text-to-Video Synthesis (T2V) · recommended 1×
Show-1 · recommended 1×
RunwayML Gen-1 / Gen-2 · recommended 1×

CATEGORY QUERY
What are some efficient video generation models that run well on consumer-grade GPUs?
you: not recommended
AI recommended (in order):
1. Stable Video Diffusion (SVD)
2. AnimateDiff
3. ModelScope Text-to-Video Synthesis (T2V)
4. Show-1
5. RunwayML Gen-1 / Gen-2
6. VideoCrafter
AI recommended 6 alternatives but never named Tencent-Hunyuan/HunyuanVideo-1.5. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I generate high-quality video clips from text prompts or still images?
you: not recommended
AI recommended (in order):
1. RunwayML Gen-2
2. Pika Labs
3. Stable Video Diffusion (SVD)
4. Midjourney
5. Kaiber.ai
6. HeyGen
7. DeepMotion
AI recommended 7 alternatives but never named Tencent-Hunyuan/HunyuanVideo-1.5. 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 Tencent-Hunyuan/HunyuanVideo-1.5?
pass
AI named Tencent-Hunyuan/HunyuanVideo-1.5 explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts Tencent-Hunyuan/HunyuanVideo-1.5 in production, what risks or prerequisites should they evaluate first?
pass
AI named Tencent-Hunyuan/HunyuanVideo-1.5 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 Tencent-Hunyuan/HunyuanVideo-1.5 solve, and who is the primary audience?
pass
AI named Tencent-Hunyuan/HunyuanVideo-1.5 explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of Tencent-Hunyuan/HunyuanVideo-1.5. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/Tencent-Hunyuan/HunyuanVideo-1.5.svg)](https://repogeo.com/en/r/Tencent-Hunyuan/HunyuanVideo-1.5)

HTML

<a href="https://repogeo.com/en/r/Tencent-Hunyuan/HunyuanVideo-1.5"><img src="https://repogeo.com/badge/Tencent-Hunyuan/HunyuanVideo-1.5.svg" alt="RepoGEO" /></a>

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Tencent-Hunyuan/HunyuanVideo-1.5 — 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