RRepoGEO

REPOGEO REPORT · LITE

Tencent-Hunyuan/HunyuanVideo-I2V

Default branch main · commit c8bba70b · scanned 6/21/2026, 2:38:05 PM

GitHub: 1,832 stars · 190 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
33 /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
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 Tencent-Hunyuan/HunyuanVideo-I2V, 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 core capabilities to the README's opening paragraph

    Why:

    CURRENT
    Following the great successful open-sourcing of our HunyuanVideo, we proudly present the HunyuanVideo-I2V, a new image-to-video generation framework to accelerate open-source community exploration! This repo contains official PyTorch model definitions, pre-trained weights and inference/sampling code. You can find more visualizations on our project page. Meanwhile, we have released the LoRA training code for customizable special effects, which can be used to create more interesting video effects.
    COPY-PASTE FIX
    HunyuanVideo-I2V is a powerful image-to-video generation framework that enables users to create high-quality, short video clips from a single input image. This repository provides official PyTorch model definitions, pre-trained weights, and inference/sampling code. We also offer LoRA training code, allowing for customizable special effects and fine-tuning to achieve unique video styles.
  • mediumreadme#2
    Add a clear license statement to the README

    Why:

    COPY-PASTE FIX
    ## License 
 This project is released under [specify license name(s) and terms, e.g., 'the custom Tencent license as detailed in the LICENSE file'].
  • lowreadme#3
    Introduce a comparison section in the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, such as '## Comparison with Alternatives,' to briefly outline how HunyuanVideo-I2V differentiates itself from other popular image-to-video models like SVD or AnimateDiff.

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-I2V
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AnimateDiff
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AnimateDiff · recommended 2×
  2. ControlNet · recommended 2×
  3. Stable Diffusion · recommended 1×
  4. Moonshot · recommended 1×
  5. ModelScope Text-to-Video Synthesis (T2V) · recommended 1×
  • CATEGORY QUERY
    What open-source models can generate short video clips from a single input image?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. AnimateDiff
    3. ControlNet
    4. Moonshot
    5. ModelScope Text-to-Video Synthesis (T2V)
    6. VideoCrafter
    7. Open-Sora
    8. CogVideo

    AI recommended 8 alternatives but never named Tencent-Hunyuan/HunyuanVideo-I2V. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to train a customizable image-to-video model for specific visual effects?
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-1 / Gen-2
    2. Pika Labs
    3. Stability AI's Stable Video Diffusion (SVD)
    4. Stable Diffusion XL (SDXL)
    5. AnimateDiff
    6. ControlNet
    7. Dreambooth
    8. LoRA
    9. OpenAI's Sora
    10. PyTorch
    11. TensorFlow

    AI recommended 11 alternatives but never named Tencent-Hunyuan/HunyuanVideo-I2V. 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-I2V?
    pass
    AI named Tencent-Hunyuan/HunyuanVideo-I2V 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-I2V in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Tencent-Hunyuan/HunyuanVideo-I2V 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-I2V solve, and who is the primary audience?
    pass
    AI did not name Tencent-Hunyuan/HunyuanVideo-I2V — 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?

Embed your GEO score

Drop this badge into the README of Tencent-Hunyuan/HunyuanVideo-I2V. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/Tencent-Hunyuan/HunyuanVideo-I2V.svg)](https://repogeo.com/en/r/Tencent-Hunyuan/HunyuanVideo-I2V)
HTML
<a href="https://repogeo.com/en/r/Tencent-Hunyuan/HunyuanVideo-I2V"><img src="https://repogeo.com/badge/Tencent-Hunyuan/HunyuanVideo-I2V.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

Tencent-Hunyuan/HunyuanVideo-I2V — 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