REPOGEO REPORT · LITE

Tencent-Hunyuan/HunyuanVideo-I2V

Default branch main · commit c8bba70b · scanned 5/11/2026, 10:13:37 AM

GitHub: 1,820 stars · 190 forks

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 the README's opening paragraph to highlight customization and PyTorch training

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 customizable, open-source PyTorch library for high-quality image-to-video generation, building on our HunyuanVideo framework. It provides official model definitions, pre-trained weights, inference code, and LoRA training capabilities, enabling researchers and developers to create and customize video effects from still images.

hightopics#2

Add more specific topics to emphasize customization and PyTorch training

Why:

CURRENT

diffusion-models, image-to-video, image-to-video-generation, videogeneration

COPY-PASTE FIX

diffusion-models, image-to-video, image-to-video-generation, videogeneration, pytorch, lora, custom-video-generation, video-editing, generative-ai, ai-research

mediumreadme#3

Add a clear statement about the project's license to the README

Why:

COPY-PASTE FIX

## License
This project is licensed under the terms specified in the [LICENSE](LICENSE) file. Please review the 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-I2V

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

RunwayML Gen-1 / Gen-2

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

RunwayML Gen-1 / Gen-2 · recommended 1×
Pika Labs · recommended 1×
Stable Diffusion · recommended 1×
Deforum Stable Diffusion · recommended 1×
AnimateDiff · recommended 1×

CATEGORY QUERY
How can I generate videos from still images with customizable effects using a diffusion model?
you: not recommended
AI recommended (in order):
1. RunwayML Gen-1 / Gen-2
2. Pika Labs
3. Stable Diffusion
4. Deforum Stable Diffusion
5. AnimateDiff
6. ControlNet
7. Kandinsky 2.2
8. Midjourney
9. Adobe Firefly
AI recommended 9 alternatives but never named Tencent-Hunyuan/HunyuanVideo-I2V. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What open-source PyTorch library allows training custom image-to-video generation models?
you: not recommended
AI recommended (in order):
1. Diffusers
2. Kandinsky
3. VideoCrafter
4. TorchVision
5. PyTorch-Lightning
AI recommended 5 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

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MARKDOWN (README)

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite