tencent-hunyuan/hunyuanvideo-1.5

HunyuanVideo-1.5: A leading lightweight video generation model

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Summary Information

Updated 17 minutes ago
Added to GitGenius on September 15th, 2026
Created on November 20th, 2025
Open Issues & Pull Requests: 37 (+0)
GitHub issues: Enabled
Number of forks: 226
Total Stargazers: 4,551 (+0)
Total Subscribers: 81 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 12.6 hours
Mean response time: 3.7 days
90th percentile: 11.4 days
Tracked items: 39

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How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 10% of issues opened in the past year have been closed.

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Issue Activity (beta)

Open issues: 32
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 259 days
Stale 30+ days: 32
Stale 90+ days: 30

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

HunyuanVideo-1.5 is a video generation model that creates videos from text and images with a lightweight architecture optimized for consumer hardware.

The tool addresses the challenge of making high-quality video generation accessible by combining competitive output quality with a compact parameter count that allows execution on consumer-grade GPUs. It supports both text-to-video and image-to-video generation modes, eliminating the need for expensive enterprise infrastructure while maintaining generation quality.

Developers should choose this tool if they need video generation capabilities without access to high-end hardware or large computational budgets. It suits projects ranging from creative applications to developer tools where video synthesis is a component rather than the primary focus. The model is designed to lower barriers to entry for creators and developers working with video generation.

The project maintains active development with regular updates and provides multiple integration pathways including ComfyUI support, making it accessible through both direct implementation and established node-based workflows. Documentation includes a prompt handbook to guide effective usage, and the tool is distributed through standard model repositories alongside an official website for testing. Community engagement is supported through multiple channels including Discord and WeChat communities.