HunyuanVideo Guide 2026: Tencent's Open Source Video Model, From Install to First Clip
Open source video generation finally arrived, and Tencent's HunyuanVideo is one of the most capable. This guide covers hardware, install and the first real generation.
💡 What You Will Learn
Open source video generation finally arrived, and Tencent's HunyuanVideo is one of the most capable. This guide covers hardware, install and the first real generation.
📜 Table of Contents
What HunyuanVideo Is
HunyuanVideo (12,423 stars, fetched 2026-08-13) is Tencent's open source text-to-video and image-to-video model. Released in late 2024 with weights published openly, it produces 720p video with a strong grasp of motion physics - objects move the way they should, which was the weak point of earlier open models. The 1.5 generation, released in 2025, improved motion quality, and it pairs well with other open video models like LTX-Video (10,843 stars) for fast drafts.
Hardware Reality Check
This is the part tutorials skip. HunyuanVideo full-precision inference wants around 60 GB VRAM for 720p; with quantization and offloading you can run shorter clips on a 24 GB card, but expect slow generation. The realistic 2026 setup is a rented GPU (A100/H100 class) via RunPod, Vast.ai or similar, or a ComfyUI workflow that handles the VRAM juggling for you.
Install Path (ComfyUI)
- Install ComfyUI and the ComfyUI-VideoHelperSuite custom node.
- Download the HunyuanVideo model weights into ComfyUI/models/diffusion_models.
- Use the official example workflow: text prompt โ text encoder โ diffusion โ VAE decode โ video file.
- Start with 5 seconds at 512x320 to validate the pipeline before spending GPU hours on 720p.
Prompting for Video
Video prompts are not image prompts. The model needs motion described explicitly:
- Good: a red fox walks across a snowy field, snow falling, camera follows, shallow depth of field
- Bad: a fox in the snow
Include subject, action, environment, camera movement and lighting. The camera movement line is what separates cinematic output from static clips - and it is the line most people forget.
Image-to-Video: The Practical Superpower
For most users, HunyuanVideo's image-to-video mode is the killer feature: give it one still frame and it animates it. Product shots become product videos, a single illustration becomes a scene. The workflow is the same, with an image node feeding the diffusion stage. This is the mode that costs least in trial-and-error, because the composition is already decided.
Common Failure Modes
- Black or frozen frames: VRAM overflow or a mismatch between the VAE and model resolution. Drop resolution, not prompt quality.
- Morphing subjects: motion too violent for the frame count. Extend duration or simplify the action.
- Slow generation: expected at 720p. Use the fast-draft model for iteration, the big model for the final render.
