Model reference · open weights

HunyuanVideo-1.5

Available as managed deployment Licence fee Video tencent Text→video 1 variants 2k dl/mo

HunyuanVideo-1.5 is an open-weight video model from tencent. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Makertencent
TypeVideo models
TaskText→video
Runs withHunyuanVideo-1.5
Released2025-11-18
Popularity2k downloads / month
LicenceCommercial licence needed

About

What HunyuanVideo-1.5 is

中文文档

HunyuanVideo-1.5

🎬 HunyuanVideo-1.5: A leading lightweight video generation model

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. This repository provides the implementation and tools needed to generate creative videos.

💻 Official website Try our model!&nbsp&nbsp

🔥🔥🔥 News

  • 🚀 Dec 23, 2025: Fp8 gemm inference is supported! 🔥🔥🔥🆕
  • 🚀 Dec 05, 2025: New Release: We now release the 480p I2V step-distilled model, which generates videos in 8 or 12 steps (recommended)! On RTX 4090, end-to-end generation time is reduced by 75%, and a single RTX 4090 can generate videos within 75 seconds. The step-distilled model maintains comparable quality to the original model while achieving significant speedup. See Step Distillation Comparison for detailed quality comparisons. For even faster generation, you can also try 4 steps (faster speed with slightly reduced quality). To enable the step-distilled model, run generate.py with the --enable_step_distill parameter. See Usage for detailed usage instructions. 🔥🔥🔥🆕
  • 📚 Dec 05, 2025: Training Code & LoRA Tuning Script Released: We now open-source the training code for HunyuanVideo-1.5! The training script (train.py) provides a full training pipeline with support for distributed training, FSDP, context parallel, gradient checkpointing, and more. HunyuanVideo-1.5 is trained using the Muon optimizer, which we have open-sourced in the Training section. If you would like to continue training our model or fine-tune it with LoRA, please use the Muon optimizer. See Training section for detailed usage instructions. 🔥🔥🔥🆕
  • 🎉 Diffusers Support: HunyuanVideo-1.5 is now available on Hugging Face Diffusers! Check out Diffusers collection for easy integration. 🔥🔥🔥🆕
  • 🚀 Nov 27, 2025: We now support cache inference (deepcache, teacache, taylorcache), achieving significant speedup! Pull the latest code to try it.
  • 🚀 Nov 24, 2025: We now support deepcache inference.
  • 👋 Nov 20, 2025: We release the inference code and model weights of HunyuanVideo-1.5.

🎥 Demo

🧩 Community Contributions

If you develop/use HunyuanVideo-1.5 in your projects, welcome to let us know.

  • Diffusers - HunyuanVideo-1.5 Diffusers: Official Hugging Face Diffusers integration for HunyuanVideo-1.5. Easily use HunyuanVideo-1.5 with the Diffusers library for seamless integration into your projects. See Usage with Diffusers section for details.

  • ComfyUI - ComfyUI: A powerful and modular diffusion model GUI with a graph/nodes interface. ComfyUI supports HunyuanVideo-1.5 with various engineering optimizations for fast inference. We provide a ComfyUI Usage Guide for HunyuanVideo-1.5.

  • Community-implemented ComfyUI Plugin - comfyui_hunyuanvideo_1.5_plugin: A community-implemented ComfyUI plugin for HunyuanVideo-1.5, offering both simplified and complete node sets for quick usage or deep workflow customization, with built-in automatic model download support.

  • LightX2V - LightX2V: A lightweight and efficient video generation framework that integrates HunyuanVideo-1.5, supporting multiple engineering acceleration techniques for fast inference.

  • Wan2GP v9.62 - Wan2GP: WanGP is a very low VRAM app (as low 6 GB of VRAM for Hunyuan Video 1.5) supports Lora Accelerator for a 8 steps generation and offers tools to facilitate Video Generation.

  • ComfyUI-MagCache - ComfyUI-MagCache: MagCache is a training-free caching approach that accelerates video generation by estimating fluctuating differences among model outputs across timesteps. It achieves 1.7x speedup for HunyuanVideo-1.5 with 20 inference steps.

📑 Open-source Plan

  • HunyuanVideo-1.5 (T2V/I2V)
    • [x] Inference Code and checkpoints
    • [x] ComfyUI Support
    • [x] LightX2V Support
    • [x] Diffusers Support
    • [ ] Release all model weights (Sparse attention, distill model, and SR models)

📋 Table of Contents

📖 Introduction

We present HunyuanVideo-1.5, a lightweight yet powerful video generation model that achieves state-of-the-art visual quality and motion coherence with only 8.3 billion parameters, enablin

From the published model card. Full card on the HuggingFace links in the sidebar.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys hunyuanvideo-1-5 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (hunyuanvideo-1-5 below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/videos/generations \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"hunyuanvideo-1-5","prompt":"a drone shot over a forest"}'

Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.

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