Model reference · open weights
HunyuanVideo-1.5 is an open-weight video model from tencent. HunyuanVideo-1.5 (BF16) weighs 372 GB; it needs more than the reference configurations below.
Summary of the tencent/HunyuanVideo-1.5 model card, 2026-10-01
What it is
| Released by | tencent |
|---|---|
| Released | 2025-11-18 |
| VRAM | 372 GB for the weights |
What it runs on
| Card | Weights | Memory |
|---|---|---|
| RTX 3060 12 GB … B200 180 GB | does not fit |
From the model card
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!  
generate.py with the --enable_step_distill parameter. See Usage for detailed usage instructions. 🔥🔥🔥🆕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. 🔥🔥🔥🆕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.
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
Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.
Running it yourself
Rent a machine by the hour. ComfyUI is installed on it. Open ComfyUI through the tunnel, then Templates → Hunyuan Video 1.5 Text to Video: it loads ComfyUI's own build of this model, the files above.
# on your rented machine (the ssh line is on its page in the console)
# get REPO FILE FOLDER: one file into /workspace/models/FOLDER, where ComfyUI loads it from
get() { hf download "$1" "$2" --local-dir /workspace/hf-files && mkdir -p "/workspace/models/$3" && mv "/workspace/hf-files/$2" "/workspace/models/$3/$4"; }
# the files of the template “Hunyuan Video 1.5 Text to Video” (42.7 GB)
get Comfy-Org/HunyuanVideo_1.5_repackaged split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors text_encoders
get Comfy-Org/HunyuanVideo_1.5_repackaged split_files/text_encoders/byt5_small_glyphxl_fp16.safetensors text_encoders
get Comfy-Org/HunyuanVideo_1.5_repackaged split_files/diffusion_models/hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors diffusion_models
get Comfy-Org/HunyuanVideo_1.5_repackaged split_files/vae/hunyuanvideo15_vae_fp16.safetensors vae
get Comfy-Org/HunyuanVideo_1.5_repackaged split_files/diffusion_models/hunyuanvideo1.5_720p_t2v_fp16.safetensors diffusion_models
get Comfy-Org/HunyuanVideo_1.5_repackaged split_files/latent_upscale_models/hunyuanvideo15_latent_upsampler_1080p.safetensors latent_upscale_models
start-comfyui# on your computer, in a second terminal: ComfyUI in your browser at http://localhost:8188
# HOST and PORT are your machine's, from its page in the console
ssh -L 8188:localhost:8188 dev@HOST -p PORT