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Friendly Hunyuan Video 1.5

Updated: Jan 30, 2026

toolworkflowaudiofriendlyhunyuani2v

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Workflows

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Published

Nov 28, 2025

Base Model

Hunyuan Video

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AutoV2
03E3636F3B
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RusselX's Avatar

RusselX

Tencent Hunyuan is licensed under the Tencent Hunyuan Community License Agreement, Copyright Β© 2024 Tencent. All Rights Reserved. The trademark rights of β€œTencent Hunyuan” are owned by Tencent or its affiliate.

Powered by Tencent Hunyuan

Important: if you have any error you should update your ComfyUI to nightly version!

Welcome to my πŸ’«πŸŽ¦ Friendly Hunyuan Video 1.5 (All-in-One T2V, I2V, Audio & Interpolation)

✨ Less mess, more magic

Hunyuan Video 1.5 is a new video generation model with 8.3b parameters under the hood. This makes it a competitor to local Wan models. Thanks to the new 480p step-distilled model (4-12 steps), it generates even slightly faster than Wan 2.2.

🎡 Soundtrack version is here! Create videos with high-quality stereo sound using a friendly workflow! Adjust the volume to your liking (unique feature).

v1.2 based on MultiGPU optimization.

πŸ’» System requirements:

  • Minimum system requirements for 480P fp8 models (less VRAM consumption):

RTX 3000-s, 6GB VRAM, 45GB+ RAM, 8-core processor, SSD, latest ComfyUI

  • Minimum system requirements for 720p fp16 (better quality):

RTX 3000-s, 12GB VRAM, 45GB+ RAM, 8-core processor, SSD, latest ComfyUI

πŸ“Œ Detailed tips and links to models in the workflow

✨ Workflow features:

  • Friendly all-in-one interface with step by step logics: image or text generation, audio, and interpolation

  • Convenient one-click mode switching

  • Workflow based on new Hunyuan Video 1.5 step distilled model, allowing generation in 8-12 steps. Hunyuan Video Foley is responsible for generating high-quality sound

  • Unique volume control function

  • Performance optimization without sacrificing quality for systems with 6GB of video memory or more. 45GB+ RAM recommended

  • VAE optimization for low VRAM consumption

  • Additional color match settings

  • Additional image sharpness settings

  • Detailed tooltips and links to models

πŸ€—πŸ™πŸΌ Thanks to Tencent Team

Original repo β€” GitHub