Learn how to setup Hunyuan Video in ComfyUI and how different parameters and methods affect VRAM and generation speed in this tutorial.
Tests are done usin an RTX4090 and L40s in Runpod:
Use this link to use RunPod: https://tinyurl.com/58x2bpp5
Template (pytorch 2.4): https://www.runpod.io/console/explore/mbdoaf7ea1
Template (pytorch 2.2): link: https://www.runpod.io/console/explore/3c0tdgrly3
Tutorial setting Runpod for ComfyUI:
https://youtu.be/kicht5iM-Q8
Hunyuan video example Comfy site: https://tinyurl.com/39kdtb2d
Workflow: https://tinyurl.com/4azsxehw
ComfyAnonymous huggingface (models): https://tinyurl.com/2kh9kpp4
City 96 GGUF models: https://tinyurl.com/yy49f99c (install in models/unet)
Kijay FastVideo Lora: https://tinyurl.com/224v9zhe (install in models/loras)
Hunyuan github: https://tinyurl.com/3vydvzw5
00:00 Intro
00:22 ComfyUI Native support of Hunyuan
00:31 Running ComfyUI in Runpod
00:52 Adding Hunyuan example workflow and setting it up to work in ComfyUI
01:52 What is the Hunyuan Video ComfyUI test about?
02:36 Testing the example worfklow with the new prompt
02:55 Testing different resolution, number of frames and sampler steps
04:21 Reducing VRAM with FP8 weights and GGUF models
06:05 Accelerating video sampling: Fast Video
07:46 Accelerating video sampling: Torch compile
08:25 Accelerating video sampling: Sage Attention
09:01 Accelerating video sampling: Cache methods (Tea Cache and Wave Speed First block)
#animatediff #comfyui #hunyuan
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✂️ Edited with Canva, and ClipChamp. I record the stuff in powerpoint.
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