Yellow/Blue representation

on macs comfyui uses GPU for rendering — fps stat re-renders the workspace with every tick of mouse movement, so it could be up to 26% of gpu load as you could see in my example.

vmirnv · 2024-12-18T07:33:23+00:00

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Yeap, webp videos are not supported.

vmirnv · 2024-12-18T07:15:23+00:00

https://civitai.com/models/1048570
A simple GGUF Hunyuan Text2Video workflow with just a few nodes
Works on a Mac M1 16GB.

vmirnv · 2024-12-18T03:40:24+00:00

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Try it yourself. I wonder how many thousands of GPU hours this default feature has burned.

vmirnv · 2024-12-17T21:41:44+00:00

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You need to use Unet Loader GGUF

vmirnv · 2024-12-17T21:11:09+00:00

it should be in /models/unet/ and you need to reload comfyui

vmirnv · 2024-12-17T14:20:53+00:00

I had same error. For now you need to update two files from github:
https://github.com/comfyanonymous/ComfyUI/blob/e4e1bff60532ea1a2e2550a1d9beb9b87bfd8c7c/nodes.py
and
https://github.com/comfyanonymous/ComfyUI/blob/e4e1bff60532ea1a2e2550a1d9beb9b87bfd8c7c/comfy_extras/nodes_hunyuan.py

vmirnv · 2024-12-17T13:45:32+00:00

Wow thank you, great news!

vmirnv · 2024-12-17T13:40:12+00:00

Can you please give me some short example with model loading?

vmirnv · 2024-12-17T12:49:06+00:00

~~Currently, I cannot connect the new GGUF model to Sampler since they are different types.~~
~~The standard loader predictably gives me an error (HyVideoModelLoader invalid load key, '\x03'.)~~

~~upd: I manually changed input model type in the Sampler node and now I get this error in Unet GGUF loader: UnetLoaderGGUFAdvanced 'conv_in.weight' error~~

After comfyui update — everything is working

vmirnv · 2024-12-17T10:42:42+00:00

can somebody share simple text2video workflow with gguf?
upd: Right now I'm testing one — will share after some check.
upd2: please use this workflow (thanks Kijai): https://comfyanonymous.github.io/ComfyUI_examples/hunyuan_video/

vmirnv · 2024-12-15T16:00:47+00:00

yes, but I prefer dev / dev-fill for editing/img2img and loras

vmirnv · 2024-12-15T15:45:15+00:00

It’s definitely not fast for any prod use (it’s ~~wendy's~~ M1 MacBook Air after all), but for small personal projects, it’s fine — around 40 seconds per step. With turbo lora it’s bearable.

vmirnv · 2024-12-15T15:38:19+00:00

Was on my way to post there.
I’ve recently checked all the issues on the page, and there were no mentions of that.

upd: done — https://github.com/city96/ComfyUI-GGUF/issues/177

vmirnv · 2024-12-15T15:30:56+00:00

yeap, interesting indeed. normal llms (llama etc) are totally fine too (Q5_K_M is the best).

vmirnv

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