H3-metal – Native MiniMax-H3 inference for Apple Silicon

I've been using MiniMax H3 on my M5 Pro 64GB MacBook Pro through ComfyUI. It works extremely well.

I had to modify the default ComfyUI workflows to use a GGUF quant (city96's ComfyUI-GGUF custom node, UnetLoaderGGUF in place of the stock loader) [0].

I use the model labeled Q5_K_M. There is Q8_0 available as well, which is 34GB and fits fine in 64GB unified memory if you keep resolution modest.

The main issue is speed, a ~9-second 480x864 clip at 20 steps takes me a bit over an hour. So this will be cool to try for the speed up alone.

There's a lot of great information and workflows available to follow on the r/StableDiffusion subreddit.

[0] https://huggingface.co/Abiray/MiniMax-H3-GGUF/tree/main/unet

On my 128GB M4 Max Mac Studio, generating a 15s 480p video with MiniMax H3 in ComfyUI takes an hour and a half.

Put Codex to work on deploying it now, hoping the speed can improve quite a lot :-) Thanks anyway

In the AMA Minimax said that H3 could support sparse attention, that would be a huge speedup! I wonder if there are any news on that. H3 is very cool. EDIT: testing a --sparse-attention optional mode based on what they said in the Reddit post.

This is where the DGX spark makes up a bit of the ground it loses on llm work, diffusion and cuda go together like peanut butter and jelly.

This still requires 128Gb of memory, right? Me and my lowly 96Gb, like a commoner; missing out on the fun.

wow antirez does not sleep

How similar are Jeff Dean and Salvatore Sanfilippo?

Alright I’ve been afraid to ask but have been having trouble finding

What are some adult entertainment workflows in comfyui, I need best loras, best prompts to start with

and the communities, are they on telegram or something?

I'd love to know what the alternatives are and how this is better

[dead]