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  • running this on an m1 max 64gb, it produces some really nice clips with music and audio, stitching the clips together after makes a nice short story generated entirely using a local ai system. It takes quite a while to generate each clip though, But at least it is working. I would like to know a few things:

    -Optimal settings/configs examples for h3.c to help speed things up -Optimal recommended generation settings for each mac product, i am sure it is easy to do -Prompt generator assistant

    Great work from the github author. The more i use it the more i realise i don't need a gui to generate video, just terminal.

    My setup: Macbook #1 as a client Macbook #2 as server

    -use macbook #1 terminal + ssh -run mactop in terminal tab to monitor Macbook #2's hardware during ai video generation -run h3.c on Macbook #2 via ssh session -transfer the output video file from macbook #2 to macbook #1 using terminal scp -view the video

  • 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?

  • wow antirez does not sleep
  • This still requires 128Gb of memory, right? Me and my lowly 96Gb, like a commoner; missing out on the fun.
  • 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

  • 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.
  • 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.
  • 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

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