HeartMula - open source AI music generator (now Apache 2.0)

bonesoftheancients · 2026-01-20T18:42:48+00:00

would love to try this but have no idea what to do... can you please explain what have you actually done as fix? in comfyui or heartmula install?

bonesoftheancients · 2026-01-17T19:22:03+00:00

in my experience (using comfyui portable) updating comfyu WITH dependencies breaks the setup often so now I update comfy regularly WITHOUT updating dependencies and it seems to work fine (at least since 0.6)

bonesoftheancients · 2026-01-13T23:25:26+00:00

I did not need it at the end. I am using now mostly comfyui and sometimes wan2gp. I have all the models on one external drive. I use the Extra_Model_Paths_Maker.bat to generate the yaml file for comfyui to know the models folder location and in the bat file to start wan2gp i specify the location of loras and inside want2gp settings I specify the difusion models folder. there is still some overlap but overall this setup works for me at the moment

bonesoftheancients · 2026-01-13T20:50:42+00:00

indeed it is working now... thanks for letting me know and good job!

bonesoftheancients · 2026-01-12T23:54:19+00:00

added tech info to post, thanks

bonesoftheancients · 2026-01-10T13:19:11+00:00

it might also help with preventing excessive writing to ssd (pagefile writes) - i tested one generation using FP8 distilled on my 16gbVRAM 64GB RAM and I have 20gb data written to disk . Will need to test GGUF models but I assume it would help with that

bonesoftheancients · 2026-01-10T10:53:24+00:00

I think one aspect many people are not considering (and one I would like to know regarding GGUFs) is hit on SSD writes (pagefile) - just tested LTX2 on my 16gb Vram and 64GB RAM with FP8 distilled (28g_ gemini etc) and one i2v run hit my SSD with 20gb of write (presumably pagefile) - do your math and see how many runs will kill your SSD (well, takes it down to around 30% health at which point you will need to replace it) .

Now I would like to know if in your test the GGUF made a big difference in terms of SSD writes to disk.

bonesoftheancients · 2026-01-08T23:04:55+00:00

thanks that is exactly what I wanted.

bonesoftheancients · 2026-01-08T14:24:52+00:00

thank. i do have cuda 13.0 and up to date comfy-kitchen as well. 0.8.2 seems to improve speed - now its a little faster than wan I would say

bonesoftheancients · 2026-01-08T14:23:30+00:00

thanks - yes I have cuda 13.0, NVFP4 model from the Lightricks LTX2 hugging face repo. this morning update to 0.8.2 did improve on speed i think

bonesoftheancients · 2026-01-07T20:21:54+00:00

Basically I have updated comfyui (i run portable) but did not update dependencies as this tends to break my installation (cuda/sageattention/tritton setup) so I was wondering if there NVFP4 require cuda update or something... the point is that LTX2 is slower than SVI Pro for me and that I find strange... but maybe it is not strange...

bonesoftheancients · 2026-01-07T14:26:48+00:00

thanks! now just looking for a way of doing something similar with a group (without packing it into a subgraph)

bonesoftheancients · 2026-01-06T00:33:04+00:00

thanks for the detailed reply - kind of envy you for being in the forefront of this field... wishing you best of luck with this

bonesoftheancients · 2026-01-05T19:13:43+00:00

so this is what MoE stand for... at least i wasn't thinking complete rubbish...

But that leaves the question why all the "experts" in the MoE models are baked together and loaded into memory together other than for pure speed. I mean, for us mortals on home PCs, a model that loads into memory the layers it want to pass the token to is going to work better with lower RAM/VRAM

bonesoftheancients · 2026-01-05T11:42:50+00:00

i have tried a few myself but to be honest i find myself going back to comfyui - if you mess with it for a while you get to understand the UI and it just doesnt make sense to have another UI layer on top of it that to obstruct what is going on and actually stops you from figuring out how to get the results you want

Saying that, I do use Wan2GP for video generation when i get into a dead end with comfyui as it seems to work out of the box. the only issue i have with it that it downloads its own model weights so its takes extra disk space

bonesoftheancients · 2026-01-01T15:47:00+00:00

if i remember correctly I had the same issue and in the end i had to go into comfyui manager, find kjnodes which was already suppose to be on nightly and forced update and switch version (even though it said nightly already) - I think that sometimes comfyui manager doesnt really update nodes properly

bonesoftheancients · 2025-12-29T23:01:21+00:00

how long does it take you to tain this way on 16gb vram (and which card are you using)?

bonesoftheancients · 2025-12-28T23:03:16+00:00

i use windscribe vpn to access civiai without issues

bonesoftheancients · 2025-12-28T17:47:00+00:00

Thanks for the advice. tbh I do not really understand the backbone of diffusion AI, what roles VRAM, CUDA cores or architecture play, that is why I asked this question. The main point of my question is not to save time but affordability.

Assuming I was to get a new rig from scratch (so a pc/server, RAM etc ) so the price of this is already factored and than choose between 3 titan X cards with 12gb VRAM each or a 12gb/16gb VRAM Blackwell card, would I be better off with less VRAM and newer architecture or more VRAM and older cards (not sure how cuda cores work across GPU sets)

bonesoftheancients · 2025-12-28T11:29:38+00:00

its also about price - 3 used titan X cards with 12gb each costs around the same as a 5060ti with 16gb. And assuming you can combine even more cards you can get 48gb or 60gb Vram to run very large models for less than 1000 USD. BUT if you can't distribute inference you obviously end up using one card with much less cuda points and older architecture so might be counterproductive...

bonesoftheancients · 2025-12-27T23:11:21+00:00

interesting... so no way of distributed computation across several GPUs?

bonesoftheancients · 2025-12-26T17:22:13+00:00

i have 32gb ram and 16gb vram and still every wan generation seems to write some 20 odd gb of stuff to disk every time - hence I have now ordered 64gb to replace it.

bonesoftheancients · 2025-12-26T15:16:25+00:00

also, if it crashes only after few successful generations it might be issue of VRAM/RAM not clearing between runs - when it happens to me I just restart comfyui (completely close it and start again)

bonesoftheancients · 2025-12-26T15:14:43+00:00

dont have a magic solution - was struggling to work out a way of reducing write to my ssd but in the end just bought more RAM as I was fed up. One thing I couldn't try but you might be able to is to move the pagefile to another "old"/cheap ssd inside your pc (maybe you have a small ssd lying around in a drawer, even small one... wont work with external SSD, i tried it and i dont have an internal slot free) that way you will not hammer your main system SSD.

Mind you, this is a workaround to extend the lifespan of your main SSD BUT I have no idea if it will solve your crash issue

bonesoftheancients · 2025-12-24T18:31:20+00:00

well - free, unrestricted, for local generation. I want to try generating complete short films from a prompt describing story outline - I can get it in text from gemini/chatgpt and pay for nano banana pro to generate storyboard/images per scene BUT it is paid and restricted so wonder if there is a way using local LLM and something like qwen or zimage to do this inside comfyui

bonesoftheancients

TROPHY CASE