Image 1 — Fizgig meets Music: Train and Tweak Ace-Step 1.5 Loras
Image 2 — Fizgig meets Music: Train and Tweak Ace-Step 1.5 Loras
Image 3 — Fizgig meets Music: Train and Tweak Ace-Step 1.5 Loras
Image 4 — Fizgig meets Music: Train and Tweak Ace-Step 1.5 Loras
Image 5 — Fizgig meets Music: Train and Tweak Ace-Step 1.5 Loras

Fizgig meets Music: Train and Tweak Ace-Step 1.5 Loras

Fizgig, my free open-source LoRA trainer, now does music.

Train ACE-Step 1.5 XL LoRAs on your own songs and play every checkpoint in the gallery as it trains.
You can also make slider LoRAs that dial between two styles, like calm to energetic, without needing any songs.

Repair Studio works like a DAW for AI music, with per-block sliders, covers, repaint and extend, and LoRA mixing, and saving out wavs of the music you create in it.

A new I'm feeling lucky button connected to the Repair Studio which works ludicrously well with the DAW-like mode for Ace-Step for exploration purposes.

To get started there's a free and fully credited chiptune dataset and LoRA - I strongly encourage reading the tips I've included in it - starting training this way will make everything super clear: https://huggingface.co/datasets/ShootTheSound/Fizgig-ACE-Step-Chiptune-Starter

Release notes: https://github.com/shootthesound/Fizgig/releases/tag/v7.3.0

EDIT: I forgot to say that Music to Music is supported combining Ace Steps own Cover and sound alike modes with a new denoise feature that's similar to what many of us in the AI imaging scene are used to.

u/shootthesound — 4 days ago

32:9 and 21:9 Wallpapers - via smart crop - 10/04 [OC]

This week is mostly along the theme of 'Looking up', some very colourful and some quite bizarre! Hope you are all having a good weekend. All the high res and rest of the images (reddit compresses multi image posts) and crops on https://UltrawideWallpapers.net - Pete

u/shootthesound — 11 days ago

32:9 and 21:9 Wallpapers - via smart crop - 09/27 [OC]

This week is a variety of pattern styles, some very colourful and some more muted for less distraction. Hope you are all having a good weekend. All the high res and rest of the images (reddit compresses multi image posts) and crops on https://UltrawideWallpapers.net - Pete

u/shootthesound — 18 days ago

32:9 and 21:9 Wallpapers - via smart crop - 09/06 [OC]

Lots of abstract space scenes and miniature nature scene fantasy vibes this this week. Hope you are all having a good weekend. All the high res and rest of the images (reddit compresses multi image posts) and crops on https://UltrawideWallpapers.net - Pete

u/shootthesound — 1 month ago

32:9 and 21:9 Wallpapers - via smart crop - 08/30 [OC]

Lots of patterns this this week. Hope you are all having a good weekend. All the high res and rest of the images (reddit compresses multi image posts) and crops on https://UltrawideWallpapers.net - Pete

u/shootthesound — 2 months ago

Fizgig v5.0.0 - Full fine-tuning for Minimax and Krea 2 for 16gb+ VRAM

Fizgig v5 is out, and the headline is one I've been sitting on for a while: full fine-tuning of the MiniMax H3 and Krea 2 base models - the models themselves, not a LoRA ,on consumer GPU hardware, down to 16 GB.

No adapter, no rank bottleneck. Full-rank updates that change how the model represents a concept.

**What your card can do** (every confirmed number is from my runs, not an estimate):

16 GB - Krea 2 photos, H3 photos and voice, and H3 video clips up to 2.3 s confirmed (3.8 s expected with video on the likeness blocks, the default).

24 G - all of the above, with video expected up to 5.2 s on the likeness blocks.

32 GB - video confirmed to 3.8 s even training the whole model, and expected to 5.2 s on the likeness blocks.

If "a 33B video model fine-tuning on 16 GB" sounds like a trick: only one slice of the model is trainable at a time (a rotating window), the frozen rest is held 4-bit, and the bf16 master lives in system RAM, your saved checkpoint never passes through a quantiser. Measured peaks on a 16 GB card: 8.8–12.3 GB for H3, 8.4–11.0 GB for Krea 2 — andthe console prints your own run's peak every epoch, so you can watch the claim hold on your own card.

**When you're done**, the built-in Checkpoint to LoRA tool in the fizgig root folder diffs your fine-tune against the base and extracts an ordinary shareable LoRA — in testing, rank 64 was close to perceptually indistinguishable from the full 26 GB checkpoint, in a ~0.5 GB file ComfyUI already loads.

A personal note: This is a starting point and not going to be perfect. I got fine-tuning working on Krea 2 shortly after its release and have been deliberately cautious about shipping it , proving it to myself first, then refining it through the H3 work. This is the point where it needs the community to develop it further. The technique is model-agnostic at heart, and I'm open to bringing it to other models ,but that needs practical support around them: code, PRs, testing, that kind of thing, so I have the time to make it happen. Im not really goign to be able to tackle issues raised this weekend on Github as I need a break for a couple of days, but I think pray this is going to work pretty easily for most of you.

https://github.com/shootthesound/Fizgig/

[Release notes](https://github.com/shootthesound/Fizgig/releases/tag/v5.0.0) · ["How do I…?" guide](https://github.com/shootthesound/Fizgig/blob/master/docs/FINETUNE_HOWDOI.md) , and there's a one-click RunPod template if you don't have the hardware.

github.com
u/shootthesound — 2 months ago

32:9 and 21:9 Wallpapers - via smart crop - 08/23 [OC]

Surreal realism is the vibe this week. Hope you are all having a good weekend. All the high res and rest of the images (reddit compresses multi image posts) and crops on https://UltrawideWallpapers.net - Pete

u/shootthesound — 2 months ago

Fizgig now trains LoRAs on AMD Radeon - Flux 2 Klein, Krea 2 and MiniMax H3

Fizgig is my free open-source LoRA trainer and workbench (Flux 2 Klein 9B, Krea 2, and MiniMax H3 video/audio). As of v4.3.0 it runs on AMD Radeon with ROCm — RDNA1 through RDNA4. Windows is the supported path: install Python 3.12, run the AMD installer, done. Linux works too but is genuinely experimental on newer cards.

Worth being upfront: I don't own AMD hardware myself. This whole feature came from a community contribution by scryptio, tested on real cards over weeks in the PR thread — and that's how the AMD side will keep improving. If you're an AMD user, your reports on what works (and what doesn't) genuinely shape this, and PRs are very welcome.

Also in this release: 16 GB cards can now use identity distillation on MiniMax H3 (the 32B text encoder streams layer by layer instead of needing a 26 GB peak), and the Repair Studio gained a side-by-side compare view with likeness scoring for fixing overbaked LoRAs without retraining.

GitHub: https://github.com/shootthesound/Fizgig

u/shootthesound — 2 months ago

Fizgig 4.0 is out : Minimax H3 Combined Video File, Audio Files wav mp3 etc, Photo training in one dataset. High Quality training samples (incl video) + turbo (finally) and new 'Gizmo' and AV dataset Prep tool. And Int 8 LARGE speedup for 16gb users.

I'll be making a Youtube video tomorrow for this. But I have one take away to share that I think is most important. H3, when you get the settings right is just fine with image based training without killing its video ability. Its even better when you combine photos and wavs, its super fast and you can train a voice with a dataset very easily. (I recommend shared trigger word). Video works too, but its slower, unavoidably. I'm not saying dont use it, its worth it for the right use cases. I'm just saying if you are not teaching the model anything new that photos and audio cant do, you are better with photos and audio. But when you do want to capture motion, it work very well. Anyway video coming tomorrow, with lots on Gizmo (the data set prep tool for video/audio) to make dataset prep easy. https://github.com/shootthesound/Fizgig

P.s the 16gb int8 speedup is from an an awesome community contribution from rintic-13 on Github.

u/shootthesound — 2 months ago

32:9 and 21:9 Wallpapers - via smart crop - 08/16 [OC]

This week its very surreal fantasy vibes. Hope you are all having a great weekend. All the high res and rest of the images (reddit compresses multi image posts) and crops on https://UltrawideWallpapers.net - Pete

u/shootthesound — 2 months ago
▲ 62 r/comfyui+1 crossposts

Fizgig - Rapid Minimax H3 LoRA training tutorial

This video includes all you need to train Minimax with both speed and high quality results.
Hit me up with comemtns, queries etc. Happy to do a style video also.
https://github.com/shootthesound/Fizgig

UPDATE: Pushed a vram optimisation for 16gb vram users that will speed up TE encoding at the start of training - Run the update bat to get it
UPDATE2: Additional fix out for 16gb users on pruned model - update to get it.

youtube.com
u/shootthesound — 2 months ago
▲ 50 r/MinimaxVideo+2 crossposts

ComfyUI-H3Studio for Single Node Long video Creation - Out Now

Crappy demo clip as I was short on time, but handy to see in context of the screenshot of this post

https://github.com/shootthesound/ComfyUI-H3Studio

Lots of hopefully clear instructions in the Github link and a basic example workflow.

Its my first time making a video editor after 15 years of using one every day, so there is a lot of carried over UX, and more I'll refine.

If you fancy it, this plays nicely with what is now a fast and high quality results Minimax Lora Trainer (getting good quality training to work in minimax has been a nightmare, but its there now): https://github.com/shootthesound/Fizgig

u/Hefty_Scallion_3086 — 2 months ago

New batch [7680x2160] Ultrawide Wallpapers (08/09) - link in comments for High res and crops

u/shootthesound — 2 months ago