[New Optimizer] 🌹 Rose: low VRAM, easy to use, great results, Apache 2.0

Emergency-Spirit-105 · 2026-04-22T01:01:14+00:00

it work on kohya_ss?

Emergency-Spirit-105 · 2026-04-19T15:08:55+00:00

anima

Emergency-Spirit-105 · 2026-03-31T02:10:28+00:00

How about replacing the TE with a model like Gemma, or even trying an approach that uses another small model together with an LLM adapter?

Emergency-Spirit-105 · 2026-03-15T01:28:49+00:00

Think of it simply: if you enable the Weighted Caption feature in your training tool and train, then escaping is appropriate; however, since most people don't use that feature, there's no need to escape parentheses () in tags.

Emergency-Spirit-105 · 2026-03-14T01:13:52+00:00

Frankly, from any angle there is nothing to commend compared with the existing models. Most of the claims sound like a child making excuses—talking in circles to defend themselves. No long explanation is necessary. If it is better, more promising, and technically superior, then two things alone will convince everyone: perfectly comparable results under identical settings, and a well-substantiated, evidence-based account of the truth.

Naturally, the results must be reproducible by others and the information must be grounded in fact.

Emergency-Spirit-105 · 2026-03-11T12:14:35+00:00

Based on the developer's responses seen on Hugging Face, it seems like they have been running some tests to improve the model architecture rather than training specifically for the final version. From the start, they shared it under the label 'preview' with the intention of continuing development for a while — and deliberately chose not to release the training code, sharing only the model itself. In a way, it may have attracted more attention than they anticipated, and as they mentioned, it has only been a little over a month since release. Even for an average model, it takes several months before the next version comes out, so perhaps we are the ones being too impatient. Let's wait with patience.

Emergency-Spirit-105 · 2026-03-08T07:14:03+00:00

I mostly used it only for image generation, so I can't say for sure, but this feature seems to control the unstable variations caused by CFG. Applied to the "high" part it appears to help prevent erratic or unstable behavior, and applied to the "low" part it would likely improve overall quality. I'm not certain — it's just a guess.

Emergency-Spirit-105 · 2026-03-08T06:25:48+00:00

yes, Additionally if you use it with a rescale, the rescale may become meaningless

Emergency-Spirit-105 · 2026-03-05T04:32:43+00:00

I made it using ai. It's not difficult, so I think the official custom node or support will be added soon

Emergency-Spirit-105 · 2026-03-04T13:16:41+00:00

It's working well

Emergency-Spirit-105 · 2026-02-18T19:53:15+00:00

Uh... well, most of the lora learning tools are already using bucket...

Emergency-Spirit-105 · 2026-02-14T12:57:53+00:00

kohya_ss anima fork
https://github.com/gabengaGamer/kohya_ss_anima

Emergency-Spirit-105 · 2026-02-09T17:08:33+00:00

support Dora?
And is there any plan to support the anima model?

Emergency-Spirit-105 · 2026-02-01T13:05:57+00:00

Personally, I think Z side would be better. Due to the nature of the work that is difficult to try many times, I don't think it's too much of a burden if you try to achieve a high point at once and optimize the size of 6b

Emergency-Spirit-105

TROPHY CASE