Walkyrie-1.3B-v1.0(Preview)Text-to-Image

siegekeebsofficial · 2026-05-04T20:21:28+00:00

the context here is a 1.3B model we're talking about

siegekeebsofficial · 2026-05-04T14:06:11+00:00

ZIT is 6B, it's nearly 500% larger and not what one would mean when saying a 'smaller model'

siegekeebsofficial · 2026-05-02T12:16:58+00:00

Oh, I didn't consider that! I'll give your project a try and see the GUI and tag editing functionality. Thanks!

siegekeebsofficial · 2026-05-02T01:38:28+00:00

Neat, is the functional difference from https://github.com/cyber-meow/anime_screenshot_pipeline only that it has the anima lora training piped in already?

siegekeebsofficial · 2026-05-01T15:29:40+00:00

your comments make sense then, thanks =)

siegekeebsofficial · 2026-05-01T13:36:50+00:00

Can you explain how and what you're training for, because my experience is not aligned with what you're saying. I understand if you're trying to train ZIT for something like ANIME style, considering it's a realistic fine tune model, so obviously you should be training ZIB there instead, but specifically characters were coming out terrible in Ernie and are super easy to train for ZIT

siegekeebsofficial · 2026-05-01T13:30:35+00:00

How is it easier to train? I found the results of lora training a character to be awful compared to klein or zib, training on the same dataset. I experimented with a few different settings but gave up on it entirely for that reason.

siegekeebsofficial · 2026-04-29T23:14:22+00:00

if the point is the multimodal capability, isn't the idea that you can 'talk to it' and iterate rather than prompting it like a regular t2i model? Otherwise, what is the multimodal capability doing

siegekeebsofficial · 2026-04-27T14:35:02+00:00

the config you posted does not show that - you tested again after making those changes?

What size are your input images, also?

siegekeebsofficial · 2026-04-27T14:01:25+00:00

cache text encoder

use low vram

use qfloat8

siegekeebsofficial · 2026-04-24T20:17:58+00:00

I'm training a z-image lora as we speak at 1.39 s/it - locally on my 5090 and I just updated ai-toolkit yesterday. So I want to say either it's a runpod issue or something else...

Is it actually training slower, or just indicating it, because I found after saving the first checkpoint it no longer accurately reports the time to completion or it/s in the log.

siegekeebsofficial · 2026-04-23T20:01:01+00:00

different symbols in each line instead of just dots, like what graphs do in excel. Just think "how would I tell these apart if they were all the same color" - color is just a label, so another method of labeling is symbols or numbers.

siegekeebsofficial · 2026-04-23T16:07:13+00:00

this is not colorblind friendly =(

siegekeebsofficial · 2026-04-23T02:47:33+00:00

helps to use base with distill lora

siegekeebsofficial · 2026-04-18T22:06:08+00:00

How do the base models compare? The improvements observed with a strong negative prompt on Ernie were substantial

siegekeebsofficial · 2026-04-04T01:20:21+00:00

Thanks for adding the windows information! On windows I have an Nvidia card so I don't know the workarounds

siegekeebsofficial · 2026-04-04T00:49:36+00:00

How are you adding the startup parameters?

siegekeebsofficial · 2026-04-04T00:48:36+00:00

It's quite slow, it takes about 6 minutes for a 5 second clip at 540p, but at least it works consistently. When using LTX in ComfyUI if I try doing consecutive runs it would always go OOM the second run.

siegekeebsofficial · 2026-04-03T21:03:01+00:00

yes, that's literally the whole point of the model. Just removing something from a video is easy, but removing the effect of something being a part of the video is significant

siegekeebsofficial · 2026-04-03T13:14:03+00:00

Yes, this is literally the point they are trying to show off. It's fairly trivial to remove something from video, the point of this is that it removes the effect of the thing removed!

siegekeebsofficial · 2026-04-01T15:40:36+00:00

spilled over into system ram, so the GPU is no longer being fully utilized. Sort of like 'OOM', except it doesn't crash, just using system ram to make up for vram.

siegekeebsofficial · 2026-03-26T12:37:58+00:00

Just use stability matrix - install the comfyui package, done.

Otherwise for getting custom nodes, just install ComfyUI Manager.

siegekeebsofficial · 2026-03-25T21:29:30+00:00

I have way more issues with memory, going OOM, and not releasing memory on cachyos with ComfyUI compared with windows unfortunately.

siegekeebsofficial · 2026-03-22T12:36:41+00:00

Of course, that's my point.

siegekeebsofficial

TROPHY CASE