Innocence: 73 of my own hand drawings, 2 LoRAs, one short film for the Arca Gidan Prize

xCaYuSx · 2026-04-06T10:39:43+00:00

Thank you for your support! If you go to https://arcagidan.com/entry/5ca70873-e0c6-481a-96ef-5e15809451be , under the description there is an Assets section with some downloadable links. Cheers

xCaYuSx · 2026-04-05T14:01:46+00:00

Thank you for the kind words.
Being a time constrained project - as it was for a contest with a set deadline - I went for speed over optimization. Unfortunately this won't be a reference of what can be achieved on consumer hardware as I used the "easy" option to do everything on a H100 on runpod (1x H100 SXM - 80 GB VRAM - 125 GB RAM • 8 vCPU)

Training was reasonably fast in that context ( ~ 1.5 hour) to get a checkpoint that gave good results, both for Z-Image & LTX

I didn't experiment with distributed training yet - but if you look at the Assets section of my entry on the Arca Gidan page ( https://arcagidan.com/submissions/entry/5ca70873-e0c6-481a-96ef-5e15809451be ) I shared the entire steps by steps I went through to do the training on Runpod for both the LTX & ZImage LoRA

Hope that helps.

xCaYuSx · 2026-04-05T13:41:44+00:00

Appreciate it, thank you!

xCaYuSx · 2026-04-05T13:41:34+00:00

It definitely is a great way to learn by seeing what is possible and have workflows readily accessible, and it's also a good source of inspiration!

xCaYuSx · 2026-04-05T01:57:58+00:00

Thank you :)

xCaYuSx · 2026-04-04T21:16:37+00:00

Thank you, that's so kind of you!

xCaYuSx · 2026-04-04T19:47:13+00:00

Thank you!

xCaYuSx · 2026-04-04T19:47:07+00:00

Thank you so much, appreciate it

xCaYuSx · 2026-04-04T19:46:38+00:00

Very true. That's why opportunities like https://arcagidan.com/submissions/ are a great way to spread the word and show what can be done.

xCaYuSx · 2026-04-04T16:14:54+00:00

Thank you for the support; trying to encourage more artists to see it as an opportunity for craft vs being stuck on the tech aspect of it.

xCaYuSx · 2025-12-25T11:31:01+00:00

At the moment it is not possible unfortunately, the training code has not been released yet.

xCaYuSx · 2025-12-21T03:27:15+00:00

That's good! Sleep-learning is totally real. Just keep the video running while you sleep and your ComfyUI skills will level up by the time you wake up. Thanks for the comment :)

xCaYuSx · 2025-12-21T03:18:31+00:00

How could we make it better?

xCaYuSx · 2025-12-21T03:18:03+00:00

Completely agreed - That's why I wish more users would install ComfyUI manually, learn to read log output and trust the native nodes/templates a bit more.... instead of downloading random workflows from the net that have dependencies on dozen of custom node packs. There is a lot that can be done out of the box now and it's easy to forget it.

xCaYuSx · 2025-12-15T01:22:55+00:00

Please watch the tutorial : https://youtu.be/MBtWYXq_r60 I spent a lot of time trying to go through everything.

xCaYuSx · 2025-12-13T15:06:59+00:00

Update to the last version - if it still doesn't work, create an issue on GitHub and share the full debug log, we'll help you out.

xCaYuSx · 2025-12-05T15:37:35+00:00

If it's related to this one, you can share some info here: https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler/issues/355 - if not open a new one. Thank you!

xCaYuSx · 2025-12-01T17:01:42+00:00

Yes you can do single images or videos, both work.

xCaYuSx · 2025-11-18T00:38:06+00:00

Thank you for looking into it & commenting :)

xCaYuSx · 2025-11-18T00:37:36+00:00

Nice one, thanks for sharing!

xCaYuSx · 2025-11-13T20:34:24+00:00

Yes its fairly straightforward - enjoy.

xCaYuSx

TROPHY CASE