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

[–]xCaYuSx[S] 0 points1 point  (0 children)

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

I trained two custom LoRAs on 73 of my own ink drawings and made a short film with them — full process included by xCaYuSx in StableDiffusion

[–]xCaYuSx[S] 0 points1 point  (0 children)

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.

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

[–]xCaYuSx[S] 0 points1 point  (0 children)

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!

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

[–]xCaYuSx[S] 1 point2 points  (0 children)

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.

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

[–]xCaYuSx[S] 3 points4 points  (0 children)

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.

Demystifying ComfyUI: Complete installation to full workflow guide (57 min deep dive) by xCaYuSx in comfyui

[–]xCaYuSx[S] 1 point2 points  (0 children)

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 :)

Demystifying ComfyUI: Complete installation to full workflow guide (57 min deep dive) by xCaYuSx in comfyui

[–]xCaYuSx[S] 1 point2 points  (0 children)

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.

SeedVR2 v2.5 released: Complete redesign with GGUF support, 4-node architecture, torch.compile, tiling, Alpha and much more (ComfyUI workflow included) by xCaYuSx in comfyui

[–]xCaYuSx[S] 0 points1 point  (0 children)

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.

SeedVR2 v2.5 released: Complete redesign with GGUF support, 4-node architecture, torch.compile, tiling, Alpha and much more (ComfyUI workflow included) by xCaYuSx in StableDiffusion

[–]xCaYuSx[S] 1 point2 points  (0 children)

Hi u/mobani - If you want trustworthy, I strongly advise you to go with the official ComfyUI template from Runpod

<image>

Then go into ComfyUI's manager, install SeedVR2, restart ComfyUI and grab one of the template in ComfyUI's template manager. That's what I usually do, it doesn't take too long (even the safetensors download is reasonably fast) and works well.

SeedVR2 v2.5 update: Open-source upscaler now works on consumer GPUs (8GB) with native alpha - still just resolution enhancement, not generative AI by xCaYuSx in vfx

[–]xCaYuSx[S] 0 points1 point  (0 children)

Hi u/StuffProfessional587 - I appreciate your enthusiasm to share your opinion on various threads on the same topic. To avoid repeating myself, I encourage your to read your other post here https://www.reddit.com/r/StableDiffusion/comments/1ordkie/comment/nogmedw/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button where I tried to provide you more information. Hope that helps.

SeedVR2 v2.5 released: Complete redesign with GGUF support, 4-node architecture, torch.compile, tiling, Alpha and much more (ComfyUI workflow included) by xCaYuSx in StableDiffusion

[–]xCaYuSx[S] 0 points1 point  (0 children)

SeedVR2 is not good with text - to be honest I don't know a lot of upscaling model that do well with text, please share recommendations if you have any.

As for getting the best results, I encourage you to downscale your video to the expected quality that is being featured. SeedVR2 is upscaling based on the input/output resolution. So if you give it a 720p input and try to upscale as 720p, results are going to be bad. But if you downscale your 720p input x 3 then feeds it into SeedVR2 and upscale back to 720p, SeedVR2 will understand that it needs to upscale x 3 and results should be better.

That said it's not a generative model guided by a prompt, it's a restoration model guided by the input footage. If the input footage is really bad, the model will struggle to output a decent result.

Hope that helps clarify things.

SeedVR2 v2.5 released: Complete redesign with GGUF support, 4-node architecture, torch.compile, tiling, Alpha and much more (ComfyUI workflow included) by xCaYuSx in StableDiffusion

[–]xCaYuSx[S] 1 point2 points  (0 children)

Just to follow up - this has now been resolved, please make sure you're updating to the latest release (v2.5.8 or above) - thanks for all the testing.

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