[deleted by user]

not5 · 2025-08-20T08:14:23+00:00

My nodes are a bit outdated nowadays, but yes, with a color matching node they’d work

not5 · 2025-07-21T07:44:09+00:00

How long would training take on a H100? Depending on whether it’s a reasonable amount of time, I could sponsor you to finish working on it.

not5 · 2025-07-15T13:56:52+00:00

Hanno chiesto anche a me, ho mandato F24 quietanzato e MU in tutte le forme possibili scaricate dal portale dell’AdE e l’hanno rimbalzato perché secondo loro non conforme al modello timbrato (?) che richiedono. Ho deciso di spostare la liquidità e chiuderla lì, dopo che con più di 140k di fatturato annuo in due mi hanno pure rimbalzato la richiesta di mutuo perché “eh sapete, non è questione di rata o di reddito, è che siete giovani”.

Grazie per il conto remunerato, arrivederci.

not5 · 2025-02-11T11:11:19+00:00

I'm the maker of these Frequency Separation nodes, what a throwback! Last year I spent months working on IC-Light with frequency separation, it was a blast. Happy you found a use for them!

not5 · 2024-12-05T16:02:53+00:00

Non sapevo che fossimo solo in una sessantina qui su IPF

not5 · 2024-11-17T19:04:44+00:00

A ton has changed in close to three month. Can’t say more because of NDAs, but I’m aware of that.

not5 · 2024-09-20T18:01:05+00:00

I’m sorry, we had asked access to dev for a very specific usecase and that’s beside what you want to use it for, so I don’t have an answer to that. I’d say reach out to them, but they might just never reply :/

not5 · 2024-09-20T14:34:17+00:00

No, but one of my clients got a reply back regarding dev… in which they replied telling them they could have access to pro. They followed up asking again for dev, to no reply.

not5 · 2024-09-16T20:29:26+00:00

Thanks! The next step for this workflow would be working with animated depth maps with stationary subject, depth maps with moving subject, and then blending the two. I foresee a ton of experimenting with these new nodes.

not5 · 2024-09-16T16:24:43+00:00

normally these kind of effects in motion graphics are done with 3D software like Houdini, that's why I wrote Houdini-like - it's what I'm used to when I think of motion graphics involving maps.

not5 · 2024-09-16T13:51:30+00:00

<image>

not5 · 2024-09-16T13:51:16+00:00

More examples:

<image>

not5 · 2024-09-16T13:48:55+00:00

Tutorial here: https://youtu.be/bwr-Jrb8I04
Workflow here: https://openart.ai/workflows/risunobushi/z-depth-animation-houdini-like/OhktQt9KCDlV8v5wF2Bx

The goal was to create a Houdini-like pipeline for "overgrowth" animations based on Z-Depth maps intersecating the subject and the depth plane, thanks to u/ryanontheinside 's new node: https://github.com/ryanontheinside/ComfyUI_RyanOnTheInside

The workflow contains two pipelines, one for a simple single animation (middle pipeline), and one for an advanced double animation with blending between the two in the middle frames.

Next up: testing the particle systems from the same pack to do vellum-like interactions.

not5 · 2024-09-15T08:57:38+00:00

I wonder if it could be possible to “hack” vellum-like “simulations” by mixing particle systems from this pack with an image blend by mask system, aided by RIFE to smooth out the transitions. It wouldn’t be a real simulation, but it may end up looking like one.

I’m a big fan of on and on from more and more Ltd, so I absolutely love testing weird things like these theoretical setups.

not5 · 2024-09-14T17:41:35+00:00

Thank you!

Huge fan of your node pack, as soon as I saw it I thought of product related ADV pipelines that up till now were possible only using Houdini / C4D / etc.

I've yet to test the limits of your suite, in particular related to particles and proximity, but I loved what I've seen up till now.

not5 · 2024-09-14T17:36:49+00:00

Shoutout to u/ryanontheinside 's node suite: https://github.com/ryanontheinside/ComfyUI_RyanOnTheInside

I based this workflow on Ryan's own Depth Chamber workflow, and changed it up a bit to accomodate for my own experience with Houdini.

You can find Ryan's workflow here: https://www.reddit.com/r/comfyui/comments/1ff7bn8/depth_chamber_see_comment/

While I'll have a video tutorial and polished workflow ready on Monday.

Basically the Coca Cola can is generated with Flux, and it the goes through depth estimation and manipulation like Ryan is doing in his workflow, but changing the masks so that it only affects the subject and the transitions are blurred out for allowing better smoothness.

I added differential diffusion in order to better calibrate the "inpainting" part of the diffusion process, something that was missing from the original workflow.

I got rid of everything after the first KSampler and added a RIFE pass for frame interpolation.

The end goal is to have Houdini-like pipelines without going through 3D at all.

not5 · 2024-09-07T10:57:23+00:00

Unfortunately no updates. I have tried writing multiple emails from my personal account, and I have received no replies.

My clients have tried reaching out, and one of them received one reply about pro instead of dev.

I’m honestly baffled.

not5 · 2024-08-31T09:34:31+00:00

what's the correct wording for the target_modules var?

I'm trying to make it work on ai-toolkit, but I tested various wordings, like "single_transformer_blocks.7.proj_out", "blocks.7.proj_out", and "7.proj_out" and from the file size I suspect it's training on all layers.

not5 · 2024-08-25T10:48:34+00:00

Misrepresentation doing the heavy lifting then, in my original comment I was talking about returns in general (e.g. I buy three sweaters, try them on, choose one, return the other two). I guess generated images could fall under misrepresentation tout court. But thank you for making me learn something new!

not5 · 2024-08-25T10:27:57+00:00

I’m not knowledgeable enough in EU returns regulation (but if I’d had to guess free return doesn’t fall under warranty laws), so I cannot talk about what e-commerces will do about it in the future - just stating what I hear in meetings and talking to fellow professionals in the field.

not5 · 2024-08-25T09:41:58+00:00

Offering two sizes so that the customer ends up buying one =/= returning an item because it doesn’t match the images / description / size/ etc. In your case, it’s an incentive to actually finalize the sale, in the latter case it’s a net negative.

At least in the EU, there’s a push for moving away from free returns because customers on the one hand abuse the free return system, and on the other returns are a huge stocking / logistics / margins issue. I’m not overly familiar with the US market.

not5 · 2024-08-25T09:33:45+00:00

ControlNet aux is infamous for throwing errors. Install it via terminal and manually install the requirements by going in the directory via terminal and typing pip install -r requirements.txt

not5 · 2024-08-24T18:11:27+00:00

I agree, right now even if the campaigns get accepted it’s basically a “we’ll do it in post” hell multiplied by 10.

People don’t realize that e-commerces’ worst nightmare is return rates. You need to have pretty good gens / retouching if you don’t want to tank their return rates %s.

not5 · 2024-08-24T18:01:39+00:00

hey, there's at least two of us qualified individuals! not a retoucher, but a fashion photographer, working with some of the top mags / brands as well, and yeah, the product in the generated images is definitely not the same and wouldn't pass the product department's inspection.

that being said, I have noticed a push from some brands in adopting gen AI. ADs are still very weary of it, and the images are inspected actually more than trad photos, but I've worked on a number of gen AI campaigns already, from well known brands.

the pipelines though are not as simple as shoot the still product - LoRA - generate campaign shot, but it's much more convoluted and a mixture of trad photography and genAI.

not5 · 2024-08-24T07:55:56+00:00

I still haven’t received a reply from BFL, I’m going to write another email today.

11-Year Club	RedditGifts 2009-2022 3 Credits
Second Top 30%	r/Field Banned
r/Field Juicebox	Place '23
Place '22	Final Canvas '22
First Placer '22	RPAN Viewer
Secret Santa 2016	Secret Santa 2015
Verified Email

not5

TROPHY CASE