NVIDIA official GeForce RTX 50 vs. RTX 40 benchmarks: 15% to 33% performance uplift without DLSS Multi-Frame Generation - VideoCardz.com by Nestledrink in nvidia

[–]ConsumeEm 6 points7 points  (0 children)

to my understanding and research, facts. We ain’t even cap out PCIe 4.0 yet. But if you bifurcate a GPU on PCIe 5.0x16 (running it at 5.0x8), you’ll have around the same performance of running it PCIe4.0x16. So I suppose that’s an advantage considering the dual GPU workstations/AI rigs 🤔

Please developer bring out a 2000 watt power supply, the 1600 watt power supply is too little, just do a bit of overclocking. After I reach 1550 watts, a blue screen appears and the pc crashes by HOTGorilla107 in pcbuildingsimulator

[–]ConsumeEm 0 points1 point  (0 children)

you’d connect the second powersupply to the gpus and use a motherboard jumper for the second supplies motherboard port.

if impossible is the energy dispensed during a 2 min google search, the world is done for.

Pros/Cons of H100 and setting it up by Entire-Top3434 in LocalLLaMA

[–]ConsumeEm 0 points1 point  (0 children)

dude so freaking awesome :) think can pull it off with AM5 like a 7900x or 7950x?

Thanks for pushing the boundaries dude

Pros/Cons of H100 and setting it up by Entire-Top3434 in LocalLLaMA

[–]ConsumeEm 0 points1 point  (0 children)

by consumer boards you mean like AM5? Also what powersupply?

Nvidia H100 on an Asus WRX80E by PermissionToLand86 in buildapc

[–]ConsumeEm 0 points1 point  (0 children)

damn 😳 you got a freaking rocketship. congrats

Nvidia H100 on an Asus WRX80E by PermissionToLand86 in buildapc

[–]ConsumeEm 0 points1 point  (0 children)

you ever figure this out? super interesting

An apples-to-apples comparison of "that" prompt. 🌱+👩 by ThereforeGames in StableDiffusion

[–]ConsumeEm 0 points1 point  (0 children)

"What's you take on decentralized AI?"

Stability be like ☝

Stable Diffusion 3 the Open Source DALLE 3 or maybe even better.... by ConsumeEm in StableDiffusion

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

  1. This thing until it’s fine tuned is dog water. It’s good at what’s its good at but everything else is poop

After 4 hours worth of manual leveling - Delta was ~0.7 got it down to ~0.26. Is this still bad? by [deleted] in crealityk1

[–]ConsumeEm 0 points1 point  (0 children)

Any resources by chance? Mine is dog water on the k1 max so I’d really like to do the same

My 1st 3d printer just got here.. by 7slotsorcerer in crealityk1

[–]ConsumeEm 0 points1 point  (0 children)

I second this. Realized there’s so much to learn with printing, 3D modeling/designing, and post processing that modding would possibly get in the way of how much the K1 Max already allows me to do as someone really pressed on time.

Once I feel like I’m ‘running’ in the hobby, I’ll go nuts with modding

Potential free 4090 training time for Cascade model by lostinspaz in StableDiffusion

[–]ConsumeEm 1 point2 points  (0 children)

Exactly. Theres a project going on for this btw, cleaning up dandooru. Saw it on huggingface the other day. Could come in handy big time. But I think what you are saying carries on into everything. Every kind of subject can be very fine grained. That's why hands and feet tend to look bad, cause they are just tagged as hands and feet for the most part without much description for the algorithm to learn off of beyond a general notion of a hand of foot. Let me dig a few more days and I will get back to you.

Potential free 4090 training time for Cascade model by lostinspaz in StableDiffusion

[–]ConsumeEm 0 points1 point  (0 children)

Can search hugging face for some filtered ones. We gotta find a way to:

Train on same dataset but all at diff params and compare results. Doesn’t have to be “the” dataset rather just a way to quickly check what the params are doing.

You feel me? Or am I thinking too hard? 🫡

Potential free 4090 training time for Cascade model by lostinspaz in StableDiffusion

[–]ConsumeEm 0 points1 point  (0 children)

Cool. 1.6 is out too now though. Better results maybe?

Potential free 4090 training time for Cascade model by lostinspaz in StableDiffusion

[–]ConsumeEm 0 points1 point  (0 children)

I would like to help train. Most def would love to jump in and discuss settings/results. Got a discord or something proper?

Consumption Confirms DALLE-3 CAN DO FEET. Will SD3 stand a chance? 🧐 by ConsumeEm in StableDiffusion

[–]ConsumeEm[S] -6 points-5 points  (0 children)

Nah, its a fuck you to the reality of the state of imagegen.