977 karma · joined July 3, 2014
What I noticed is that (1) the great local models are optimized run inference (diffusion & LLMs) well on 32GB VRAM <= GPU's because that that's what the target has ...
(2) The quality of local models (esp. in diffusion) is increasing faster than the need for more VRAM - additional reason for the value of these FAST GPUs to increase!
(3) RTX PRO 6000 96GB is really great for fine tunes (ai-toolkit) :) but doesn't outperform my RTX 5090 with inference by anything significant on the good local models.
I have never run an AI job on a Mac, i also have doubts about performance and compatibilities - since the reviews almost never compare directly.
Personally I think there is a good argument for being able to distinguish AI generated image and video...
Whilst the H3 result was generated with the raw api using his raw prompt.
If you ask ChatGPT or other AI model to "improve" your prompt (with cinematic, good lighting) generally, you will get also very good result from H3 also.
My own H3 test show that H3 (API edition) is undoubtedly better than LTX in prompt adherence ! The real comparison will be with the edition of H3 we get to run locally.
Without rules of law its literally irresponsible for EU to have this kind of heavy dependency on US corporations.
This is actually stated in the report xD
Then those locked into the X-rinse-and-repeat-loop echo the same hysteria, as if they’ve just discovered some kind of wisdom when they have simply been overtrained.
Microsoft fails consistently ... even when offered a lead on the plate... it fails, but these failures are eventually corrected for by the momentum of its massive business units.
Apple is just very very late... but this failure can be eventually corrected for by its unbeatable astroturfing units.
Perhaps AMD are too small keep up everywhere it should. But compared to the rest, AMD is a fast follower. Why Intel is where it is is a mystery to me but i'm quite happy about its demise and failures :D
Being angry about NVIDIA is not giving enough credit to NVIDIA for being on-time and even leading the charge in the first place.
Everyone should remember that NVIDIA also leads into the markets that it dominates.
So you probably better off using Ai-ToolKit https://github.com/ostris/ai-toolkit
https://www.statista.com/chart/1417/skype-usage/
What is your criteria for stewardship ?
and in context to the thread files-community/files is great and open-source and .NET * https://files.community/ (its actually 96% .net and 3.1% c++)
So Indeed 9.11 is chronologically higher than 9.8 and chronology is an extremely common use case.
However a grade F will be given by many.