271–280 of 437 posts
Results vary wildly but it can make some really great stuff occasionally. It's just infrequent enough to keep you going "one more prompt".
Super addicting.
Lookingforward to people implementing inpainting and all the stuff that lets you do.
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If I recall from the interview with Stability.ai's founder, he has more or less the same opinion, and that humans will adapt to the new technology as we always have. I figure "please don't abuse this technology" warning stickers are more CYA. It'll make the vast majority of judges look at a motion to dismiss and not blink an eye.
Historically, he is correct. It is easy to find people that were against TVs, Cars, Trains, Electric Cars. Those people were not entirely wrong with their logic. Trains and cars did make it much easier for scammers to come into a town and then leave quickly.
Concretely, it's probably true that children born with this technology will have adapted to many of the negative (and positive) aspects of it. But the current generation of elites, politicians, and voters might have a harder time adapting.
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Wait for the 4070, it should be around the perf of a 3080/maybe 4090 for ~500 bucks if rumors hold up. It is coming in a few months. NZXT used to make good pre-builts. Not sure which others have a good rep. DO NOT BUY DELL.
What's wrong with Dell? Is Lenovo a bad option as well? Does NZXT offer on-site service?
Dell uses crappy proprietary tech, poor quality components, and they have an all around bad reputation.
NZXT uses good components and they make some of the best cases you can buy.
I don't know much about Lenovo's desktop products.
You might try posting on reddit.com/r/suggestapc and ask about the best service contracts and high quality system integrators.
Edit: that particular reddit looks pretty dead actually. The big one is r/buildapcsales , you can take a look at their side bar or discord and ask around.
One more thing, GamersNexus on YouTube does reviews of pre builts and they are the best at this sort of thing. Their community is likely very helpful as well.
https://youtube.com/playlist?list=PLsuVSmND84QuM2HKzG7ipbIbE...
The biggest issue with most pre-builts is terrible airflow making the expensive components throttle. The (Dell) Alienwares are some of the worst for this.
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You're going to need at least 10GB VRAM. My SFF pc with 4GB VRAM can only run dalle mini / craiyon :(
Not if you change the precision to float16. Should work on a smaller card. Tried on a 1080 with 8GB and it works well.
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Sorry my bad, found the answer. One simply adds the following flags to the StableDiffusionPipeline.from_pretrained call in the example: revision="fp16", torch_dtype=torch.float16
Found it in this blogpost: https://huggingface.co/blog/stable_diffusion
mempko thank you for your hint! I was about to drop a not insignificant amount of money on a new GPU.
What does one lose by using float16 representation? Does it make the images visually less detailed? Or how can one reason about this?
So how do I set up a server to generate images for me? An API I can post anything to and get an image back.
You'll need to know how to program. Try Python with Flask or Bottle.
Anyway, this pretty much answered my question: https://news.ycombinator.com/item?id=32556277
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I think the answer is yes, but setup is a bit complicated. I would test this myself, but I don't have an NVIDIA card with at least 10GB of VRAM. One time: 1. Have "conda" installed. 2. clone https://github.com/CompVis/stable-diffusion 3. `conda env create -f environment.yaml` 4. activate the Venv with `conda activate ldm` 5. Download weights from https://huggingface.co/CompVis/stable-diffusion-v-1-4-origin... (requir…
Thanks for these instructions. Unfortunately I'm getting this error message (Win11, 3080 10GB): > RuntimeError: CUDA out of memory. Tried to allocate 3.00 GiB (GPU 0; 10.00 GiB total capacity; 5.62 GiB already allocated; 1.80 GiB free; 5.74 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTOR…
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Kinda like the creation of copilot and it's ilk for programmers, and gpt3 for writers. Ive seen some talk recently around 'prompt engineers'... Probably to some extent, every job will become prompt engineering in some way. Eventually I suppose the AIs will also do the prompts. At which point I hope we've all agreed to a star trek utopia, or it's gonna get real bad. Or maybe it'll get way better.
Yeah, if we're gonna replace every fucking profession with a half-assed good-enough AI version, what're we even here for? We're sure not all gonna survive in a capitalist society where you have to create some kind of "value" to earn enough money to pay for your roof and your food and your power. IIRC there is some vague "it sure got real bad" somewhere in the Trek timelines between "capitalism ended" and "post-scarci…
Also joking about murdering people is bad taste and not how you convey a point or win an argument. Very low class.