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Do you run locally? (lemmy.world)

I was curious, do you run Stable Diffusion locally? On someone else's server? What kind of computer do you need to run SD locally?

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[-] teichflamme@lemm.ee 1 points 1 year ago

I am running it locally with a 3060 TI and it works decently well.

[-] DrRatso@lemmy.ml 1 points 1 year ago

Runs fine with 1660, but that is about 20 sec for 512x512 and upscaling takes upwards of a minute.

If you want to run it online I suggest paperspace paid tier, not too big of a hassle to set up but you might have to wait a couple mins spamming refresh to get a better GPU, the instance can run for 6 hours, then it will be autoshutdown. Generally 2-4sec for 512 and 10-20 for 1024. Also, you will have to either download models every time, settle for only two or three models at a time or fork up a couple extra bucks for the permanent storage as base paid is only 15GB.

locally, always.

I even got it to run without GPU on a pure old i5 CPU with 8GB system RAM (not VRAM) paired with 32GB swap. SD1.5 takes 4-10 minutes per image, SDXL about 2 hours. But it works. With GPU its between 7 and 90 seconds per image, depending on model and settings.

[-] the_stormcrow@lemmy.ml 0 points 1 year ago

What were your settings for the CPU usage? I have an older laptop it would be fun to get it running on.

Just install ComfyUI and start it with the --cpu flag. Ensure you have enough system RAM and a swap partition (preferably on nvme/ssd).

this post was submitted on 23 Jul 2023
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Stable Diffusion

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Welcome to the Stable Diffusion community, dedicated to the exploration and discussion of the open source deep learning model known as Stable Diffusion.

Introduced in 2022, Stable Diffusion uses a latent diffusion model to generate detailed images based on text descriptions and can also be applied to other tasks such as inpainting, outpainting, and generating image-to-image translations guided by text prompts. The model was developed by the startup Stability AI, in collaboration with a number of academic researchers and non-profit organizations, marking a significant shift from previous proprietary models that were accessible only via cloud services.

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