stable-diffusion-paperspace VS stable-diffusion-webui-amdgpu

The other path I am going now: https://github.com/Engineer-of-Stuff/stable-diffusion-paperspace This is automatic1111. It is a very good written notebook. One thing I noticed that i could not install extensions. But when I turned on the password (that you can do in the early settup stages of this notebook, just enter a login name and password there) then extensions will be unlocked... otherwise rando`s can come into your notebook and install extensions...

The "easiest" (due to the provider being okay with it) may be to use Paperspace in conjunction with this notebook

yes there is https://github.com/Engineer-of-Stuff/stable-diffusion-paperspace

im running mine on paperspace. 8 dollars per month and most of the time you can use free RTX4000 GPUs. im using the ipynb from here: https://github.com/Engineer-of-Stuff/stable-diffusion-paperspace

You can't use DreamStudio to train your models, and I don't think there are any other apps available for training. DreamStudio is one of the cheapest options for image generation, at 10 USD for about 5000 generations. But it has limited models, and no sampling method selection. I haven't tried any other paid apps for SD. What I use is a PaperSpace notebook, with a Pro subscription. This guide will help you set up SD image generation/training using AUTOMATIC1111 on PaperSpace. Here is the ui-config.json that I use. And a list of models, for image generation.

I have a notebook I downloaded from here https://github.com/Engineer-of-Stuff/stable-diffusion-paperspace that works pretty well and can run automatic1111. Except the only problem is that it crashes like maybe once every 10 minutes.

Go here, and click on the code button and download the ZIP file. Unzip it and you'll find it in there.

I'm getting this error using (https://github.com/lshqqytiger/stable-diffusion-webui-directml/issues), freshly installed. I'm running it on an AMD RX 6700 XT with 12gb of vram. Generating a single image at default settings (512x512, 20 steps, etc.) I can do simple prompts (i.e. "kitty cat") but as soon as I add a couple more tags, I get the aforementioned error message, usually 20-30% into generating an image. I went through this thread (https://github.com/lshqqytiger/stable-diffusion-webui-directml/issues/38) and tried every solution I saw, most of them being variations of adding --medvram --precision full --no-half --no-half-vae --opt-split-attention-v1 --opt-sub-quad-attention --disable-nan-check to the commandline arguments. What else might I be able to try? Thanks.

i use automatic 1111 you can find the installation on the github , this branch https://github.com/lshqqytiger/stable-diffusion-webui-directml and it works fine although the speed is what it is, i also have a old GPU.

I'm using this one: https://github.com/lshqqytiger/stable-diffusion-webui-directml

- https://github.com/lshqqytiger/stable-diffusion-webui-directm - starting webuser-ui with COMMANDLINE_ARGS=--opt-sub-quad-attention –disable-nan-check - AMD 8GB Radeon Pro WX7100

I'm running this fork (https://github.com/lshqqytiger/stable-diffusion-webui-directml) on a pc with a Ryzen 5700x and a Radeon RX 6700 XT 12 GB Video Card.

I am using direct-ml fork

Im running Stable diffusion on my 6900XT, and I feel like its way slower than normal. Using the updated Webui https://github.com/lshqqytiger/stable-diffusion-webui-directml.

This refers to the use of iGPUs (example: Ryzen 5 5600G). No graphic card, only an APU. The DirectML Fork of Stable Diffusion (SD in short from now on) works pretty good with AMD. But not only with the GPUs, but also with only-APUs without GPUs.