In this guide, we will make you aware of a couple of workarounds that should help you fix the issue of Stable Diffusion crashing with Automatic1111. This deep learning text-to-image diffusion model is capable of converting any text input to photo-realistic images. This when combined with the open-source UI tool built gives you the option to interact with numerous advanced features. However, as of late, it doesn’t seem to be working along the expected lines.
Numerous users have voiced their concern that Stable Diffusion is crashing with Automatic1111. Along with that, some are also getting the “Deforum Error: ‘eta must be 0 for reverse sampling’. Check your schedules/ init values please. Also make sure you don’t have a forward slash in any of your PATHs – use / instead of \’ ” error message. If you are also in the same boat, then this guide will make you aware of a couple of workarounds to rectify this bug. Follow along.
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Fix Stable Diffusion with Automatic1111 crashing
It is recommended that you try out each of the below-mentioned workarounds and then see which one spells out success. So with that in mind, let’s get started.
FIX 1: Delete Venv folder
First off, you should consider disabling the non-important extensions and along the same lines, deleting the Venv folder. Once that is done, the tool will now download a few additional files and once that happens,. check if it fixes the issue of Stable Diffusion crashing with Automatic1111.
FIX 2: Modify Git
After this line in your collab
!git clone -q --branch master https://github.com/AUTOMATIC1111/stable-diffusion-webui
put this [or the hash you feel is working well and good]
%cd /content/stable-diffusion-webui !git checkout a9fed7c364061ae6efb37f797b6b522cb3cf7aa2
That’s it. These were the two different methods that should help you fix the issue of Stable Diffusion crashing with Automatic1111. As far as the official stance on this matter is concerned, the developers are yet to acknowledge this issue, let alone give out any ETA for the rollout of a fix. As and when any of these two things happen, we will update this guide accordingly. In the meantime, the aforementioned workarounds are your best bet. [Featured Image Credits: Credits: AUTOMATIC1111/stable-diffusion-webui on GitHub].
