WebUI Forge will not run at all on Cuda8 GPU But Automatic 1111 will run with Pytorch

Wild_Diffusion: <p>Hello i’m very new and i have learning probs (i can’t spell well sorry)<br>
I want to use the new WebUI Forge for Stabile Diffusion On my laptop<br>
Whitch is An (Medion) Erazer x7849 with a GTX 1070</p>
<p>It will not run i’ve tryed every downgrade and code on the web (well most of them)<br>
It pulls a Pytorch that does not work whitch is Cuda12 and have Cuda8 Accorden to Nvidia and Google<br>
so here is my main question Does the latest Pytorch Support Cuda8 GPUs At all</p>
<p>sadly they’ve stopped making drivers my grathics card I have the latest one<br>
also i’ve tryed this on my Windows 8.1 And 10 installations (i don’t have 11 sorry)</p>
<p>so please if you know what to do please help me<br>
i’m thinking of buying A rig With RTX 3060 in it but i would like to use my Erazer For now<br>
I mainy want this web UI becouse it’s good with low ram and it has Video Diffusion</p>
<p>thanks in advance</p>

ptrblck: <aside class="quote no-group" data-username="Wild_Diffusion" data-post="1" data-topic="200375">
<div class="title">
<div class="quote-controls"></div>
<img loading="lazy" alt="" width="24" height="24" src="https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/wild_diffusion/48/69038_2.png" class="avatar"> Wild_Diffusion:</div>
<blockquote>
<p>Does the latest Pytorch Support Cuda8 GPUs At all</p>
</blockquote>
</aside>
<p>There are no “CUDA 8 GPUs”, as each GPU belongs to a specific GPU architecture family and uses the corresponding compute capability. Your GTX 1070 uses the Pascal architecture and the compute capability 6.1.<br>
All currently released PyTorch binaries support this GPU and you might want to make sure PyTorch is working before trying to install a 3rd party library.<br>
To do so, create a new and empty virtual environment and install the latest binary following <a href="https://pytorch.org/get-started/locally/">these instructions</a>.<br>
Once this is done, run a quick smoke test e.g. by creating a single <code>CUDATensor</code> via <code>torch.randn(1).cuda()</code> and make sure your setup is able to perform this operation.</p>

Wild_Diffusion: <p>thanks for your help<br>
however i do not know quite what you mean<br>
so i’ve provided my script<br>
do you think it’s the fualt of Web ui Forge?<br>
this is done after a fresh install<br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/5/8/58d5a150345e75a16390ea1b2bffe08983085cb5.jpeg" data-download-href="https://discuss.pytorch.org/uploads/default/58d5a150345e75a16390ea1b2bffe08983085cb5" title="Pytotch"><img src="https://discuss.pytorch.org/uploads/default/optimized/3X/5/8/58d5a150345e75a16390ea1b2bffe08983085cb5_2_690x388.jpeg" alt="Pytotch" data-base62-sha1="cFRIvnVa1QkXHEiNs8pk6FmOAcd" width="690" height="388" srcset="https://discuss.pytorch.org/uploads/default/optimized/3X/5/8/58d5a150345e75a16390ea1b2bffe08983085cb5_2_690x388.jpeg, https://discuss.pytorch.org/uploads/default/optimized/3X/5/8/58d5a150345e75a16390ea1b2bffe08983085cb5_2_1035x582.jpeg 1.5x, https://discuss.pytorch.org/uploads/default/optimized/3X/5/8/58d5a150345e75a16390ea1b2bffe08983085cb5_2_1380x776.jpeg 2x" data-dominant-color="B08718"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">Pytotch</span><span class="informations">1920×1080 398 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div><br>
this is from the web-ui statup script</p>