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stable-diffusion-v1-4

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I'm getting the runtime error Unable to find a valid cuDNN algorithm to run convolution and I don't know how to solve it. Has anyone seen this or have any understanding of where it's coming from that I could resolve the issue?

Thanks, here's the traceback:
Traceback (most recent call last):
File "scripts/txt2img.py", line 344, in
main()
File "scripts/txt2img.py", line 295, in main
samples_ddim, _ = sampler.sample(S=opt.ddim_steps,
File "C:\Users\Matthew.conda\envs\ldm\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "c:\stable-diffusion\stable-diffusion-main\ldm\models\diffusion\ddim.py", line 96, in sample
samples, intermediates = self.ddim_sampling(conditioning, size,
File "C:\Users\Matthew.conda\envs\ldm\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "c:\stable-diffusion\stable-diffusion-main\ldm\models\diffusion\ddim.py", line 149, in ddim_sampling
outs = self.p_sample_ddim(img, cond, ts, index=index, use_original_steps=ddim_use_original_steps,
File "C:\Users\Matthew.conda\envs\ldm\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "c:\stable-diffusion\stable-diffusion-main\ldm\models\diffusion\ddim.py", line 177, in p_sample_ddim
e_t_uncond, e_t = self.model.apply_model(x_in, t_in, c_in).chunk(2)
File "c:\stable-diffusion\stable-diffusion-main\ldm\models\diffusion\ddpm.py", line 987, in apply_model
x_recon = self.model(x_noisy, t, **cond)
File "C:\Users\Matthew.conda\envs\ldm\lib\site-packages\torch\nn\modules\module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "c:\stable-diffusion\stable-diffusion-main\ldm\models\diffusion\ddpm.py", line 1410, in forward
out = self.diffusion_model(x, t, context=cc)
File "C:\Users\Matthew.conda\envs\ldm\lib\site-packages\torch\nn\modules\module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "c:\stable-diffusion\stable-diffusion-main\ldm\modules\diffusionmodules\openaimodel.py", line 732, in forward
h = module(h, emb, context)
File "C:\Users\Matthew.conda\envs\ldm\lib\site-packages\torch\nn\modules\module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "c:\stable-diffusion\stable-diffusion-main\ldm\modules\diffusionmodules\openaimodel.py", line 87, in forward
x = layer(x)
File "C:\Users\Matthew.conda\envs\ldm\lib\site-packages\torch\nn\modules\module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Users\Matthew.conda\envs\ldm\lib\site-packages\torch\nn\modules\conv.py", line 447, in forward
return self._conv_forward(input, self.weight, self.bias)
File "C:\Users\Matthew.conda\envs\ldm\lib\site-packages\torch\nn\modules\conv.py", line 443, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,
RuntimeError: Unable to find a valid cuDNN algorithm to run convolution