RunTime Error: Input type (torch.cuda.FloatTensor) and weight type (torch.cuda.HalfTensor) should be the same

[urbanscribe]

generates the SD base image fine
then fails (i[m assuming when upscaling)

Any thoughts?
windows
model and scripts installed
enviroment activated

error =
RuntimeError: Input type (torch.cuda.FloatTensor) and weight type (torch.cuda.HalfTensor) should be the same

full dump
File "scripts/txt2imghd.py", line 550, in
main()
File "scripts/txt2imghd.py", line 365, in main
text2img2(opt)
File "scripts/txt2imghd.py", line 489, in text2img2
init_latent = model.get_first_stage_encoding(model.encode_first_stage(init_image)) # move to latent space
File "C:\Users\ajfsh\anaconda3\envs\ldm2\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "c:\stablediffusion\stable-diffusion-main\ldm\models\diffusion\ddpm.py", line 863, in encode_first_stage
return self.first_stage_model.encode(x)
File "c:\stablediffusion\stable-diffusion-main\ldm\models\autoencoder.py", line 325, in encode
h = self.encoder(x)
File "C:\Users\ajfsh\anaconda3\envs\ldm2\lib\site-packages\torch\nn\modules\module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "c:\stablediffusion\stable-diffusion-main\ldm\modules\diffusionmodules\model.py", line 439, in forward
hs = [self.conv_in(x)]
File "C:\Users\ajfsh\anaconda3\envs\ldm2\lib\site-packages\torch\nn\modules\module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "C:\Users\ajfsh\anaconda3\envs\ldm2\lib\site-packages\torch\nn\modules\conv.py", line 447, in forward
return self._conv_forward(input, self.weight, self.bias)
File "C:\Users\ajfsh\anaconda3\envs\ldm2\lib\site-packages\torch\nn\modules\conv.py", line 443, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,
RuntimeError: Input type (torch.cuda.FloatTensor) and weight type (torch.cuda.HalfTensor) should be the same