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| author | brkirch <brkirch@users.noreply.github.com> | 2022-10-25 06:01:57 +0000 |
|---|---|---|
| committer | AUTOMATIC1111 <16777216c@gmail.com> | 2022-10-25 06:42:53 +0000 |
| commit | faed465a0b1a7d19669568738c93e04907c10415 (patch) | |
| tree | 912274ef626bababc846ee9849bc4b390e968c44 /modules/esrgan_model.py | |
| parent | 4c24347e45776d505937856ab280548d9298f0a8 (diff) | |
| download | stable-diffusion-webui-gfx803-faed465a0b1a7d19669568738c93e04907c10415.tar.gz stable-diffusion-webui-gfx803-faed465a0b1a7d19669568738c93e04907c10415.tar.bz2 stable-diffusion-webui-gfx803-faed465a0b1a7d19669568738c93e04907c10415.zip | |
MPS Upscalers Fix
Get ESRGAN, SCUNet, and SwinIR working correctly on MPS by ensuring memory is contiguous for tensor views before sending to MPS device.
Diffstat (limited to 'modules/esrgan_model.py')
| -rw-r--r-- | modules/esrgan_model.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/modules/esrgan_model.py b/modules/esrgan_model.py index a49e2258..a13cf6ac 100644 --- a/modules/esrgan_model.py +++ b/modules/esrgan_model.py @@ -190,7 +190,7 @@ def upscale_without_tiling(model, img): img = img[:, :, ::-1]
img = np.ascontiguousarray(np.transpose(img, (2, 0, 1))) / 255
img = torch.from_numpy(img).float()
- img = img.unsqueeze(0).to(devices.device_esrgan)
+ img = devices.mps_contiguous_to(img.unsqueeze(0), devices.device_esrgan)
with torch.no_grad():
output = model(img)
output = output.squeeze().float().cpu().clamp_(0, 1).numpy()
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