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| author | AUTOMATIC1111 <16777216c@gmail.com> | 2023-01-04 13:47:36 +0300 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-01-04 13:47:36 +0300 |
| commit | 6281c1bdb44165ef466bbfdc1d7490e33269bfdc (patch) | |
| tree | 4650be258ee96c8ad0cc0816371805342f66e121 /modules/processing.py | |
| parent | 77c3bc77479cb41be1fbae310d073da4b43530c1 (diff) | |
| parent | b2151b934fe0a3613570c6abd7615d3788fd1c8f (diff) | |
Merge pull request #6299 from stysmmaker/feat/latent-upscale-modes
Add more latent upscale modes
Diffstat (limited to 'modules/processing.py')
| -rw-r--r-- | modules/processing.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/modules/processing.py b/modules/processing.py index 93e75ba6..fd7c7015 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -713,7 +713,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing): for i in range(samples.shape[0]):
save_intermediate(samples, i)
- samples = torch.nn.functional.interpolate(samples, size=(target_height // opt_f, target_width // opt_f), mode=latent_scale_mode)
+ samples = torch.nn.functional.interpolate(samples, size=(target_height // opt_f, target_width // opt_f), mode=latent_scale_mode["mode"], antialias=latent_scale_mode["antialias"])
# Avoid making the inpainting conditioning unless necessary as
# this does need some extra compute to decode / encode the image again.
|