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authorAUTOMATIC1111 <16777216c@gmail.com>2023-06-05 08:06:37 +0000
committerGitHub <noreply@github.com>2023-06-05 08:06:37 +0000
commit7a7a201d819ea9920a1f067c556ec3998911f01a (patch)
tree5a834df58178642477e0ab8bd0ab0a53e66f153a /modules/processing.py
parent9781f31f74c1f6acf8e1260f076aeb7a71e2766f (diff)
parent51864790fd72386fbbbb015d24a43ce501ecaa4b (diff)
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Merge pull request #10956 from akx/len
Simplify a bunch of `len(x) > 0`/`len(x) == 0` style expressions
Diffstat (limited to 'modules/processing.py')
-rw-r--r--modules/processing.py3
1 files changed, 2 insertions, 1 deletions
diff --git a/modules/processing.py b/modules/processing.py
index 230053e4..f8225b83 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -981,7 +981,8 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
latent_scale_mode = shared.latent_upscale_modes.get(self.hr_upscaler, None) if self.hr_upscaler is not None else shared.latent_upscale_modes.get(shared.latent_upscale_default_mode, "nearest")
if self.enable_hr and latent_scale_mode is None:
- assert len([x for x in shared.sd_upscalers if x.name == self.hr_upscaler]) > 0, f"could not find upscaler named {self.hr_upscaler}"
+ if not any(x.name == self.hr_upscaler for x in shared.sd_upscalers):
+ raise Exception(f"could not find upscaler named {self.hr_upscaler}")
x = create_random_tensors([opt_C, self.height // opt_f, self.width // opt_f], seeds=seeds, subseeds=subseeds, subseed_strength=self.subseed_strength, seed_resize_from_h=self.seed_resize_from_h, seed_resize_from_w=self.seed_resize_from_w, p=self)
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))