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Switch to a continous blend for cond. image.

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random_thoughtss
2022-10-25 13:15:08 -07:00
parent 605d27687f
commit 8b4f32779f
3 changed files with 8 additions and 8 deletions
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9
modules/processing.py
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@@ -769,9 +769,12 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
# Create another latent image, this time with a masked version of the original input.
conditioning_mask = conditioning_mask.to(image.device)
conditioning_image = image
if getattr(self, "inpainting_mask_image", shared.opts.inpainting_mask_image):
conditioning_image = conditioning_image * (1.0 - conditioning_mask)
# Smoothly interpolate between the masked and unmasked latent conditioning image.
conditioning_image = torch.lerp(
image,
image * (1.0 - conditioning_mask),
getattr(self, "inpainting_mask_weight", shared.opts.inpainting_mask_weight)
)
conditioning_image = self.sd_model.get_first_stage_encoding(self.sd_model.encode_first_stage(conditioning_image))