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Fix for fill latent zeros/noise in masking mode

This commit is contained in:
deggua 2022-09-02 07:18:12 -04:00
parent 7b9c301f89
commit f9c0046897
1 changed files with 6 additions and 0 deletions
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6
webui.py
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@ -1573,6 +1573,12 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
self.mask = torch.asarray(1.0 - latmask).to(device).type(sd_model.dtype) self.mask = torch.asarray(1.0 - latmask).to(device).type(sd_model.dtype)
self.nmask = torch.asarray(latmask).to(device).type(sd_model.dtype) self.nmask = torch.asarray(latmask).to(device).type(sd_model.dtype)
if self.mask is not None:
if self.inpainting_fill == 2:
self.init_latent = self.init_latent * self.mask + create_random_tensors(self.init_latent.shape[1:], [self.seed + x + 1 for x in range(self.init_latent.shape[0])]) * self.nmask
elif self.inpainting_fill == 3:
self.init_latent = self.init_latent * self.mask
def sample(self, x, conditioning, unconditional_conditioning): def sample(self, x, conditioning, unconditional_conditioning):
if self.mask is not None: if self.mask is not None: