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Cleanup: Use sampling noise scaling function for inpainting.
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@ -278,7 +278,7 @@ class KSamplerX0Inpaint(torch.nn.Module):
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def forward(self, x, sigma, uncond, cond, cond_scale, denoise_mask, model_options={}, seed=None):
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if denoise_mask is not None:
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latent_mask = 1. - denoise_mask
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x = x * denoise_mask + (self.latent_image + self.noise * sigma.reshape([sigma.shape[0]] + [1] * (len(self.noise.shape) - 1))) * latent_mask
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x = x * denoise_mask + self.inner_model.inner_model.model_sampling.noise_scaling(sigma.reshape([sigma.shape[0]] + [1] * (len(self.noise.shape) - 1)), self.noise, self.latent_image) * latent_mask
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out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, model_options=model_options, seed=seed)
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if denoise_mask is not None:
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out = out * denoise_mask + self.latent_image * latent_mask
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