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support differential diffusion nodes
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@ -280,6 +280,8 @@ class KSamplerX0Inpaint(torch.nn.Module):
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self.inner_model = model
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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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if "denoise_mask_function" in model_options:
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denoise_mask = model_options["denoise_mask_function"](sigma, denoise_mask)
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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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out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, model_options=model_options, seed=seed)
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