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Fix k_diffusion math being off by a tiny bit during txt2img.
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@ -650,7 +650,10 @@ class KSampler:
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self.model_k.latent_image = latent_image
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self.model_k.latent_image = latent_image
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self.model_k.noise = noise
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self.model_k.noise = noise
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noise = noise * sigmas[0]
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if max_denoise:
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noise = noise * torch.sqrt(1.0 + sigmas[0] ** 2.0)
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else:
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noise = noise * sigmas[0]
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k_callback = None
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k_callback = None
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total_steps = len(sigmas) - 1
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total_steps = len(sigmas) - 1
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