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Default device for sigma tensor to CPU

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* Consistent with implementations in k-diffusion.
* Makes this compatible with https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15823
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Logan 2024-05-18 09:09:57 +10:00
parent d6b4444069
commit 1d74482817
1 changed files with 1 additions and 1 deletions
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modules/sd_schedulers.py
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@ -33,7 +33,7 @@ def sgm_uniform(n, sigma_min, sigma_max, inner_model, device):
sigs += [0.0] sigs += [0.0]
return torch.FloatTensor(sigs).to(device) return torch.FloatTensor(sigs).to(device)
def get_align_your_steps_sigmas(n, sigma_min, sigma_max, device): def get_align_your_steps_sigmas(n, sigma_min, sigma_max, device='cpu'):
# https://research.nvidia.com/labs/toronto-ai/AlignYourSteps/howto.html # https://research.nvidia.com/labs/toronto-ai/AlignYourSteps/howto.html
def loglinear_interp(t_steps, num_steps): def loglinear_interp(t_steps, num_steps):
""" """