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This isn't used anywhere.

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comfyanonymous 2023-09-15 12:03:03 -04:00
parent 44361f6344
commit 94e4fe39d8
1 changed files with 1 additions and 2 deletions
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comfy/ldm/models/diffusion/ddim.py
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@ -33,7 +33,6 @@ class DDIMSampler(object):
assert alphas_cumprod.shape[0] == self.ddpm_num_timesteps, 'alphas have to be defined for each timestep' assert alphas_cumprod.shape[0] == self.ddpm_num_timesteps, 'alphas have to be defined for each timestep'
to_torch = lambda x: x.clone().detach().to(torch.float32).to(self.device) to_torch = lambda x: x.clone().detach().to(torch.float32).to(self.device)
self.register_buffer('betas', to_torch(self.model.betas))
self.register_buffer('alphas_cumprod', to_torch(alphas_cumprod)) self.register_buffer('alphas_cumprod', to_torch(alphas_cumprod))
self.register_buffer('alphas_cumprod_prev', to_torch(self.model.alphas_cumprod_prev)) self.register_buffer('alphas_cumprod_prev', to_torch(self.model.alphas_cumprod_prev))
@ -195,7 +194,7 @@ class DDIMSampler(object):
temperature=1., noise_dropout=0., score_corrector=None, corrector_kwargs=None, temperature=1., noise_dropout=0., score_corrector=None, corrector_kwargs=None,
unconditional_guidance_scale=1., unconditional_conditioning=None, dynamic_threshold=None, unconditional_guidance_scale=1., unconditional_conditioning=None, dynamic_threshold=None,
ucg_schedule=None, denoise_function=None, extra_args=None, to_zero=True, end_step=None, disable_pbar=False): ucg_schedule=None, denoise_function=None, extra_args=None, to_zero=True, end_step=None, disable_pbar=False):
device = self.model.betas.device device = self.model.alphas_cumprod.device
b = shape[0] b = shape[0]
if x_T is None: if x_T is None:
img = torch.randn(shape, device=device) img = torch.randn(shape, device=device)