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Align simple scheduling closer to official stable cascade scheduler.

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comfyanonymous 2024-02-20 04:05:39 -05:00
parent ec4d89cee9
commit c6b7a157ed
1 changed files with 2 additions and 2 deletions
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comfy/model_sampling.py
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@ -150,10 +150,10 @@ class StableCascadeSampling(ModelSamplingDiscrete):
self._init_alpha_cumprod = torch.cos(self.cosine_s / (1 + self.cosine_s) * torch.pi * 0.5) ** 2 self._init_alpha_cumprod = torch.cos(self.cosine_s / (1 + self.cosine_s) * torch.pi * 0.5) ** 2
#This part is just for compatibility with some schedulers in the codebase #This part is just for compatibility with some schedulers in the codebase
self.num_timesteps = 1000 self.num_timesteps = 10000
sigmas = torch.empty((self.num_timesteps), dtype=torch.float32) sigmas = torch.empty((self.num_timesteps), dtype=torch.float32)
for x in range(self.num_timesteps): for x in range(self.num_timesteps):
t = x / self.num_timesteps t = (x + 1) / self.num_timesteps
sigmas[x] = self.sigma(t) sigmas[x] = self.sigma(t)
self.set_sigmas(sigmas) self.set_sigmas(sigmas)