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Add ModelSamplingStableCascade to control the shift sampling parameter.

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shift is 2.0 by default on Stage C and 1.0 by default on Stage B.
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comfyanonymous
2024-02-18 00:55:23 -05:00
parent 6bcf57ff10
commit 8b60d33bb7
2 changed files with 35 additions and 4 deletions
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12
comfy/model_sampling.py
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@@ -142,12 +142,16 @@ class StableCascadeSampling(ModelSamplingDiscrete):
else:
sampling_settings = {}
self.num_timesteps = 1000
self.shift = sampling_settings.get("shift", 1.0)
cosine_s=8e-3
self.set_parameters(sampling_settings.get("shift", 1.0))
def set_parameters(self, shift=1.0, cosine_s=8e-3):
self.shift = shift
self.cosine_s = torch.tensor(cosine_s)
sigmas = torch.empty((self.num_timesteps), dtype=torch.float32)
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
self.num_timesteps = 1000
sigmas = torch.empty((self.num_timesteps), dtype=torch.float32)
for x in range(self.num_timesteps):
t = x / self.num_timesteps
sigmas[x] = self.sigma(t)