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Haoming
2025-11-28 11:41:53 +08:00
parent 6216cc01c7
commit 0d5124371a
1 changed files with 0 additions and 32 deletions
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backend/modules/k_prediction.py
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@@ -238,38 +238,6 @@ class PredictionFlow(AbstractPrediction):
return 1.0 - percent
class PredictionDiscreteFlow(AbstractPrediction):
def __init__(self, sigma_data=1.0, prediction_type="const", shift=1.0, timesteps=1000):
super().__init__(sigma_data=sigma_data, prediction_type=prediction_type)
self.shift = shift
ts = self.sigma(torch.arange(1, timesteps + 1, 1))
self.register_buffer("sigmas", ts)
@property
def sigma_min(self):
return self.sigmas[0]
@property
def sigma_max(self):
return self.sigmas[-1]
def timestep(self, sigma):
return sigma * 1000
def sigma(self, timestep: torch.Tensor):
timestep = timestep / 1000.0
if self.shift == 1.0:
return timestep
return self.shift * timestep / (1 + (self.shift - 1) * timestep)
def percent_to_sigma(self, percent):
if percent <= 0.0:
return 1.0
if percent >= 1.0:
return 0.0
return 1.0 - percent
class PredictionFlux(AbstractPrediction):
def __init__(self, seq_len=4096, base_seq_len=256, max_seq_len=4096, base_shift=0.5, max_shift=1.15, pseudo_timestep_range=10000, mu=None):
super().__init__(sigma_data=1.0, prediction_type="const")