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Artiprocher
2025-02-17 17:32:25 +08:00
parent 7434ec8fcd
commit 3681adc5ac
12 changed files with 2866 additions and 8 deletions
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7
diffsynth/schedulers/flow_match.py
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@@ -4,13 +4,14 @@ import torch
class FlowMatchScheduler():
def __init__(self, num_inference_steps=100, num_train_timesteps=1000, shift=3.0, sigma_max=1.0, sigma_min=0.003/1.002, inverse_timesteps=False, extra_one_step=False):
def __init__(self, num_inference_steps=100, num_train_timesteps=1000, shift=3.0, sigma_max=1.0, sigma_min=0.003/1.002, inverse_timesteps=False, extra_one_step=False, reverse_sigmas=False):
self.num_train_timesteps = num_train_timesteps
self.shift = shift
self.sigma_max = sigma_max
self.sigma_min = sigma_min
self.inverse_timesteps = inverse_timesteps
self.extra_one_step = extra_one_step
self.reverse_sigmas = reverse_sigmas
self.set_timesteps(num_inference_steps)
@@ -23,6 +24,8 @@ class FlowMatchScheduler():
if self.inverse_timesteps:
self.sigmas = torch.flip(self.sigmas, dims=[0])
self.sigmas = self.shift * self.sigmas / (1 + (self.shift - 1) * self.sigmas)
if self.reverse_sigmas:
self.sigmas = 1 - self.sigmas
self.timesteps = self.sigmas * self.num_train_timesteps
if training:
x = self.timesteps
@@ -38,7 +41,7 @@ class FlowMatchScheduler():
timestep_id = torch.argmin((self.timesteps - timestep).abs())
sigma = self.sigmas[timestep_id]
if to_final or timestep_id + 1 >= len(self.timesteps):
sigma_ = 1 if self.inverse_timesteps else 0
sigma_ = 1 if (self.inverse_timesteps or self.reverse_sigmas) else 0
else:
sigma_ = self.sigmas[timestep_id + 1]
prev_sample = sample + model_output * (sigma_ - sigma)