From b29e7cbd22437db90ec998bd02f9676d149371d3 Mon Sep 17 00:00:00 2001 From: changwenbin Date: Wed, 4 Sep 2024 09:55:13 +0000 Subject: [PATCH 1/2] sd3_step1 --- .../scheduling_flow_match_euler_discrete.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/ppdiffusers/ppdiffusers/schedulers/scheduling_flow_match_euler_discrete.py b/ppdiffusers/ppdiffusers/schedulers/scheduling_flow_match_euler_discrete.py index ec71c1f51..f26f997f7 100644 --- a/ppdiffusers/ppdiffusers/schedulers/scheduling_flow_match_euler_discrete.py +++ b/ppdiffusers/ppdiffusers/schedulers/scheduling_flow_match_euler_discrete.py @@ -24,7 +24,6 @@ from ..utils.paddle_utils import randn_tensor from .scheduling_utils import SchedulerMixin - logger = logging.get_logger(__name__) # pylint: disable=invalid-name @@ -245,12 +244,13 @@ def step( sample = sample.cast(paddle.float32) sigma = self.sigmas[self.step_index] + # NOTE:(changwenbin & zhoukangkang) when s_churn == 0.0,not need to compute gamma, Can reduce cuda synchronization + if s_churn == 0.0: + gamma = 0.0 + else: + gamma = min(s_churn / (len(self.sigmas) - 1), 2**0.5 - 1) if s_tmin <= sigma <= s_tmax else 0.0 - gamma = min(s_churn / (len(self.sigmas) - 1), 2**0.5 - 1) if s_tmin <= sigma <= s_tmax else 0.0 - - noise = randn_tensor( - model_output.shape, dtype=model_output.dtype, generator=generator - ) + noise = randn_tensor(model_output.shape, dtype=model_output.dtype, generator=generator) eps = noise * s_noise sigma_hat = sigma * (gamma + 1) @@ -283,4 +283,4 @@ def step( return FlowMatchEulerDiscreteSchedulerOutput(prev_sample=prev_sample) def __len__(self): - return self.config.num_train_timesteps \ No newline at end of file + return self.config.num_train_timesteps From 6a19f23e9c0ef366a359dbc134a8eb9885f7a9a7 Mon Sep 17 00:00:00 2001 From: changwenbin Date: Wed, 4 Sep 2024 09:58:03 +0000 Subject: [PATCH 2/2] sd3_step1 --- .../schedulers/scheduling_flow_match_euler_discrete.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ppdiffusers/ppdiffusers/schedulers/scheduling_flow_match_euler_discrete.py b/ppdiffusers/ppdiffusers/schedulers/scheduling_flow_match_euler_discrete.py index f26f997f7..56ea8074b 100644 --- a/ppdiffusers/ppdiffusers/schedulers/scheduling_flow_match_euler_discrete.py +++ b/ppdiffusers/ppdiffusers/schedulers/scheduling_flow_match_euler_discrete.py @@ -244,7 +244,7 @@ def step( sample = sample.cast(paddle.float32) sigma = self.sigmas[self.step_index] - # NOTE:(changwenbin & zhoukangkang) when s_churn == 0.0,not need to compute gamma, Can reduce cuda synchronization + # NOTE:(changwenbin & zhoukangkang) when s_churn == 0.0,not need to compute gamma, Can avoid cuda synchronization if s_churn == 0.0: gamma = 0.0 else: