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mirror of https://github.com/vladmandic/automatic synced 2026-09-18 16:54:33 +02:00
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fix sigmas always populated after set_timesteps

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CalamitousFelicitousness
2026-04-09 16:16:23 +01:00
parent 4d347049eb
commit 153a5febde
1 changed files with 14 additions and 2 deletions
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modules/schedulers/scheduler_ersde.py
+14 -2
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@@ -234,7 +234,13 @@ class ERSDEScheduler(SchedulerMixin, ConfigMixin):
self.num_inference_steps = len(timesteps)
timesteps = np.array(timesteps, dtype=np.int64)
self.timesteps = torch.from_numpy(timesteps).to(device)
self.sigmas = None
# Compute sigmas from alphas_cumprod so pipelines can access self.sigmas
sigmas_arr = []
for t in timesteps:
acp = self.alphas_cumprod[t].item()
sigmas_arr.append(((1 - acp) / max(acp, 1e-8)) ** 0.5)
sigmas_arr.append(0.0)
self.sigmas = torch.tensor(sigmas_arr, dtype=torch.float64, device=device)
self._flow_alphas = None
self._flow_sigmas = None
self._flow_lambdas = None
@@ -257,7 +263,13 @@ class ERSDEScheduler(SchedulerMixin, ConfigMixin):
raise ValueError(f"{self.config.timestep_spacing} is not supported")
self.timesteps = torch.from_numpy(timesteps).to(device)
self.sigmas = None
# Compute sigmas from alphas_cumprod so pipelines can access self.sigmas
sigmas_arr = []
for t in timesteps:
acp = self.alphas_cumprod[t].item()
sigmas_arr.append(((1 - acp) / max(acp, 1e-8)) ** 0.5)
sigmas_arr.append(0.0)
self.sigmas = torch.tensor(sigmas_arr, dtype=torch.float64, device=device)
self._flow_alphas = None
self._flow_sigmas = None
self._flow_lambdas = None