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Allow model sampling to set number of timesteps.

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comfyanonymous 2024-07-16 15:18:24 -04:00
parent e1630391d6
commit 821f93872e
1 changed files with 2 additions and 1 deletions
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comfy/model_sampling.py
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@ -59,8 +59,9 @@ class ModelSamplingDiscrete(torch.nn.Module):
beta_schedule = sampling_settings.get("beta_schedule", "linear") beta_schedule = sampling_settings.get("beta_schedule", "linear")
linear_start = sampling_settings.get("linear_start", 0.00085) linear_start = sampling_settings.get("linear_start", 0.00085)
linear_end = sampling_settings.get("linear_end", 0.012) linear_end = sampling_settings.get("linear_end", 0.012)
timesteps = sampling_settings.get("timesteps", 1000)
self._register_schedule(given_betas=None, beta_schedule=beta_schedule, timesteps=1000, linear_start=linear_start, linear_end=linear_end, cosine_s=8e-3) self._register_schedule(given_betas=None, beta_schedule=beta_schedule, timesteps=timesteps, linear_start=linear_start, linear_end=linear_end, cosine_s=8e-3)
self.sigma_data = 1.0 self.sigma_data = 1.0
def _register_schedule(self, given_betas=None, beta_schedule="linear", timesteps=1000, def _register_schedule(self, given_betas=None, beta_schedule="linear", timesteps=1000,