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Add linear_start and linear_end to model_config.sampling_settings

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comfyanonymous 2023-12-08 02:49:30 -05:00
parent 9ac0b487ac
commit a4ec54a40d
1 changed files with 10 additions and 3 deletions
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13
comfy/model_sampling.py
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@ -22,10 +22,17 @@ class V_PREDICTION(EPS):
class ModelSamplingDiscrete(torch.nn.Module):
def __init__(self, model_config=None):
super().__init__()
beta_schedule = "linear"
if model_config is not None:
beta_schedule = model_config.sampling_settings.get("beta_schedule", beta_schedule)
self._register_schedule(given_betas=None, beta_schedule=beta_schedule, timesteps=1000, linear_start=0.00085, linear_end=0.012, cosine_s=8e-3)
sampling_settings = model_config.sampling_settings
else:
sampling_settings = {}
beta_schedule = sampling_settings.get("beta_schedule", "linear")
linear_start = sampling_settings.get("linear_start", 0.00085)
linear_end = sampling_settings.get("linear_end", 0.012)
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.sigma_data = 1.0
def _register_schedule(self, given_betas=None, beta_schedule="linear", timesteps=1000,