Clamping diffusion output

This commit is contained in:
Victor Mylle
2024-02-12 09:54:56 +00:00
parent 77be7371df
commit d10f8a5ff6

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@@ -54,8 +54,8 @@ model_parameters = {
model_parameters = task.connect(model_parameters, name="model_parameters")
#### Model ####
model = SimpleDiffusionModel(96, model_parameters["hidden_sizes"], other_inputs_dim=inputDim[1], time_dim=model_parameters["time_dim"])
# model = GRUDiffusionModel(96, model_parameters["hidden_sizes"], other_inputs_dim=inputDim[2], time_dim=model_parameters["time_dim"], gru_hidden_size=256)
# model = SimpleDiffusionModel(96, model_parameters["hidden_sizes"], other_inputs_dim=inputDim[1], time_dim=model_parameters["time_dim"])
model = GRUDiffusionModel(96, model_parameters["hidden_sizes"], other_inputs_dim=inputDim[2], time_dim=model_parameters["time_dim"], gru_hidden_size=256)
print("Starting training ...")