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src/python/training/train_ldm.py

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@@ -74,12 +74,10 @@ def main(args):
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model_type="diffusion",
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)
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# Load Autoencoder to produce the latent representations
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print(f"Loading Stage 1 from {args.stage1_uri}")
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stage1 = mlflow.pytorch.load_model(args.stage1_uri)
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stage1.eval()
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# Create the diffusion model
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print("Creating model...")
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config = OmegaConf.load(args.config_file)
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diffusion = DiffusionModelUNet(**config["ldm"].get("params", dict()))

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