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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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no to different messages plus fix using != to compare to None
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@ -152,15 +152,12 @@ def load_model_weights(model, checkpoint_info):
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devices.dtype_vae = torch.float32 if shared.cmd_opts.no_half or shared.cmd_opts.no_half_vae else torch.float16
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devices.dtype_vae = torch.float32 if shared.cmd_opts.no_half or shared.cmd_opts.no_half_vae else torch.float16
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vae_file = os.path.splitext(checkpoint_file)[0] + ".vae.pt"
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vae_file = os.path.splitext(checkpoint_file)[0] + ".vae.pt"
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if os.path.exists(vae_file):
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print(f"Found VAE Weights: {vae_file}")
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if not os.path.exists(vae_file) and shared.cmd_opts.vae_path is not None:
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elif shared.cmd_opts.vae_path != None:
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vae_file = shared.cmd_opts.vae_path
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vae_file = shared.cmd_opts.vae_path
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print(f'No VAE found for inside the model folder. Using CLI specified : {vae_file}')
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else:
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print("No VAE found for inside the model folder. Passing.")
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if os.path.exists(vae_file):
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if os.path.exists(vae_file):
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print(f"Loading VAE weights from: {vae_file}")
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vae_ckpt = torch.load(vae_file, map_location="cpu")
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vae_ckpt = torch.load(vae_file, map_location="cpu")
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vae_dict = {k: v for k, v in vae_ckpt["state_dict"].items() if k[0:4] != "loss"}
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vae_dict = {k: v for k, v in vae_ckpt["state_dict"].items() if k[0:4] != "loss"}
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