add vae path args
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@ -147,7 +147,7 @@ def load_model_weights(model, checkpoint_info):
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devices.dtype = torch.float32 if shared.cmd_opts.no_half else torch.float16
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vae_file = os.path.splitext(checkpoint_file)[0] + ".vae.pt"
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vae_file = shared.cmd_opts.vae_path or os.path.splitext(checkpoint_file)[0] + ".vae.pt"
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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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@ -64,7 +64,7 @@ parser.add_argument("--autolaunch", action='store_true', help="open the webui UR
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parser.add_argument("--use-textbox-seed", action='store_true', help="use textbox for seeds in UI (no up/down, but possible to input long seeds)", default=False)
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parser.add_argument("--disable-console-progressbars", action='store_true', help="do not output progressbars to console", default=False)
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parser.add_argument("--enable-console-prompts", action='store_true', help="print prompts to console when generating with txt2img and img2img", default=False)
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parser.add_argument('--vae-path', type=str, help='Path to Variational Autoencoders model', default=None)
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cmd_opts = parser.parse_args()
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