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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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Merge branch 'a1111' into vae-fix-none
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@@ -95,7 +95,7 @@ def get_vae_from_settings(vae_file="auto"):
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# if VAE selected but not found, fallback to auto
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if vae_file not in default_vae_values and not os.path.isfile(vae_file):
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vae_file = "auto"
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print("Selected VAE doesn't exist")
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print(f"Selected VAE doesn't exist: {vae_file}")
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return vae_file
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@@ -105,15 +105,15 @@ def resolve_vae(checkpoint_file=None, vae_file="auto"):
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# if vae_file argument is provided, it takes priority, but not saved
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if vae_file and vae_file not in default_vae_list:
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if not os.path.isfile(vae_file):
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print(f"VAE provided as function argument doesn't exist: {vae_file}")
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vae_file = "auto"
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print("VAE provided as function argument doesn't exist")
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# for the first load, if vae-path is provided, it takes priority, saved, and failure is reported
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if first_load and shared.cmd_opts.vae_path is not None:
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if os.path.isfile(shared.cmd_opts.vae_path):
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vae_file = shared.cmd_opts.vae_path
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shared.opts.data['sd_vae'] = get_filename(vae_file)
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else:
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print("VAE provided as command line argument doesn't exist")
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print(f"VAE provided as command line argument doesn't exist: {vae_file}")
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# fallback to selector in settings, if vae selector not set to act as default fallback
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if not shared.opts.sd_vae_as_default:
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vae_file = get_vae_from_settings(vae_file)
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@@ -121,20 +121,20 @@ def resolve_vae(checkpoint_file=None, vae_file="auto"):
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if vae_file == "auto" and shared.cmd_opts.vae_path is not None:
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if os.path.isfile(shared.cmd_opts.vae_path):
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vae_file = shared.cmd_opts.vae_path
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print("Using VAE provided as command line argument")
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print(f"Using VAE provided as command line argument: {vae_file}")
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# if still not found, try look for ".vae.pt" beside model
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model_path = os.path.splitext(checkpoint_file)[0]
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if vae_file == "auto":
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vae_file_try = model_path + ".vae.pt"
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if os.path.isfile(vae_file_try):
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vae_file = vae_file_try
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print("Using VAE found beside selected model")
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print(f"Using VAE found similar to selected model: {vae_file}")
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# if still not found, try look for ".vae.ckpt" beside model
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if vae_file == "auto":
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vae_file_try = model_path + ".vae.ckpt"
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if os.path.isfile(vae_file_try):
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vae_file = vae_file_try
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print("Using VAE found beside selected model")
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print(f"Using VAE found similar to selected model: {vae_file}")
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# No more fallbacks for auto
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if vae_file == "auto":
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vae_file = None
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@@ -150,6 +150,7 @@ def load_vae(model, vae_file=None):
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# save_settings = False
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if vae_file:
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assert os.path.isfile(vae_file), f"VAE file doesn't exist: {vae_file}"
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print(f"Loading VAE weights from: {vae_file}")
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store_base_vae(model)
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vae_ckpt = torch.load(vae_file, map_location=shared.weight_load_location)
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