support old configs that say "auto" for ssd_vae

change sd_vae_as_default to True by default as it's a more sensible setting

modules/sd_vae.py

@@ -94,8 +94,10 @@ def resolve_vae(checkpoint_file):
     if shared.cmd_opts.vae_path is not None:
         return shared.cmd_opts.vae_path, 'from commandline argument'
 
+    is_automatic = shared.opts.sd_vae in {"Automatic", "auto"}  # "auto" for people with old config
+
     vae_near_checkpoint = find_vae_near_checkpoint(checkpoint_file)
-    if vae_near_checkpoint is not None and (shared.opts.sd_vae_as_default or shared.opts.sd_vae == "Automatic"):
+    if vae_near_checkpoint is not None and (shared.opts.sd_vae_as_default or is_automatic):
         return vae_near_checkpoint, 'found near the checkpoint'
 
     if shared.opts.sd_vae == "None":
@@ -105,7 +107,7 @@ def resolve_vae(checkpoint_file):
     if vae_from_options is not None:
         return vae_from_options, 'specified in settings'
 
-    if shared.opts.sd_vae != "Automatic":
+    if is_automatic:
         print(f"Couldn't find VAE named {shared.opts.sd_vae}; using None instead")
 
     return None, None

modules/shared.py

@@ -394,7 +394,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
     "sd_checkpoint_cache": OptionInfo(0, "Checkpoints to cache in RAM", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}),
     "sd_vae_checkpoint_cache": OptionInfo(0, "VAE Checkpoints to cache in RAM", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}),
     "sd_vae": OptionInfo("Automatic", "SD VAE", gr.Dropdown, lambda: {"choices": ["Automatic", "None"] + list(sd_vae.vae_dict)}, refresh=sd_vae.refresh_vae_list),
-    "sd_vae_as_default": OptionInfo(False, "Ignore selected VAE for stable diffusion checkpoints that have their own .vae.pt next to them"),
+    "sd_vae_as_default": OptionInfo(True, "Ignore selected VAE for stable diffusion checkpoints that have their own .vae.pt next to them"),
     "sd_hypernetwork": OptionInfo("None", "Hypernetwork", gr.Dropdown, lambda: {"choices": ["None"] + [x for x in hypernetworks.keys()]}, refresh=reload_hypernetworks),
     "sd_hypernetwork_strength": OptionInfo(1.0, "Hypernetwork strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.001}),
     "inpainting_mask_weight": OptionInfo(1.0, "Inpainting conditioning mask strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),