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authorMuhammad Rizqi Nur <rizqinur2010@gmail.com>2022-11-13 11:11:14 +0700
committerMuhammad Rizqi Nur <rizqinur2010@gmail.com>2022-11-19 11:44:37 +0700
commitc7be83bf0240498d9382e2afeaa3f0677d26c7f6 (patch)
tree791cbc16f773572ab868657ba3502069a07f7ff3
parentabc1e79a5da24a1ea0f4bceedcdf225f32010aa8 (diff)
Misc
Misc
-rw-r--r--modules/sd_models.py1
-rw-r--r--modules/sd_vae.py3
-rw-r--r--modules/shared.py2
3 files changed, 3 insertions, 3 deletions
diff --git a/modules/sd_models.py b/modules/sd_models.py
index e4dba62c..cd7fe37a 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -220,6 +220,7 @@ def load_model_weights(model, checkpoint_info, vae_file="auto"):
model.sd_model_checkpoint = checkpoint_file
model.sd_checkpoint_info = checkpoint_info
+ sd_vae.delete_base_vae()
sd_vae.clear_loaded_vae()
sd_vae.load_vae(model, vae_file)
diff --git a/modules/sd_vae.py b/modules/sd_vae.py
index dd69a5e6..13bf3d31 100644
--- a/modules/sd_vae.py
+++ b/modules/sd_vae.py
@@ -154,8 +154,7 @@ def load_vae(model, vae_file=None):
if vae_opt not in vae_dict:
vae_dict[vae_opt] = vae_file
vae_list.append(vae_opt)
- # shared.opts.data['sd_vae'] = vae_opt
- else:
+ elif loaded_vae_file:
restore_base_vae(model)
loaded_vae_file = vae_file
diff --git a/modules/shared.py b/modules/shared.py
index 17132e42..a9daf800 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -335,7 +335,7 @@ options_templates.update(options_section(('training', "Training"), {
options_templates.update(options_section(('sd', "Stable Diffusion"), {
"sd_model_checkpoint": OptionInfo(None, "Stable Diffusion checkpoint", gr.Dropdown, lambda: {"choices": modules.sd_models.checkpoint_tiles()}, refresh=sd_models.list_models),
"sd_checkpoint_cache": OptionInfo(0, "Checkpoints to cache in RAM", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}),
- "sd_vae": OptionInfo("auto", "SD VAE", gr.Dropdown, lambda: {"choices": list(sd_vae.vae_list)}, refresh=sd_vae.refresh_vae_list),
+ "sd_vae": OptionInfo("auto", "SD VAE", gr.Dropdown, lambda: {"choices": sd_vae.vae_list}, refresh=sd_vae.refresh_vae_list),
"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}),