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| author | Muhammad Rizqi Nur <rizqinur2010@gmail.com> | 2022-11-13 04:11:14 +0000 |
|---|---|---|
| committer | Muhammad Rizqi Nur <rizqinur2010@gmail.com> | 2022-11-19 04:44:37 +0000 |
| commit | c7be83bf0240498d9382e2afeaa3f0677d26c7f6 (patch) | |
| tree | 791cbc16f773572ab868657ba3502069a07f7ff3 /modules | |
| parent | abc1e79a5da24a1ea0f4bceedcdf225f32010aa8 (diff) | |
| download | stable-diffusion-webui-gfx803-c7be83bf0240498d9382e2afeaa3f0677d26c7f6.tar.gz stable-diffusion-webui-gfx803-c7be83bf0240498d9382e2afeaa3f0677d26c7f6.tar.bz2 stable-diffusion-webui-gfx803-c7be83bf0240498d9382e2afeaa3f0677d26c7f6.zip | |
Misc
Misc
Diffstat (limited to 'modules')
| -rw-r--r-- | modules/sd_models.py | 1 | ||||
| -rw-r--r-- | modules/sd_vae.py | 3 | ||||
| -rw-r--r-- | modules/shared.py | 2 |
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}),
|